bert-base-uncased-test_16_5345

This model is a fine-tuned version of bert-base-uncased on the glue dataset. It achieves the following results on the evaluation set:

• Loss: 1.8214
• F1: {'f1': 0.8846905537459283}
• Accuracy: {'accuracy': 0.8302972195589645}

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2000

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Accuracy
No log	1.0	335	0.5804	{'f1': 0.817717206132879}	{'accuracy': 0.6922339405560882}
0.5859	2.0	670	0.4981	{'f1': 0.8567870485678706}	{'accuracy': 0.7794822627037392}
0.4977	3.0	1005	0.4943	{'f1': 0.8609022556390977}	{'accuracy': 0.7871524448705657}
0.4977	4.0	1340	0.4540	{'f1': 0.8674388674388674}	{'accuracy': 0.8024928092042186}
0.4561	5.0	1675	0.4592	{'f1': 0.8654217643271088}	{'accuracy': 0.7996164908916586}
0.4227	6.0	2010	0.4749	{'f1': 0.8677316293929712}	{'accuracy': 0.8015340364333653}
0.4227	7.0	2345	0.4778	{'f1': 0.8720560152768938}	{'accuracy': 0.8072866730584851}
0.3912	8.0	2680	0.4874	{'f1': 0.8702770780856423}	{'accuracy': 0.8024928092042186}
0.3832	9.0	3015	0.4636	{'f1': 0.8751592356687897}	{'accuracy': 0.8120805369127517}
0.3832	10.0	3350	0.4715	{'f1': 0.873490146217419}	{'accuracy': 0.8092042186001918}
0.3633	11.0	3685	0.4801	{'f1': 0.8746835443037975}	{'accuracy': 0.8101629913710451}
0.3534	12.0	4020	0.4806	{'f1': 0.878017789072427}	{'accuracy': 0.8159156279961649}
0.3534	13.0	4355	0.4538	{'f1': 0.8782051282051283}	{'accuracy': 0.8178331735378715}
0.3402	14.0	4690	0.5009	{'f1': 0.8788265306122449}	{'accuracy': 0.8178331735378715}
0.3127	15.0	5025	0.4424	{'f1': 0.878334417696812}	{'accuracy': 0.8207094918504314}
0.3127	16.0	5360	0.5587	{'f1': 0.8708074534161491}	{'accuracy': 0.800575263662512}
0.3066	17.0	5695	0.4430	{'f1': 0.8855656697009102}	{'accuracy': 0.8312559923298178}
0.3058	18.0	6030	0.4962	{'f1': 0.8796414852752881}	{'accuracy': 0.8197507190795782}
0.3058	19.0	6365	0.4779	{'f1': 0.8851174934725848}	{'accuracy': 0.8312559923298178}
0.2785	20.0	6700	0.5235	{'f1': 0.8757097791798107}	{'accuracy': 0.8111217641418984}
0.276	21.0	7035	0.4725	{'f1': 0.8796895213454075}	{'accuracy': 0.8216682646212847}
0.276	22.0	7370	0.4551	{'f1': 0.8844884488448844}	{'accuracy': 0.8322147651006712}
0.2638	23.0	7705	0.5246	{'f1': 0.8878865979381444}	{'accuracy': 0.8331735378715245}
0.256	24.0	8040	0.4898	{'f1': 0.881859264041317}	{'accuracy': 0.8245445829338447}
0.256	25.0	8375	0.5608	{'f1': 0.87934301958307}	{'accuracy': 0.8168744007670182}
0.2501	26.0	8710	0.5682	{'f1': 0.8833967046894803}	{'accuracy': 0.8235858101629914}
0.2409	27.0	9045	0.5014	{'f1': 0.8786049631120054}	{'accuracy': 0.8264621284755513}
0.2409	28.0	9380	0.6560	{'f1': 0.8690254500310366}	{'accuracy': 0.7976989453499521}
0.2274	29.0	9715	0.5556	{'f1': 0.8865845755022683}	{'accuracy': 0.8322147651006712}
0.2234	30.0	10050	0.5468	{'f1': 0.8839285714285714}	{'accuracy': 0.825503355704698}
0.2234	31.0	10385	0.5590	{'f1': 0.8809368900455433}	{'accuracy': 0.8245445829338447}
0.2053	32.0	10720	0.6394	{'f1': 0.8862047043865225}	{'accuracy': 0.8283796740172579}
0.2051	33.0	11055	0.6475	{'f1': 0.8800505050505051}	{'accuracy': 0.8178331735378715}
0.2051	34.0	11390	0.5637	{'f1': 0.8817345597897503}	{'accuracy': 0.8274209012464045}
0.2003	35.0	11725	0.6592	{'f1': 0.8809675366008912}	{'accuracy': 0.8207094918504314}
0.1821	36.0	12060	0.6021	{'f1': 0.8776699029126214}	{'accuracy': 0.8187919463087249}
0.1821	37.0	12395	0.6652	{'f1': 0.8798988621997472}	{'accuracy': 0.8178331735378715}
0.1794	38.0	12730	0.6079	{'f1': 0.8836907082521118}	{'accuracy': 0.8283796740172579}
0.1695	39.0	13065	0.6287	{'f1': 0.884318766066838}	{'accuracy': 0.8274209012464045}
0.1695	40.0	13400	0.6532	{'f1': 0.8763897972531065}	{'accuracy': 0.8187919463087249}
0.1709	41.0	13735	0.6844	{'f1': 0.8783958602846055}	{'accuracy': 0.8197507190795782}
0.1664	42.0	14070	0.7902	{'f1': 0.8758664146187776}	{'accuracy': 0.8111217641418984}
0.1664	43.0	14405	0.7809	{'f1': 0.8750784682988072}	{'accuracy': 0.8092042186001918}
0.1658	44.0	14740	0.7418	{'f1': 0.8796414852752881}	{'accuracy': 0.8197507190795782}
0.1626	45.0	15075	0.7835	{'f1': 0.8780795957043588}	{'accuracy': 0.8149568552253116}
0.1626	46.0	15410	0.7832	{'f1': 0.8727272727272727}	{'accuracy': 0.8053691275167785}
0.1568	47.0	15745	0.8162	{'f1': 0.8786346396965866}	{'accuracy': 0.8159156279961649}
0.1435	48.0	16080	0.7792	{'f1': 0.8787301587301588}	{'accuracy': 0.8168744007670182}
0.1435	49.0	16415	0.7505	{'f1': 0.8819308545335943}	{'accuracy': 0.8264621284755513}
0.1422	50.0	16750	0.7400	{'f1': 0.8799480856586632}	{'accuracy': 0.822627037392138}
0.1449	51.0	17085	0.8237	{'f1': 0.876117496807152}	{'accuracy': 0.8139980824544583}
0.1449	52.0	17420	0.7569	{'f1': 0.8796844181459565}	{'accuracy': 0.8245445829338447}
0.1312	53.0	17755	0.7673	{'f1': 0.874251497005988}	{'accuracy': 0.8187919463087249}
0.1376	54.0	18090	1.0797	{'f1': 0.8718905472636816}	{'accuracy': 0.8024928092042186}
0.1376	55.0	18425	0.8770	{'f1': 0.8766233766233766}	{'accuracy': 0.8178331735378715}
0.1205	56.0	18760	0.8752	{'f1': 0.877642536835362}	{'accuracy': 0.8168744007670182}
0.1277	57.0	19095	0.9854	{'f1': 0.8763474952441344}	{'accuracy': 0.8130393096836049}
0.1277	58.0	19430	0.8095	{'f1': 0.8778576094056172}	{'accuracy': 0.8207094918504314}
0.1274	59.0	19765	0.8494	{'f1': 0.8825806451612904}	{'accuracy': 0.825503355704698}
0.1161	60.0	20100	0.8805	{'f1': 0.8752399232245682}	{'accuracy': 0.8130393096836049}
0.1161	61.0	20435	0.8964	{'f1': 0.87539531941809}	{'accuracy': 0.8111217641418984}
0.1181	62.0	20770	0.8991	{'f1': 0.8792207792207791}	{'accuracy': 0.8216682646212847}
0.1039	63.0	21105	0.8565	{'f1': 0.8776699029126214}	{'accuracy': 0.8187919463087249}
0.1039	64.0	21440	0.8743	{'f1': 0.8820512820512821}	{'accuracy': 0.8235858101629914}
0.0966	65.0	21775	0.9298	{'f1': 0.8802547770700637}	{'accuracy': 0.8197507190795782}
0.1063	66.0	22110	0.9383	{'f1': 0.8784565916398713}	{'accuracy': 0.8187919463087249}
0.1063	67.0	22445	0.9079	{'f1': 0.8772609819121446}	{'accuracy': 0.8178331735378715}
0.0979	68.0	22780	0.9178	{'f1': 0.8773523685918235}	{'accuracy': 0.8187919463087249}
0.1029	69.0	23115	0.8791	{'f1': 0.8752449379490528}	{'accuracy': 0.8168744007670182}
0.1029	70.0	23450	0.8901	{'f1': 0.8822381262199089}	{'accuracy': 0.8264621284755513}
0.1026	71.0	23785	1.1163	{'f1': 0.8715083798882682}	{'accuracy': 0.8015340364333653}
0.0932	72.0	24120	1.0499	{'f1': 0.8768161718256475}	{'accuracy': 0.8130393096836049}
0.0932	73.0	24455	0.9786	{'f1': 0.8854766474728086}	{'accuracy': 0.8283796740172579}
0.0958	74.0	24790	0.9004	{'f1': 0.8851828094932649}	{'accuracy': 0.8283796740172579}
0.0897	75.0	25125	0.9874	{'f1': 0.8834513844172568}	{'accuracy': 0.8264621284755513}
0.0897	76.0	25460	0.9677	{'f1': 0.8837209302325582}	{'accuracy': 0.8274209012464045}
0.0933	77.0	25795	0.9813	{'f1': 0.879177377892031}	{'accuracy': 0.8197507190795782}
0.0938	78.0	26130	1.0899	{'f1': 0.8772813089993707}	{'accuracy': 0.8130393096836049}
0.0938	79.0	26465	0.9780	{'f1': 0.8809831824062095}	{'accuracy': 0.8235858101629914}
0.0849	80.0	26800	1.0851	{'f1': 0.8781725888324874}	{'accuracy': 0.8159156279961649}
0.0829	81.0	27135	0.9472	{'f1': 0.8757396449704142}	{'accuracy': 0.8187919463087249}
0.0829	82.0	27470	1.0028	{'f1': 0.8785759694850604}	{'accuracy': 0.8168744007670182}
0.0864	83.0	27805	0.9873	{'f1': 0.8827674567584881}	{'accuracy': 0.8245445829338447}
0.0787	84.0	28140	0.8788	{'f1': 0.877454299255247}	{'accuracy': 0.8264621284755513}
0.0787	85.0	28475	1.2001	{'f1': 0.8715710723192021}	{'accuracy': 0.8024928092042186}
0.0835	86.0	28810	0.9610	{'f1': 0.8850129198966409}	{'accuracy': 0.8293384467881112}
0.0721	87.0	29145	1.0461	{'f1': 0.8811369509043928}	{'accuracy': 0.8235858101629914}
0.0721	88.0	29480	1.0201	{'f1': 0.8842921784098255}	{'accuracy': 0.8283796740172579}
0.0745	89.0	29815	1.0696	{'f1': 0.8803582853486884}	{'accuracy': 0.8207094918504314}
0.0748	90.0	30150	1.0277	{'f1': 0.8787483702737942}	{'accuracy': 0.8216682646212847}
0.0748	91.0	30485	1.2406	{'f1': 0.8743718592964824}	{'accuracy': 0.8082454458293384}
0.0671	92.0	30820	1.0602	{'f1': 0.8766066838046273}	{'accuracy': 0.8159156279961649}
0.0668	93.0	31155	1.0274	{'f1': 0.8751625487646294}	{'accuracy': 0.8159156279961649}
0.0668	94.0	31490	1.0361	{'f1': 0.8823911630929175}	{'accuracy': 0.8264621284755513}
0.069	95.0	31825	1.0801	{'f1': 0.8785166240409207}	{'accuracy': 0.8178331735378715}
0.0667	96.0	32160	1.0670	{'f1': 0.8834513844172568}	{'accuracy': 0.8264621284755513}
0.0667	97.0	32495	1.2035	{'f1': 0.8811630847029078}	{'accuracy': 0.8197507190795782}
0.0631	98.0	32830	1.0649	{'f1': 0.8853299167200512}	{'accuracy': 0.8283796740172579}
0.0749	99.0	33165	1.0805	{'f1': 0.8837508028259474}	{'accuracy': 0.8264621284755513}
0.0598	100.0	33500	1.1548	{'f1': 0.8844415752098128}	{'accuracy': 0.8283796740172579}
0.0598	101.0	33835	1.1832	{'f1': 0.8785166240409207}	{'accuracy': 0.8178331735378715}
0.0596	102.0	34170	1.1726	{'f1': 0.8778625954198473}	{'accuracy': 0.8159156279961649}
0.0612	103.0	34505	1.1259	{'f1': 0.8823151125401929}	{'accuracy': 0.8245445829338447}
0.0612	104.0	34840	1.0810	{'f1': 0.8857327307940606}	{'accuracy': 0.8302972195589645}
0.0672	105.0	35175	1.1677	{'f1': 0.8810741687979541}	{'accuracy': 0.8216682646212847}
0.0624	106.0	35510	1.1728	{'f1': 0.8794871794871796}	{'accuracy': 0.8197507190795782}
0.0624	107.0	35845	1.1968	{'f1': 0.8854766474728086}	{'accuracy': 0.8283796740172579}
0.0597	108.0	36180	1.1626	{'f1': 0.8841970569417786}	{'accuracy': 0.8264621284755513}
0.0627	109.0	36515	1.1067	{'f1': 0.8870129870129869}	{'accuracy': 0.8331735378715245}
0.0627	110.0	36850	1.1216	{'f1': 0.8854368932038835}	{'accuracy': 0.8302972195589645}
0.0497	111.0	37185	1.1710	{'f1': 0.8803088803088803}	{'accuracy': 0.8216682646212847}
0.0551	112.0	37520	1.1882	{'f1': 0.8802547770700637}	{'accuracy': 0.8197507190795782}
0.0551	113.0	37855	1.1644	{'f1': 0.8815533980582524}	{'accuracy': 0.8245445829338447}
0.0597	114.0	38190	1.0852	{'f1': 0.8863049095607234}	{'accuracy': 0.8312559923298178}
0.0444	115.0	38525	1.2478	{'f1': 0.8772151898734178}	{'accuracy': 0.8139980824544583}
0.0444	116.0	38860	1.1119	{'f1': 0.8817480719794344}	{'accuracy': 0.8235858101629914}
0.053	117.0	39195	1.2588	{'f1': 0.8709880427942103}	{'accuracy': 0.8034515819750719}
0.0519	118.0	39530	1.1433	{'f1': 0.8805681084570691}	{'accuracy': 0.822627037392138}
0.0519	119.0	39865	1.1480	{'f1': 0.8833010960670536}	{'accuracy': 0.8264621284755513}
0.0567	120.0	40200	1.2303	{'f1': 0.8850574712643677}	{'accuracy': 0.8274209012464045}
0.0478	121.0	40535	1.3070	{'f1': 0.8784213876511776}	{'accuracy': 0.8168744007670182}
0.0478	122.0	40870	1.2091	{'f1': 0.8850129198966409}	{'accuracy': 0.8293384467881112}
0.0454	123.0	41205	1.2617	{'f1': 0.8790786948176584}	{'accuracy': 0.8187919463087249}
0.052	124.0	41540	1.1830	{'f1': 0.8839922229423202}	{'accuracy': 0.8283796740172579}
0.052	125.0	41875	1.1763	{'f1': 0.8836907082521118}	{'accuracy': 0.8283796740172579}
0.0414	126.0	42210	1.0855	{'f1': 0.888888888888889}	{'accuracy': 0.8389261744966443}
0.0436	127.0	42545	1.0968	{'f1': 0.8835078534031414}	{'accuracy': 0.8293384467881112}
0.0436	128.0	42880	1.2527	{'f1': 0.8784565916398713}	{'accuracy': 0.8187919463087249}
0.0446	129.0	43215	1.1601	{'f1': 0.8798972382787411}	{'accuracy': 0.8207094918504314}
0.049	130.0	43550	1.1404	{'f1': 0.8865710560625816}	{'accuracy': 0.8331735378715245}
0.049	131.0	43885	1.1282	{'f1': 0.8817766165904638}	{'accuracy': 0.8264621284755513}
0.0423	132.0	44220	1.1854	{'f1': 0.8804627249357326}	{'accuracy': 0.8216682646212847}
0.0425	133.0	44555	1.1647	{'f1': 0.8792207792207791}	{'accuracy': 0.8216682646212847}
0.0425	134.0	44890	1.2484	{'f1': 0.8813341885824246}	{'accuracy': 0.822627037392138}
0.0461	135.0	45225	1.2505	{'f1': 0.8812903225806452}	{'accuracy': 0.8235858101629914}
0.0342	136.0	45560	1.1941	{'f1': 0.8825438027255029}	{'accuracy': 0.8264621284755513}
0.0342	137.0	45895	1.2203	{'f1': 0.8823151125401929}	{'accuracy': 0.8245445829338447}
0.0421	138.0	46230	1.1508	{'f1': 0.8780804150453955}	{'accuracy': 0.8197507190795782}
0.0415	139.0	46565	1.2784	{'f1': 0.8766946417043254}	{'accuracy': 0.8168744007670182}
0.0415	140.0	46900	1.2567	{'f1': 0.8815958815958816}	{'accuracy': 0.8235858101629914}
0.045	141.0	47235	1.1752	{'f1': 0.8795336787564768}	{'accuracy': 0.8216682646212847}
0.041	142.0	47570	1.3445	{'f1': 0.8794326241134752}	{'accuracy': 0.8207094918504314}
0.041	143.0	47905	1.2438	{'f1': 0.8804627249357326}	{'accuracy': 0.8216682646212847}
0.0464	144.0	48240	1.1829	{'f1': 0.8864229765013055}	{'accuracy': 0.8331735378715245}
0.0384	145.0	48575	1.2665	{'f1': 0.8837209302325582}	{'accuracy': 0.8274209012464045}
0.0384	146.0	48910	1.1613	{'f1': 0.8884488448844885}	{'accuracy': 0.837967401725791}
0.0356	147.0	49245	1.3262	{'f1': 0.8798972382787411}	{'accuracy': 0.8207094918504314}
0.037	148.0	49580	1.2797	{'f1': 0.8797427652733119}	{'accuracy': 0.8207094918504314}
0.037	149.0	49915	1.3262	{'f1': 0.8757170172084129}	{'accuracy': 0.8130393096836049}
0.0369	150.0	50250	1.2448	{'f1': 0.8822381262199089}	{'accuracy': 0.8264621284755513}
0.0365	151.0	50585	1.2979	{'f1': 0.8795336787564768}	{'accuracy': 0.8216682646212847}
0.0365	152.0	50920	1.2667	{'f1': 0.8812459441920829}	{'accuracy': 0.8245445829338447}
0.0308	153.0	51255	1.2065	{'f1': 0.8820039551746869}	{'accuracy': 0.8283796740172579}
0.0358	154.0	51590	1.0985	{'f1': 0.8846153846153847}	{'accuracy': 0.8331735378715245}
0.0358	155.0	51925	1.2635	{'f1': 0.8786502271252432}	{'accuracy': 0.8207094918504314}
0.0333	156.0	52260	1.4968	{'f1': 0.8725674827369743}	{'accuracy': 0.8053691275167785}
0.0473	157.0	52595	1.1381	{'f1': 0.8814669286182057}	{'accuracy': 0.8264621284755513}
0.0473	158.0	52930	1.4122	{'f1': 0.8755583918315252}	{'accuracy': 0.8130393096836049}
0.0294	159.0	53265	1.1408	{'f1': 0.8804702808621816}	{'accuracy': 0.8245445829338447}
0.0396	160.0	53600	1.2296	{'f1': 0.8849902534113061}	{'accuracy': 0.8302972195589645}
0.0396	161.0	53935	1.2326	{'f1': 0.8817065287653523}	{'accuracy': 0.8245445829338447}
0.0376	162.0	54270	1.2225	{'f1': 0.8793774319066148}	{'accuracy': 0.8216682646212847}
0.0384	163.0	54605	1.3583	{'f1': 0.8766603415559772}	{'accuracy': 0.8130393096836049}
0.0384	164.0	54940	1.2230	{'f1': 0.8830829523187459}	{'accuracy': 0.8283796740172579}
0.0344	165.0	55275	1.1266	{'f1': 0.8874259381171825}	{'accuracy': 0.8360498561840843}
0.0316	166.0	55610	1.1692	{'f1': 0.8835078534031414}	{'accuracy': 0.8293384467881112}
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0.0277	170.0	56950	1.4021	{'f1': 0.8757097791798107}	{'accuracy': 0.8111217641418984}
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0.0346	176.0	58960	1.3603	{'f1': 0.878017789072427}	{'accuracy': 0.8159156279961649}
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0.0273	180.0	60300	1.3779	{'f1': 0.8800513149454778}	{'accuracy': 0.8207094918504314}
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0.0284	182.0	60970	1.3557	{'f1': 0.8810289389067525}	{'accuracy': 0.822627037392138}
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0.027	185.0	61975	1.4146	{'f1': 0.8764478764478765}	{'accuracy': 0.8159156279961649}
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0.0226	188.0	62980	1.3690	{'f1': 0.877284595300261}	{'accuracy': 0.8197507190795782}
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0.0275	190.0	63650	1.3999	{'f1': 0.8808757244043787}	{'accuracy': 0.822627037392138}
0.0275	191.0	63985	1.3867	{'f1': 0.8758002560819463}	{'accuracy': 0.8139980824544583}
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0.0274	193.0	64655	1.4807	{'f1': 0.878017789072427}	{'accuracy': 0.8159156279961649}
0.0274	194.0	64990	1.2959	{'f1': 0.88296488946684}	{'accuracy': 0.8274209012464045}
0.0276	195.0	65325	1.3492	{'f1': 0.8841423948220065}	{'accuracy': 0.8283796740172579}
0.0238	196.0	65660	1.3131	{'f1': 0.8849902534113061}	{'accuracy': 0.8302972195589645}
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0.0337	199.0	66665	1.3533	{'f1': 0.879177377892031}	{'accuracy': 0.8197507190795782}
0.0204	200.0	67000	1.2521	{'f1': 0.8877216021011162}	{'accuracy': 0.8360498561840843}
0.0204	201.0	67335	1.3449	{'f1': 0.8873056994818653}	{'accuracy': 0.8331735378715245}
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0.0224	203.0	68005	1.3420	{'f1': 0.8841145833333333}	{'accuracy': 0.8293384467881112}
0.0224	204.0	68340	1.3636	{'f1': 0.8847150259067358}	{'accuracy': 0.8293384467881112}
0.0226	205.0	68675	1.3225	{'f1': 0.8871493803000652}	{'accuracy': 0.8341323106423778}
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0.0233	207.0	69345	1.4129	{'f1': 0.8854368932038835}	{'accuracy': 0.8302972195589645}
0.0205	208.0	69680	1.2687	{'f1': 0.8868660598179455}	{'accuracy': 0.8331735378715245}
0.023	209.0	70015	1.5126	{'f1': 0.8762626262626263}	{'accuracy': 0.8120805369127517}
0.023	210.0	70350	1.2341	{'f1': 0.886259040105194}	{'accuracy': 0.8341323106423778}
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0.0219	212.0	71020	1.3274	{'f1': 0.8848405985686402}	{'accuracy': 0.8302972195589645}
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0.0253	214.0	71690	1.2093	{'f1': 0.8887425938117183}	{'accuracy': 0.837967401725791}
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0.0231	216.0	72360	1.2282	{'f1': 0.8838709677419355}	{'accuracy': 0.8274209012464045}
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0.0192	218.0	73030	1.4157	{'f1': 0.8815533980582524}	{'accuracy': 0.8245445829338447}
0.0192	219.0	73365	1.3811	{'f1': 0.8845401174168297}	{'accuracy': 0.8302972195589645}
0.0259	220.0	73700	1.3085	{'f1': 0.8872870249017039}	{'accuracy': 0.835091083413231}
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0.0167	222.0	74370	1.2850	{'f1': 0.8858085808580859}	{'accuracy': 0.8341323106423778}
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0.0202	224.0	75040	1.1894	{'f1': 0.8812877263581489}	{'accuracy': 0.8302972195589645}
0.0202	225.0	75375	1.3179	{'f1': 0.8798972382787411}	{'accuracy': 0.8207094918504314}
0.0237	226.0	75710	1.3290	{'f1': 0.8823529411764706}	{'accuracy': 0.8235858101629914}
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0.021	228.0	76380	1.4027	{'f1': 0.8842921784098255}	{'accuracy': 0.8283796740172579}
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0.0226	249.0	83415	1.4010	{'f1': 0.8841145833333333}	{'accuracy': 0.8293384467881112}
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0.0148	255.0	85425	1.4304	{'f1': 0.8815104166666666}	{'accuracy': 0.825503355704698}
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0.0208	261.0	87435	1.3562	{'f1': 0.8837820091923834}	{'accuracy': 0.8302972195589645}
0.015	262.0	87770	1.4761	{'f1': 0.8794871794871796}	{'accuracy': 0.8197507190795782}
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0.0161	266.0	89110	1.4669	{'f1': 0.8784925276153347}	{'accuracy': 0.8207094918504314}
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0.0125	275.0	92125	1.5472	{'f1': 0.8814862267777066}	{'accuracy': 0.822627037392138}
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0.019	286.0	95810	1.4650	{'f1': 0.8772378516624041}	{'accuracy': 0.8159156279961649}
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0.012	290.0	97150	1.4717	{'f1': 0.8854166666666666}	{'accuracy': 0.8312559923298178}
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0.01	292.0	97820	1.6090	{'f1': 0.8755583918315252}	{'accuracy': 0.8130393096836049}
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0.0136	320.0	107200	1.3627	{'f1': 0.8858447488584474}	{'accuracy': 0.8322147651006712}
0.0161	321.0	107535	1.3967	{'f1': 0.881399870382372}	{'accuracy': 0.8245445829338447}
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0.0121	323.0	108205	1.3805	{'f1': 0.8831168831168831}	{'accuracy': 0.8274209012464045}
0.0085	324.0	108540	1.4762	{'f1': 0.8831168831168831}	{'accuracy': 0.8274209012464045}
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0.0111	326.0	109210	1.4110	{'f1': 0.8810916179337233}	{'accuracy': 0.8245445829338447}
0.009	327.0	109545	1.4012	{'f1': 0.8872870249017039}	{'accuracy': 0.835091083413231}
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0.0114	329.0	110215	1.4617	{'f1': 0.8825065274151437}	{'accuracy': 0.8274209012464045}
0.0115	330.0	110550	1.7397	{'f1': 0.8748435544430538}	{'accuracy': 0.8082454458293384}
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0.0118	335.0	112225	1.5259	{'f1': 0.8744479495268138}	{'accuracy': 0.8092042186001918}
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0.0122	338.0	113230	1.2246	{'f1': 0.888888888888889}	{'accuracy': 0.8398849472674976}
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0.0145	340.0	113900	1.3524	{'f1': 0.8826597131681878}	{'accuracy': 0.8274209012464045}
0.0116	341.0	114235	1.5009	{'f1': 0.8783000643915004}	{'accuracy': 0.8187919463087249}
0.0157	342.0	114570	1.3951	{'f1': 0.8808757244043787}	{'accuracy': 0.822627037392138}
0.0157	343.0	114905	1.3430	{'f1': 0.8872870249017039}	{'accuracy': 0.835091083413231}
0.0066	344.0	115240	1.3878	{'f1': 0.8845401174168297}	{'accuracy': 0.8302972195589645}
0.0125	345.0	115575	1.4196	{'f1': 0.8849902534113061}	{'accuracy': 0.8302972195589645}
0.0125	346.0	115910	1.5421	{'f1': 0.8841698841698842}	{'accuracy': 0.8274209012464045}
0.0047	347.0	116245	1.3159	{'f1': 0.8905206942590119}	{'accuracy': 0.8427612655800575}
0.0115	348.0	116580	1.4889	{'f1': 0.88296488946684}	{'accuracy': 0.8274209012464045}
0.0115	349.0	116915	1.4914	{'f1': 0.8841423948220065}	{'accuracy': 0.8283796740172579}
0.0094	350.0	117250	1.4304	{'f1': 0.8804137039431158}	{'accuracy': 0.822627037392138}
0.0135	351.0	117585	1.5763	{'f1': 0.8782664117272148}	{'accuracy': 0.8168744007670182}
0.0135	352.0	117920	1.4326	{'f1': 0.8831835686777921}	{'accuracy': 0.825503355704698}
0.0159	353.0	118255	1.5209	{'f1': 0.8804071246819339}	{'accuracy': 0.8197507190795782}
0.0121	354.0	118590	1.4481	{'f1': 0.8821243523316061}	{'accuracy': 0.825503355704698}
0.0121	355.0	118925	1.3729	{'f1': 0.8883013879709186}	{'accuracy': 0.837967401725791}
0.0076	356.0	119260	1.4068	{'f1': 0.8851174934725848}	{'accuracy': 0.8312559923298178}
0.011	357.0	119595	1.5804	{'f1': 0.884318766066838}	{'accuracy': 0.8274209012464045}
0.011	358.0	119930	1.4468	{'f1': 0.8861418347430059}	{'accuracy': 0.8322147651006712}
0.0104	359.0	120265	1.5484	{'f1': 0.8794871794871796}	{'accuracy': 0.8197507190795782}
0.0098	360.0	120600	1.5450	{'f1': 0.8806161745827985}	{'accuracy': 0.8216682646212847}
0.0098	361.0	120935	1.4119	{'f1': 0.8855461085676913}	{'accuracy': 0.8322147651006712}
0.01	362.0	121270	1.5413	{'f1': 0.8811817597944765}	{'accuracy': 0.822627037392138}
0.0057	363.0	121605	1.4996	{'f1': 0.8835078534031414}	{'accuracy': 0.8293384467881112}
0.0057	364.0	121940	1.5304	{'f1': 0.8804137039431158}	{'accuracy': 0.822627037392138}
0.0083	365.0	122275	1.4527	{'f1': 0.8842652795838754}	{'accuracy': 0.8293384467881112}
0.0128	366.0	122610	1.3604	{'f1': 0.8884488448844885}	{'accuracy': 0.837967401725791}
0.0128	367.0	122945	1.4389	{'f1': 0.8837209302325582}	{'accuracy': 0.8274209012464045}
0.0108	368.0	123280	1.5141	{'f1': 0.8828828828828829}	{'accuracy': 0.825503355704698}
0.0137	369.0	123615	1.3898	{'f1': 0.8823911630929175}	{'accuracy': 0.8264621284755513}
0.0137	370.0	123950	1.3869	{'f1': 0.8839634941329856}	{'accuracy': 0.8293384467881112}
0.0075	371.0	124285	1.3627	{'f1': 0.8856767411300921}	{'accuracy': 0.8331735378715245}
0.0075	372.0	124620	1.4736	{'f1': 0.8809368900455433}	{'accuracy': 0.8245445829338447}
0.0075	373.0	124955	1.4527	{'f1': 0.8838120104438641}	{'accuracy': 0.8293384467881112}
0.0085	374.0	125290	1.5817	{'f1': 0.8835705045278138}	{'accuracy': 0.8274209012464045}
0.0079	375.0	125625	1.6168	{'f1': 0.8815958815958816}	{'accuracy': 0.8235858101629914}
0.0079	376.0	125960	1.5068	{'f1': 0.8819714656290532}	{'accuracy': 0.825503355704698}
0.0083	377.0	126295	1.5055	{'f1': 0.8832684824902725}	{'accuracy': 0.8274209012464045}
0.0115	378.0	126630	1.5258	{'f1': 0.8828828828828829}	{'accuracy': 0.825503355704698}
0.0115	379.0	126965	1.6030	{'f1': 0.8752399232245682}	{'accuracy': 0.8130393096836049}
0.007	380.0	127300	1.5607	{'f1': 0.8759590792838876}	{'accuracy': 0.8139980824544583}
0.0115	381.0	127635	1.4875	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0115	382.0	127970	1.4510	{'f1': 0.8798449612403101}	{'accuracy': 0.8216682646212847}
0.0086	383.0	128305	1.3703	{'f1': 0.8815789473684211}	{'accuracy': 0.8274209012464045}
0.0071	384.0	128640	1.4905	{'f1': 0.8827319587628866}	{'accuracy': 0.825503355704698}
0.0071	385.0	128975	1.5289	{'f1': 0.8811817597944765}	{'accuracy': 0.822627037392138}
0.0066	386.0	129310	1.5711	{'f1': 0.8780487804878049}	{'accuracy': 0.8178331735378715}
0.0105	387.0	129645	1.6893	{'f1': 0.8701134930643127}	{'accuracy': 0.8024928092042186}
0.0105	388.0	129980	1.5360	{'f1': 0.8800000000000001}	{'accuracy': 0.8216682646212847}
0.0121	389.0	130315	1.4854	{'f1': 0.8792769528728211}	{'accuracy': 0.8207094918504314}
0.0095	390.0	130650	1.4741	{'f1': 0.881664499349805}	{'accuracy': 0.825503355704698}
0.0095	391.0	130985	1.5628	{'f1': 0.8763613068545804}	{'accuracy': 0.8149568552253116}
0.009	392.0	131320	1.5560	{'f1': 0.8811817597944765}	{'accuracy': 0.822627037392138}
0.0079	393.0	131655	1.4950	{'f1': 0.8825065274151437}	{'accuracy': 0.8274209012464045}
0.0079	394.0	131990	1.5270	{'f1': 0.8784925276153347}	{'accuracy': 0.8207094918504314}
0.0077	395.0	132325	1.5941	{'f1': 0.8751608751608753}	{'accuracy': 0.8139980824544583}
0.0097	396.0	132660	1.4690	{'f1': 0.8795811518324608}	{'accuracy': 0.8235858101629914}
0.0097	397.0	132995	1.4459	{'f1': 0.8812664907651715}	{'accuracy': 0.8274209012464045}
0.0051	398.0	133330	1.4213	{'f1': 0.8822751322751322}	{'accuracy': 0.8293384467881112}
0.0079	399.0	133665	1.4610	{'f1': 0.8840291583830351}	{'accuracy': 0.8322147651006712}
0.0066	400.0	134000	1.5880	{'f1': 0.8771704180064309}	{'accuracy': 0.8168744007670182}
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0.0139	402.0	134670	1.5978	{'f1': 0.8766946417043254}	{'accuracy': 0.8168744007670182}
0.0078	403.0	135005	1.4467	{'f1': 0.8831683168316831}	{'accuracy': 0.8302972195589645}
0.0078	404.0	135340	1.4775	{'f1': 0.8838752488387525}	{'accuracy': 0.8322147651006712}
0.0069	405.0	135675	1.6677	{'f1': 0.8795878943979395}	{'accuracy': 0.8207094918504314}
0.0074	406.0	136010	1.6645	{'f1': 0.8765352294764059}	{'accuracy': 0.8168744007670182}
0.0074	407.0	136345	1.7429	{'f1': 0.8766946417043254}	{'accuracy': 0.8168744007670182}
0.0103	408.0	136680	1.5847	{'f1': 0.8773523685918235}	{'accuracy': 0.8187919463087249}
0.0102	409.0	137015	1.5852	{'f1': 0.8768536428110896}	{'accuracy': 0.8168744007670182}
0.0102	410.0	137350	1.6428	{'f1': 0.8786127167630058}	{'accuracy': 0.8187919463087249}
0.0061	411.0	137685	1.4875	{'f1': 0.8840579710144927}	{'accuracy': 0.8312559923298178}
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0.0104	413.0	138355	1.6076	{'f1': 0.8770122343850613}	{'accuracy': 0.8168744007670182}
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0.0093	415.0	139025	1.4091	{'f1': 0.8880053015241882}	{'accuracy': 0.837967401725791}
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0.0084	423.0	141705	1.4753	{'f1': 0.8830829523187459}	{'accuracy': 0.8283796740172579}
0.01	424.0	142040	1.4568	{'f1': 0.8851395197923426}	{'accuracy': 0.8302972195589645}
0.01	425.0	142375	1.4286	{'f1': 0.8830829523187459}	{'accuracy': 0.8283796740172579}
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0.0111	438.0	146730	1.5255	{'f1': 0.8797920727745288}	{'accuracy': 0.822627037392138}
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0.009	462.0	154770	1.7132	{'f1': 0.8779253636938646}	{'accuracy': 0.8149568552253116}
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0.0077	468.0	156780	1.4375	{'f1': 0.8793671720500988}	{'accuracy': 0.8245445829338447}
0.0057	469.0	157115	1.6179	{'f1': 0.8784565916398713}	{'accuracy': 0.8187919463087249}
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0.0054	471.0	157785	1.6304	{'f1': 0.8796356538711776}	{'accuracy': 0.822627037392138}
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0.0064	474.0	158790	1.5291	{'f1': 0.8803641092327698}	{'accuracy': 0.8235858101629914}
0.0091	475.0	159125	1.5703	{'f1': 0.8784925276153347}	{'accuracy': 0.8207094918504314}
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0.0039	477.0	159795	1.5989	{'f1': 0.8803641092327698}	{'accuracy': 0.8235858101629914}
0.0112	478.0	160130	1.5197	{'f1': 0.8809831824062095}	{'accuracy': 0.8235858101629914}
0.0112	479.0	160465	1.4421	{'f1': 0.8843892880470282}	{'accuracy': 0.8302972195589645}
0.0092	480.0	160800	1.4686	{'f1': 0.8852459016393444}	{'accuracy': 0.8322147651006712}
0.0088	481.0	161135	1.4668	{'f1': 0.8845401174168297}	{'accuracy': 0.8302972195589645}
0.0088	482.0	161470	1.4334	{'f1': 0.8832020997375328}	{'accuracy': 0.8293384467881112}
0.0096	483.0	161805	1.5198	{'f1': 0.8786502271252432}	{'accuracy': 0.8207094918504314}
0.0047	484.0	162140	1.4443	{'f1': 0.8850726552179656}	{'accuracy': 0.8331735378715245}
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0.0069	486.0	162810	1.4660	{'f1': 0.8791639451338994}	{'accuracy': 0.822627037392138}
0.0067	487.0	163145	1.5695	{'f1': 0.8842921784098255}	{'accuracy': 0.8283796740172579}
0.0067	488.0	163480	1.5924	{'f1': 0.8825806451612904}	{'accuracy': 0.825503355704698}
0.0055	489.0	163815	1.5764	{'f1': 0.8822768434670116}	{'accuracy': 0.825503355704698}
0.009	490.0	164150	1.5042	{'f1': 0.881311475409836}	{'accuracy': 0.8264621284755513}
0.009	491.0	164485	1.4637	{'f1': 0.8821593153390389}	{'accuracy': 0.8283796740172579}
0.0086	492.0	164820	1.5421	{'f1': 0.8810916179337233}	{'accuracy': 0.8245445829338447}
0.0066	493.0	165155	1.4550	{'f1': 0.8821192052980134}	{'accuracy': 0.8293384467881112}
0.0066	494.0	165490	1.5674	{'f1': 0.875902823374918}	{'accuracy': 0.8187919463087249}
0.0049	495.0	165825	1.6806	{'f1': 0.8776699029126214}	{'accuracy': 0.8187919463087249}
0.0029	496.0	166160	1.7344	{'f1': 0.8764478764478765}	{'accuracy': 0.8159156279961649}
0.0029	497.0	166495	1.6178	{'f1': 0.8807339449541284}	{'accuracy': 0.825503355704698}
0.0064	498.0	166830	1.7900	{'f1': 0.8757921419518377}	{'accuracy': 0.8120805369127517}
0.008	499.0	167165	1.7277	{'f1': 0.8774855676715844}	{'accuracy': 0.8168744007670182}
0.0059	500.0	167500	1.6116	{'f1': 0.8785900783289817}	{'accuracy': 0.8216682646212847}
0.0059	501.0	167835	1.6649	{'f1': 0.8775773195876289}	{'accuracy': 0.8178331735378715}
0.0075	502.0	168170	1.5932	{'f1': 0.8761408083441983}	{'accuracy': 0.8178331735378715}
0.0086	503.0	168505	1.5948	{'f1': 0.8817766165904638}	{'accuracy': 0.8264621284755513}
0.0086	504.0	168840	1.5424	{'f1': 0.876984126984127}	{'accuracy': 0.8216682646212847}
0.0063	505.0	169175	1.5306	{'f1': 0.8818897637795275}	{'accuracy': 0.8274209012464045}
0.0088	506.0	169510	1.5694	{'f1': 0.881399870382372}	{'accuracy': 0.8245445829338447}
0.0088	507.0	169845	1.5427	{'f1': 0.8835078534031414}	{'accuracy': 0.8293384467881112}
0.0035	508.0	170180	1.6553	{'f1': 0.8796895213454075}	{'accuracy': 0.8216682646212847}
0.007	509.0	170515	1.5628	{'f1': 0.8791064388961892}	{'accuracy': 0.8235858101629914}
0.007	510.0	170850	1.5664	{'f1': 0.8793215916503588}	{'accuracy': 0.822627037392138}
0.0038	511.0	171185	1.5796	{'f1': 0.8790637191157347}	{'accuracy': 0.8216682646212847}
0.006	512.0	171520	1.5388	{'f1': 0.8765676567656766}	{'accuracy': 0.8207094918504314}
0.006	513.0	171855	1.6644	{'f1': 0.8790218790218791}	{'accuracy': 0.8197507190795782}
0.0122	514.0	172190	1.5761	{'f1': 0.8753280839895013}	{'accuracy': 0.8178331735378715}
0.0076	515.0	172525	1.6813	{'f1': 0.8817480719794344}	{'accuracy': 0.8235858101629914}
0.0076	516.0	172860	1.5030	{'f1': 0.8858085808580859}	{'accuracy': 0.8341323106423778}
0.0059	517.0	173195	1.6525	{'f1': 0.8787096774193548}	{'accuracy': 0.8197507190795782}
0.0071	518.0	173530	1.6402	{'f1': 0.8810916179337233}	{'accuracy': 0.8245445829338447}
0.0071	519.0	173865	1.5771	{'f1': 0.8836601307189542}	{'accuracy': 0.8293384467881112}
0.0085	520.0	174200	1.6690	{'f1': 0.8818181818181818}	{'accuracy': 0.825503355704698}
0.0083	521.0	174535	1.5547	{'f1': 0.885396201702685}	{'accuracy': 0.8322147651006712}
0.0083	522.0	174870	1.4857	{'f1': 0.8789473684210526}	{'accuracy': 0.8235858101629914}
0.0124	523.0	175205	1.4382	{'f1': 0.8816219751471549}	{'accuracy': 0.8264621284755513}
0.0076	524.0	175540	1.6573	{'f1': 0.8775510204081634}	{'accuracy': 0.8159156279961649}
0.0076	525.0	175875	1.5538	{'f1': 0.8786502271252432}	{'accuracy': 0.8207094918504314}
0.0071	526.0	176210	1.6442	{'f1': 0.876117496807152}	{'accuracy': 0.8139980824544583}
0.0067	527.0	176545	1.6500	{'f1': 0.880722114764668}	{'accuracy': 0.822627037392138}
0.0067	528.0	176880	1.4884	{'f1': 0.8823142669296515}	{'accuracy': 0.8283796740172579}
0.007	529.0	177215	1.4984	{'f1': 0.8823142669296515}	{'accuracy': 0.8283796740172579}
0.0062	530.0	177550	1.6704	{'f1': 0.8794326241134752}	{'accuracy': 0.8207094918504314}
0.0062	531.0	177885	1.6022	{'f1': 0.8764629388816645}	{'accuracy': 0.8178331735378715}
0.0053	532.0	178220	1.5841	{'f1': 0.8788075178224238}	{'accuracy': 0.8207094918504314}
0.0071	533.0	178555	1.5986	{'f1': 0.8795336787564768}	{'accuracy': 0.8216682646212847}
0.0071	534.0	178890	1.5788	{'f1': 0.8770331815224464}	{'accuracy': 0.8187919463087249}
0.0082	535.0	179225	1.5415	{'f1': 0.8794233289646134}	{'accuracy': 0.8235858101629914}
0.0067	536.0	179560	1.6323	{'f1': 0.8800000000000001}	{'accuracy': 0.8216682646212847}
0.0067	537.0	179895	1.5763	{'f1': 0.87890625}	{'accuracy': 0.8216682646212847}
0.007	538.0	180230	1.6408	{'f1': 0.8778280542986426}	{'accuracy': 0.8187919463087249}
0.0062	539.0	180565	1.5163	{'f1': 0.8841826604897418}	{'accuracy': 0.8322147651006712}
0.0062	540.0	180900	1.5985	{'f1': 0.8783958602846055}	{'accuracy': 0.8197507190795782}
0.0069	541.0	181235	1.5664	{'f1': 0.8802588996763754}	{'accuracy': 0.822627037392138}
0.0049	542.0	181570	1.7383	{'f1': 0.875875238701464}	{'accuracy': 0.8130393096836049}
0.0049	543.0	181905	1.5475	{'f1': 0.8806262230919765}	{'accuracy': 0.8245445829338447}
0.0051	544.0	182240	1.6891	{'f1': 0.8818998716302953}	{'accuracy': 0.8235858101629914}
0.0041	545.0	182575	1.5626	{'f1': 0.8826597131681878}	{'accuracy': 0.8274209012464045}
0.0041	546.0	182910	1.6650	{'f1': 0.8801546391752577}	{'accuracy': 0.8216682646212847}
0.0046	547.0	183245	1.6727	{'f1': 0.880722114764668}	{'accuracy': 0.822627037392138}
0.0067	548.0	183580	1.5603	{'f1': 0.8784313725490197}	{'accuracy': 0.8216682646212847}
0.0067	549.0	183915	1.6787	{'f1': 0.881859264041317}	{'accuracy': 0.8245445829338447}
0.0035	550.0	184250	1.5408	{'f1': 0.8822381262199089}	{'accuracy': 0.8264621284755513}
0.0097	551.0	184585	1.5098	{'f1': 0.8809368900455433}	{'accuracy': 0.8245445829338447}
0.0097	552.0	184920	1.5416	{'f1': 0.8806262230919765}	{'accuracy': 0.8245445829338447}
0.0064	553.0	185255	1.7427	{'f1': 0.8736507936507937}	{'accuracy': 0.8092042186001918}
0.0083	554.0	185590	1.4818	{'f1': 0.8797385620915033}	{'accuracy': 0.8235858101629914}
0.0083	555.0	185925	1.5257	{'f1': 0.8821243523316061}	{'accuracy': 0.825503355704698}
0.0067	556.0	186260	1.4460	{'f1': 0.8837820091923834}	{'accuracy': 0.8302972195589645}
0.0083	557.0	186595	1.5127	{'f1': 0.8786885245901639}	{'accuracy': 0.822627037392138}
0.0083	558.0	186930	1.6163	{'f1': 0.8802588996763754}	{'accuracy': 0.822627037392138}
0.0047	559.0	187265	1.5008	{'f1': 0.8865435356200528}	{'accuracy': 0.835091083413231}
0.0053	560.0	187600	1.5135	{'f1': 0.8858085808580859}	{'accuracy': 0.8341323106423778}
0.0053	561.0	187935	1.5165	{'f1': 0.8821989528795812}	{'accuracy': 0.8274209012464045}
0.0087	562.0	188270	1.5569	{'f1': 0.8821243523316061}	{'accuracy': 0.825503355704698}
0.007	563.0	188605	1.4532	{'f1': 0.8821593153390389}	{'accuracy': 0.8283796740172579}
0.007	564.0	188940	1.4890	{'f1': 0.8850726552179656}	{'accuracy': 0.8331735378715245}
0.004	565.0	189275	1.5723	{'f1': 0.8861418347430059}	{'accuracy': 0.8322147651006712}
0.0075	566.0	189610	1.5125	{'f1': 0.8858267716535433}	{'accuracy': 0.8331735378715245}
0.0075	567.0	189945	1.6625	{'f1': 0.8802049967969251}	{'accuracy': 0.8207094918504314}
0.0049	568.0	190280	1.5940	{'f1': 0.883419689119171}	{'accuracy': 0.8274209012464045}
0.006	569.0	190615	1.6085	{'f1': 0.8822768434670116}	{'accuracy': 0.825503355704698}
0.006	570.0	190950	1.4933	{'f1': 0.8833551769331585}	{'accuracy': 0.8293384467881112}
0.0047	571.0	191285	1.5427	{'f1': 0.8878688524590164}	{'accuracy': 0.8360498561840843}
0.0066	572.0	191620	1.6111	{'f1': 0.8827319587628866}	{'accuracy': 0.825503355704698}
0.0066	573.0	191955	1.4664	{'f1': 0.8866930171277998}	{'accuracy': 0.835091083413231}
0.0069	574.0	192290	1.5405	{'f1': 0.8842652795838754}	{'accuracy': 0.8293384467881112}
0.0085	575.0	192625	1.5603	{'f1': 0.881201044386423}	{'accuracy': 0.825503355704698}
0.0085	576.0	192960	1.6009	{'f1': 0.8825438027255029}	{'accuracy': 0.8264621284755513}
0.0044	577.0	193295	1.5765	{'f1': 0.8825065274151437}	{'accuracy': 0.8274209012464045}
0.006	578.0	193630	1.6543	{'f1': 0.8817065287653523}	{'accuracy': 0.8245445829338447}
0.006	579.0	193965	1.6021	{'f1': 0.8802588996763754}	{'accuracy': 0.822627037392138}
0.0066	580.0	194300	1.6881	{'f1': 0.8773946360153257}	{'accuracy': 0.8159156279961649}
0.0076	581.0	194635	1.4859	{'f1': 0.886829913964262}	{'accuracy': 0.8360498561840843}
0.0076	582.0	194970	1.4807	{'f1': 0.8836291913214991}	{'accuracy': 0.8302972195589645}
0.0081	583.0	195305	1.5842	{'f1': 0.8794326241134752}	{'accuracy': 0.8207094918504314}
0.0088	584.0	195640	1.5026	{'f1': 0.8851174934725848}	{'accuracy': 0.8312559923298178}
0.0088	585.0	195975	1.5329	{'f1': 0.8872964169381107}	{'accuracy': 0.8341323106423778}
0.0022	586.0	196310	1.7231	{'f1': 0.8787301587301588}	{'accuracy': 0.8168744007670182}
0.0097	587.0	196645	1.5368	{'f1': 0.8837209302325582}	{'accuracy': 0.8274209012464045}
0.0097	588.0	196980	1.6242	{'f1': 0.8833010960670536}	{'accuracy': 0.8264621284755513}
0.0028	589.0	197315	1.5300	{'f1': 0.8875816993464052}	{'accuracy': 0.835091083413231}
0.0033	590.0	197650	1.6450	{'f1': 0.8793324775353017}	{'accuracy': 0.8197507190795782}
0.0033	591.0	197985	1.5715	{'f1': 0.8793324775353017}	{'accuracy': 0.8197507190795782}
0.0089	592.0	198320	1.5802	{'f1': 0.8809368900455433}	{'accuracy': 0.8245445829338447}
0.0024	593.0	198655	1.5816	{'f1': 0.8771929824561404}	{'accuracy': 0.8187919463087249}
0.0024	594.0	198990	1.5100	{'f1': 0.8836291913214991}	{'accuracy': 0.8302972195589645}
0.0066	595.0	199325	1.5332	{'f1': 0.8897637795275591}	{'accuracy': 0.8389261744966443}
0.0025	596.0	199660	1.5607	{'f1': 0.8856767411300921}	{'accuracy': 0.8331735378715245}
0.0025	597.0	199995	1.6592	{'f1': 0.8820116054158607}	{'accuracy': 0.8245445829338447}
0.0054	598.0	200330	1.4389	{'f1': 0.8843626806833115}	{'accuracy': 0.8312559923298178}
0.0085	599.0	200665	1.5571	{'f1': 0.8821243523316061}	{'accuracy': 0.825503355704698}
0.0056	600.0	201000	1.5473	{'f1': 0.88671875}	{'accuracy': 0.8331735378715245}
0.0056	601.0	201335	1.5260	{'f1': 0.8840579710144927}	{'accuracy': 0.8312559923298178}
0.0028	602.0	201670	1.6108	{'f1': 0.8852672750977836}	{'accuracy': 0.8312559923298178}
0.0043	603.0	202005	1.6212	{'f1': 0.8830829523187459}	{'accuracy': 0.8283796740172579}
0.0043	604.0	202340	1.5834	{'f1': 0.8829300196206671}	{'accuracy': 0.8283796740172579}
0.0061	605.0	202675	1.6756	{'f1': 0.8818181818181818}	{'accuracy': 0.825503355704698}
0.003	606.0	203010	1.7325	{'f1': 0.8796895213454075}	{'accuracy': 0.8216682646212847}
0.003	607.0	203345	1.5822	{'f1': 0.8846153846153847}	{'accuracy': 0.8331735378715245}
0.0041	608.0	203680	1.5585	{'f1': 0.8856382978723404}	{'accuracy': 0.835091083413231}
0.0047	609.0	204015	1.7206	{'f1': 0.8809831824062095}	{'accuracy': 0.8235858101629914}
0.0047	610.0	204350	1.6442	{'f1': 0.8809368900455433}	{'accuracy': 0.8245445829338447}
0.0041	611.0	204685	1.6960	{'f1': 0.88296488946684}	{'accuracy': 0.8274209012464045}
0.0052	612.0	205020	1.6414	{'f1': 0.8836291913214991}	{'accuracy': 0.8302972195589645}
0.0052	613.0	205355	1.5995	{'f1': 0.8820445609436436}	{'accuracy': 0.8274209012464045}
0.0079	614.0	205690	1.5441	{'f1': 0.8846657929226737}	{'accuracy': 0.8312559923298178}
0.0067	615.0	206025	1.5942	{'f1': 0.8852672750977836}	{'accuracy': 0.8312559923298178}
0.0067	616.0	206360	1.7989	{'f1': 0.8775510204081634}	{'accuracy': 0.8159156279961649}
0.0037	617.0	206695	1.5977	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0084	618.0	207030	1.5557	{'f1': 0.8829993535875889}	{'accuracy': 0.8264621284755513}
0.0084	619.0	207365	1.4929	{'f1': 0.8815789473684211}	{'accuracy': 0.8274209012464045}
0.0079	620.0	207700	1.6609	{'f1': 0.8778920308483289}	{'accuracy': 0.8178331735378715}
0.006	621.0	208035	1.6334	{'f1': 0.880103694102398}	{'accuracy': 0.822627037392138}
0.006	622.0	208370	1.5635	{'f1': 0.8832354859752121}	{'accuracy': 0.8283796740172579}
0.0053	623.0	208705	1.5781	{'f1': 0.8842380640941793}	{'accuracy': 0.8302972195589645}
0.004	624.0	209040	1.6173	{'f1': 0.8819308545335943}	{'accuracy': 0.8264621284755513}
0.004	625.0	209375	1.4919	{'f1': 0.8837209302325582}	{'accuracy': 0.8322147651006712}
0.0044	626.0	209710	1.6378	{'f1': 0.8780804150453955}	{'accuracy': 0.8197507190795782}
0.0051	627.0	210045	1.5833	{'f1': 0.8797385620915033}	{'accuracy': 0.8235858101629914}
0.0051	628.0	210380	1.5721	{'f1': 0.8818897637795275}	{'accuracy': 0.8274209012464045}
0.0031	629.0	210715	1.6291	{'f1': 0.8784925276153347}	{'accuracy': 0.8207094918504314}
0.0047	630.0	211050	1.6298	{'f1': 0.8760545100584036}	{'accuracy': 0.8168744007670182}
0.0047	631.0	211385	1.7736	{'f1': 0.8745198463508322}	{'accuracy': 0.8120805369127517}
0.003	632.0	211720	1.5395	{'f1': 0.877284595300261}	{'accuracy': 0.8197507190795782}
0.0076	633.0	212055	1.6973	{'f1': 0.876765083440308}	{'accuracy': 0.8159156279961649}
0.0076	634.0	212390	1.7115	{'f1': 0.8766773162939298}	{'accuracy': 0.8149568552253116}
0.0056	635.0	212725	1.5547	{'f1': 0.8761408083441983}	{'accuracy': 0.8178331735378715}
0.0053	636.0	213060	1.6427	{'f1': 0.874025974025974}	{'accuracy': 0.8139980824544583}
0.0053	637.0	213395	1.5879	{'f1': 0.8758169934640523}	{'accuracy': 0.8178331735378715}
0.0057	638.0	213730	1.6224	{'f1': 0.877124183006536}	{'accuracy': 0.8197507190795782}
0.0034	639.0	214065	1.6183	{'f1': 0.8822381262199089}	{'accuracy': 0.8264621284755513}
0.0034	640.0	214400	1.5877	{'f1': 0.8855263157894737}	{'accuracy': 0.8331735378715245}
0.0089	641.0	214735	1.6350	{'f1': 0.8784565916398713}	{'accuracy': 0.8187919463087249}
0.0038	642.0	215070	1.6359	{'f1': 0.8805194805194805}	{'accuracy': 0.8235858101629914}
0.0038	643.0	215405	1.6574	{'f1': 0.8774193548387096}	{'accuracy': 0.8178331735378715}
0.008	644.0	215740	1.4812	{'f1': 0.885396201702685}	{'accuracy': 0.8322147651006712}
0.0077	645.0	216075	1.4037	{'f1': 0.8903566710700133}	{'accuracy': 0.840843720038351}
0.0077	646.0	216410	1.4159	{'f1': 0.8861092824226466}	{'accuracy': 0.8341323106423778}
0.0034	647.0	216745	1.4374	{'f1': 0.8847682119205298}	{'accuracy': 0.8331735378715245}
0.0051	648.0	217080	1.4659	{'f1': 0.8880105401844532}	{'accuracy': 0.8370086289549377}
0.0051	649.0	217415	1.5300	{'f1': 0.8836601307189542}	{'accuracy': 0.8293384467881112}
0.0041	650.0	217750	1.4884	{'f1': 0.8855263157894737}	{'accuracy': 0.8331735378715245}
0.0048	651.0	218085	1.5347	{'f1': 0.8851174934725848}	{'accuracy': 0.8312559923298178}
0.0048	652.0	218420	1.5155	{'f1': 0.8861256544502618}	{'accuracy': 0.8331735378715245}
0.0051	653.0	218755	1.5072	{'f1': 0.8852459016393444}	{'accuracy': 0.8322147651006712}
0.0066	654.0	219090	1.5471	{'f1': 0.8841423948220065}	{'accuracy': 0.8283796740172579}
0.0066	655.0	219425	1.6866	{'f1': 0.8786127167630058}	{'accuracy': 0.8187919463087249}
0.0028	656.0	219760	1.5781	{'f1': 0.8847435043304464}	{'accuracy': 0.8341323106423778}
0.0051	657.0	220095	1.6018	{'f1': 0.8841423948220065}	{'accuracy': 0.8283796740172579}
0.0051	658.0	220430	1.6007	{'f1': 0.8848167539267016}	{'accuracy': 0.8312559923298178}
0.0034	659.0	220765	1.6493	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0035	660.0	221100	1.6292	{'f1': 0.8790058862001309}	{'accuracy': 0.822627037392138}
0.0035	661.0	221435	1.6268	{'f1': 0.8816920026437541}	{'accuracy': 0.8283796740172579}
0.0043	662.0	221770	1.7202	{'f1': 0.8806161745827985}	{'accuracy': 0.8216682646212847}
0.0044	663.0	222105	1.7276	{'f1': 0.8800513149454778}	{'accuracy': 0.8207094918504314}
0.0044	664.0	222440	1.6725	{'f1': 0.883419689119171}	{'accuracy': 0.8274209012464045}
0.0045	665.0	222775	1.5903	{'f1': 0.8805280528052805}	{'accuracy': 0.8264621284755513}
0.0033	666.0	223110	1.6448	{'f1': 0.881311475409836}	{'accuracy': 0.8264621284755513}
0.0033	667.0	223445	1.6078	{'f1': 0.8812664907651715}	{'accuracy': 0.8274209012464045}
0.0052	668.0	223780	1.8698	{'f1': 0.8759493670886076}	{'accuracy': 0.8120805369127517}
0.0056	669.0	224115	1.6594	{'f1': 0.8777633289986997}	{'accuracy': 0.8197507190795782}
0.0056	670.0	224450	1.7666	{'f1': 0.8767471410419314}	{'accuracy': 0.8139980824544583}
0.0048	671.0	224785	1.5940	{'f1': 0.883289124668435}	{'accuracy': 0.8312559923298178}
0.0044	672.0	225120	1.6732	{'f1': 0.881664499349805}	{'accuracy': 0.825503355704698}
0.0044	673.0	225455	1.5838	{'f1': 0.88433575677462}	{'accuracy': 0.8322147651006712}
0.0037	674.0	225790	1.7817	{'f1': 0.8753180661577609}	{'accuracy': 0.8120805369127517}
0.0058	675.0	226125	1.6803	{'f1': 0.8810289389067525}	{'accuracy': 0.822627037392138}
0.0058	676.0	226460	1.6020	{'f1': 0.8833876221498371}	{'accuracy': 0.8283796740172579}
0.0046	677.0	226795	1.6947	{'f1': 0.8815958815958816}	{'accuracy': 0.8235858101629914}
0.0015	678.0	227130	1.6027	{'f1': 0.8814229249011858}	{'accuracy': 0.8274209012464045}
0.0015	679.0	227465	1.6842	{'f1': 0.8809368900455433}	{'accuracy': 0.8245445829338447}
0.0035	680.0	227800	1.7749	{'f1': 0.8734015345268541}	{'accuracy': 0.8101629913710451}
0.0071	681.0	228135	1.6325	{'f1': 0.8792650918635171}	{'accuracy': 0.8235858101629914}
0.0071	682.0	228470	1.6693	{'f1': 0.8817766165904638}	{'accuracy': 0.8264621284755513}
0.0031	683.0	228805	1.7287	{'f1': 0.8809368900455433}	{'accuracy': 0.8245445829338447}
0.0051	684.0	229140	1.6958	{'f1': 0.8803641092327698}	{'accuracy': 0.8235858101629914}
0.0051	685.0	229475	1.7540	{'f1': 0.8760436737315349}	{'accuracy': 0.8149568552253116}
0.0033	686.0	229810	1.6853	{'f1': 0.8787096774193548}	{'accuracy': 0.8197507190795782}
0.009	687.0	230145	1.5281	{'f1': 0.8827037773359842}	{'accuracy': 0.8302972195589645}
0.009	688.0	230480	1.6425	{'f1': 0.8807817589576548}	{'accuracy': 0.8245445829338447}
0.005	689.0	230815	1.6769	{'f1': 0.8823911630929175}	{'accuracy': 0.8264621284755513}
0.0035	690.0	231150	1.7624	{'f1': 0.8817065287653523}	{'accuracy': 0.8245445829338447}
0.0035	691.0	231485	1.7393	{'f1': 0.8798449612403101}	{'accuracy': 0.8216682646212847}
0.0048	692.0	231820	1.7047	{'f1': 0.8832354859752121}	{'accuracy': 0.8283796740172579}
0.0027	693.0	232155	1.6658	{'f1': 0.8846657929226737}	{'accuracy': 0.8312559923298178}
0.0027	694.0	232490	1.8153	{'f1': 0.8800513149454778}	{'accuracy': 0.8207094918504314}
0.0027	695.0	232825	1.6971	{'f1': 0.8807817589576548}	{'accuracy': 0.8245445829338447}
0.006	696.0	233160	1.7047	{'f1': 0.8825806451612904}	{'accuracy': 0.825503355704698}
0.006	697.0	233495	1.7104	{'f1': 0.8778280542986426}	{'accuracy': 0.8187919463087249}
0.0051	698.0	233830	1.7271	{'f1': 0.8773281952472703}	{'accuracy': 0.8168744007670182}
0.0058	699.0	234165	1.5991	{'f1': 0.8835078534031414}	{'accuracy': 0.8293384467881112}
0.0041	700.0	234500	1.5880	{'f1': 0.8871287128712871}	{'accuracy': 0.8360498561840843}
0.0041	701.0	234835	1.6696	{'f1': 0.8830829523187459}	{'accuracy': 0.8283796740172579}
0.0054	702.0	235170	1.5805	{'f1': 0.8834759710335748}	{'accuracy': 0.8302972195589645}
0.0048	703.0	235505	1.7371	{'f1': 0.8805681084570691}	{'accuracy': 0.822627037392138}
0.0048	704.0	235840	1.6335	{'f1': 0.8809831824062095}	{'accuracy': 0.8235858101629914}
0.008	705.0	236175	1.5429	{'f1': 0.8880157170923381}	{'accuracy': 0.8360498561840843}
0.0072	706.0	236510	1.5920	{'f1': 0.8799480856586632}	{'accuracy': 0.822627037392138}
0.0072	707.0	236845	1.6666	{'f1': 0.8783000643915004}	{'accuracy': 0.8187919463087249}
0.005	708.0	237180	1.5701	{'f1': 0.8830829523187459}	{'accuracy': 0.8283796740172579}
0.0024	709.0	237515	1.5638	{'f1': 0.8824688115561392}	{'accuracy': 0.8283796740172579}
0.0024	710.0	237850	1.6545	{'f1': 0.8796356538711776}	{'accuracy': 0.822627037392138}
0.0022	711.0	238185	1.5872	{'f1': 0.8821593153390389}	{'accuracy': 0.8283796740172579}
0.0063	712.0	238520	1.4602	{'f1': 0.8839704896042924}	{'accuracy': 0.8341323106423778}
0.0063	713.0	238855	1.7557	{'f1': 0.8793324775353017}	{'accuracy': 0.8197507190795782}
0.0051	714.0	239190	1.5571	{'f1': 0.8828125}	{'accuracy': 0.8274209012464045}
0.0071	715.0	239525	1.5071	{'f1': 0.8847926267281107}	{'accuracy': 0.8322147651006712}
0.0071	716.0	239860	1.5371	{'f1': 0.8842380640941793}	{'accuracy': 0.8302972195589645}
0.0032	717.0	240195	1.6400	{'f1': 0.8809831824062095}	{'accuracy': 0.8235858101629914}
0.0039	718.0	240530	1.5848	{'f1': 0.8836601307189542}	{'accuracy': 0.8293384467881112}
0.0039	719.0	240865	1.5865	{'f1': 0.8877216021011162}	{'accuracy': 0.8360498561840843}
0.0027	720.0	241200	1.5462	{'f1': 0.8862115127175368}	{'accuracy': 0.8370086289549377}
0.0039	721.0	241535	1.6690	{'f1': 0.8858267716535433}	{'accuracy': 0.8331735378715245}
0.0039	722.0	241870	1.7565	{'f1': 0.8812459441920829}	{'accuracy': 0.8245445829338447}
0.0024	723.0	242205	1.6705	{'f1': 0.8844884488448844}	{'accuracy': 0.8322147651006712}
0.0058	724.0	242540	1.7562	{'f1': 0.8804137039431158}	{'accuracy': 0.822627037392138}
0.0058	725.0	242875	1.7151	{'f1': 0.8848405985686402}	{'accuracy': 0.8302972195589645}
0.0046	726.0	243210	1.7525	{'f1': 0.8844155844155843}	{'accuracy': 0.8293384467881112}
0.003	727.0	243545	1.7908	{'f1': 0.8814432989690721}	{'accuracy': 0.8235858101629914}
0.003	728.0	243880	1.7585	{'f1': 0.8798972382787411}	{'accuracy': 0.8207094918504314}
0.0078	729.0	244215	1.6461	{'f1': 0.8808900523560209}	{'accuracy': 0.825503355704698}
0.0055	730.0	244550	1.8172	{'f1': 0.8753213367609254}	{'accuracy': 0.8139980824544583}
0.0055	731.0	244885	1.7606	{'f1': 0.8777991042866283}	{'accuracy': 0.8168744007670182}
0.0069	732.0	245220	1.6387	{'f1': 0.877284595300261}	{'accuracy': 0.8197507190795782}
0.0035	733.0	245555	1.6955	{'f1': 0.8787483702737942}	{'accuracy': 0.8216682646212847}
0.0035	734.0	245890	1.5542	{'f1': 0.8819628647214854}	{'accuracy': 0.8293384467881112}
0.0062	735.0	246225	1.5837	{'f1': 0.8787483702737942}	{'accuracy': 0.8216682646212847}
0.0042	736.0	246560	1.5991	{'f1': 0.881201044386423}	{'accuracy': 0.825503355704698}
0.0042	737.0	246895	1.5077	{'f1': 0.8878566688785668}	{'accuracy': 0.837967401725791}
0.0051	738.0	247230	1.6261	{'f1': 0.8832354859752121}	{'accuracy': 0.8283796740172579}
0.0049	739.0	247565	1.7079	{'f1': 0.8785529715762274}	{'accuracy': 0.8197507190795782}
0.0049	740.0	247900	1.5703	{'f1': 0.8843892880470282}	{'accuracy': 0.8302972195589645}
0.0071	741.0	248235	1.5480	{'f1': 0.8817766165904638}	{'accuracy': 0.8264621284755513}
0.0043	742.0	248570	1.5021	{'f1': 0.8823529411764706}	{'accuracy': 0.8274209012464045}
0.0043	743.0	248905	1.6375	{'f1': 0.8815533980582524}	{'accuracy': 0.8245445829338447}
0.0023	744.0	249240	1.4291	{'f1': 0.8847926267281107}	{'accuracy': 0.8322147651006712}
0.0066	745.0	249575	1.5330	{'f1': 0.8824289405684754}	{'accuracy': 0.825503355704698}
0.0066	746.0	249910	1.4237	{'f1': 0.8823529411764706}	{'accuracy': 0.8274209012464045}
0.0067	747.0	250245	1.3874	{'f1': 0.883289124668435}	{'accuracy': 0.8312559923298178}
0.0034	748.0	250580	1.4532	{'f1': 0.8837209302325582}	{'accuracy': 0.8322147651006712}
0.0034	749.0	250915	1.4834	{'f1': 0.881201044386423}	{'accuracy': 0.825503355704698}
0.0034	750.0	251250	1.5196	{'f1': 0.8796356538711776}	{'accuracy': 0.822627037392138}
0.0034	751.0	251585	1.5726	{'f1': 0.8819714656290532}	{'accuracy': 0.825503355704698}
0.0034	752.0	251920	1.5491	{'f1': 0.8801571709233792}	{'accuracy': 0.8245445829338447}
0.0042	753.0	252255	1.4986	{'f1': 0.8792079207920793}	{'accuracy': 0.8245445829338447}
0.0045	754.0	252590	1.4673	{'f1': 0.8822751322751322}	{'accuracy': 0.8293384467881112}
0.0045	755.0	252925	1.5067	{'f1': 0.8797886393659181}	{'accuracy': 0.825503355704698}
0.0058	756.0	253260	1.6951	{'f1': 0.8775773195876289}	{'accuracy': 0.8178331735378715}
0.0052	757.0	253595	1.5915	{'f1': 0.8787483702737942}	{'accuracy': 0.8216682646212847}
0.0052	758.0	253930	1.5778	{'f1': 0.8820039551746869}	{'accuracy': 0.8283796740172579}
0.0032	759.0	254265	1.6840	{'f1': 0.8763754045307444}	{'accuracy': 0.8168744007670182}
0.0058	760.0	254600	1.5173	{'f1': 0.881491344873502}	{'accuracy': 0.8293384467881112}
0.0058	761.0	254935	1.5686	{'f1': 0.8847926267281107}	{'accuracy': 0.8322147651006712}
0.0033	762.0	255270	1.7293	{'f1': 0.8760436737315349}	{'accuracy': 0.8149568552253116}
0.0031	763.0	255605	1.7252	{'f1': 0.876943005181347}	{'accuracy': 0.8178331735378715}
0.0031	764.0	255940	1.7134	{'f1': 0.8782383419689119}	{'accuracy': 0.8197507190795782}
0.005	765.0	256275	1.6881	{'f1': 0.8771021992238034}	{'accuracy': 0.8178331735378715}
0.0037	766.0	256610	1.5824	{'f1': 0.8814669286182057}	{'accuracy': 0.8264621284755513}
0.0037	767.0	256945	1.6678	{'f1': 0.8792207792207791}	{'accuracy': 0.8216682646212847}
0.0032	768.0	257280	1.6520	{'f1': 0.8811369509043928}	{'accuracy': 0.8235858101629914}
0.0033	769.0	257615	1.5788	{'f1': 0.8794788273615636}	{'accuracy': 0.822627037392138}
0.0033	770.0	257950	1.7073	{'f1': 0.8781431334622825}	{'accuracy': 0.8187919463087249}
0.0064	771.0	258285	1.5705	{'f1': 0.8825857519788918}	{'accuracy': 0.8293384467881112}
0.0034	772.0	258620	1.7071	{'f1': 0.8765352294764059}	{'accuracy': 0.8168744007670182}
0.0034	773.0	258955	1.7116	{'f1': 0.8775773195876289}	{'accuracy': 0.8178331735378715}
0.0043	774.0	259290	1.6249	{'f1': 0.877124183006536}	{'accuracy': 0.8197507190795782}
0.0055	775.0	259625	1.5984	{'f1': 0.8785900783289817}	{'accuracy': 0.8216682646212847}
0.0055	776.0	259960	1.5935	{'f1': 0.8800521512385918}	{'accuracy': 0.8235858101629914}
0.0037	777.0	260295	1.5598	{'f1': 0.8782093482554312}	{'accuracy': 0.822627037392138}
0.0049	778.0	260630	1.5901	{'f1': 0.8777923784494087}	{'accuracy': 0.8216682646212847}
0.0049	779.0	260965	1.6492	{'f1': 0.8767123287671234}	{'accuracy': 0.8187919463087249}
0.0026	780.0	261300	1.7694	{'f1': 0.8749198203976909}	{'accuracy': 0.8130393096836049}
0.0054	781.0	261635	1.7149	{'f1': 0.8748387096774194}	{'accuracy': 0.8139980824544583}
0.0054	782.0	261970	1.6788	{'f1': 0.875}	{'accuracy': 0.8159156279961649}
0.0033	783.0	262305	1.7130	{'f1': 0.8762151652624757}	{'accuracy': 0.8168744007670182}
0.006	784.0	262640	1.5759	{'f1': 0.8802117802779617}	{'accuracy': 0.8264621284755513}
0.006	785.0	262975	1.6508	{'f1': 0.8777633289986997}	{'accuracy': 0.8197507190795782}
0.0031	786.0	263310	1.7313	{'f1': 0.8755641521598968}	{'accuracy': 0.8149568552253116}
0.0042	787.0	263645	1.6428	{'f1': 0.8792650918635171}	{'accuracy': 0.8235858101629914}
0.0042	788.0	263980	1.7532	{'f1': 0.8788659793814433}	{'accuracy': 0.8197507190795782}
0.0036	789.0	264315	1.7189	{'f1': 0.8782383419689119}	{'accuracy': 0.8197507190795782}
0.0048	790.0	264650	1.7035	{'f1': 0.876943005181347}	{'accuracy': 0.8178331735378715}
0.0048	791.0	264985	1.6092	{'f1': 0.8788881535407015}	{'accuracy': 0.8245445829338447}
0.0045	792.0	265320	1.6136	{'f1': 0.8791500664010624}	{'accuracy': 0.825503355704698}
0.0032	793.0	265655	1.6764	{'f1': 0.8794233289646134}	{'accuracy': 0.8235858101629914}
0.0032	794.0	265990	1.8102	{'f1': 0.8770122343850613}	{'accuracy': 0.8168744007670182}
0.0048	795.0	266325	1.7445	{'f1': 0.8776041666666666}	{'accuracy': 0.8197507190795782}
0.004	796.0	266660	1.7284	{'f1': 0.8762278978388998}	{'accuracy': 0.8187919463087249}
0.004	797.0	266995	1.8343	{'f1': 0.8733850129198967}	{'accuracy': 0.8120805369127517}
0.0039	798.0	267330	1.8077	{'f1': 0.8711974110032363}	{'accuracy': 0.8092042186001918}
0.0026	799.0	267665	1.8041	{'f1': 0.8721609344581441}	{'accuracy': 0.8111217641418984}
0.0032	800.0	268000	1.7025	{'f1': 0.8786885245901639}	{'accuracy': 0.822627037392138}
0.0032	801.0	268335	1.7495	{'f1': 0.8763020833333333}	{'accuracy': 0.8178331735378715}
0.0058	802.0	268670	1.7034	{'f1': 0.8788474132285528}	{'accuracy': 0.822627037392138}
0.0028	803.0	269005	1.7309	{'f1': 0.8806262230919765}	{'accuracy': 0.8245445829338447}
0.0028	804.0	269340	1.7222	{'f1': 0.8797920727745288}	{'accuracy': 0.822627037392138}
0.0033	805.0	269675	1.6105	{'f1': 0.8781127129750983}	{'accuracy': 0.8216682646212847}
0.0043	806.0	270010	1.6209	{'f1': 0.8791064388961892}	{'accuracy': 0.8235858101629914}
0.0043	807.0	270345	1.7457	{'f1': 0.8800000000000001}	{'accuracy': 0.8216682646212847}
0.0035	808.0	270680	1.8058	{'f1': 0.8761290322580645}	{'accuracy': 0.8159156279961649}
0.0027	809.0	271015	1.8286	{'f1': 0.8741976893453146}	{'accuracy': 0.8120805369127517}
0.0027	810.0	271350	1.7140	{'f1': 0.8838120104438641}	{'accuracy': 0.8293384467881112}
0.0029	811.0	271685	1.6997	{'f1': 0.8820445609436436}	{'accuracy': 0.8274209012464045}
0.004	812.0	272020	1.7859	{'f1': 0.8779857972885732}	{'accuracy': 0.8187919463087249}
0.004	813.0	272355	1.8436	{'f1': 0.8741976893453146}	{'accuracy': 0.8120805369127517}
0.0031	814.0	272690	1.7848	{'f1': 0.8745148771021992}	{'accuracy': 0.8139980824544583}
0.0043	815.0	273025	1.8718	{'f1': 0.872680742162508}	{'accuracy': 0.8092042186001918}
0.0043	816.0	273360	1.6951	{'f1': 0.8808900523560209}	{'accuracy': 0.825503355704698}
0.0034	817.0	273695	1.7584	{'f1': 0.880103694102398}	{'accuracy': 0.822627037392138}
0.003	818.0	274030	1.6783	{'f1': 0.8821192052980134}	{'accuracy': 0.8293384467881112}
0.003	819.0	274365	1.7632	{'f1': 0.8792207792207791}	{'accuracy': 0.8216682646212847}
0.0028	820.0	274700	1.6914	{'f1': 0.8820039551746869}	{'accuracy': 0.8283796740172579}
0.0064	821.0	275035	1.7082	{'f1': 0.8768729641693811}	{'accuracy': 0.8187919463087249}
0.0064	822.0	275370	1.6736	{'f1': 0.88}	{'accuracy': 0.8245445829338447}
0.004	823.0	275705	1.6481	{'f1': 0.880842659644503}	{'accuracy': 0.8264621284755513}
0.0041	824.0	276040	1.6841	{'f1': 0.8806262230919765}	{'accuracy': 0.8245445829338447}
0.0041	825.0	276375	1.7816	{'f1': 0.8787096774193548}	{'accuracy': 0.8197507190795782}
0.0028	826.0	276710	1.6381	{'f1': 0.8811556139198949}	{'accuracy': 0.8264621284755513}
0.0046	827.0	277045	1.6258	{'f1': 0.8803139306736429}	{'accuracy': 0.8245445829338447}
0.0046	828.0	277380	1.5245	{'f1': 0.8837516512549538}	{'accuracy': 0.8312559923298178}
0.0064	829.0	277715	1.6464	{'f1': 0.8809368900455433}	{'accuracy': 0.8245445829338447}
0.0013	830.0	278050	1.5779	{'f1': 0.8834437086092717}	{'accuracy': 0.8312559923298178}
0.0013	831.0	278385	1.7291	{'f1': 0.8779857972885732}	{'accuracy': 0.8187919463087249}
0.0035	832.0	278720	1.6297	{'f1': 0.8817345597897503}	{'accuracy': 0.8274209012464045}
0.0036	833.0	279055	1.5615	{'f1': 0.8860927152317881}	{'accuracy': 0.835091083413231}
0.0036	834.0	279390	1.7254	{'f1': 0.8763613068545804}	{'accuracy': 0.8149568552253116}
0.0066	835.0	279725	1.5162	{'f1': 0.8843085106382979}	{'accuracy': 0.8331735378715245}
0.0025	836.0	280060	1.5393	{'f1': 0.8847682119205298}	{'accuracy': 0.8331735378715245}
0.0025	837.0	280395	1.6011	{'f1': 0.8825857519788918}	{'accuracy': 0.8293384467881112}
0.0047	838.0	280730	1.7815	{'f1': 0.8778920308483289}	{'accuracy': 0.8178331735378715}
0.0069	839.0	281065	1.6868	{'f1': 0.8778280542986426}	{'accuracy': 0.8187919463087249}
0.0069	840.0	281400	1.6110	{'f1': 0.8790058862001309}	{'accuracy': 0.822627037392138}
0.0057	841.0	281735	1.7266	{'f1': 0.8741123305358297}	{'accuracy': 0.8130393096836049}
0.0023	842.0	282070	1.5071	{'f1': 0.8852023888520238}	{'accuracy': 0.8341323106423778}
0.0023	843.0	282405	1.6223	{'f1': 0.8801571709233792}	{'accuracy': 0.8245445829338447}
0.0032	844.0	282740	1.5283	{'f1': 0.8787878787878788}	{'accuracy': 0.8235858101629914}
0.0065	845.0	283075	1.6950	{'f1': 0.8765352294764059}	{'accuracy': 0.8168744007670182}
0.0065	846.0	283410	1.5313	{'f1': 0.8794788273615636}	{'accuracy': 0.822627037392138}
0.0059	847.0	283745	1.5719	{'f1': 0.8818181818181818}	{'accuracy': 0.825503355704698}
0.0023	848.0	284080	1.5461	{'f1': 0.8833551769331585}	{'accuracy': 0.8293384467881112}
0.0023	849.0	284415	1.6004	{'f1': 0.88296488946684}	{'accuracy': 0.8274209012464045}
0.0026	850.0	284750	1.6252	{'f1': 0.8783958602846055}	{'accuracy': 0.8197507190795782}
0.0073	851.0	285085	1.5237	{'f1': 0.8790058862001309}	{'accuracy': 0.822627037392138}
0.0073	852.0	285420	1.5458	{'f1': 0.879526003949967}	{'accuracy': 0.8245445829338447}
0.0037	853.0	285755	1.5439	{'f1': 0.8796844181459565}	{'accuracy': 0.8245445829338447}
0.0028	854.0	286090	1.6754	{'f1': 0.8766946417043254}	{'accuracy': 0.8168744007670182}
0.0028	855.0	286425	1.5802	{'f1': 0.8765676567656766}	{'accuracy': 0.8207094918504314}
0.0024	856.0	286760	1.5366	{'f1': 0.879526003949967}	{'accuracy': 0.8245445829338447}
0.0082	857.0	287095	1.5267	{'f1': 0.8787276341948311}	{'accuracy': 0.8245445829338447}
0.0082	858.0	287430	1.6491	{'f1': 0.8794326241134752}	{'accuracy': 0.8207094918504314}
0.0034	859.0	287765	1.5808	{'f1': 0.8795811518324608}	{'accuracy': 0.8235858101629914}
0.0062	860.0	288100	1.5517	{'f1': 0.8780169602087411}	{'accuracy': 0.8207094918504314}
0.0062	861.0	288435	1.5949	{'f1': 0.8791208791208791}	{'accuracy': 0.8207094918504314}
0.0018	862.0	288770	1.5440	{'f1': 0.8823529411764706}	{'accuracy': 0.8274209012464045}
0.0049	863.0	289105	1.4895	{'f1': 0.8811556139198949}	{'accuracy': 0.8264621284755513}
0.0049	864.0	289440	1.5049	{'f1': 0.8863936591809775}	{'accuracy': 0.835091083413231}
0.0026	865.0	289775	1.5587	{'f1': 0.8808900523560209}	{'accuracy': 0.825503355704698}
0.0039	866.0	290110	1.5543	{'f1': 0.8818897637795275}	{'accuracy': 0.8274209012464045}
0.0039	867.0	290445	1.6776	{'f1': 0.8785529715762274}	{'accuracy': 0.8197507190795782}
0.0038	868.0	290780	1.5554	{'f1': 0.8816920026437541}	{'accuracy': 0.8283796740172579}
0.0044	869.0	291115	1.6552	{'f1': 0.8793774319066148}	{'accuracy': 0.8216682646212847}
0.0044	870.0	291450	1.6860	{'f1': 0.8754034861200773}	{'accuracy': 0.8149568552253116}
0.0048	871.0	291785	1.5888	{'f1': 0.8773770491803279}	{'accuracy': 0.8207094918504314}
0.005	872.0	292120	1.7552	{'f1': 0.8716956802063185}	{'accuracy': 0.8092042186001918}
0.005	873.0	292455	1.6055	{'f1': 0.8782093482554312}	{'accuracy': 0.822627037392138}
0.0017	874.0	292790	1.6851	{'f1': 0.8757319453480807}	{'accuracy': 0.8168744007670182}
0.0019	875.0	293125	1.5263	{'f1': 0.8859239492995331}	{'accuracy': 0.8360498561840843}
0.0019	876.0	293460	1.8864	{'f1': 0.8762755102040816}	{'accuracy': 0.8139980824544583}
0.0046	877.0	293795	1.6726	{'f1': 0.8762151652624757}	{'accuracy': 0.8168744007670182}
0.0053	878.0	294130	1.6633	{'f1': 0.8768729641693811}	{'accuracy': 0.8187919463087249}
0.0053	879.0	294465	1.5332	{'f1': 0.881201044386423}	{'accuracy': 0.825503355704698}
0.0038	880.0	294800	1.5875	{'f1': 0.8794788273615636}	{'accuracy': 0.822627037392138}
0.0016	881.0	295135	1.5800	{'f1': 0.8823529411764706}	{'accuracy': 0.8274209012464045}
0.0016	882.0	295470	1.7071	{'f1': 0.8783000643915004}	{'accuracy': 0.8187919463087249}
0.0036	883.0	295805	1.5565	{'f1': 0.8828590337524818}	{'accuracy': 0.8302972195589645}
0.0029	884.0	296140	1.6237	{'f1': 0.8787878787878788}	{'accuracy': 0.8235858101629914}
0.0029	885.0	296475	1.6317	{'f1': 0.8809993425378042}	{'accuracy': 0.8264621284755513}
0.0023	886.0	296810	1.7371	{'f1': 0.8825806451612904}	{'accuracy': 0.825503355704698}
0.0042	887.0	297145	1.6704	{'f1': 0.8825065274151437}	{'accuracy': 0.8274209012464045}
0.0042	888.0	297480	1.6768	{'f1': 0.8818181818181818}	{'accuracy': 0.825503355704698}
0.0034	889.0	297815	1.5612	{'f1': 0.8820786142571618}	{'accuracy': 0.8302972195589645}
0.0032	890.0	298150	1.6058	{'f1': 0.8811556139198949}	{'accuracy': 0.8264621284755513}
0.0032	891.0	298485	1.5487	{'f1': 0.8815789473684211}	{'accuracy': 0.8274209012464045}
0.0042	892.0	298820	1.6238	{'f1': 0.8808290155440415}	{'accuracy': 0.8235858101629914}
0.005	893.0	299155	1.6006	{'f1': 0.8826597131681878}	{'accuracy': 0.8274209012464045}
0.005	894.0	299490	1.5974	{'f1': 0.8840864440078585}	{'accuracy': 0.8302972195589645}
0.0026	895.0	299825	1.5750	{'f1': 0.8837820091923834}	{'accuracy': 0.8302972195589645}
0.0029	896.0	300160	1.5631	{'f1': 0.8874172185430463}	{'accuracy': 0.8370086289549377}
0.0029	897.0	300495	1.4892	{'f1': 0.8828590337524818}	{'accuracy': 0.8302972195589645}
0.0078	898.0	300830	1.6689	{'f1': 0.8818998716302953}	{'accuracy': 0.8235858101629914}
0.0029	899.0	301165	1.6107	{'f1': 0.880674448767834}	{'accuracy': 0.8235858101629914}
0.0033	900.0	301500	1.5714	{'f1': 0.8861256544502618}	{'accuracy': 0.8331735378715245}
0.0033	901.0	301835	1.5784	{'f1': 0.8825065274151437}	{'accuracy': 0.8274209012464045}
0.0034	902.0	302170	1.6497	{'f1': 0.8831504196255648}	{'accuracy': 0.8264621284755513}
0.0018	903.0	302505	1.5811	{'f1': 0.8874259381171825}	{'accuracy': 0.8360498561840843}
0.0018	904.0	302840	1.6148	{'f1': 0.884967320261438}	{'accuracy': 0.8312559923298178}
0.0034	905.0	303175	1.6339	{'f1': 0.8880105401844532}	{'accuracy': 0.8370086289549377}
0.0024	906.0	303510	1.6064	{'f1': 0.8850498338870432}	{'accuracy': 0.8341323106423778}
0.0024	907.0	303845	1.6667	{'f1': 0.8844155844155843}	{'accuracy': 0.8293384467881112}
0.0042	908.0	304180	1.5906	{'f1': 0.8868421052631579}	{'accuracy': 0.835091083413231}
0.0044	909.0	304515	1.6430	{'f1': 0.8805194805194805}	{'accuracy': 0.8235858101629914}
0.0044	910.0	304850	1.5804	{'f1': 0.8821989528795812}	{'accuracy': 0.8274209012464045}
0.0054	911.0	305185	1.5657	{'f1': 0.8858085808580859}	{'accuracy': 0.8341323106423778}
0.0035	912.0	305520	1.6200	{'f1': 0.8867059593975114}	{'accuracy': 0.8341323106423778}
0.0035	913.0	305855	1.6597	{'f1': 0.881664499349805}	{'accuracy': 0.825503355704698}
0.0045	914.0	306190	1.5984	{'f1': 0.883322346736981}	{'accuracy': 0.8302972195589645}
0.0038	915.0	306525	1.6561	{'f1': 0.8839634941329856}	{'accuracy': 0.8293384467881112}
0.0038	916.0	306860	1.6429	{'f1': 0.8805194805194805}	{'accuracy': 0.8235858101629914}
0.0035	917.0	307195	1.5792	{'f1': 0.8855263157894737}	{'accuracy': 0.8331735378715245}
0.0035	918.0	307530	1.7385	{'f1': 0.8787684413085312}	{'accuracy': 0.8187919463087249}
0.0035	919.0	307865	1.6209	{'f1': 0.8826597131681878}	{'accuracy': 0.8274209012464045}
0.0019	920.0	308200	1.7804	{'f1': 0.8798972382787411}	{'accuracy': 0.8207094918504314}
0.0031	921.0	308535	1.6301	{'f1': 0.8826229508196721}	{'accuracy': 0.8283796740172579}
0.0031	922.0	308870	1.6976	{'f1': 0.8823911630929175}	{'accuracy': 0.8264621284755513}
0.0038	923.0	309205	1.6510	{'f1': 0.882084690553746}	{'accuracy': 0.8264621284755513}
0.0042	924.0	309540	1.5643	{'f1': 0.8849206349206349}	{'accuracy': 0.8331735378715245}
0.0042	925.0	309875	1.6576	{'f1': 0.880103694102398}	{'accuracy': 0.822627037392138}
0.0028	926.0	310210	1.5039	{'f1': 0.8815612382234185}	{'accuracy': 0.8312559923298178}
0.0062	927.0	310545	1.5374	{'f1': 0.8850498338870432}	{'accuracy': 0.8341323106423778}
0.0062	928.0	310880	1.5927	{'f1': 0.8826229508196721}	{'accuracy': 0.8283796740172579}
0.0044	929.0	311215	1.5802	{'f1': 0.88433575677462}	{'accuracy': 0.8322147651006712}
0.0027	930.0	311550	1.6385	{'f1': 0.8822381262199089}	{'accuracy': 0.8264621284755513}
0.0027	931.0	311885	1.6352	{'f1': 0.8851174934725848}	{'accuracy': 0.8312559923298178}
0.0019	932.0	312220	1.5997	{'f1': 0.8833551769331585}	{'accuracy': 0.8293384467881112}
0.0057	933.0	312555	1.7269	{'f1': 0.8792332268370607}	{'accuracy': 0.8187919463087249}
0.0057	934.0	312890	1.6056	{'f1': 0.88296488946684}	{'accuracy': 0.8274209012464045}
0.0041	935.0	313225	1.5573	{'f1': 0.8805774278215224}	{'accuracy': 0.825503355704698}
0.0047	936.0	313560	1.5695	{'f1': 0.881201044386423}	{'accuracy': 0.825503355704698}
0.0047	937.0	313895	1.5672	{'f1': 0.8816219751471549}	{'accuracy': 0.8264621284755513}
0.0032	938.0	314230	1.6133	{'f1': 0.8823911630929175}	{'accuracy': 0.8264621284755513}
0.0066	939.0	314565	1.6662	{'f1': 0.8798972382787411}	{'accuracy': 0.8207094918504314}
0.0066	940.0	314900	1.6603	{'f1': 0.8811369509043928}	{'accuracy': 0.8235858101629914}
0.0034	941.0	315235	1.6765	{'f1': 0.8804627249357326}	{'accuracy': 0.8216682646212847}
0.0027	942.0	315570	1.5801	{'f1': 0.8804204993429697}	{'accuracy': 0.825503355704698}
0.0027	943.0	315905	1.6363	{'f1': 0.8809368900455433}	{'accuracy': 0.8245445829338447}
0.005	944.0	316240	1.5752	{'f1': 0.8828125}	{'accuracy': 0.8274209012464045}
0.0034	945.0	316575	1.6556	{'f1': 0.8809218950064021}	{'accuracy': 0.8216682646212847}
0.0034	946.0	316910	1.5272	{'f1': 0.8847926267281107}	{'accuracy': 0.8322147651006712}
0.0036	947.0	317245	1.5728	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0043	948.0	317580	1.5613	{'f1': 0.8834759710335748}	{'accuracy': 0.8302972195589645}
0.0043	949.0	317915	1.7344	{'f1': 0.8813341885824246}	{'accuracy': 0.822627037392138}
0.0025	950.0	318250	1.6721	{'f1': 0.8838416612589227}	{'accuracy': 0.8283796740172579}
0.0023	951.0	318585	1.6155	{'f1': 0.8806855636123929}	{'accuracy': 0.8264621284755513}
0.0023	952.0	318920	1.6973	{'f1': 0.8839634941329856}	{'accuracy': 0.8293384467881112}
0.0025	953.0	319255	1.7128	{'f1': 0.8852883992222943}	{'accuracy': 0.8302972195589645}
0.0027	954.0	319590	1.6258	{'f1': 0.882392026578073}	{'accuracy': 0.8302972195589645}
0.0027	955.0	319925	1.6449	{'f1': 0.8791064388961892}	{'accuracy': 0.8235858101629914}
0.0041	956.0	320260	1.7144	{'f1': 0.8838416612589227}	{'accuracy': 0.8283796740172579}
0.0033	957.0	320595	1.6443	{'f1': 0.8791064388961892}	{'accuracy': 0.8235858101629914}
0.0033	958.0	320930	1.6851	{'f1': 0.8835393623942747}	{'accuracy': 0.8283796740172579}
0.0033	959.0	321265	1.6488	{'f1': 0.8783694937541091}	{'accuracy': 0.822627037392138}
0.0042	960.0	321600	1.6676	{'f1': 0.8833876221498371}	{'accuracy': 0.8283796740172579}
0.0042	961.0	321935	1.6440	{'f1': 0.8813559322033898}	{'accuracy': 0.825503355704698}
0.0034	962.0	322270	1.5868	{'f1': 0.881201044386423}	{'accuracy': 0.825503355704698}
0.0039	963.0	322605	1.6646	{'f1': 0.8787096774193548}	{'accuracy': 0.8197507190795782}
0.0039	964.0	322940	1.5576	{'f1': 0.8825481088254811}	{'accuracy': 0.8302972195589645}
0.0027	965.0	323275	1.6395	{'f1': 0.883419689119171}	{'accuracy': 0.8274209012464045}
0.0061	966.0	323610	1.5301	{'f1': 0.8805870580386924}	{'accuracy': 0.8283796740172579}
0.0061	967.0	323945	1.5664	{'f1': 0.8811556139198949}	{'accuracy': 0.8264621284755513}
0.0027	968.0	324280	1.5934	{'f1': 0.8825438027255029}	{'accuracy': 0.8264621284755513}
0.0046	969.0	324615	1.6040	{'f1': 0.8841145833333333}	{'accuracy': 0.8293384467881112}
0.0046	970.0	324950	1.5580	{'f1': 0.8801054018445323}	{'accuracy': 0.825503355704698}
0.0024	971.0	325285	1.6129	{'f1': 0.8851174934725848}	{'accuracy': 0.8312559923298178}
0.0025	972.0	325620	1.5886	{'f1': 0.8799472295514512}	{'accuracy': 0.825503355704698}
0.0025	973.0	325955	1.6544	{'f1': 0.8852672750977836}	{'accuracy': 0.8312559923298178}
0.0022	974.0	326290	1.6077	{'f1': 0.8829300196206671}	{'accuracy': 0.8283796740172579}
0.0055	975.0	326625	1.6093	{'f1': 0.88}	{'accuracy': 0.8245445829338447}
0.0055	976.0	326960	1.7068	{'f1': 0.8787096774193548}	{'accuracy': 0.8197507190795782}
0.003	977.0	327295	1.6335	{'f1': 0.8809993425378042}	{'accuracy': 0.8264621284755513}
0.0029	978.0	327630	1.6634	{'f1': 0.8779220779220779}	{'accuracy': 0.8197507190795782}
0.0029	979.0	327965	1.6256	{'f1': 0.8825438027255029}	{'accuracy': 0.8264621284755513}
0.0057	980.0	328300	1.6660	{'f1': 0.8814432989690721}	{'accuracy': 0.8235858101629914}
0.003	981.0	328635	1.5918	{'f1': 0.8839344262295081}	{'accuracy': 0.8302972195589645}
0.003	982.0	328970	1.7089	{'f1': 0.8823151125401929}	{'accuracy': 0.8245445829338447}
0.0038	983.0	329305	1.6115	{'f1': 0.8836907082521118}	{'accuracy': 0.8283796740172579}
0.0031	984.0	329640	1.5545	{'f1': 0.8805280528052805}	{'accuracy': 0.8264621284755513}
0.0031	985.0	329975	1.6240	{'f1': 0.8823529411764706}	{'accuracy': 0.8274209012464045}
0.0015	986.0	330310	1.6431	{'f1': 0.8832684824902725}	{'accuracy': 0.8274209012464045}
0.0035	987.0	330645	1.5873	{'f1': 0.884967320261438}	{'accuracy': 0.8312559923298178}
0.0035	988.0	330980	1.5421	{'f1': 0.8837516512549538}	{'accuracy': 0.8312559923298178}
0.0039	989.0	331315	1.5917	{'f1': 0.8841826604897418}	{'accuracy': 0.8322147651006712}
0.0014	990.0	331650	1.5912	{'f1': 0.8875582168995342}	{'accuracy': 0.837967401725791}
0.0014	991.0	331985	1.6806	{'f1': 0.8835078534031414}	{'accuracy': 0.8293384467881112}
0.0026	992.0	332320	1.6707	{'f1': 0.8843626806833115}	{'accuracy': 0.8312559923298178}
0.0017	993.0	332655	1.8238	{'f1': 0.882466281310212}	{'accuracy': 0.8245445829338447}
0.0017	994.0	332990	1.6485	{'f1': 0.8822751322751322}	{'accuracy': 0.8293384467881112}
0.0026	995.0	333325	1.6771	{'f1': 0.8816219751471549}	{'accuracy': 0.8264621284755513}
0.0035	996.0	333660	1.7282	{'f1': 0.8803641092327698}	{'accuracy': 0.8235858101629914}
0.0035	997.0	333995	1.7101	{'f1': 0.8797920727745288}	{'accuracy': 0.822627037392138}
0.0035	998.0	334330	1.7343	{'f1': 0.8808290155440415}	{'accuracy': 0.8235858101629914}
0.0025	999.0	334665	1.8057	{'f1': 0.8784565916398713}	{'accuracy': 0.8187919463087249}
0.0019	1000.0	335000	1.8351	{'f1': 0.8804627249357326}	{'accuracy': 0.8216682646212847}
0.0019	1001.0	335335	1.6279	{'f1': 0.8844884488448844}	{'accuracy': 0.8322147651006712}
0.006	1002.0	335670	1.6531	{'f1': 0.8852459016393444}	{'accuracy': 0.8322147651006712}
0.004	1003.0	336005	1.6674	{'f1': 0.8843892880470282}	{'accuracy': 0.8302972195589645}
0.004	1004.0	336340	1.7113	{'f1': 0.882084690553746}	{'accuracy': 0.8264621284755513}
0.0022	1005.0	336675	1.6658	{'f1': 0.8835078534031414}	{'accuracy': 0.8293384467881112}
0.0039	1006.0	337010	1.7137	{'f1': 0.8788075178224238}	{'accuracy': 0.8207094918504314}
0.0039	1007.0	337345	1.6736	{'f1': 0.8848405985686402}	{'accuracy': 0.8302972195589645}
0.0052	1008.0	337680	1.5942	{'f1': 0.8817766165904638}	{'accuracy': 0.8264621284755513}
0.0072	1009.0	338015	1.6167	{'f1': 0.8805681084570691}	{'accuracy': 0.822627037392138}
0.0072	1010.0	338350	1.5201	{'f1': 0.8883048620236531}	{'accuracy': 0.8370086289549377}
0.0021	1011.0	338685	1.5181	{'f1': 0.8846407382992749}	{'accuracy': 0.8322147651006712}
0.0023	1012.0	339020	1.5751	{'f1': 0.8871493803000652}	{'accuracy': 0.8341323106423778}
0.0023	1013.0	339355	1.5257	{'f1': 0.88561872909699}	{'accuracy': 0.8360498561840843}
0.0023	1014.0	339690	1.6862	{'f1': 0.8821635544108178}	{'accuracy': 0.8245445829338447}
0.0035	1015.0	340025	1.5701	{'f1': 0.8836291913214991}	{'accuracy': 0.8302972195589645}
0.0035	1016.0	340360	1.5413	{'f1': 0.8850498338870432}	{'accuracy': 0.8341323106423778}
0.0026	1017.0	340695	1.7485	{'f1': 0.8803088803088803}	{'accuracy': 0.8216682646212847}
0.0028	1018.0	341030	1.7583	{'f1': 0.8823151125401929}	{'accuracy': 0.8245445829338447}
0.0028	1019.0	341365	1.7090	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.003	1020.0	341700	1.5417	{'f1': 0.8875661375661376}	{'accuracy': 0.8370086289549377}
0.0075	1021.0	342035	1.5904	{'f1': 0.8874430709173715}	{'accuracy': 0.8341323106423778}
0.0075	1022.0	342370	1.5910	{'f1': 0.8865710560625816}	{'accuracy': 0.8331735378715245}
0.0026	1023.0	342705	1.5547	{'f1': 0.8859591298615689}	{'accuracy': 0.8341323106423778}
0.0041	1024.0	343040	1.5638	{'f1': 0.8891820580474935}	{'accuracy': 0.8389261744966443}
0.0041	1025.0	343375	1.7581	{'f1': 0.8795878943979395}	{'accuracy': 0.8207094918504314}
0.004	1026.0	343710	1.5905	{'f1': 0.8865435356200528}	{'accuracy': 0.835091083413231}
0.0028	1027.0	344045	1.7152	{'f1': 0.8831504196255648}	{'accuracy': 0.8264621284755513}
0.0028	1028.0	344380	1.6984	{'f1': 0.8847150259067358}	{'accuracy': 0.8293384467881112}
0.0021	1029.0	344715	1.6455	{'f1': 0.8875816993464052}	{'accuracy': 0.835091083413231}
0.0029	1030.0	345050	1.5999	{'f1': 0.8885959129861568}	{'accuracy': 0.837967401725791}
0.0029	1031.0	345385	1.6865	{'f1': 0.8861418347430059}	{'accuracy': 0.8322147651006712}
0.0015	1032.0	345720	1.5991	{'f1': 0.8887417218543047}	{'accuracy': 0.8389261744966443}
0.0054	1033.0	346055	1.8527	{'f1': 0.8778625954198473}	{'accuracy': 0.8159156279961649}
0.0054	1034.0	346390	1.5213	{'f1': 0.8918558077436584}	{'accuracy': 0.8446788111217641}
0.0037	1035.0	346725	1.6267	{'f1': 0.8868541530412034}	{'accuracy': 0.8341323106423778}
0.0035	1036.0	347060	1.5801	{'f1': 0.8883013879709186}	{'accuracy': 0.837967401725791}
0.0035	1037.0	347395	1.6451	{'f1': 0.8884540117416829}	{'accuracy': 0.8360498561840843}
0.0037	1038.0	347730	1.5951	{'f1': 0.8884488448844885}	{'accuracy': 0.837967401725791}
0.0031	1039.0	348065	1.5840	{'f1': 0.8874172185430463}	{'accuracy': 0.8370086289549377}
0.0031	1040.0	348400	1.6453	{'f1': 0.888597640891219}	{'accuracy': 0.8370086289549377}
0.0031	1041.0	348735	1.6136	{'f1': 0.8875661375661376}	{'accuracy': 0.8370086289549377}
0.0022	1042.0	349070	1.6422	{'f1': 0.8903566710700133}	{'accuracy': 0.840843720038351}
0.0022	1043.0	349405	1.6441	{'f1': 0.8881621975147155}	{'accuracy': 0.8360498561840843}
0.0032	1044.0	349740	1.7125	{'f1': 0.8841423948220065}	{'accuracy': 0.8283796740172579}
0.0044	1045.0	350075	1.6543	{'f1': 0.8859934853420196}	{'accuracy': 0.8322147651006712}
0.0044	1046.0	350410	1.6956	{'f1': 0.8847150259067358}	{'accuracy': 0.8293384467881112}
0.0042	1047.0	350745	1.5667	{'f1': 0.8899143045484509}	{'accuracy': 0.8398849472674976}
0.0041	1048.0	351080	1.5807	{'f1': 0.8861256544502618}	{'accuracy': 0.8331735378715245}
0.0041	1049.0	351415	1.5926	{'f1': 0.8858267716535433}	{'accuracy': 0.8331735378715245}
0.0018	1050.0	351750	1.6285	{'f1': 0.8856956237753103}	{'accuracy': 0.8322147651006712}
0.0029	1051.0	352085	1.5853	{'f1': 0.8874259381171825}	{'accuracy': 0.8360498561840843}
0.0029	1052.0	352420	1.6858	{'f1': 0.8826597131681878}	{'accuracy': 0.8274209012464045}
0.0032	1053.0	352755	1.7886	{'f1': 0.8808757244043787}	{'accuracy': 0.822627037392138}
0.0023	1054.0	353090	1.6543	{'f1': 0.8837820091923834}	{'accuracy': 0.8302972195589645}
0.0023	1055.0	353425	1.6165	{'f1': 0.8839050131926122}	{'accuracy': 0.8312559923298178}
0.0036	1056.0	353760	1.6832	{'f1': 0.8833876221498371}	{'accuracy': 0.8283796740172579}
0.0036	1057.0	354095	1.6402	{'f1': 0.8852672750977836}	{'accuracy': 0.8312559923298178}
0.0036	1058.0	354430	1.6821	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0024	1059.0	354765	1.5917	{'f1': 0.8852242744063324}	{'accuracy': 0.8331735378715245}
0.0043	1060.0	355100	1.6325	{'f1': 0.8851174934725848}	{'accuracy': 0.8312559923298178}
0.0043	1061.0	355435	1.5850	{'f1': 0.8846153846153847}	{'accuracy': 0.8331735378715245}
0.0039	1062.0	355770	1.5670	{'f1': 0.885506287227002}	{'accuracy': 0.8341323106423778}
0.0019	1063.0	356105	1.6631	{'f1': 0.8880208333333334}	{'accuracy': 0.835091083413231}
0.0019	1064.0	356440	1.5969	{'f1': 0.886259040105194}	{'accuracy': 0.8341323106423778}
0.0036	1065.0	356775	1.5846	{'f1': 0.8839050131926122}	{'accuracy': 0.8312559923298178}
0.0029	1066.0	357110	1.6015	{'f1': 0.8872870249017039}	{'accuracy': 0.835091083413231}
0.0029	1067.0	357445	1.6231	{'f1': 0.8862745098039215}	{'accuracy': 0.8331735378715245}
0.0028	1068.0	357780	1.5626	{'f1': 0.88021534320323}	{'accuracy': 0.8293384467881112}
0.0032	1069.0	358115	1.6495	{'f1': 0.8842380640941793}	{'accuracy': 0.8302972195589645}
0.0032	1070.0	358450	1.6486	{'f1': 0.8825065274151437}	{'accuracy': 0.8274209012464045}
0.0047	1071.0	358785	1.6075	{'f1': 0.8820039551746869}	{'accuracy': 0.8283796740172579}
0.0028	1072.0	359120	1.7135	{'f1': 0.8799480856586632}	{'accuracy': 0.822627037392138}
0.0028	1073.0	359455	1.6339	{'f1': 0.8790482485128884}	{'accuracy': 0.8245445829338447}
0.0031	1074.0	359790	1.6787	{'f1': 0.8830829523187459}	{'accuracy': 0.8283796740172579}
0.0048	1075.0	360125	1.6607	{'f1': 0.8797920727745288}	{'accuracy': 0.822627037392138}
0.0048	1076.0	360460	1.7147	{'f1': 0.8777633289986997}	{'accuracy': 0.8197507190795782}
0.0016	1077.0	360795	1.6353	{'f1': 0.8782722513089006}	{'accuracy': 0.8216682646212847}
0.0038	1078.0	361130	1.5526	{'f1': 0.8822355289421158}	{'accuracy': 0.8302972195589645}
0.0038	1079.0	361465	1.6613	{'f1': 0.8793774319066148}	{'accuracy': 0.8216682646212847}
0.0038	1080.0	361800	1.6224	{'f1': 0.8816219751471549}	{'accuracy': 0.8264621284755513}
0.0014	1081.0	362135	1.6471	{'f1': 0.8804702808621816}	{'accuracy': 0.8245445829338447}
0.0014	1082.0	362470	1.6292	{'f1': 0.8858267716535433}	{'accuracy': 0.8331735378715245}
0.0035	1083.0	362805	1.6660	{'f1': 0.8826597131681878}	{'accuracy': 0.8274209012464045}
0.0024	1084.0	363140	1.6730	{'f1': 0.8807817589576548}	{'accuracy': 0.8245445829338447}
0.0024	1085.0	363475	1.6435	{'f1': 0.8832354859752121}	{'accuracy': 0.8283796740172579}
0.0037	1086.0	363810	1.5428	{'f1': 0.8847682119205298}	{'accuracy': 0.8331735378715245}
0.0048	1087.0	364145	1.5604	{'f1': 0.8858267716535433}	{'accuracy': 0.8331735378715245}
0.0048	1088.0	364480	1.6473	{'f1': 0.8780804150453955}	{'accuracy': 0.8197507190795782}
0.0042	1089.0	364815	1.5494	{'f1': 0.8859591298615689}	{'accuracy': 0.8341323106423778}
0.0025	1090.0	365150	1.6817	{'f1': 0.8824289405684754}	{'accuracy': 0.825503355704698}
0.0025	1091.0	365485	1.5962	{'f1': 0.8849441157133465}	{'accuracy': 0.8322147651006712}
0.0027	1092.0	365820	1.6261	{'f1': 0.8827037773359842}	{'accuracy': 0.8302972195589645}
0.0023	1093.0	366155	1.6884	{'f1': 0.8865845755022683}	{'accuracy': 0.8322147651006712}
0.0023	1094.0	366490	1.6529	{'f1': 0.8865710560625816}	{'accuracy': 0.8331735378715245}
0.0048	1095.0	366825	1.6021	{'f1': 0.8860927152317881}	{'accuracy': 0.835091083413231}
0.0043	1096.0	367160	1.6417	{'f1': 0.8864229765013055}	{'accuracy': 0.8331735378715245}
0.0043	1097.0	367495	1.5660	{'f1': 0.8859591298615689}	{'accuracy': 0.8341323106423778}
0.0036	1098.0	367830	1.5302	{'f1': 0.885486018641811}	{'accuracy': 0.835091083413231}
0.0025	1099.0	368165	1.5780	{'f1': 0.8856382978723404}	{'accuracy': 0.835091083413231}
0.0034	1100.0	368500	1.6380	{'f1': 0.8813559322033898}	{'accuracy': 0.825503355704698}
0.0034	1101.0	368835	1.5353	{'f1': 0.8877076411960134}	{'accuracy': 0.837967401725791}
0.0028	1102.0	369170	1.5930	{'f1': 0.8850952068286276}	{'accuracy': 0.8322147651006712}
0.0016	1103.0	369505	1.6172	{'f1': 0.8843892880470282}	{'accuracy': 0.8302972195589645}
0.0016	1104.0	369840	1.6414	{'f1': 0.8843892880470282}	{'accuracy': 0.8302972195589645}
0.0027	1105.0	370175	1.6066	{'f1': 0.8848167539267016}	{'accuracy': 0.8312559923298178}
0.003	1106.0	370510	1.6791	{'f1': 0.8868660598179455}	{'accuracy': 0.8331735378715245}
0.003	1107.0	370845	1.6333	{'f1': 0.8833551769331585}	{'accuracy': 0.8293384467881112}
0.0047	1108.0	371180	1.5901	{'f1': 0.8875661375661376}	{'accuracy': 0.8370086289549377}
0.0045	1109.0	371515	1.5836	{'f1': 0.8865573770491804}	{'accuracy': 0.8341323106423778}
0.0045	1110.0	371850	1.5848	{'f1': 0.8871391076115486}	{'accuracy': 0.835091083413231}
0.0027	1111.0	372185	1.5712	{'f1': 0.8864229765013055}	{'accuracy': 0.8331735378715245}
0.0036	1112.0	372520	1.6526	{'f1': 0.8852883992222943}	{'accuracy': 0.8302972195589645}
0.0036	1113.0	372855	1.5732	{'f1': 0.8881578947368421}	{'accuracy': 0.8370086289549377}
0.0039	1114.0	373190	1.5640	{'f1': 0.8906455862977603}	{'accuracy': 0.840843720038351}
0.0042	1115.0	373525	1.5411	{'f1': 0.8887417218543047}	{'accuracy': 0.8389261744966443}
0.0042	1116.0	373860	1.5553	{'f1': 0.889920424403183}	{'accuracy': 0.840843720038351}
0.002	1117.0	374195	1.6430	{'f1': 0.8839922229423202}	{'accuracy': 0.8283796740172579}
0.003	1118.0	374530	1.5749	{'f1': 0.8885959129861568}	{'accuracy': 0.837967401725791}
0.003	1119.0	374865	1.6465	{'f1': 0.8861418347430059}	{'accuracy': 0.8322147651006712}
0.0028	1120.0	375200	1.6485	{'f1': 0.8838416612589227}	{'accuracy': 0.8283796740172579}
0.0022	1121.0	375535	1.6010	{'f1': 0.8850952068286276}	{'accuracy': 0.8322147651006712}
0.0022	1122.0	375870	1.6192	{'f1': 0.8871391076115486}	{'accuracy': 0.835091083413231}
0.0031	1123.0	376205	1.5876	{'f1': 0.8865435356200528}	{'accuracy': 0.835091083413231}
0.0014	1124.0	376540	1.6109	{'f1': 0.8853754940711462}	{'accuracy': 0.8331735378715245}
0.0014	1125.0	376875	1.6595	{'f1': 0.8865710560625816}	{'accuracy': 0.8331735378715245}
0.0018	1126.0	377210	1.5596	{'f1': 0.8897795591182364}	{'accuracy': 0.8418024928092043}
0.0024	1127.0	377545	1.6213	{'f1': 0.8863936591809775}	{'accuracy': 0.835091083413231}
0.0024	1128.0	377880	1.5969	{'f1': 0.8842809364548496}	{'accuracy': 0.8341323106423778}
0.0024	1129.0	378215	1.5904	{'f1': 0.885887913571911}	{'accuracy': 0.837967401725791}
0.0032	1130.0	378550	1.7256	{'f1': 0.8862897985705004}	{'accuracy': 0.8322147651006712}
0.0032	1131.0	378885	1.8606	{'f1': 0.8789237668161436}	{'accuracy': 0.8187919463087249}
0.0019	1132.0	379220	1.7037	{'f1': 0.8850726552179656}	{'accuracy': 0.8331735378715245}
0.0026	1133.0	379555	1.7805	{'f1': 0.8845401174168297}	{'accuracy': 0.8302972195589645}
0.0026	1134.0	379890	1.8544	{'f1': 0.8815958815958816}	{'accuracy': 0.8235858101629914}
0.0028	1135.0	380225	1.7224	{'f1': 0.883322346736981}	{'accuracy': 0.8302972195589645}
0.0018	1136.0	380560	1.8129	{'f1': 0.8838416612589227}	{'accuracy': 0.8283796740172579}
0.0018	1137.0	380895	1.6931	{'f1': 0.885506287227002}	{'accuracy': 0.8341323106423778}
0.003	1138.0	381230	1.7690	{'f1': 0.8831168831168831}	{'accuracy': 0.8274209012464045}
0.003	1139.0	381565	1.7252	{'f1': 0.886408404464872}	{'accuracy': 0.8341323106423778}
0.003	1140.0	381900	1.7165	{'f1': 0.8846407382992749}	{'accuracy': 0.8322147651006712}
0.0018	1141.0	382235	1.7154	{'f1': 0.8877216021011162}	{'accuracy': 0.8360498561840843}
0.0027	1142.0	382570	1.6908	{'f1': 0.8821192052980134}	{'accuracy': 0.8293384467881112}
0.0027	1143.0	382905	1.7904	{'f1': 0.8852883992222943}	{'accuracy': 0.8302972195589645}
0.0021	1144.0	383240	1.8250	{'f1': 0.8825806451612904}	{'accuracy': 0.825503355704698}
0.0016	1145.0	383575	1.6276	{'f1': 0.8877005347593583}	{'accuracy': 0.8389261744966443}
0.0016	1146.0	383910	1.6543	{'f1': 0.8875661375661376}	{'accuracy': 0.8370086289549377}
0.0039	1147.0	384245	1.6855	{'f1': 0.8847926267281107}	{'accuracy': 0.8322147651006712}
0.0015	1148.0	384580	1.7470	{'f1': 0.8880157170923381}	{'accuracy': 0.8360498561840843}
0.0015	1149.0	384915	1.7802	{'f1': 0.8836907082521118}	{'accuracy': 0.8283796740172579}
0.0016	1150.0	385250	1.7562	{'f1': 0.8851174934725848}	{'accuracy': 0.8312559923298178}
0.0018	1151.0	385585	1.7715	{'f1': 0.8856956237753103}	{'accuracy': 0.8322147651006712}
0.0018	1152.0	385920	1.7989	{'f1': 0.8842652795838754}	{'accuracy': 0.8293384467881112}
0.0019	1153.0	386255	1.8137	{'f1': 0.8851395197923426}	{'accuracy': 0.8302972195589645}
0.0042	1154.0	386590	1.7496	{'f1': 0.8858267716535433}	{'accuracy': 0.8331735378715245}
0.0042	1155.0	386925	1.7889	{'f1': 0.8836601307189542}	{'accuracy': 0.8293384467881112}
0.003	1156.0	387260	1.6654	{'f1': 0.8856576338400529}	{'accuracy': 0.8341323106423778}
0.0027	1157.0	387595	1.9299	{'f1': 0.8777070063694268}	{'accuracy': 0.8159156279961649}
0.0027	1158.0	387930	1.6656	{'f1': 0.8861092824226466}	{'accuracy': 0.8341323106423778}
0.0044	1159.0	388265	1.7469	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0026	1160.0	388600	1.7098	{'f1': 0.8836601307189542}	{'accuracy': 0.8293384467881112}
0.0026	1161.0	388935	1.7530	{'f1': 0.8826597131681878}	{'accuracy': 0.8274209012464045}
0.0017	1162.0	389270	1.7884	{'f1': 0.8809831824062095}	{'accuracy': 0.8235858101629914}
0.0028	1163.0	389605	1.7387	{'f1': 0.8848167539267016}	{'accuracy': 0.8312559923298178}
0.0028	1164.0	389940	1.7094	{'f1': 0.8852242744063324}	{'accuracy': 0.8331735378715245}
0.0027	1165.0	390275	1.8461	{'f1': 0.8811817597944765}	{'accuracy': 0.822627037392138}
0.0037	1166.0	390610	1.7538	{'f1': 0.8827766863130322}	{'accuracy': 0.8283796740172579}
0.0037	1167.0	390945	1.7664	{'f1': 0.8826597131681878}	{'accuracy': 0.8274209012464045}
0.0016	1168.0	391280	1.7127	{'f1': 0.8811556139198949}	{'accuracy': 0.8264621284755513}
0.0028	1169.0	391615	1.7404	{'f1': 0.8816219751471549}	{'accuracy': 0.8264621284755513}
0.0028	1170.0	391950	1.6900	{'f1': 0.8840579710144927}	{'accuracy': 0.8312559923298178}
0.0024	1171.0	392285	1.6964	{'f1': 0.8849441157133465}	{'accuracy': 0.8322147651006712}
0.0023	1172.0	392620	1.7047	{'f1': 0.8849441157133465}	{'accuracy': 0.8322147651006712}
0.0023	1173.0	392955	1.7315	{'f1': 0.8842652795838754}	{'accuracy': 0.8293384467881112}
0.0031	1174.0	393290	1.6667	{'f1': 0.8871287128712871}	{'accuracy': 0.8360498561840843}
0.0017	1175.0	393625	1.7351	{'f1': 0.8838120104438641}	{'accuracy': 0.8293384467881112}
0.0017	1176.0	393960	1.7235	{'f1': 0.8861256544502618}	{'accuracy': 0.8331735378715245}
0.0021	1177.0	394295	1.6348	{'f1': 0.885486018641811}	{'accuracy': 0.835091083413231}
0.0058	1178.0	394630	1.6370	{'f1': 0.8852023888520238}	{'accuracy': 0.8341323106423778}
0.0058	1179.0	394965	1.6521	{'f1': 0.8835662009314704}	{'accuracy': 0.8322147651006712}
0.002	1180.0	395300	1.6771	{'f1': 0.8852242744063324}	{'accuracy': 0.8331735378715245}
0.0045	1181.0	395635	1.6599	{'f1': 0.8851174934725848}	{'accuracy': 0.8312559923298178}
0.0045	1182.0	395970	1.6023	{'f1': 0.8840291583830351}	{'accuracy': 0.8322147651006712}
0.0018	1183.0	396305	1.6570	{'f1': 0.8872870249017039}	{'accuracy': 0.835091083413231}
0.0023	1184.0	396640	1.7207	{'f1': 0.8809831824062095}	{'accuracy': 0.8235858101629914}
0.0023	1185.0	396975	1.6423	{'f1': 0.888597640891219}	{'accuracy': 0.8370086289549377}
0.0021	1186.0	397310	1.6735	{'f1': 0.8843892880470282}	{'accuracy': 0.8302972195589645}
0.0035	1187.0	397645	1.6051	{'f1': 0.8866930171277998}	{'accuracy': 0.835091083413231}
0.0035	1188.0	397980	1.7041	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0018	1189.0	398315	1.6708	{'f1': 0.885396201702685}	{'accuracy': 0.8322147651006712}
0.0022	1190.0	398650	1.6910	{'f1': 0.8839634941329856}	{'accuracy': 0.8293384467881112}
0.0022	1191.0	398985	1.5801	{'f1': 0.888443553774215}	{'accuracy': 0.8398849472674976}
0.003	1192.0	399320	1.7103	{'f1': 0.8842380640941793}	{'accuracy': 0.8302972195589645}
0.0028	1193.0	399655	1.7610	{'f1': 0.8822381262199089}	{'accuracy': 0.8264621284755513}
0.0028	1194.0	399990	1.6810	{'f1': 0.8875739644970414}	{'accuracy': 0.8360498561840843}
0.0018	1195.0	400325	1.6908	{'f1': 0.8869908015768725}	{'accuracy': 0.835091083413231}
0.0017	1196.0	400660	1.7498	{'f1': 0.8843892880470282}	{'accuracy': 0.8302972195589645}
0.0017	1197.0	400995	1.7100	{'f1': 0.8858085808580859}	{'accuracy': 0.8341323106423778}
0.0031	1198.0	401330	1.7323	{'f1': 0.8875739644970414}	{'accuracy': 0.8360498561840843}
0.0015	1199.0	401665	1.8114	{'f1': 0.8861418347430059}	{'accuracy': 0.8322147651006712}
0.0027	1200.0	402000	1.7582	{'f1': 0.8843892880470282}	{'accuracy': 0.8302972195589645}
0.0027	1201.0	402335	1.6836	{'f1': 0.8896276595744681}	{'accuracy': 0.840843720038351}
0.0028	1202.0	402670	1.7912	{'f1': 0.8848405985686402}	{'accuracy': 0.8302972195589645}
0.0028	1203.0	403005	1.8033	{'f1': 0.8836907082521118}	{'accuracy': 0.8283796740172579}
0.0028	1204.0	403340	1.7985	{'f1': 0.8836907082521118}	{'accuracy': 0.8283796740172579}
0.0019	1205.0	403675	1.7905	{'f1': 0.8851174934725848}	{'accuracy': 0.8312559923298178}
0.0032	1206.0	404010	1.7356	{'f1': 0.886408404464872}	{'accuracy': 0.8341323106423778}
0.0032	1207.0	404345	1.6976	{'f1': 0.8855461085676913}	{'accuracy': 0.8322147651006712}
0.0044	1208.0	404680	1.7209	{'f1': 0.8858447488584474}	{'accuracy': 0.8322147651006712}
0.0016	1209.0	405015	1.7403	{'f1': 0.8841145833333333}	{'accuracy': 0.8293384467881112}
0.0016	1210.0	405350	1.6621	{'f1': 0.8858085808580859}	{'accuracy': 0.8341323106423778}
0.0032	1211.0	405685	1.7098	{'f1': 0.8872870249017039}	{'accuracy': 0.835091083413231}
0.0022	1212.0	406020	1.6697	{'f1': 0.8863936591809775}	{'accuracy': 0.835091083413231}
0.0022	1213.0	406355	1.7366	{'f1': 0.88296488946684}	{'accuracy': 0.8274209012464045}
0.0025	1214.0	406690	1.6412	{'f1': 0.8887417218543047}	{'accuracy': 0.8389261744966443}
0.0026	1215.0	407025	1.7191	{'f1': 0.8838120104438641}	{'accuracy': 0.8293384467881112}
0.0026	1216.0	407360	1.6733	{'f1': 0.8884514435695539}	{'accuracy': 0.8370086289549377}
0.0035	1217.0	407695	1.7227	{'f1': 0.8855656697009102}	{'accuracy': 0.8312559923298178}
0.0018	1218.0	408030	1.7874	{'f1': 0.883419689119171}	{'accuracy': 0.8274209012464045}
0.0018	1219.0	408365	1.7690	{'f1': 0.8851395197923426}	{'accuracy': 0.8302972195589645}
0.0022	1220.0	408700	1.8313	{'f1': 0.8808757244043787}	{'accuracy': 0.822627037392138}
0.0052	1221.0	409035	1.7186	{'f1': 0.8851174934725848}	{'accuracy': 0.8312559923298178}
0.0052	1222.0	409370	1.7555	{'f1': 0.8812459441920829}	{'accuracy': 0.8245445829338447}
0.0039	1223.0	409705	1.7314	{'f1': 0.8798955613577023}	{'accuracy': 0.8235858101629914}
0.0031	1224.0	410040	1.6025	{'f1': 0.8877005347593583}	{'accuracy': 0.8389261744966443}
0.0031	1225.0	410375	1.6785	{'f1': 0.886259040105194}	{'accuracy': 0.8341323106423778}
0.0018	1226.0	410710	1.8083	{'f1': 0.8803088803088803}	{'accuracy': 0.8216682646212847}
0.0018	1227.0	411045	1.6697	{'f1': 0.8832555036691127}	{'accuracy': 0.8322147651006712}
0.0018	1228.0	411380	1.7528	{'f1': 0.8828125}	{'accuracy': 0.8274209012464045}
0.0034	1229.0	411715	1.7647	{'f1': 0.881664499349805}	{'accuracy': 0.825503355704698}
0.0016	1230.0	412050	1.7080	{'f1': 0.886259040105194}	{'accuracy': 0.8341323106423778}
0.0016	1231.0	412385	1.7002	{'f1': 0.8866930171277998}	{'accuracy': 0.835091083413231}
0.0018	1232.0	412720	1.7542	{'f1': 0.8858447488584474}	{'accuracy': 0.8322147651006712}
0.0034	1233.0	413055	1.7277	{'f1': 0.8841145833333333}	{'accuracy': 0.8293384467881112}
0.0034	1234.0	413390	1.6909	{'f1': 0.8859764089121887}	{'accuracy': 0.8331735378715245}
0.0015	1235.0	413725	1.7052	{'f1': 0.8848405985686402}	{'accuracy': 0.8302972195589645}
0.0025	1236.0	414060	1.7913	{'f1': 0.8831504196255648}	{'accuracy': 0.8264621284755513}
0.0025	1237.0	414395	1.7496	{'f1': 0.8861418347430059}	{'accuracy': 0.8322147651006712}
0.0029	1238.0	414730	1.6863	{'f1': 0.8890347997373604}	{'accuracy': 0.837967401725791}
0.0027	1239.0	415065	1.7087	{'f1': 0.8805681084570691}	{'accuracy': 0.822627037392138}
0.0027	1240.0	415400	1.5965	{'f1': 0.8891820580474935}	{'accuracy': 0.8389261744966443}
0.0054	1241.0	415735	1.6261	{'f1': 0.887434554973822}	{'accuracy': 0.835091083413231}
0.0017	1242.0	416070	1.5655	{'f1': 0.888888888888889}	{'accuracy': 0.8389261744966443}
0.0017	1243.0	416405	1.5952	{'f1': 0.8884488448844885}	{'accuracy': 0.837967401725791}
0.0033	1244.0	416740	1.6296	{'f1': 0.8875816993464052}	{'accuracy': 0.835091083413231}
0.0029	1245.0	417075	1.6133	{'f1': 0.8883048620236531}	{'accuracy': 0.8370086289549377}
0.0029	1246.0	417410	1.6047	{'f1': 0.8878627968337731}	{'accuracy': 0.8370086289549377}
0.0021	1247.0	417745	1.7268	{'f1': 0.8835705045278138}	{'accuracy': 0.8274209012464045}
0.0022	1248.0	418080	1.6843	{'f1': 0.8854166666666666}	{'accuracy': 0.8312559923298178}
0.0022	1249.0	418415	1.6683	{'f1': 0.8875816993464052}	{'accuracy': 0.835091083413231}
0.0027	1250.0	418750	1.6704	{'f1': 0.8881621975147155}	{'accuracy': 0.8360498561840843}
0.0022	1251.0	419085	1.7550	{'f1': 0.8833010960670536}	{'accuracy': 0.8264621284755513}
0.0022	1252.0	419420	1.6882	{'f1': 0.8865710560625816}	{'accuracy': 0.8331735378715245}
0.004	1253.0	419755	1.6692	{'f1': 0.8868541530412034}	{'accuracy': 0.8341323106423778}
0.0022	1254.0	420090	1.6207	{'f1': 0.8853333333333333}	{'accuracy': 0.835091083413231}
0.0022	1255.0	420425	1.6777	{'f1': 0.8872964169381107}	{'accuracy': 0.8341323106423778}
0.0016	1256.0	420760	1.6322	{'f1': 0.8885941644562333}	{'accuracy': 0.8389261744966443}
0.0021	1257.0	421095	1.6463	{'f1': 0.8880105401844532}	{'accuracy': 0.8370086289549377}
0.0021	1258.0	421430	1.6737	{'f1': 0.8884540117416829}	{'accuracy': 0.8360498561840843}
0.0023	1259.0	421765	1.6487	{'f1': 0.8890347997373604}	{'accuracy': 0.837967401725791}
0.0034	1260.0	422100	1.6921	{'f1': 0.8865710560625816}	{'accuracy': 0.8331735378715245}
0.0034	1261.0	422435	1.5953	{'f1': 0.8887408394403731}	{'accuracy': 0.8398849472674976}
0.0045	1262.0	422770	1.7129	{'f1': 0.8845654993514916}	{'accuracy': 0.8293384467881112}
0.0017	1263.0	423105	1.7699	{'f1': 0.8811369509043928}	{'accuracy': 0.8235858101629914}
0.0017	1264.0	423440	1.6435	{'f1': 0.8875816993464052}	{'accuracy': 0.835091083413231}
0.0024	1265.0	423775	1.7540	{'f1': 0.8808757244043787}	{'accuracy': 0.822627037392138}
0.0042	1266.0	424110	1.6861	{'f1': 0.8858625162127108}	{'accuracy': 0.8312559923298178}
0.0042	1267.0	424445	1.6125	{'f1': 0.8858267716535433}	{'accuracy': 0.8331735378715245}
0.004	1268.0	424780	1.6888	{'f1': 0.8839922229423202}	{'accuracy': 0.8283796740172579}
0.0015	1269.0	425115	1.6839	{'f1': 0.883419689119171}	{'accuracy': 0.8274209012464045}
0.0015	1270.0	425450	1.6722	{'f1': 0.8836907082521118}	{'accuracy': 0.8283796740172579}
0.0029	1271.0	425785	1.6979	{'f1': 0.8838416612589227}	{'accuracy': 0.8283796740172579}
0.0024	1272.0	426120	1.5824	{'f1': 0.8862433862433863}	{'accuracy': 0.835091083413231}
0.0024	1273.0	426455	1.7985	{'f1': 0.8787684413085312}	{'accuracy': 0.8187919463087249}
0.0044	1274.0	426790	1.6429	{'f1': 0.8830486202365309}	{'accuracy': 0.8293384467881112}
0.0025	1275.0	427125	1.5866	{'f1': 0.8860759493670886}	{'accuracy': 0.8360498561840843}
0.0025	1276.0	427460	1.7528	{'f1': 0.8792769528728211}	{'accuracy': 0.8207094918504314}
0.0028	1277.0	427795	1.8184	{'f1': 0.8780487804878049}	{'accuracy': 0.8178331735378715}
0.0016	1278.0	428130	1.7036	{'f1': 0.8820445609436436}	{'accuracy': 0.8274209012464045}
0.0016	1279.0	428465	1.7409	{'f1': 0.8800521512385918}	{'accuracy': 0.8235858101629914}
0.0022	1280.0	428800	1.7406	{'f1': 0.8780169602087411}	{'accuracy': 0.8207094918504314}
0.0039	1281.0	429135	1.6932	{'f1': 0.8804702808621816}	{'accuracy': 0.8245445829338447}
0.0039	1282.0	429470	1.6137	{'f1': 0.8853545394300861}	{'accuracy': 0.8341323106423778}
0.0026	1283.0	429805	1.7429	{'f1': 0.8790637191157347}	{'accuracy': 0.8216682646212847}
0.0017	1284.0	430140	1.6462	{'f1': 0.8860927152317881}	{'accuracy': 0.835091083413231}
0.0017	1285.0	430475	1.6180	{'f1': 0.8874083944037308}	{'accuracy': 0.837967401725791}
0.0024	1286.0	430810	1.7098	{'f1': 0.8816219751471549}	{'accuracy': 0.8264621284755513}
0.0015	1287.0	431145	1.6675	{'f1': 0.8856382978723404}	{'accuracy': 0.835091083413231}
0.0015	1288.0	431480	1.6877	{'f1': 0.8844884488448844}	{'accuracy': 0.8322147651006712}
0.0033	1289.0	431815	1.7807	{'f1': 0.8799480856586632}	{'accuracy': 0.822627037392138}
0.0045	1290.0	432150	1.7126	{'f1': 0.8797920727745288}	{'accuracy': 0.822627037392138}
0.0045	1291.0	432485	1.6483	{'f1': 0.8806262230919765}	{'accuracy': 0.8245445829338447}
0.0055	1292.0	432820	1.7432	{'f1': 0.8798449612403101}	{'accuracy': 0.8216682646212847}
0.0035	1293.0	433155	1.6595	{'f1': 0.8797920727745288}	{'accuracy': 0.822627037392138}
0.0035	1294.0	433490	1.6534	{'f1': 0.8802083333333333}	{'accuracy': 0.8235858101629914}
0.0024	1295.0	433825	1.5400	{'f1': 0.8856382978723404}	{'accuracy': 0.835091083413231}
0.0025	1296.0	434160	1.5690	{'f1': 0.8863936591809775}	{'accuracy': 0.835091083413231}
0.0025	1297.0	434495	1.6632	{'f1': 0.8842652795838754}	{'accuracy': 0.8293384467881112}
0.0019	1298.0	434830	1.6372	{'f1': 0.8832354859752121}	{'accuracy': 0.8283796740172579}
0.0021	1299.0	435165	1.6924	{'f1': 0.881399870382372}	{'accuracy': 0.8245445829338447}
0.002	1300.0	435500	1.6588	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.002	1301.0	435835	1.6316	{'f1': 0.8832020997375328}	{'accuracy': 0.8293384467881112}
0.0016	1302.0	436170	1.5885	{'f1': 0.8866930171277998}	{'accuracy': 0.835091083413231}
0.0025	1303.0	436505	1.6519	{'f1': 0.8839634941329856}	{'accuracy': 0.8293384467881112}
0.0025	1304.0	436840	1.6364	{'f1': 0.8848167539267016}	{'accuracy': 0.8312559923298178}
0.0027	1305.0	437175	1.6846	{'f1': 0.8851395197923426}	{'accuracy': 0.8302972195589645}
0.0019	1306.0	437510	1.6704	{'f1': 0.8848405985686402}	{'accuracy': 0.8302972195589645}
0.0019	1307.0	437845	1.6993	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0019	1308.0	438180	1.6955	{'f1': 0.8849902534113061}	{'accuracy': 0.8302972195589645}
0.0017	1309.0	438515	1.6855	{'f1': 0.88671875}	{'accuracy': 0.8331735378715245}
0.0017	1310.0	438850	1.6172	{'f1': 0.8877146631439895}	{'accuracy': 0.8370086289549377}
0.0021	1311.0	439185	1.7192	{'f1': 0.8844415752098128}	{'accuracy': 0.8283796740172579}
0.0035	1312.0	439520	1.6323	{'f1': 0.8875816993464052}	{'accuracy': 0.835091083413231}
0.0035	1313.0	439855	1.6781	{'f1': 0.8825806451612904}	{'accuracy': 0.825503355704698}
0.0049	1314.0	440190	1.6834	{'f1': 0.8812903225806452}	{'accuracy': 0.8235858101629914}
0.0016	1315.0	440525	1.6194	{'f1': 0.8852459016393444}	{'accuracy': 0.8322147651006712}
0.0016	1316.0	440860	1.6558	{'f1': 0.8849902534113061}	{'accuracy': 0.8302972195589645}
0.0027	1317.0	441195	1.6291	{'f1': 0.8875816993464052}	{'accuracy': 0.835091083413231}
0.0026	1318.0	441530	1.6082	{'f1': 0.8880157170923381}	{'accuracy': 0.8360498561840843}
0.0026	1319.0	441865	1.6212	{'f1': 0.8871391076115486}	{'accuracy': 0.835091083413231}
0.0017	1320.0	442200	1.6341	{'f1': 0.8853754940711462}	{'accuracy': 0.8331735378715245}
0.0026	1321.0	442535	1.6350	{'f1': 0.8847926267281107}	{'accuracy': 0.8322147651006712}
0.0026	1322.0	442870	1.7476	{'f1': 0.8842921784098255}	{'accuracy': 0.8283796740172579}
0.0021	1323.0	443205	1.6486	{'f1': 0.8831683168316831}	{'accuracy': 0.8302972195589645}
0.0023	1324.0	443540	1.6302	{'f1': 0.8834110592938041}	{'accuracy': 0.8322147651006712}
0.0023	1325.0	443875	1.6211	{'f1': 0.8843892880470282}	{'accuracy': 0.8302972195589645}
0.0065	1326.0	444210	1.6836	{'f1': 0.8839922229423202}	{'accuracy': 0.8283796740172579}
0.0017	1327.0	444545	1.7053	{'f1': 0.8837209302325582}	{'accuracy': 0.8274209012464045}
0.0017	1328.0	444880	1.6363	{'f1': 0.8864229765013055}	{'accuracy': 0.8331735378715245}
0.0018	1329.0	445215	1.6145	{'f1': 0.8849206349206349}	{'accuracy': 0.8331735378715245}
0.0016	1330.0	445550	1.6352	{'f1': 0.8885959129861568}	{'accuracy': 0.837967401725791}
0.0016	1331.0	445885	1.7131	{'f1': 0.8842652795838754}	{'accuracy': 0.8293384467881112}
0.0016	1332.0	446220	1.7232	{'f1': 0.88296488946684}	{'accuracy': 0.8274209012464045}
0.0016	1333.0	446555	1.7374	{'f1': 0.8823911630929175}	{'accuracy': 0.8264621284755513}
0.0016	1334.0	446890	1.7155	{'f1': 0.88296488946684}	{'accuracy': 0.8274209012464045}
0.0023	1335.0	447225	1.6580	{'f1': 0.8855263157894737}	{'accuracy': 0.8331735378715245}
0.0019	1336.0	447560	1.7162	{'f1': 0.8852672750977836}	{'accuracy': 0.8312559923298178}
0.0019	1337.0	447895	1.6501	{'f1': 0.8871287128712871}	{'accuracy': 0.8360498561840843}
0.002	1338.0	448230	1.7218	{'f1': 0.884967320261438}	{'accuracy': 0.8312559923298178}
0.0025	1339.0	448565	1.6827	{'f1': 0.8855263157894737}	{'accuracy': 0.8331735378715245}
0.0025	1340.0	448900	1.6526	{'f1': 0.8865435356200528}	{'accuracy': 0.835091083413231}
0.0029	1341.0	449235	1.7285	{'f1': 0.882084690553746}	{'accuracy': 0.8264621284755513}
0.0025	1342.0	449570	1.6702	{'f1': 0.8846407382992749}	{'accuracy': 0.8322147651006712}
0.0025	1343.0	449905	1.6957	{'f1': 0.8828947368421053}	{'accuracy': 0.8293384467881112}
0.0039	1344.0	450240	1.7932	{'f1': 0.8809831824062095}	{'accuracy': 0.8235858101629914}
0.0014	1345.0	450575	1.7826	{'f1': 0.8831168831168831}	{'accuracy': 0.8274209012464045}
0.0014	1346.0	450910	1.7107	{'f1': 0.8847926267281107}	{'accuracy': 0.8322147651006712}
0.0018	1347.0	451245	1.7978	{'f1': 0.8825438027255029}	{'accuracy': 0.8264621284755513}
0.0024	1348.0	451580	1.7309	{'f1': 0.8852459016393444}	{'accuracy': 0.8322147651006712}
0.0024	1349.0	451915	1.7335	{'f1': 0.8875816993464052}	{'accuracy': 0.835091083413231}
0.0036	1350.0	452250	1.8606	{'f1': 0.8784565916398713}	{'accuracy': 0.8187919463087249}
0.004	1351.0	452585	1.7247	{'f1': 0.8870019595035924}	{'accuracy': 0.8341323106423778}
0.004	1352.0	452920	1.7836	{'f1': 0.8836907082521118}	{'accuracy': 0.8283796740172579}
0.0024	1353.0	453255	1.6424	{'f1': 0.8852023888520238}	{'accuracy': 0.8341323106423778}
0.0032	1354.0	453590	1.8401	{'f1': 0.8786127167630058}	{'accuracy': 0.8187919463087249}
0.0032	1355.0	453925	1.7008	{'f1': 0.8871391076115486}	{'accuracy': 0.835091083413231}
0.0022	1356.0	454260	1.8063	{'f1': 0.8800000000000001}	{'accuracy': 0.8216682646212847}
0.0015	1357.0	454595	1.7254	{'f1': 0.886408404464872}	{'accuracy': 0.8341323106423778}
0.0015	1358.0	454930	1.7392	{'f1': 0.8871391076115486}	{'accuracy': 0.835091083413231}
0.0015	1359.0	455265	1.7593	{'f1': 0.8805194805194805}	{'accuracy': 0.8235858101629914}
0.0035	1360.0	455600	1.7062	{'f1': 0.8850952068286276}	{'accuracy': 0.8322147651006712}
0.0035	1361.0	455935	1.8376	{'f1': 0.8771704180064309}	{'accuracy': 0.8168744007670182}
0.0015	1362.0	456270	1.8939	{'f1': 0.8753993610223643}	{'accuracy': 0.8130393096836049}
0.002	1363.0	456605	1.8197	{'f1': 0.8783000643915004}	{'accuracy': 0.8187919463087249}
0.002	1364.0	456940	1.6470	{'f1': 0.8877146631439895}	{'accuracy': 0.8370086289549377}
0.0037	1365.0	457275	1.6349	{'f1': 0.8896232650363516}	{'accuracy': 0.8398849472674976}
0.0015	1366.0	457610	1.8006	{'f1': 0.8822768434670116}	{'accuracy': 0.825503355704698}
0.0015	1367.0	457945	1.6868	{'f1': 0.8883048620236531}	{'accuracy': 0.8370086289549377}
0.0021	1368.0	458280	1.7300	{'f1': 0.8855461085676913}	{'accuracy': 0.8322147651006712}
0.0016	1369.0	458615	1.6886	{'f1': 0.8906455862977603}	{'accuracy': 0.840843720038351}
0.0016	1370.0	458950	1.7364	{'f1': 0.8878748370273793}	{'accuracy': 0.835091083413231}
0.004	1371.0	459285	1.6351	{'f1': 0.8906560636182903}	{'accuracy': 0.8418024928092043}
0.0026	1372.0	459620	1.6329	{'f1': 0.8906560636182903}	{'accuracy': 0.8418024928092043}
0.0026	1373.0	459955	1.7231	{'f1': 0.8859934853420196}	{'accuracy': 0.8322147651006712}
0.0022	1374.0	460290	1.6809	{'f1': 0.8885959129861568}	{'accuracy': 0.837967401725791}
0.0016	1375.0	460625	1.7033	{'f1': 0.886259040105194}	{'accuracy': 0.8341323106423778}
0.0016	1376.0	460960	1.8204	{'f1': 0.8798449612403101}	{'accuracy': 0.8216682646212847}
0.0034	1377.0	461295	1.8108	{'f1': 0.8815533980582524}	{'accuracy': 0.8245445829338447}
0.0028	1378.0	461630	1.6920	{'f1': 0.888597640891219}	{'accuracy': 0.8370086289549377}
0.0028	1379.0	461965	1.7447	{'f1': 0.8833876221498371}	{'accuracy': 0.8283796740172579}
0.0014	1380.0	462300	1.7324	{'f1': 0.8858447488584474}	{'accuracy': 0.8322147651006712}
0.0042	1381.0	462635	1.7074	{'f1': 0.8897637795275591}	{'accuracy': 0.8389261744966443}
0.0042	1382.0	462970	1.7171	{'f1': 0.884967320261438}	{'accuracy': 0.8312559923298178}
0.0034	1383.0	463305	1.6497	{'f1': 0.8877146631439895}	{'accuracy': 0.8370086289549377}
0.0026	1384.0	463640	1.7298	{'f1': 0.8828125}	{'accuracy': 0.8274209012464045}
0.0026	1385.0	463975	1.7965	{'f1': 0.8808290155440415}	{'accuracy': 0.8235858101629914}
0.0016	1386.0	464310	1.6762	{'f1': 0.8877146631439895}	{'accuracy': 0.8370086289549377}
0.0023	1387.0	464645	1.6887	{'f1': 0.8844621513944223}	{'accuracy': 0.8331735378715245}
0.0023	1388.0	464980	1.6969	{'f1': 0.8890347997373604}	{'accuracy': 0.837967401725791}
0.0025	1389.0	465315	1.7113	{'f1': 0.8878688524590164}	{'accuracy': 0.8360498561840843}
0.0022	1390.0	465650	1.7995	{'f1': 0.8837209302325582}	{'accuracy': 0.8274209012464045}
0.0022	1391.0	465985	1.6902	{'f1': 0.8863936591809775}	{'accuracy': 0.835091083413231}
0.0027	1392.0	466320	1.7445	{'f1': 0.8839634941329856}	{'accuracy': 0.8293384467881112}
0.0025	1393.0	466655	1.8855	{'f1': 0.8782051282051283}	{'accuracy': 0.8178331735378715}
0.0025	1394.0	466990	1.7956	{'f1': 0.8832684824902725}	{'accuracy': 0.8274209012464045}
0.003	1395.0	467325	1.7950	{'f1': 0.8821243523316061}	{'accuracy': 0.825503355704698}
0.0023	1396.0	467660	1.7919	{'f1': 0.8831168831168831}	{'accuracy': 0.8274209012464045}
0.0023	1397.0	467995	1.9467	{'f1': 0.8759590792838876}	{'accuracy': 0.8139980824544583}
0.0033	1398.0	468330	1.7958	{'f1': 0.8831504196255648}	{'accuracy': 0.8264621284755513}
0.005	1399.0	468665	1.6945	{'f1': 0.8858447488584474}	{'accuracy': 0.8322147651006712}
0.0031	1400.0	469000	1.7097	{'f1': 0.8858447488584474}	{'accuracy': 0.8322147651006712}
0.0031	1401.0	469335	1.7022	{'f1': 0.8854166666666666}	{'accuracy': 0.8312559923298178}
0.0016	1402.0	469670	1.7029	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0062	1403.0	470005	1.6040	{'f1': 0.8844621513944223}	{'accuracy': 0.8331735378715245}
0.0062	1404.0	470340	1.6532	{'f1': 0.8856767411300921}	{'accuracy': 0.8331735378715245}
0.0014	1405.0	470675	1.6692	{'f1': 0.886408404464872}	{'accuracy': 0.8341323106423778}
0.0022	1406.0	471010	1.7241	{'f1': 0.8855656697009102}	{'accuracy': 0.8312559923298178}
0.0022	1407.0	471345	1.7169	{'f1': 0.8872964169381107}	{'accuracy': 0.8341323106423778}
0.0026	1408.0	471680	1.6779	{'f1': 0.885396201702685}	{'accuracy': 0.8322147651006712}
0.0032	1409.0	472015	1.6913	{'f1': 0.8843892880470282}	{'accuracy': 0.8302972195589645}
0.0032	1410.0	472350	1.7031	{'f1': 0.8852672750977836}	{'accuracy': 0.8312559923298178}
0.0014	1411.0	472685	1.6634	{'f1': 0.8883048620236531}	{'accuracy': 0.8370086289549377}
0.0019	1412.0	473020	1.6079	{'f1': 0.884589726484323}	{'accuracy': 0.8341323106423778}
0.0019	1413.0	473355	1.6821	{'f1': 0.8872870249017039}	{'accuracy': 0.835091083413231}
0.0031	1414.0	473690	1.6891	{'f1': 0.8872870249017039}	{'accuracy': 0.835091083413231}
0.002	1415.0	474025	1.7140	{'f1': 0.8868541530412034}	{'accuracy': 0.8341323106423778}
0.002	1416.0	474360	1.7157	{'f1': 0.8868541530412034}	{'accuracy': 0.8341323106423778}
0.0017	1417.0	474695	1.7438	{'f1': 0.8859934853420196}	{'accuracy': 0.8322147651006712}
0.0028	1418.0	475030	1.7873	{'f1': 0.8825438027255029}	{'accuracy': 0.8264621284755513}
0.0028	1419.0	475365	1.7354	{'f1': 0.887434554973822}	{'accuracy': 0.835091083413231}
0.0016	1420.0	475700	1.7172	{'f1': 0.8835978835978837}	{'accuracy': 0.8312559923298178}
0.0029	1421.0	476035	1.8101	{'f1': 0.8783958602846055}	{'accuracy': 0.8197507190795782}
0.0029	1422.0	476370	1.7355	{'f1': 0.8839344262295081}	{'accuracy': 0.8302972195589645}
0.0019	1423.0	476705	1.7820	{'f1': 0.88296488946684}	{'accuracy': 0.8274209012464045}
0.0017	1424.0	477040	1.7999	{'f1': 0.880103694102398}	{'accuracy': 0.822627037392138}
0.0017	1425.0	477375	1.8347	{'f1': 0.8819714656290532}	{'accuracy': 0.825503355704698}
0.0014	1426.0	477710	1.7870	{'f1': 0.8842380640941793}	{'accuracy': 0.8302972195589645}
0.0015	1427.0	478045	1.7585	{'f1': 0.8843626806833115}	{'accuracy': 0.8312559923298178}
0.0015	1428.0	478380	1.6916	{'f1': 0.8825481088254811}	{'accuracy': 0.8302972195589645}
0.0027	1429.0	478715	1.7298	{'f1': 0.8849441157133465}	{'accuracy': 0.8322147651006712}
0.0025	1430.0	479050	1.9056	{'f1': 0.8747591522157996}	{'accuracy': 0.8130393096836049}
0.0025	1431.0	479385	1.7934	{'f1': 0.8835393623942747}	{'accuracy': 0.8283796740172579}
0.0034	1432.0	479720	1.7889	{'f1': 0.8841145833333333}	{'accuracy': 0.8293384467881112}
0.0023	1433.0	480055	1.7758	{'f1': 0.8830829523187459}	{'accuracy': 0.8283796740172579}
0.0023	1434.0	480390	1.7555	{'f1': 0.884967320261438}	{'accuracy': 0.8312559923298178}
0.0023	1435.0	480725	1.8154	{'f1': 0.8831168831168831}	{'accuracy': 0.8274209012464045}
0.0017	1436.0	481060	1.7982	{'f1': 0.8828125}	{'accuracy': 0.8274209012464045}
0.0017	1437.0	481395	1.7644	{'f1': 0.8875816993464052}	{'accuracy': 0.835091083413231}
0.0028	1438.0	481730	1.8388	{'f1': 0.8784565916398713}	{'accuracy': 0.8187919463087249}
0.0017	1439.0	482065	1.8311	{'f1': 0.8779857972885732}	{'accuracy': 0.8187919463087249}
0.0017	1440.0	482400	1.7660	{'f1': 0.8843892880470282}	{'accuracy': 0.8302972195589645}
0.0027	1441.0	482735	1.7529	{'f1': 0.8855461085676913}	{'accuracy': 0.8322147651006712}
0.0019	1442.0	483070	1.7477	{'f1': 0.8848167539267016}	{'accuracy': 0.8312559923298178}
0.0019	1443.0	483405	1.7093	{'f1': 0.8869908015768725}	{'accuracy': 0.835091083413231}
0.0022	1444.0	483740	1.6986	{'f1': 0.8875739644970414}	{'accuracy': 0.8360498561840843}
0.0034	1445.0	484075	1.7028	{'f1': 0.8861092824226466}	{'accuracy': 0.8341323106423778}
0.0034	1446.0	484410	1.7117	{'f1': 0.886259040105194}	{'accuracy': 0.8341323106423778}
0.0016	1447.0	484745	1.8179	{'f1': 0.8792769528728211}	{'accuracy': 0.8207094918504314}
0.0026	1448.0	485080	1.6858	{'f1': 0.8839050131926122}	{'accuracy': 0.8312559923298178}
0.0026	1449.0	485415	1.6966	{'f1': 0.8853754940711462}	{'accuracy': 0.8331735378715245}
0.0017	1450.0	485750	1.7809	{'f1': 0.8832684824902725}	{'accuracy': 0.8274209012464045}
0.0028	1451.0	486085	1.6901	{'f1': 0.8847926267281107}	{'accuracy': 0.8322147651006712}
0.0028	1452.0	486420	1.6931	{'f1': 0.8861092824226466}	{'accuracy': 0.8341323106423778}
0.0037	1453.0	486755	1.6848	{'f1': 0.883322346736981}	{'accuracy': 0.8302972195589645}
0.0027	1454.0	487090	1.7625	{'f1': 0.8857142857142858}	{'accuracy': 0.8312559923298178}
0.0027	1455.0	487425	1.7548	{'f1': 0.881664499349805}	{'accuracy': 0.825503355704698}
0.0029	1456.0	487760	1.6995	{'f1': 0.8850952068286276}	{'accuracy': 0.8322147651006712}
0.0017	1457.0	488095	1.7584	{'f1': 0.8828125}	{'accuracy': 0.8274209012464045}
0.0017	1458.0	488430	1.8234	{'f1': 0.8801546391752577}	{'accuracy': 0.8216682646212847}
0.0022	1459.0	488765	1.8236	{'f1': 0.881859264041317}	{'accuracy': 0.8245445829338447}
0.0015	1460.0	489100	1.6924	{'f1': 0.8859591298615689}	{'accuracy': 0.8341323106423778}
0.0015	1461.0	489435	1.7238	{'f1': 0.8865573770491804}	{'accuracy': 0.8341323106423778}
0.0018	1462.0	489770	1.6926	{'f1': 0.8861092824226466}	{'accuracy': 0.8341323106423778}
0.0028	1463.0	490105	1.6881	{'f1': 0.8872775214238628}	{'accuracy': 0.8360498561840843}
0.0028	1464.0	490440	1.7862	{'f1': 0.8822768434670116}	{'accuracy': 0.825503355704698}
0.0021	1465.0	490775	1.6801	{'f1': 0.8880105401844532}	{'accuracy': 0.8370086289549377}
0.0022	1466.0	491110	1.6993	{'f1': 0.8880157170923381}	{'accuracy': 0.8360498561840843}
0.0022	1467.0	491445	1.7852	{'f1': 0.8848641655886158}	{'accuracy': 0.8293384467881112}
0.0018	1468.0	491780	1.6797	{'f1': 0.8878688524590164}	{'accuracy': 0.8360498561840843}
0.0019	1469.0	492115	1.6253	{'f1': 0.8877146631439895}	{'accuracy': 0.8370086289549377}
0.0019	1470.0	492450	1.6399	{'f1': 0.8899143045484509}	{'accuracy': 0.8398849472674976}
0.0015	1471.0	492785	1.5905	{'f1': 0.8842530282637953}	{'accuracy': 0.835091083413231}
0.0032	1472.0	493120	1.6880	{'f1': 0.8859764089121887}	{'accuracy': 0.8331735378715245}
0.0032	1473.0	493455	1.6965	{'f1': 0.8868541530412034}	{'accuracy': 0.8341323106423778}
0.0013	1474.0	493790	1.7186	{'f1': 0.8872964169381107}	{'accuracy': 0.8341323106423778}
0.0017	1475.0	494125	1.9267	{'f1': 0.8773946360153257}	{'accuracy': 0.8159156279961649}
0.0017	1476.0	494460	1.7098	{'f1': 0.8845401174168297}	{'accuracy': 0.8302972195589645}
0.0025	1477.0	494795	1.7272	{'f1': 0.8845401174168297}	{'accuracy': 0.8302972195589645}
0.0017	1478.0	495130	1.7464	{'f1': 0.8849902534113061}	{'accuracy': 0.8302972195589645}
0.0017	1479.0	495465	1.7622	{'f1': 0.8849902534113061}	{'accuracy': 0.8302972195589645}
0.0037	1480.0	495800	1.7577	{'f1': 0.8844155844155843}	{'accuracy': 0.8293384467881112}
0.0028	1481.0	496135	1.6990	{'f1': 0.8867059593975114}	{'accuracy': 0.8341323106423778}
0.0028	1482.0	496470	1.6621	{'f1': 0.8874172185430463}	{'accuracy': 0.8370086289549377}
0.0025	1483.0	496805	1.6577	{'f1': 0.8866799204771372}	{'accuracy': 0.8360498561840843}
0.0014	1484.0	497140	1.6657	{'f1': 0.886829913964262}	{'accuracy': 0.8360498561840843}
0.0014	1485.0	497475	1.6798	{'f1': 0.8862433862433863}	{'accuracy': 0.835091083413231}
0.0016	1486.0	497810	1.7069	{'f1': 0.8852242744063324}	{'accuracy': 0.8331735378715245}
0.0017	1487.0	498145	1.7363	{'f1': 0.8871391076115486}	{'accuracy': 0.835091083413231}
0.0017	1488.0	498480	1.7298	{'f1': 0.8855461085676913}	{'accuracy': 0.8322147651006712}
0.0026	1489.0	498815	1.7036	{'f1': 0.8828590337524818}	{'accuracy': 0.8302972195589645}
0.0016	1490.0	499150	1.7324	{'f1': 0.8839344262295081}	{'accuracy': 0.8302972195589645}
0.0016	1491.0	499485	1.6758	{'f1': 0.882786336235767}	{'accuracy': 0.8322147651006712}
0.0016	1492.0	499820	1.7096	{'f1': 0.8812209688122097}	{'accuracy': 0.8283796740172579}
0.0016	1493.0	500155	1.7135	{'f1': 0.8812209688122097}	{'accuracy': 0.8283796740172579}
0.0016	1494.0	500490	1.7094	{'f1': 0.8849206349206349}	{'accuracy': 0.8331735378715245}
0.0023	1495.0	500825	1.8905	{'f1': 0.8798972382787411}	{'accuracy': 0.8207094918504314}
0.003	1496.0	501160	1.8150	{'f1': 0.8811369509043928}	{'accuracy': 0.8235858101629914}
0.003	1497.0	501495	1.8051	{'f1': 0.8831168831168831}	{'accuracy': 0.8274209012464045}
0.0023	1498.0	501830	1.7485	{'f1': 0.8845144356955381}	{'accuracy': 0.8312559923298178}
0.0027	1499.0	502165	1.7361	{'f1': 0.8839050131926122}	{'accuracy': 0.8312559923298178}
0.0023	1500.0	502500	1.7502	{'f1': 0.8856767411300921}	{'accuracy': 0.8331735378715245}
0.0023	1501.0	502835	1.8477	{'f1': 0.881859264041317}	{'accuracy': 0.8245445829338447}
0.003	1502.0	503170	1.7844	{'f1': 0.8810916179337233}	{'accuracy': 0.8245445829338447}
0.0014	1503.0	503505	1.7397	{'f1': 0.8859764089121887}	{'accuracy': 0.8331735378715245}
0.0014	1504.0	503840	1.7357	{'f1': 0.8868421052631579}	{'accuracy': 0.835091083413231}
0.0016	1505.0	504175	1.7151	{'f1': 0.88433575677462}	{'accuracy': 0.8322147651006712}
0.0018	1506.0	504510	1.7394	{'f1': 0.8869908015768725}	{'accuracy': 0.835091083413231}
0.0018	1507.0	504845	1.8398	{'f1': 0.8827319587628866}	{'accuracy': 0.825503355704698}
0.0036	1508.0	505180	1.7135	{'f1': 0.8897637795275591}	{'accuracy': 0.8389261744966443}
0.003	1509.0	505515	1.7473	{'f1': 0.8912052117263843}	{'accuracy': 0.8398849472674976}
0.003	1510.0	505850	1.7262	{'f1': 0.8904823989569751}	{'accuracy': 0.8389261744966443}
0.0027	1511.0	506185	1.7378	{'f1': 0.8900455432661027}	{'accuracy': 0.837967401725791}
0.0017	1512.0	506520	1.7261	{'f1': 0.8894702419882277}	{'accuracy': 0.837967401725791}
0.0017	1513.0	506855	1.7393	{'f1': 0.8904823989569751}	{'accuracy': 0.8389261744966443}
0.0013	1514.0	507190	1.7156	{'f1': 0.8859591298615689}	{'accuracy': 0.8341323106423778}
0.0024	1515.0	507525	1.7347	{'f1': 0.8865573770491804}	{'accuracy': 0.8341323106423778}
0.0024	1516.0	507860	1.7451	{'f1': 0.8871391076115486}	{'accuracy': 0.835091083413231}
0.0036	1517.0	508195	1.7153	{'f1': 0.8793103448275862}	{'accuracy': 0.825503355704698}
0.0019	1518.0	508530	1.7500	{'f1': 0.8843626806833115}	{'accuracy': 0.8312559923298178}
0.0019	1519.0	508865	1.7322	{'f1': 0.8793565683646113}	{'accuracy': 0.8274209012464045}
0.0023	1520.0	509200	1.7401	{'f1': 0.8800530152418821}	{'accuracy': 0.8264621284755513}
0.0025	1521.0	509535	1.7824	{'f1': 0.8841145833333333}	{'accuracy': 0.8293384467881112}
0.0025	1522.0	509870	1.7498	{'f1': 0.8829300196206671}	{'accuracy': 0.8283796740172579}
0.0024	1523.0	510205	1.7878	{'f1': 0.8851395197923426}	{'accuracy': 0.8302972195589645}
0.0025	1524.0	510540	1.7520	{'f1': 0.8848167539267016}	{'accuracy': 0.8312559923298178}
0.0025	1525.0	510875	1.7280	{'f1': 0.8788282290279628}	{'accuracy': 0.825503355704698}
0.0015	1526.0	511210	1.7614	{'f1': 0.8846657929226737}	{'accuracy': 0.8312559923298178}
0.0021	1527.0	511545	1.7547	{'f1': 0.8846657929226737}	{'accuracy': 0.8312559923298178}
0.0021	1528.0	511880	1.7802	{'f1': 0.8859934853420196}	{'accuracy': 0.8322147651006712}
0.0021	1529.0	512215	1.7649	{'f1': 0.884967320261438}	{'accuracy': 0.8312559923298178}
0.0021	1530.0	512550	1.7931	{'f1': 0.8857142857142858}	{'accuracy': 0.8312559923298178}
0.0021	1531.0	512885	1.8428	{'f1': 0.8842921784098255}	{'accuracy': 0.8283796740172579}
0.0013	1532.0	513220	1.7752	{'f1': 0.8845401174168297}	{'accuracy': 0.8302972195589645}
0.0019	1533.0	513555	1.8193	{'f1': 0.8857142857142858}	{'accuracy': 0.8312559923298178}
0.0019	1534.0	513890	1.7897	{'f1': 0.8833876221498371}	{'accuracy': 0.8283796740172579}
0.0021	1535.0	514225	1.7640	{'f1': 0.8829300196206671}	{'accuracy': 0.8283796740172579}
0.0014	1536.0	514560	1.7952	{'f1': 0.8835393623942747}	{'accuracy': 0.8283796740172579}
0.0014	1537.0	514895	1.7696	{'f1': 0.8832354859752121}	{'accuracy': 0.8283796740172579}
0.0046	1538.0	515230	1.7476	{'f1': 0.8826229508196721}	{'accuracy': 0.8283796740172579}
0.0026	1539.0	515565	1.7701	{'f1': 0.8838120104438641}	{'accuracy': 0.8293384467881112}
0.0026	1540.0	515900	1.7135	{'f1': 0.8813333333333333}	{'accuracy': 0.8293384467881112}
0.0023	1541.0	516235	1.7216	{'f1': 0.8852242744063324}	{'accuracy': 0.8331735378715245}
0.0015	1542.0	516570	1.7327	{'f1': 0.8834759710335748}	{'accuracy': 0.8302972195589645}
0.0015	1543.0	516905	1.9153	{'f1': 0.8810289389067525}	{'accuracy': 0.822627037392138}
0.0023	1544.0	517240	1.9283	{'f1': 0.8814862267777066}	{'accuracy': 0.822627037392138}
0.0013	1545.0	517575	1.7775	{'f1': 0.8835393623942747}	{'accuracy': 0.8283796740172579}
0.0013	1546.0	517910	1.7782	{'f1': 0.8845401174168297}	{'accuracy': 0.8302972195589645}
0.0021	1547.0	518245	1.7321	{'f1': 0.8839050131926122}	{'accuracy': 0.8312559923298178}
0.0037	1548.0	518580	1.7306	{'f1': 0.8824306472919419}	{'accuracy': 0.8293384467881112}
0.0037	1549.0	518915	1.7853	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0022	1550.0	519250	1.7888	{'f1': 0.8848405985686402}	{'accuracy': 0.8302972195589645}
0.0022	1551.0	519585	1.7722	{'f1': 0.8836601307189542}	{'accuracy': 0.8293384467881112}
0.0022	1552.0	519920	1.8264	{'f1': 0.8835705045278138}	{'accuracy': 0.8274209012464045}
0.0022	1553.0	520255	1.8034	{'f1': 0.8823911630929175}	{'accuracy': 0.8264621284755513}
0.0017	1554.0	520590	1.8151	{'f1': 0.8823911630929175}	{'accuracy': 0.8264621284755513}
0.0017	1555.0	520925	1.7742	{'f1': 0.8823529411764706}	{'accuracy': 0.8274209012464045}
0.0018	1556.0	521260	1.7667	{'f1': 0.8814669286182057}	{'accuracy': 0.8264621284755513}
0.0042	1557.0	521595	1.8058	{'f1': 0.8823911630929175}	{'accuracy': 0.8264621284755513}
0.0042	1558.0	521930	1.8213	{'f1': 0.8847150259067358}	{'accuracy': 0.8293384467881112}
0.0018	1559.0	522265	1.8251	{'f1': 0.8850129198966409}	{'accuracy': 0.8293384467881112}
0.0022	1560.0	522600	1.8970	{'f1': 0.8864656831302116}	{'accuracy': 0.8302972195589645}
0.0022	1561.0	522935	1.7577	{'f1': 0.881311475409836}	{'accuracy': 0.8264621284755513}
0.0022	1562.0	523270	1.7610	{'f1': 0.8817345597897503}	{'accuracy': 0.8274209012464045}
0.0018	1563.0	523605	1.8030	{'f1': 0.8799480856586632}	{'accuracy': 0.822627037392138}
0.0018	1564.0	523940	1.8052	{'f1': 0.880674448767834}	{'accuracy': 0.8235858101629914}
0.0016	1565.0	524275	1.8718	{'f1': 0.8817480719794344}	{'accuracy': 0.8235858101629914}
0.0028	1566.0	524610	1.7997	{'f1': 0.8836907082521118}	{'accuracy': 0.8283796740172579}
0.0028	1567.0	524945	1.8031	{'f1': 0.8836907082521118}	{'accuracy': 0.8283796740172579}
0.0019	1568.0	525280	1.7343	{'f1': 0.8827037773359842}	{'accuracy': 0.8302972195589645}
0.0017	1569.0	525615	1.7383	{'f1': 0.8818481848184818}	{'accuracy': 0.8283796740172579}
0.0017	1570.0	525950	1.7713	{'f1': 0.8832354859752121}	{'accuracy': 0.8283796740172579}
0.0027	1571.0	526285	1.7856	{'f1': 0.8813559322033898}	{'accuracy': 0.825503355704698}
0.0025	1572.0	526620	1.7484	{'f1': 0.8849441157133465}	{'accuracy': 0.8322147651006712}
0.0025	1573.0	526955	1.7433	{'f1': 0.8847926267281107}	{'accuracy': 0.8322147651006712}
0.0015	1574.0	527290	1.7106	{'f1': 0.885506287227002}	{'accuracy': 0.8341323106423778}
0.002	1575.0	527625	1.7500	{'f1': 0.8843626806833115}	{'accuracy': 0.8312559923298178}
0.002	1576.0	527960	1.7366	{'f1': 0.8840579710144927}	{'accuracy': 0.8312559923298178}
0.0018	1577.0	528295	1.8085	{'f1': 0.8818181818181818}	{'accuracy': 0.825503355704698}
0.0025	1578.0	528630	1.8183	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0025	1579.0	528965	1.8005	{'f1': 0.8823911630929175}	{'accuracy': 0.8264621284755513}
0.0016	1580.0	529300	1.8099	{'f1': 0.8812459441920829}	{'accuracy': 0.8245445829338447}
0.0016	1581.0	529635	1.8000	{'f1': 0.8832354859752121}	{'accuracy': 0.8283796740172579}
0.0016	1582.0	529970	1.7656	{'f1': 0.8858267716535433}	{'accuracy': 0.8331735378715245}
0.0018	1583.0	530305	1.7619	{'f1': 0.8875739644970414}	{'accuracy': 0.8360498561840843}
0.0027	1584.0	530640	1.8659	{'f1': 0.8838709677419355}	{'accuracy': 0.8274209012464045}
0.0027	1585.0	530975	1.9368	{'f1': 0.8802049967969251}	{'accuracy': 0.8207094918504314}
0.0022	1586.0	531310	1.8092	{'f1': 0.8833876221498371}	{'accuracy': 0.8283796740172579}
0.0014	1587.0	531645	1.7587	{'f1': 0.8846407382992749}	{'accuracy': 0.8322147651006712}
0.0014	1588.0	531980	1.7593	{'f1': 0.8844884488448844}	{'accuracy': 0.8322147651006712}
0.002	1589.0	532315	1.7504	{'f1': 0.8856576338400529}	{'accuracy': 0.8341323106423778}
0.0029	1590.0	532650	1.8576	{'f1': 0.8820116054158607}	{'accuracy': 0.8245445829338447}
0.0029	1591.0	532985	1.8579	{'f1': 0.8820116054158607}	{'accuracy': 0.8245445829338447}
0.0028	1592.0	533320	1.7852	{'f1': 0.8819308545335943}	{'accuracy': 0.8264621284755513}
0.0019	1593.0	533655	1.8312	{'f1': 0.8845654993514916}	{'accuracy': 0.8293384467881112}
0.0019	1594.0	533990	1.8185	{'f1': 0.8836907082521118}	{'accuracy': 0.8283796740172579}
0.0015	1595.0	534325	1.8286	{'f1': 0.8844155844155843}	{'accuracy': 0.8293384467881112}
0.0016	1596.0	534660	1.7812	{'f1': 0.8846657929226737}	{'accuracy': 0.8312559923298178}
0.0016	1597.0	534995	1.7121	{'f1': 0.8859239492995331}	{'accuracy': 0.8360498561840843}
0.0031	1598.0	535330	1.7505	{'f1': 0.8865435356200528}	{'accuracy': 0.835091083413231}
0.0024	1599.0	535665	1.7722	{'f1': 0.8861092824226466}	{'accuracy': 0.8341323106423778}
0.0018	1600.0	536000	1.7991	{'f1': 0.8855461085676913}	{'accuracy': 0.8322147651006712}
0.0018	1601.0	536335	1.7896	{'f1': 0.8858267716535433}	{'accuracy': 0.8331735378715245}
0.0027	1602.0	536670	1.7567	{'f1': 0.8850726552179656}	{'accuracy': 0.8331735378715245}
0.0034	1603.0	537005	1.7735	{'f1': 0.8871391076115486}	{'accuracy': 0.835091083413231}
0.0034	1604.0	537340	1.7833	{'f1': 0.888597640891219}	{'accuracy': 0.8370086289549377}
0.0036	1605.0	537675	1.7943	{'f1': 0.8877284595300261}	{'accuracy': 0.835091083413231}
0.0017	1606.0	538010	1.8458	{'f1': 0.8839922229423202}	{'accuracy': 0.8283796740172579}
0.0017	1607.0	538345	1.8366	{'f1': 0.8845654993514916}	{'accuracy': 0.8293384467881112}
0.0018	1608.0	538680	1.8458	{'f1': 0.883419689119171}	{'accuracy': 0.8274209012464045}
0.0019	1609.0	539015	1.8213	{'f1': 0.8862897985705004}	{'accuracy': 0.8322147651006712}
0.0019	1610.0	539350	1.8045	{'f1': 0.8855656697009102}	{'accuracy': 0.8312559923298178}
0.002	1611.0	539685	1.8566	{'f1': 0.8839922229423202}	{'accuracy': 0.8283796740172579}
0.0012	1612.0	540020	1.9060	{'f1': 0.8827674567584881}	{'accuracy': 0.8245445829338447}
0.0012	1613.0	540355	1.8649	{'f1': 0.8864516129032257}	{'accuracy': 0.8312559923298178}
0.0023	1614.0	540690	1.8564	{'f1': 0.8864516129032257}	{'accuracy': 0.8312559923298178}
0.0021	1615.0	541025	1.7985	{'f1': 0.8862897985705004}	{'accuracy': 0.8322147651006712}
0.0021	1616.0	541360	1.8464	{'f1': 0.8848641655886158}	{'accuracy': 0.8293384467881112}
0.0012	1617.0	541695	1.8302	{'f1': 0.8862897985705004}	{'accuracy': 0.8322147651006712}
0.0028	1618.0	542030	1.7613	{'f1': 0.8869908015768725}	{'accuracy': 0.835091083413231}
0.0028	1619.0	542365	1.7998	{'f1': 0.8859934853420196}	{'accuracy': 0.8322147651006712}
0.0029	1620.0	542700	1.8849	{'f1': 0.8825806451612904}	{'accuracy': 0.825503355704698}
0.0015	1621.0	543035	1.8498	{'f1': 0.8867313915857605}	{'accuracy': 0.8322147651006712}
0.0015	1622.0	543370	1.8221	{'f1': 0.88715953307393}	{'accuracy': 0.8331735378715245}
0.0037	1623.0	543705	1.7674	{'f1': 0.8887434554973821}	{'accuracy': 0.8370086289549377}
0.0019	1624.0	544040	1.7658	{'f1': 0.8887434554973821}	{'accuracy': 0.8370086289549377}
0.0019	1625.0	544375	1.7336	{'f1': 0.8887434554973821}	{'accuracy': 0.8370086289549377}
0.0032	1626.0	544710	1.7226	{'f1': 0.8871391076115486}	{'accuracy': 0.835091083413231}
0.0026	1627.0	545045	1.6854	{'f1': 0.8819628647214854}	{'accuracy': 0.8293384467881112}
0.0026	1628.0	545380	1.7412	{'f1': 0.8875816993464052}	{'accuracy': 0.835091083413231}
0.0016	1629.0	545715	1.7498	{'f1': 0.8890339425587468}	{'accuracy': 0.8370086289549377}
0.0016	1630.0	546050	1.7689	{'f1': 0.8878748370273793}	{'accuracy': 0.835091083413231}
0.0016	1631.0	546385	1.7637	{'f1': 0.8875816993464052}	{'accuracy': 0.835091083413231}
0.0027	1632.0	546720	1.7512	{'f1': 0.8871391076115486}	{'accuracy': 0.835091083413231}
0.0016	1633.0	547055	1.7382	{'f1': 0.8839050131926122}	{'accuracy': 0.8312559923298178}
0.0016	1634.0	547390	1.7454	{'f1': 0.8856767411300921}	{'accuracy': 0.8331735378715245}
0.0026	1635.0	547725	1.7604	{'f1': 0.8872870249017039}	{'accuracy': 0.835091083413231}
0.0015	1636.0	548060	1.7915	{'f1': 0.8870019595035924}	{'accuracy': 0.8341323106423778}
0.0015	1637.0	548395	1.7890	{'f1': 0.8883082952318746}	{'accuracy': 0.8360498561840843}
0.0018	1638.0	548730	1.7836	{'f1': 0.8875816993464052}	{'accuracy': 0.835091083413231}
0.0016	1639.0	549065	1.7746	{'f1': 0.8872870249017039}	{'accuracy': 0.835091083413231}
0.0016	1640.0	549400	1.7700	{'f1': 0.8880157170923381}	{'accuracy': 0.8360498561840843}
0.0013	1641.0	549735	1.7789	{'f1': 0.8867059593975114}	{'accuracy': 0.8341323106423778}
0.0019	1642.0	550070	1.8184	{'f1': 0.8874430709173715}	{'accuracy': 0.8341323106423778}
0.0019	1643.0	550405	1.8149	{'f1': 0.88671875}	{'accuracy': 0.8331735378715245}
0.0015	1644.0	550740	1.7591	{'f1': 0.8865573770491804}	{'accuracy': 0.8341323106423778}
0.0017	1645.0	551075	1.7327	{'f1': 0.8831341301460823}	{'accuracy': 0.8312559923298178}
0.0017	1646.0	551410	1.7562	{'f1': 0.8816920026437541}	{'accuracy': 0.8283796740172579}
0.0016	1647.0	551745	1.8002	{'f1': 0.8867059593975114}	{'accuracy': 0.8341323106423778}
0.0025	1648.0	552080	1.7971	{'f1': 0.8867059593975114}	{'accuracy': 0.8341323106423778}
0.0025	1649.0	552415	1.7689	{'f1': 0.886408404464872}	{'accuracy': 0.8341323106423778}
0.0021	1650.0	552750	1.7870	{'f1': 0.8861256544502618}	{'accuracy': 0.8331735378715245}
0.0027	1651.0	553085	1.7626	{'f1': 0.886259040105194}	{'accuracy': 0.8341323106423778}
0.0027	1652.0	553420	1.8169	{'f1': 0.8848405985686402}	{'accuracy': 0.8302972195589645}
0.0027	1653.0	553755	1.7918	{'f1': 0.8875816993464052}	{'accuracy': 0.835091083413231}
0.0017	1654.0	554090	1.8755	{'f1': 0.8852883992222943}	{'accuracy': 0.8302972195589645}
0.0017	1655.0	554425	1.8191	{'f1': 0.8851174934725848}	{'accuracy': 0.8312559923298178}
0.0016	1656.0	554760	1.8020	{'f1': 0.8835078534031414}	{'accuracy': 0.8293384467881112}
0.0017	1657.0	555095	1.7870	{'f1': 0.8846407382992749}	{'accuracy': 0.8322147651006712}
0.0017	1658.0	555430	1.7991	{'f1': 0.8820445609436436}	{'accuracy': 0.8274209012464045}
0.0031	1659.0	555765	1.8111	{'f1': 0.8827766863130322}	{'accuracy': 0.8283796740172579}
0.002	1660.0	556100	1.8213	{'f1': 0.8838120104438641}	{'accuracy': 0.8293384467881112}
0.002	1661.0	556435	1.8229	{'f1': 0.8838120104438641}	{'accuracy': 0.8293384467881112}
0.0015	1662.0	556770	1.8275	{'f1': 0.8838120104438641}	{'accuracy': 0.8293384467881112}
0.0017	1663.0	557105	1.8519	{'f1': 0.8842652795838754}	{'accuracy': 0.8293384467881112}
0.0017	1664.0	557440	1.8280	{'f1': 0.8836601307189542}	{'accuracy': 0.8293384467881112}
0.0015	1665.0	557775	1.8727	{'f1': 0.8864373783257624}	{'accuracy': 0.8322147651006712}
0.0015	1666.0	558110	1.7752	{'f1': 0.8859591298615689}	{'accuracy': 0.8341323106423778}
0.0015	1667.0	558445	1.7451	{'f1': 0.8862275449101797}	{'accuracy': 0.8360498561840843}
0.0023	1668.0	558780	1.7438	{'f1': 0.885486018641811}	{'accuracy': 0.835091083413231}
0.0013	1669.0	559115	1.7877	{'f1': 0.8842105263157894}	{'accuracy': 0.8312559923298178}
0.0013	1670.0	559450	1.8268	{'f1': 0.8865710560625816}	{'accuracy': 0.8331735378715245}
0.0042	1671.0	559785	1.7939	{'f1': 0.8845144356955381}	{'accuracy': 0.8312559923298178}
0.0014	1672.0	560120	1.7617	{'f1': 0.8871287128712871}	{'accuracy': 0.8360498561840843}
0.0014	1673.0	560455	1.7695	{'f1': 0.8859591298615689}	{'accuracy': 0.8341323106423778}
0.0018	1674.0	560790	1.7976	{'f1': 0.8842380640941793}	{'accuracy': 0.8302972195589645}
0.0032	1675.0	561125	1.7758	{'f1': 0.886259040105194}	{'accuracy': 0.8341323106423778}
0.0032	1676.0	561460	1.7853	{'f1': 0.8865573770491804}	{'accuracy': 0.8341323106423778}
0.0016	1677.0	561795	1.8183	{'f1': 0.8865710560625816}	{'accuracy': 0.8331735378715245}
0.0021	1678.0	562130	1.8137	{'f1': 0.8864229765013055}	{'accuracy': 0.8331735378715245}
0.0021	1679.0	562465	1.7866	{'f1': 0.8869908015768725}	{'accuracy': 0.835091083413231}
0.0014	1680.0	562800	1.8024	{'f1': 0.8861256544502618}	{'accuracy': 0.8331735378715245}
0.002	1681.0	563135	1.8350	{'f1': 0.8841145833333333}	{'accuracy': 0.8293384467881112}
0.002	1682.0	563470	1.8830	{'f1': 0.8847150259067358}	{'accuracy': 0.8293384467881112}
0.0021	1683.0	563805	1.8897	{'f1': 0.8829993535875889}	{'accuracy': 0.8264621284755513}
0.0022	1684.0	564140	1.8933	{'f1': 0.8829993535875889}	{'accuracy': 0.8264621284755513}
0.0022	1685.0	564475	1.8870	{'f1': 0.883419689119171}	{'accuracy': 0.8274209012464045}
0.0016	1686.0	564810	1.8205	{'f1': 0.8862745098039215}	{'accuracy': 0.8331735378715245}
0.0022	1687.0	565145	1.8695	{'f1': 0.8851395197923426}	{'accuracy': 0.8302972195589645}
0.0022	1688.0	565480	1.7729	{'f1': 0.8883048620236531}	{'accuracy': 0.8370086289549377}
0.0025	1689.0	565815	1.8150	{'f1': 0.8856956237753103}	{'accuracy': 0.8322147651006712}
0.0018	1690.0	566150	1.8247	{'f1': 0.8833876221498371}	{'accuracy': 0.8283796740172579}
0.0018	1691.0	566485	1.7694	{'f1': 0.8877216021011162}	{'accuracy': 0.8360498561840843}
0.0017	1692.0	566820	1.8261	{'f1': 0.8838120104438641}	{'accuracy': 0.8293384467881112}
0.0017	1693.0	567155	1.9000	{'f1': 0.8809831824062095}	{'accuracy': 0.8235858101629914}
0.0017	1694.0	567490	1.8237	{'f1': 0.8839634941329856}	{'accuracy': 0.8293384467881112}
0.0017	1695.0	567825	1.8309	{'f1': 0.8839634941329856}	{'accuracy': 0.8293384467881112}
0.0022	1696.0	568160	1.8800	{'f1': 0.8805194805194805}	{'accuracy': 0.8235858101629914}
0.0022	1697.0	568495	1.7568	{'f1': 0.8846407382992749}	{'accuracy': 0.8322147651006712}
0.0035	1698.0	568830	1.7732	{'f1': 0.8858267716535433}	{'accuracy': 0.8331735378715245}
0.0033	1699.0	569165	1.7657	{'f1': 0.8849441157133465}	{'accuracy': 0.8322147651006712}
0.0019	1700.0	569500	1.7705	{'f1': 0.8858267716535433}	{'accuracy': 0.8331735378715245}
0.0019	1701.0	569835	1.8138	{'f1': 0.8832354859752121}	{'accuracy': 0.8283796740172579}
0.0031	1702.0	570170	1.7630	{'f1': 0.8859764089121887}	{'accuracy': 0.8331735378715245}
0.003	1703.0	570505	1.7722	{'f1': 0.8855461085676913}	{'accuracy': 0.8322147651006712}
0.003	1704.0	570840	1.8248	{'f1': 0.8826597131681878}	{'accuracy': 0.8274209012464045}
0.0016	1705.0	571175	1.7793	{'f1': 0.8859764089121887}	{'accuracy': 0.8331735378715245}
0.0018	1706.0	571510	1.7850	{'f1': 0.8833551769331585}	{'accuracy': 0.8293384467881112}
0.0018	1707.0	571845	1.7811	{'f1': 0.8835078534031414}	{'accuracy': 0.8293384467881112}
0.0028	1708.0	572180	1.7269	{'f1': 0.883013879709187}	{'accuracy': 0.8302972195589645}
0.0014	1709.0	572515	1.7732	{'f1': 0.8837820091923834}	{'accuracy': 0.8302972195589645}
0.0014	1710.0	572850	1.8038	{'f1': 0.884967320261438}	{'accuracy': 0.8312559923298178}
0.0017	1711.0	573185	1.8681	{'f1': 0.8821243523316061}	{'accuracy': 0.825503355704698}
0.0032	1712.0	573520	1.8203	{'f1': 0.8828125}	{'accuracy': 0.8274209012464045}
0.0032	1713.0	573855	1.8133	{'f1': 0.8833876221498371}	{'accuracy': 0.8283796740172579}
0.0017	1714.0	574190	1.8147	{'f1': 0.8839634941329856}	{'accuracy': 0.8293384467881112}
0.0015	1715.0	574525	1.8559	{'f1': 0.881399870382372}	{'accuracy': 0.8245445829338447}
0.0015	1716.0	574860	1.8450	{'f1': 0.8825438027255029}	{'accuracy': 0.8264621284755513}
0.0027	1717.0	575195	1.8129	{'f1': 0.8807817589576548}	{'accuracy': 0.8245445829338447}
0.0018	1718.0	575530	1.8224	{'f1': 0.881664499349805}	{'accuracy': 0.825503355704698}
0.0018	1719.0	575865	1.8830	{'f1': 0.8815533980582524}	{'accuracy': 0.8245445829338447}
0.002	1720.0	576200	1.8332	{'f1': 0.8822381262199089}	{'accuracy': 0.8264621284755513}
0.002	1721.0	576535	1.8102	{'f1': 0.8845401174168297}	{'accuracy': 0.8302972195589645}
0.002	1722.0	576870	1.8260	{'f1': 0.8835393623942747}	{'accuracy': 0.8283796740172579}
0.0016	1723.0	577205	1.8454	{'f1': 0.8812459441920829}	{'accuracy': 0.8245445829338447}
0.0022	1724.0	577540	1.8249	{'f1': 0.881664499349805}	{'accuracy': 0.825503355704698}
0.0022	1725.0	577875	1.8317	{'f1': 0.881664499349805}	{'accuracy': 0.825503355704698}
0.0016	1726.0	578210	1.8376	{'f1': 0.8818181818181818}	{'accuracy': 0.825503355704698}
0.0017	1727.0	578545	1.8215	{'f1': 0.8815104166666666}	{'accuracy': 0.825503355704698}
0.0017	1728.0	578880	1.8402	{'f1': 0.8825438027255029}	{'accuracy': 0.8264621284755513}
0.0021	1729.0	579215	1.7980	{'f1': 0.8821989528795812}	{'accuracy': 0.8274209012464045}
0.0044	1730.0	579550	1.7829	{'f1': 0.8830829523187459}	{'accuracy': 0.8283796740172579}
0.0044	1731.0	579885	1.7817	{'f1': 0.8817766165904638}	{'accuracy': 0.8264621284755513}
0.0025	1732.0	580220	1.7871	{'f1': 0.881201044386423}	{'accuracy': 0.825503355704698}
0.0017	1733.0	580555	1.7537	{'f1': 0.8837820091923834}	{'accuracy': 0.8302972195589645}
0.0017	1734.0	580890	1.7662	{'f1': 0.8820445609436436}	{'accuracy': 0.8274209012464045}
0.0024	1735.0	581225	1.8081	{'f1': 0.8813559322033898}	{'accuracy': 0.825503355704698}
0.0017	1736.0	581560	1.8028	{'f1': 0.8806262230919765}	{'accuracy': 0.8245445829338447}
0.0017	1737.0	581895	1.7924	{'f1': 0.8817766165904638}	{'accuracy': 0.8264621284755513}
0.0017	1738.0	582230	1.7590	{'f1': 0.8852459016393444}	{'accuracy': 0.8322147651006712}
0.0017	1739.0	582565	1.7630	{'f1': 0.8846657929226737}	{'accuracy': 0.8312559923298178}
0.0017	1740.0	582900	1.8173	{'f1': 0.8835393623942747}	{'accuracy': 0.8283796740172579}
0.0026	1741.0	583235	1.7922	{'f1': 0.8843892880470282}	{'accuracy': 0.8302972195589645}
0.0014	1742.0	583570	1.8177	{'f1': 0.8854166666666666}	{'accuracy': 0.8312559923298178}
0.0014	1743.0	583905	1.8458	{'f1': 0.8832684824902725}	{'accuracy': 0.8274209012464045}
0.0015	1744.0	584240	1.8467	{'f1': 0.8839922229423202}	{'accuracy': 0.8283796740172579}
0.0022	1745.0	584575	1.8395	{'f1': 0.8815533980582524}	{'accuracy': 0.8245445829338447}
0.0022	1746.0	584910	1.8065	{'f1': 0.8851174934725848}	{'accuracy': 0.8312559923298178}
0.002	1747.0	585245	1.8286	{'f1': 0.8838416612589227}	{'accuracy': 0.8283796740172579}
0.0014	1748.0	585580	1.7903	{'f1': 0.8843892880470282}	{'accuracy': 0.8302972195589645}
0.0014	1749.0	585915	1.7733	{'f1': 0.8848167539267016}	{'accuracy': 0.8312559923298178}
0.0018	1750.0	586250	1.7725	{'f1': 0.8840864440078585}	{'accuracy': 0.8302972195589645}
0.0017	1751.0	586585	1.7919	{'f1': 0.8845401174168297}	{'accuracy': 0.8302972195589645}
0.0017	1752.0	586920	1.7989	{'f1': 0.8839634941329856}	{'accuracy': 0.8293384467881112}
0.0031	1753.0	587255	1.7640	{'f1': 0.8836601307189542}	{'accuracy': 0.8293384467881112}
0.0024	1754.0	587590	1.7970	{'f1': 0.8854166666666666}	{'accuracy': 0.8312559923298178}
0.0024	1755.0	587925	1.8008	{'f1': 0.8848405985686402}	{'accuracy': 0.8302972195589645}
0.0017	1756.0	588260	1.8080	{'f1': 0.8844155844155843}	{'accuracy': 0.8293384467881112}
0.0016	1757.0	588595	1.8133	{'f1': 0.8844155844155843}	{'accuracy': 0.8293384467881112}
0.0016	1758.0	588930	1.8340	{'f1': 0.883419689119171}	{'accuracy': 0.8274209012464045}
0.0017	1759.0	589265	1.7881	{'f1': 0.8855656697009102}	{'accuracy': 0.8312559923298178}
0.003	1760.0	589600	1.7626	{'f1': 0.8848167539267016}	{'accuracy': 0.8312559923298178}
0.003	1761.0	589935	1.7643	{'f1': 0.8848167539267016}	{'accuracy': 0.8312559923298178}
0.0015	1762.0	590270	1.7398	{'f1': 0.8856767411300921}	{'accuracy': 0.8331735378715245}
0.0014	1763.0	590605	1.8086	{'f1': 0.8842652795838754}	{'accuracy': 0.8293384467881112}
0.0014	1764.0	590940	1.8100	{'f1': 0.8842652795838754}	{'accuracy': 0.8293384467881112}
0.0017	1765.0	591275	1.8105	{'f1': 0.8848405985686402}	{'accuracy': 0.8302972195589645}
0.0017	1766.0	591610	1.7731	{'f1': 0.885396201702685}	{'accuracy': 0.8322147651006712}
0.0017	1767.0	591945	1.7660	{'f1': 0.8859764089121887}	{'accuracy': 0.8331735378715245}
0.0014	1768.0	592280	1.7488	{'f1': 0.8858267716535433}	{'accuracy': 0.8331735378715245}
0.0018	1769.0	592615	1.7477	{'f1': 0.8869908015768725}	{'accuracy': 0.835091083413231}
0.0018	1770.0	592950	1.7569	{'f1': 0.8852459016393444}	{'accuracy': 0.8322147651006712}
0.0028	1771.0	593285	1.7438	{'f1': 0.8865573770491804}	{'accuracy': 0.8341323106423778}
0.0019	1772.0	593620	1.7991	{'f1': 0.8833876221498371}	{'accuracy': 0.8283796740172579}
0.0019	1773.0	593955	1.7388	{'f1': 0.8877216021011162}	{'accuracy': 0.8360498561840843}
0.0024	1774.0	594290	1.7490	{'f1': 0.8877216021011162}	{'accuracy': 0.8360498561840843}
0.0018	1775.0	594625	1.7518	{'f1': 0.8871391076115486}	{'accuracy': 0.835091083413231}
0.0018	1776.0	594960	1.7421	{'f1': 0.8877216021011162}	{'accuracy': 0.8360498561840843}
0.0015	1777.0	595295	1.7446	{'f1': 0.8877216021011162}	{'accuracy': 0.8360498561840843}
0.0015	1778.0	595630	1.7495	{'f1': 0.8869908015768725}	{'accuracy': 0.835091083413231}
0.0015	1779.0	595965	1.7687	{'f1': 0.8861256544502618}	{'accuracy': 0.8331735378715245}
0.0029	1780.0	596300	1.7930	{'f1': 0.8864229765013055}	{'accuracy': 0.8331735378715245}
0.0016	1781.0	596635	1.7599	{'f1': 0.8856767411300921}	{'accuracy': 0.8331735378715245}
0.0016	1782.0	596970	1.7274	{'f1': 0.8861092824226466}	{'accuracy': 0.8341323106423778}
0.0029	1783.0	597305	1.7916	{'f1': 0.8843892880470282}	{'accuracy': 0.8302972195589645}
0.0021	1784.0	597640	1.7813	{'f1': 0.8848167539267016}	{'accuracy': 0.8312559923298178}
0.0021	1785.0	597975	1.7624	{'f1': 0.8850952068286276}	{'accuracy': 0.8322147651006712}
0.0014	1786.0	598310	1.7630	{'f1': 0.8858267716535433}	{'accuracy': 0.8331735378715245}
0.0017	1787.0	598645	1.7639	{'f1': 0.8852459016393444}	{'accuracy': 0.8322147651006712}
0.0017	1788.0	598980	1.8292	{'f1': 0.8826960466623461}	{'accuracy': 0.8264621284755513}
0.0026	1789.0	599315	1.8300	{'f1': 0.8826960466623461}	{'accuracy': 0.8264621284755513}
0.0014	1790.0	599650	1.7960	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0014	1791.0	599985	1.7991	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0032	1792.0	600320	1.7748	{'f1': 0.885396201702685}	{'accuracy': 0.8322147651006712}
0.0018	1793.0	600655	1.7767	{'f1': 0.8861256544502618}	{'accuracy': 0.8331735378715245}
0.0018	1794.0	600990	1.7648	{'f1': 0.8839344262295081}	{'accuracy': 0.8302972195589645}
0.0014	1795.0	601325	1.7661	{'f1': 0.8846657929226737}	{'accuracy': 0.8312559923298178}
0.0016	1796.0	601660	1.8404	{'f1': 0.8839922229423202}	{'accuracy': 0.8283796740172579}
0.0016	1797.0	601995	1.8215	{'f1': 0.8845654993514916}	{'accuracy': 0.8293384467881112}
0.0025	1798.0	602330	1.8020	{'f1': 0.8839634941329856}	{'accuracy': 0.8293384467881112}
0.0015	1799.0	602665	1.8410	{'f1': 0.8845654993514916}	{'accuracy': 0.8293384467881112}
0.0024	1800.0	603000	1.8550	{'f1': 0.883419689119171}	{'accuracy': 0.8274209012464045}
0.0024	1801.0	603335	1.8152	{'f1': 0.8849902534113061}	{'accuracy': 0.8302972195589645}
0.0019	1802.0	603670	1.8599	{'f1': 0.8835705045278138}	{'accuracy': 0.8274209012464045}
0.0031	1803.0	604005	1.8600	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0031	1804.0	604340	1.8608	{'f1': 0.8835705045278138}	{'accuracy': 0.8274209012464045}
0.0015	1805.0	604675	1.8073	{'f1': 0.8849902534113061}	{'accuracy': 0.8302972195589645}
0.0026	1806.0	605010	1.8080	{'f1': 0.8849902534113061}	{'accuracy': 0.8302972195589645}
0.0026	1807.0	605345	1.7721	{'f1': 0.8836601307189542}	{'accuracy': 0.8293384467881112}
0.0023	1808.0	605680	1.7746	{'f1': 0.8829300196206671}	{'accuracy': 0.8283796740172579}
0.0015	1809.0	606015	1.7814	{'f1': 0.8845401174168297}	{'accuracy': 0.8302972195589645}
0.0015	1810.0	606350	1.8085	{'f1': 0.8855656697009102}	{'accuracy': 0.8312559923298178}
0.0025	1811.0	606685	1.7868	{'f1': 0.8859934853420196}	{'accuracy': 0.8322147651006712}
0.0027	1812.0	607020	1.8199	{'f1': 0.8855656697009102}	{'accuracy': 0.8312559923298178}
0.0027	1813.0	607355	1.7622	{'f1': 0.8835078534031414}	{'accuracy': 0.8293384467881112}
0.0027	1814.0	607690	1.7351	{'f1': 0.8856767411300921}	{'accuracy': 0.8331735378715245}
0.003	1815.0	608025	1.7589	{'f1': 0.8848167539267016}	{'accuracy': 0.8312559923298178}
0.003	1816.0	608360	1.7603	{'f1': 0.8842380640941793}	{'accuracy': 0.8302972195589645}
0.0017	1817.0	608695	1.7043	{'f1': 0.8847682119205298}	{'accuracy': 0.8331735378715245}
0.0017	1818.0	609030	1.7115	{'f1': 0.8850726552179656}	{'accuracy': 0.8331735378715245}
0.0017	1819.0	609365	1.7299	{'f1': 0.8828947368421053}	{'accuracy': 0.8293384467881112}
0.0034	1820.0	609700	1.7508	{'f1': 0.8855461085676913}	{'accuracy': 0.8322147651006712}
0.0014	1821.0	610035	1.7615	{'f1': 0.884967320261438}	{'accuracy': 0.8312559923298178}
0.0014	1822.0	610370	1.7710	{'f1': 0.8865710560625816}	{'accuracy': 0.8331735378715245}
0.0023	1823.0	610705	1.7671	{'f1': 0.8871493803000652}	{'accuracy': 0.8341323106423778}
0.002	1824.0	611040	1.8029	{'f1': 0.8855656697009102}	{'accuracy': 0.8312559923298178}
0.002	1825.0	611375	1.8044	{'f1': 0.8855656697009102}	{'accuracy': 0.8312559923298178}
0.0016	1826.0	611710	1.7916	{'f1': 0.8854166666666666}	{'accuracy': 0.8312559923298178}
0.0026	1827.0	612045	1.8254	{'f1': 0.8838416612589227}	{'accuracy': 0.8283796740172579}
0.0026	1828.0	612380	1.8280	{'f1': 0.8838416612589227}	{'accuracy': 0.8283796740172579}
0.0019	1829.0	612715	1.8563	{'f1': 0.8805681084570691}	{'accuracy': 0.822627037392138}
0.0018	1830.0	613050	1.8191	{'f1': 0.8844155844155843}	{'accuracy': 0.8293384467881112}
0.0018	1831.0	613385	1.8434	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.002	1832.0	613720	1.8193	{'f1': 0.8838416612589227}	{'accuracy': 0.8283796740172579}
0.0022	1833.0	614055	1.8059	{'f1': 0.8861418347430059}	{'accuracy': 0.8322147651006712}
0.0022	1834.0	614390	1.8419	{'f1': 0.883419689119171}	{'accuracy': 0.8274209012464045}
0.0014	1835.0	614725	1.8164	{'f1': 0.8855656697009102}	{'accuracy': 0.8312559923298178}
0.0016	1836.0	615060	1.8140	{'f1': 0.8855656697009102}	{'accuracy': 0.8312559923298178}
0.0016	1837.0	615395	1.8308	{'f1': 0.8849902534113061}	{'accuracy': 0.8302972195589645}
0.0015	1838.0	615730	1.8373	{'f1': 0.8849902534113061}	{'accuracy': 0.8302972195589645}
0.0018	1839.0	616065	1.8327	{'f1': 0.8849902534113061}	{'accuracy': 0.8302972195589645}
0.0018	1840.0	616400	1.8333	{'f1': 0.8849902534113061}	{'accuracy': 0.8302972195589645}
0.0014	1841.0	616735	1.8224	{'f1': 0.8849902534113061}	{'accuracy': 0.8302972195589645}
0.0021	1842.0	617070	1.8239	{'f1': 0.8849902534113061}	{'accuracy': 0.8302972195589645}
0.0021	1843.0	617405	1.8142	{'f1': 0.8861418347430059}	{'accuracy': 0.8322147651006712}
0.002	1844.0	617740	1.7930	{'f1': 0.8864229765013055}	{'accuracy': 0.8331735378715245}
0.0015	1845.0	618075	1.8028	{'f1': 0.8865710560625816}	{'accuracy': 0.8331735378715245}
0.0015	1846.0	618410	1.8019	{'f1': 0.8865710560625816}	{'accuracy': 0.8331735378715245}
0.0016	1847.0	618745	1.7941	{'f1': 0.8864229765013055}	{'accuracy': 0.8331735378715245}
0.0015	1848.0	619080	1.7914	{'f1': 0.8862745098039215}	{'accuracy': 0.8331735378715245}
0.0015	1849.0	619415	1.7932	{'f1': 0.8870019595035924}	{'accuracy': 0.8341323106423778}
0.0017	1850.0	619750	1.8027	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.002	1851.0	620085	1.8047	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.002	1852.0	620420	1.7780	{'f1': 0.8867059593975114}	{'accuracy': 0.8341323106423778}
0.0019	1853.0	620755	1.8007	{'f1': 0.8858447488584474}	{'accuracy': 0.8322147651006712}
0.0019	1854.0	621090	1.8166	{'f1': 0.8836907082521118}	{'accuracy': 0.8283796740172579}
0.0019	1855.0	621425	1.8067	{'f1': 0.8858447488584474}	{'accuracy': 0.8322147651006712}
0.0019	1856.0	621760	1.8099	{'f1': 0.8858447488584474}	{'accuracy': 0.8322147651006712}
0.0014	1857.0	622095	1.8132	{'f1': 0.8854166666666666}	{'accuracy': 0.8312559923298178}
0.0014	1858.0	622430	1.8160	{'f1': 0.8848405985686402}	{'accuracy': 0.8302972195589645}
0.0016	1859.0	622765	1.8130	{'f1': 0.8865710560625816}	{'accuracy': 0.8331735378715245}
0.0023	1860.0	623100	1.8032	{'f1': 0.8864229765013055}	{'accuracy': 0.8331735378715245}
0.0023	1861.0	623435	1.8292	{'f1': 0.8831168831168831}	{'accuracy': 0.8274209012464045}
0.0015	1862.0	623770	1.7820	{'f1': 0.8862745098039215}	{'accuracy': 0.8331735378715245}
0.0022	1863.0	624105	1.7866	{'f1': 0.8862745098039215}	{'accuracy': 0.8331735378715245}
0.0022	1864.0	624440	1.7810	{'f1': 0.8861256544502618}	{'accuracy': 0.8331735378715245}
0.0017	1865.0	624775	1.7817	{'f1': 0.885396201702685}	{'accuracy': 0.8322147651006712}
0.0014	1866.0	625110	1.7845	{'f1': 0.8861256544502618}	{'accuracy': 0.8331735378715245}
0.0014	1867.0	625445	1.8123	{'f1': 0.8865710560625816}	{'accuracy': 0.8331735378715245}
0.0017	1868.0	625780	1.8365	{'f1': 0.8831168831168831}	{'accuracy': 0.8274209012464045}
0.0017	1869.0	626115	1.8423	{'f1': 0.8831168831168831}	{'accuracy': 0.8274209012464045}
0.0017	1870.0	626450	1.8632	{'f1': 0.8821243523316061}	{'accuracy': 0.825503355704698}
0.0025	1871.0	626785	1.8688	{'f1': 0.8821243523316061}	{'accuracy': 0.825503355704698}
0.0025	1872.0	627120	1.8626	{'f1': 0.881399870382372}	{'accuracy': 0.8245445829338447}
0.0025	1873.0	627455	1.8754	{'f1': 0.8821243523316061}	{'accuracy': 0.825503355704698}
0.0026	1874.0	627790	1.8935	{'f1': 0.8824289405684754}	{'accuracy': 0.825503355704698}
0.002	1875.0	628125	1.8796	{'f1': 0.8822768434670116}	{'accuracy': 0.825503355704698}
0.002	1876.0	628460	1.8755	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0016	1877.0	628795	1.8645	{'f1': 0.8821243523316061}	{'accuracy': 0.825503355704698}
0.0029	1878.0	629130	1.8299	{'f1': 0.8836907082521118}	{'accuracy': 0.8283796740172579}
0.0029	1879.0	629465	1.8327	{'f1': 0.8836907082521118}	{'accuracy': 0.8283796740172579}
0.0026	1880.0	629800	1.8038	{'f1': 0.8854166666666666}	{'accuracy': 0.8312559923298178}
0.0023	1881.0	630135	1.8041	{'f1': 0.8854166666666666}	{'accuracy': 0.8312559923298178}
0.0023	1882.0	630470	1.7793	{'f1': 0.8855461085676913}	{'accuracy': 0.8322147651006712}
0.0016	1883.0	630805	1.7775	{'f1': 0.8855461085676913}	{'accuracy': 0.8322147651006712}
0.0017	1884.0	631140	1.8057	{'f1': 0.8854166666666666}	{'accuracy': 0.8312559923298178}
0.0017	1885.0	631475	1.8132	{'f1': 0.8842652795838754}	{'accuracy': 0.8293384467881112}
0.0019	1886.0	631810	1.8241	{'f1': 0.8836907082521118}	{'accuracy': 0.8283796740172579}
0.0017	1887.0	632145	1.8248	{'f1': 0.8836907082521118}	{'accuracy': 0.8283796740172579}
0.0017	1888.0	632480	1.8337	{'f1': 0.8831168831168831}	{'accuracy': 0.8274209012464045}
0.0015	1889.0	632815	1.8370	{'f1': 0.8831168831168831}	{'accuracy': 0.8274209012464045}
0.0019	1890.0	633150	1.8850	{'f1': 0.8822768434670116}	{'accuracy': 0.825503355704698}
0.0019	1891.0	633485	1.8443	{'f1': 0.8831168831168831}	{'accuracy': 0.8274209012464045}
0.0025	1892.0	633820	1.8445	{'f1': 0.8838416612589227}	{'accuracy': 0.8283796740172579}
0.0016	1893.0	634155	1.8437	{'f1': 0.8838416612589227}	{'accuracy': 0.8283796740172579}
0.0016	1894.0	634490	1.8308	{'f1': 0.8842652795838754}	{'accuracy': 0.8293384467881112}
0.0016	1895.0	634825	1.8263	{'f1': 0.8854166666666666}	{'accuracy': 0.8312559923298178}
0.0015	1896.0	635160	1.8285	{'f1': 0.8848405985686402}	{'accuracy': 0.8302972195589645}
0.0015	1897.0	635495	1.8612	{'f1': 0.8821243523316061}	{'accuracy': 0.825503355704698}
0.0017	1898.0	635830	1.8584	{'f1': 0.8826960466623461}	{'accuracy': 0.8264621284755513}
0.0013	1899.0	636165	1.8256	{'f1': 0.8848405985686402}	{'accuracy': 0.8302972195589645}
0.0021	1900.0	636500	1.8326	{'f1': 0.8842652795838754}	{'accuracy': 0.8293384467881112}
0.0021	1901.0	636835	1.8623	{'f1': 0.8832684824902725}	{'accuracy': 0.8274209012464045}
0.0017	1902.0	637170	1.8491	{'f1': 0.8844155844155843}	{'accuracy': 0.8293384467881112}
0.0017	1903.0	637505	1.8310	{'f1': 0.8848405985686402}	{'accuracy': 0.8302972195589645}
0.0017	1904.0	637840	1.8307	{'f1': 0.8848405985686402}	{'accuracy': 0.8302972195589645}
0.0015	1905.0	638175	1.8300	{'f1': 0.8848405985686402}	{'accuracy': 0.8302972195589645}
0.0015	1906.0	638510	1.8359	{'f1': 0.8848405985686402}	{'accuracy': 0.8302972195589645}
0.0015	1907.0	638845	1.8397	{'f1': 0.8848405985686402}	{'accuracy': 0.8302972195589645}
0.0017	1908.0	639180	1.8132	{'f1': 0.8854166666666666}	{'accuracy': 0.8312559923298178}
0.0019	1909.0	639515	1.8285	{'f1': 0.8854166666666666}	{'accuracy': 0.8312559923298178}
0.0019	1910.0	639850	1.8164	{'f1': 0.8854166666666666}	{'accuracy': 0.8312559923298178}
0.0015	1911.0	640185	1.8159	{'f1': 0.8854166666666666}	{'accuracy': 0.8312559923298178}
0.0039	1912.0	640520	1.8154	{'f1': 0.8854166666666666}	{'accuracy': 0.8312559923298178}
0.0039	1913.0	640855	1.8143	{'f1': 0.8854166666666666}	{'accuracy': 0.8312559923298178}
0.0016	1914.0	641190	1.8164	{'f1': 0.8854166666666666}	{'accuracy': 0.8312559923298178}
0.0016	1915.0	641525	1.8002	{'f1': 0.8843892880470282}	{'accuracy': 0.8302972195589645}
0.0016	1916.0	641860	1.8145	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0015	1917.0	642195	1.8322	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0018	1918.0	642530	1.8430	{'f1': 0.8848405985686402}	{'accuracy': 0.8302972195589645}
0.0018	1919.0	642865	1.8387	{'f1': 0.8848405985686402}	{'accuracy': 0.8302972195589645}
0.0014	1920.0	643200	1.8234	{'f1': 0.8854166666666666}	{'accuracy': 0.8312559923298178}
0.0017	1921.0	643535	1.8391	{'f1': 0.8848405985686402}	{'accuracy': 0.8302972195589645}
0.0017	1922.0	643870	1.8365	{'f1': 0.8848405985686402}	{'accuracy': 0.8302972195589645}
0.0017	1923.0	644205	1.8385	{'f1': 0.8848405985686402}	{'accuracy': 0.8302972195589645}
0.0015	1924.0	644540	1.8517	{'f1': 0.8842652795838754}	{'accuracy': 0.8293384467881112}
0.0015	1925.0	644875	1.8575	{'f1': 0.8842652795838754}	{'accuracy': 0.8293384467881112}
0.0016	1926.0	645210	1.8550	{'f1': 0.8842652795838754}	{'accuracy': 0.8293384467881112}
0.0015	1927.0	645545	1.8557	{'f1': 0.8842652795838754}	{'accuracy': 0.8293384467881112}
0.0015	1928.0	645880	1.8343	{'f1': 0.8841145833333333}	{'accuracy': 0.8293384467881112}
0.002	1929.0	646215	1.8389	{'f1': 0.8848405985686402}	{'accuracy': 0.8302972195589645}
0.0012	1930.0	646550	1.8421	{'f1': 0.8848405985686402}	{'accuracy': 0.8302972195589645}
0.0012	1931.0	646885	1.8391	{'f1': 0.8848405985686402}	{'accuracy': 0.8302972195589645}
0.0015	1932.0	647220	1.8443	{'f1': 0.8842652795838754}	{'accuracy': 0.8293384467881112}
0.0014	1933.0	647555	1.8202	{'f1': 0.8852672750977836}	{'accuracy': 0.8312559923298178}
0.0014	1934.0	647890	1.8208	{'f1': 0.8852672750977836}	{'accuracy': 0.8312559923298178}
0.0024	1935.0	648225	1.8255	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0015	1936.0	648560	1.8251	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0015	1937.0	648895	1.8270	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0013	1938.0	649230	1.8323	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0025	1939.0	649565	1.8441	{'f1': 0.8854166666666666}	{'accuracy': 0.8312559923298178}
0.0025	1940.0	649900	1.8561	{'f1': 0.8848405985686402}	{'accuracy': 0.8302972195589645}
0.003	1941.0	650235	1.8563	{'f1': 0.8842652795838754}	{'accuracy': 0.8293384467881112}
0.0019	1942.0	650570	1.8461	{'f1': 0.8854166666666666}	{'accuracy': 0.8312559923298178}
0.0019	1943.0	650905	1.8470	{'f1': 0.8854166666666666}	{'accuracy': 0.8312559923298178}
0.0016	1944.0	651240	1.8465	{'f1': 0.8854166666666666}	{'accuracy': 0.8312559923298178}
0.0021	1945.0	651575	1.8407	{'f1': 0.8854166666666666}	{'accuracy': 0.8312559923298178}
0.0021	1946.0	651910	1.8420	{'f1': 0.8854166666666666}	{'accuracy': 0.8312559923298178}
0.0013	1947.0	652245	1.8416	{'f1': 0.8854166666666666}	{'accuracy': 0.8312559923298178}
0.0017	1948.0	652580	1.8311	{'f1': 0.8854166666666666}	{'accuracy': 0.8312559923298178}
0.0017	1949.0	652915	1.8314	{'f1': 0.8854166666666666}	{'accuracy': 0.8312559923298178}
0.0017	1950.0	653250	1.8318	{'f1': 0.8854166666666666}	{'accuracy': 0.8312559923298178}
0.0016	1951.0	653585	1.8348	{'f1': 0.8854166666666666}	{'accuracy': 0.8312559923298178}
0.0016	1952.0	653920	1.8345	{'f1': 0.8854166666666666}	{'accuracy': 0.8312559923298178}
0.0016	1953.0	654255	1.8347	{'f1': 0.8854166666666666}	{'accuracy': 0.8312559923298178}
0.0029	1954.0	654590	1.8116	{'f1': 0.8845401174168297}	{'accuracy': 0.8302972195589645}
0.0029	1955.0	654925	1.8122	{'f1': 0.8845401174168297}	{'accuracy': 0.8302972195589645}
0.0015	1956.0	655260	1.8217	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0018	1957.0	655595	1.8250	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0018	1958.0	655930	1.8265	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0014	1959.0	656265	1.8312	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0018	1960.0	656600	1.8360	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0018	1961.0	656935	1.8422	{'f1': 0.8848405985686402}	{'accuracy': 0.8302972195589645}
0.0014	1962.0	657270	1.8350	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0017	1963.0	657605	1.8340	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0017	1964.0	657940	1.8275	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0027	1965.0	658275	1.8315	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0016	1966.0	658610	1.8295	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0016	1967.0	658945	1.8294	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0024	1968.0	659280	1.8229	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0016	1969.0	659615	1.8217	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0016	1970.0	659950	1.8280	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0033	1971.0	660285	1.8352	{'f1': 0.8854166666666666}	{'accuracy': 0.8312559923298178}
0.0013	1972.0	660620	1.8291	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0013	1973.0	660955	1.8315	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0017	1974.0	661290	1.8264	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0011	1975.0	661625	1.8195	{'f1': 0.8852672750977836}	{'accuracy': 0.8312559923298178}
0.0011	1976.0	661960	1.8225	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0024	1977.0	662295	1.8227	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0016	1978.0	662630	1.8229	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0016	1979.0	662965	1.8219	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0015	1980.0	663300	1.8217	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0017	1981.0	663635	1.8209	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0017	1982.0	663970	1.8246	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0013	1983.0	664305	1.8217	{'f1': 0.8852672750977836}	{'accuracy': 0.8312559923298178}
0.0018	1984.0	664640	1.8200	{'f1': 0.8852672750977836}	{'accuracy': 0.8312559923298178}
0.0018	1985.0	664975	1.8221	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0024	1986.0	665310	1.8218	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0023	1987.0	665645	1.8206	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0023	1988.0	665980	1.8230	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0016	1989.0	666315	1.8191	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0029	1990.0	666650	1.8195	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0029	1991.0	666985	1.8215	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0018	1992.0	667320	1.8224	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0017	1993.0	667655	1.8227	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0017	1994.0	667990	1.8229	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0015	1995.0	668325	1.8205	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0021	1996.0	668660	1.8215	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0021	1997.0	668995	1.8216	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.002	1998.0	669330	1.8210	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0028	1999.0	669665	1.8213	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0015	2000.0	670000	1.8214	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}

Framework versions

• Transformers 4.29.2
• Pytorch 2.0.1+cu117
• Datasets 2.12.0
• Tokenizers 0.13.3