bert-base-uncased-test_16_4276

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: 1.9610
• F1: {'f1': 0.8828478964401294}
• Accuracy: {'accuracy': 0.8264621284755513}

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	268	0.6075	{'f1': 0.8167895632444696}	{'accuracy': 0.6903163950143816}
0.5944	2.0	536	0.5470	{'f1': 0.8422315536892621}	{'accuracy': 0.74784276126558}
0.5944	3.0	804	0.5450	{'f1': 0.852195423623995}	{'accuracy': 0.7708533077660594}
0.4872	4.0	1072	0.4844	{'f1': 0.8598726114649682}	{'accuracy': 0.7890699904122723}
0.4872	5.0	1340	0.4937	{'f1': 0.866111467008328}	{'accuracy': 0.7996164908916586}
0.4338	6.0	1608	0.4676	{'f1': 0.8661518661518662}	{'accuracy': 0.800575263662512}
0.4338	7.0	1876	0.4816	{'f1': 0.8644175684277531}	{'accuracy': 0.7957813998082455}
0.4056	8.0	2144	0.4739	{'f1': 0.8718954248366014}	{'accuracy': 0.8120805369127517}
0.4056	9.0	2412	0.4591	{'f1': 0.8711974110032363}	{'accuracy': 0.8092042186001918}
0.3849	10.0	2680	0.4851	{'f1': 0.8745980707395499}	{'accuracy': 0.8130393096836049}
0.3849	11.0	2948	0.5023	{'f1': 0.8679722046746684}	{'accuracy': 0.7996164908916586}
0.365	12.0	3216	0.5027	{'f1': 0.8754813863928111}	{'accuracy': 0.8139980824544583}
0.365	13.0	3484	0.4461	{'f1': 0.876584389593062}	{'accuracy': 0.822627037392138}
0.3358	14.0	3752	0.5491	{'f1': 0.87000634115409}	{'accuracy': 0.8034515819750719}
0.3241	15.0	4020	0.4550	{'f1': 0.8793103448275862}	{'accuracy': 0.825503355704698}
0.3241	16.0	4288	0.4668	{'f1': 0.8797342192691031}	{'accuracy': 0.8264621284755513}
0.3007	17.0	4556	0.5563	{'f1': 0.8675914249684742}	{'accuracy': 0.7986577181208053}
0.3007	18.0	4824	0.5609	{'f1': 0.8685208596713022}	{'accuracy': 0.800575263662512}
0.2956	19.0	5092	0.5625	{'f1': 0.8734015345268541}	{'accuracy': 0.8101629913710451}
0.2956	20.0	5360	0.5280	{'f1': 0.8789644012944984}	{'accuracy': 0.8207094918504314}
0.2683	21.0	5628	0.4948	{'f1': 0.8785666887856669}	{'accuracy': 0.8245445829338447}
0.2683	22.0	5896	0.5524	{'f1': 0.8798449612403101}	{'accuracy': 0.8216682646212847}
0.2473	23.0	6164	0.5997	{'f1': 0.8726114649681528}	{'accuracy': 0.8082454458293384}
0.2473	24.0	6432	0.6329	{'f1': 0.8749198203976909}	{'accuracy': 0.8130393096836049}
0.2315	25.0	6700	0.5596	{'f1': 0.880794701986755}	{'accuracy': 0.8274209012464045}
0.2315	26.0	6968	0.6109	{'f1': 0.8753993610223643}	{'accuracy': 0.8130393096836049}
0.2331	27.0	7236	0.7069	{'f1': 0.870499052432091}	{'accuracy': 0.8034515819750719}
0.2181	28.0	7504	0.6684	{'f1': 0.8723809523809525}	{'accuracy': 0.8072866730584851}
0.2181	29.0	7772	0.6178	{'f1': 0.8775376555337263}	{'accuracy': 0.8207094918504314}
0.2032	30.0	8040	0.6018	{'f1': 0.8776595744680851}	{'accuracy': 0.8235858101629914}
0.2032	31.0	8308	0.6371	{'f1': 0.8749189889825016}	{'accuracy': 0.8149568552253116}
0.1951	32.0	8576	0.6444	{'f1': 0.8764044943820225}	{'accuracy': 0.8207094918504314}
0.1951	33.0	8844	0.7170	{'f1': 0.8752399232245682}	{'accuracy': 0.8130393096836049}
0.1947	34.0	9112	0.6962	{'f1': 0.8825065274151437}	{'accuracy': 0.8274209012464045}
0.1947	35.0	9380	0.7095	{'f1': 0.8750800768737989}	{'accuracy': 0.8130393096836049}
0.1762	36.0	9648	0.6583	{'f1': 0.8814669286182057}	{'accuracy': 0.8264621284755513}
0.1762	37.0	9916	0.6923	{'f1': 0.8767833981841764}	{'accuracy': 0.8178331735378715}
0.1697	38.0	10184	0.6824	{'f1': 0.8797920727745288}	{'accuracy': 0.822627037392138}
0.1697	39.0	10452	0.7424	{'f1': 0.8743589743589745}	{'accuracy': 0.8120805369127517}
0.1658	40.0	10720	0.6879	{'f1': 0.8806855636123929}	{'accuracy': 0.8264621284755513}
0.1658	41.0	10988	0.8173	{'f1': 0.875}	{'accuracy': 0.8139980824544583}
0.1515	42.0	11256	0.7634	{'f1': 0.8776978417266187}	{'accuracy': 0.8207094918504314}
0.1529	43.0	11524	0.7446	{'f1': 0.877887788778878}	{'accuracy': 0.822627037392138}
0.1529	44.0	11792	0.8827	{'f1': 0.874274661508704}	{'accuracy': 0.8130393096836049}
0.1379	45.0	12060	0.8475	{'f1': 0.8757319453480807}	{'accuracy': 0.8168744007670182}
0.1379	46.0	12328	0.8444	{'f1': 0.8752449379490528}	{'accuracy': 0.8168744007670182}
0.1385	47.0	12596	0.9618	{'f1': 0.8685714285714287}	{'accuracy': 0.8015340364333653}
0.1385	48.0	12864	0.8868	{'f1': 0.8702388637830858}	{'accuracy': 0.8072866730584851}
0.14	49.0	13132	1.0041	{'f1': 0.8737988468930173}	{'accuracy': 0.8111217641418984}
0.14	50.0	13400	1.0846	{'f1': 0.8668769716088328}	{'accuracy': 0.7976989453499521}
0.1307	51.0	13668	0.9921	{'f1': 0.8688419705694178}	{'accuracy': 0.8034515819750719}
0.1307	52.0	13936	0.9633	{'f1': 0.8757319453480807}	{'accuracy': 0.8168744007670182}
0.1112	53.0	14204	1.0211	{'f1': 0.8733118971061095}	{'accuracy': 0.8111217641418984}
0.1112	54.0	14472	1.1896	{'f1': 0.8635794743429286}	{'accuracy': 0.7909875359539789}
0.1309	55.0	14740	1.0013	{'f1': 0.8700128700128702}	{'accuracy': 0.8063279002876318}
0.1221	56.0	15008	1.0001	{'f1': 0.8731487443657436}	{'accuracy': 0.8111217641418984}
0.1221	57.0	15276	1.0049	{'f1': 0.8772609819121446}	{'accuracy': 0.8178331735378715}
0.1113	58.0	15544	1.0781	{'f1': 0.8728434504792332}	{'accuracy': 0.8092042186001918}
0.1113	59.0	15812	1.0977	{'f1': 0.872680742162508}	{'accuracy': 0.8092042186001918}
0.1115	60.0	16080	1.0472	{'f1': 0.8706182281708095}	{'accuracy': 0.8053691275167785}
0.1115	61.0	16348	0.9831	{'f1': 0.870695256660169}	{'accuracy': 0.8092042186001918}
0.098	62.0	16616	0.9927	{'f1': 0.8719632304661851}	{'accuracy': 0.8130393096836049}
0.098	63.0	16884	1.0695	{'f1': 0.8738738738738738}	{'accuracy': 0.8120805369127517}
0.1107	64.0	17152	1.0002	{'f1': 0.8798955613577023}	{'accuracy': 0.8235858101629914}
0.1107	65.0	17420	0.9707	{'f1': 0.8787483702737942}	{'accuracy': 0.8216682646212847}
0.1091	66.0	17688	1.0128	{'f1': 0.8784313725490197}	{'accuracy': 0.8216682646212847}
0.1091	67.0	17956	1.1134	{'f1': 0.8717294192724951}	{'accuracy': 0.8072866730584851}
0.1026	68.0	18224	1.0603	{'f1': 0.8738501971090671}	{'accuracy': 0.8159156279961649}
0.1026	69.0	18492	1.2804	{'f1': 0.87017099430019}	{'accuracy': 0.8034515819750719}
0.094	70.0	18760	1.0974	{'f1': 0.8696210661528582}	{'accuracy': 0.8053691275167785}
0.093	71.0	19028	1.2703	{'f1': 0.8697850821744627}	{'accuracy': 0.8024928092042186}
0.093	72.0	19296	1.2012	{'f1': 0.875724404378622}	{'accuracy': 0.8149568552253116}
0.0899	73.0	19564	1.1749	{'f1': 0.875893437296946}	{'accuracy': 0.8168744007670182}
0.0899	74.0	19832	1.0505	{'f1': 0.8736842105263158}	{'accuracy': 0.8159156279961649}
0.0903	75.0	20100	1.0960	{'f1': 0.8766946417043254}	{'accuracy': 0.8168744007670182}
0.0903	76.0	20368	1.2759	{'f1': 0.8718592964824121}	{'accuracy': 0.8044103547459253}
0.0842	77.0	20636	1.1268	{'f1': 0.8711974110032363}	{'accuracy': 0.8092042186001918}
0.0842	78.0	20904	1.1667	{'f1': 0.8747566515249838}	{'accuracy': 0.8149568552253116}
0.0816	79.0	21172	1.1139	{'f1': 0.8699029126213591}	{'accuracy': 0.8072866730584851}
0.0816	80.0	21440	1.1289	{'f1': 0.8775113415424498}	{'accuracy': 0.8187919463087249}
0.0773	81.0	21708	1.0792	{'f1': 0.8777923784494087}	{'accuracy': 0.8216682646212847}
0.0773	82.0	21976	1.1410	{'f1': 0.877124183006536}	{'accuracy': 0.8197507190795782}
0.0788	83.0	22244	1.3554	{'f1': 0.8717624763108023}	{'accuracy': 0.8053691275167785}
0.0817	84.0	22512	1.1553	{'f1': 0.8709055876685934}	{'accuracy': 0.8072866730584851}
0.0817	85.0	22780	1.1422	{'f1': 0.8686739269698911}	{'accuracy': 0.8034515819750719}
0.0733	86.0	23048	1.0853	{'f1': 0.8755760368663594}	{'accuracy': 0.8187919463087249}
0.0733	87.0	23316	1.2379	{'f1': 0.8722860791826309}	{'accuracy': 0.8082454458293384}
0.0776	88.0	23584	1.2913	{'f1': 0.8748419721871048}	{'accuracy': 0.8101629913710451}
0.0776	89.0	23852	1.1652	{'f1': 0.8777633289986997}	{'accuracy': 0.8197507190795782}
0.0708	90.0	24120	1.2576	{'f1': 0.8766066838046273}	{'accuracy': 0.8159156279961649}
0.0708	91.0	24388	1.1815	{'f1': 0.8782383419689119}	{'accuracy': 0.8197507190795782}
0.0631	92.0	24656	1.3106	{'f1': 0.8732394366197184}	{'accuracy': 0.8101629913710451}
0.0631	93.0	24924	1.2272	{'f1': 0.8730769230769232}	{'accuracy': 0.8101629913710451}
0.0696	94.0	25192	1.2953	{'f1': 0.876765083440308}	{'accuracy': 0.8159156279961649}
0.0696	95.0	25460	1.2844	{'f1': 0.8754813863928111}	{'accuracy': 0.8139980824544583}
0.0563	96.0	25728	1.2379	{'f1': 0.8729427254772877}	{'accuracy': 0.8149568552253116}
0.0563	97.0	25996	1.2850	{'f1': 0.881664499349805}	{'accuracy': 0.825503355704698}
0.0557	98.0	26264	1.2859	{'f1': 0.8755641521598968}	{'accuracy': 0.8149568552253116}
0.0683	99.0	26532	1.2102	{'f1': 0.8745938921377518}	{'accuracy': 0.8149568552253116}
0.0683	100.0	26800	1.2866	{'f1': 0.8736369467607441}	{'accuracy': 0.8111217641418984}
0.0638	101.0	27068	1.4307	{'f1': 0.8683544303797468}	{'accuracy': 0.800575263662512}
0.0638	102.0	27336	1.1488	{'f1': 0.8734587929915639}	{'accuracy': 0.8130393096836049}
0.0693	103.0	27604	1.1985	{'f1': 0.8775376555337263}	{'accuracy': 0.8207094918504314}
0.0693	104.0	27872	1.2900	{'f1': 0.8746770025839793}	{'accuracy': 0.8139980824544583}
0.064	105.0	28140	1.2855	{'f1': 0.8754863813229572}	{'accuracy': 0.8159156279961649}
0.064	106.0	28408	1.3281	{'f1': 0.8725176169122358}	{'accuracy': 0.8092042186001918}
0.0586	107.0	28676	1.2873	{'f1': 0.8744365743721829}	{'accuracy': 0.8130393096836049}
0.0586	108.0	28944	1.3377	{'f1': 0.8737988468930173}	{'accuracy': 0.8111217641418984}
0.0631	109.0	29212	1.2620	{'f1': 0.8793215916503588}	{'accuracy': 0.822627037392138}
0.0631	110.0	29480	1.3145	{'f1': 0.8741976893453146}	{'accuracy': 0.8120805369127517}
0.05	111.0	29748	1.3408	{'f1': 0.8652751423149905}	{'accuracy': 0.7957813998082455}
0.05	112.0	30016	1.4493	{'f1': 0.8727735368956744}	{'accuracy': 0.8082454458293384}
0.05	113.0	30284	1.3254	{'f1': 0.8775113415424498}	{'accuracy': 0.8187919463087249}
0.0527	114.0	30552	1.3957	{'f1': 0.8713375796178344}	{'accuracy': 0.8063279002876318}
0.0527	115.0	30820	1.5469	{'f1': 0.8677581863979849}	{'accuracy': 0.7986577181208053}
0.0482	116.0	31088	1.3284	{'f1': 0.8725176169122358}	{'accuracy': 0.8092042186001918}
0.0482	117.0	31356	1.2982	{'f1': 0.870453095086152}	{'accuracy': 0.8053691275167785}
0.0489	118.0	31624	1.5273	{'f1': 0.869949494949495}	{'accuracy': 0.8024928092042186}
0.0489	119.0	31892	1.3563	{'f1': 0.8728434504792332}	{'accuracy': 0.8092042186001918}
0.0464	120.0	32160	1.3692	{'f1': 0.8753993610223643}	{'accuracy': 0.8130393096836049}
0.0464	121.0	32428	1.2495	{'f1': 0.8808290155440415}	{'accuracy': 0.8235858101629914}
0.0478	122.0	32696	1.2845	{'f1': 0.8755641521598968}	{'accuracy': 0.8149568552253116}
0.0478	123.0	32964	1.4378	{'f1': 0.8752374920835972}	{'accuracy': 0.8111217641418984}
0.046	124.0	33232	1.2288	{'f1': 0.8800521512385918}	{'accuracy': 0.8235858101629914}
0.0444	125.0	33500	1.1855	{'f1': 0.876657824933687}	{'accuracy': 0.8216682646212847}
0.0444	126.0	33768	1.4810	{'f1': 0.8709472345835982}	{'accuracy': 0.8053691275167785}
0.0475	127.0	34036	1.1555	{'f1': 0.8803139306736429}	{'accuracy': 0.8245445829338447}
0.0475	128.0	34304	1.3327	{'f1': 0.8734587929915639}	{'accuracy': 0.8130393096836049}
0.0413	129.0	34572	1.4666	{'f1': 0.8711734693877551}	{'accuracy': 0.8063279002876318}
0.0413	130.0	34840	1.2652	{'f1': 0.8763897972531065}	{'accuracy': 0.8187919463087249}
0.0437	131.0	35108	1.2726	{'f1': 0.881201044386423}	{'accuracy': 0.825503355704698}
0.0437	132.0	35376	1.3042	{'f1': 0.8768729641693811}	{'accuracy': 0.8187919463087249}
0.0475	133.0	35644	1.2782	{'f1': 0.8750817527795945}	{'accuracy': 0.8168744007670182}
0.0475	134.0	35912	1.3946	{'f1': 0.8793215916503588}	{'accuracy': 0.822627037392138}
0.0402	135.0	36180	1.2243	{'f1': 0.8816053511705686}	{'accuracy': 0.8302972195589645}
0.0402	136.0	36448	1.4490	{'f1': 0.8772378516624041}	{'accuracy': 0.8159156279961649}
0.0436	137.0	36716	1.2867	{'f1': 0.878334417696812}	{'accuracy': 0.8207094918504314}
0.0436	138.0	36984	1.3864	{'f1': 0.8790218790218791}	{'accuracy': 0.8197507190795782}
0.0412	139.0	37252	1.4153	{'f1': 0.8792769528728211}	{'accuracy': 0.8207094918504314}
0.0387	140.0	37520	1.4768	{'f1': 0.8723809523809525}	{'accuracy': 0.8072866730584851}
0.0387	141.0	37788	1.5351	{'f1': 0.8723540731237972}	{'accuracy': 0.8092042186001918}
0.0319	142.0	38056	1.3842	{'f1': 0.8758085381630013}	{'accuracy': 0.8159156279961649}
0.0319	143.0	38324	1.3523	{'f1': 0.876943005181347}	{'accuracy': 0.8178331735378715}
0.0559	144.0	38592	1.4572	{'f1': 0.8730964467005076}	{'accuracy': 0.8082454458293384}
0.0559	145.0	38860	1.2603	{'f1': 0.8746770025839793}	{'accuracy': 0.8139980824544583}
0.0413	146.0	39128	1.4008	{'f1': 0.8725176169122358}	{'accuracy': 0.8092042186001918}
0.0413	147.0	39396	1.3653	{'f1': 0.8782722513089006}	{'accuracy': 0.8216682646212847}
0.0378	148.0	39664	1.3626	{'f1': 0.8740359897172236}	{'accuracy': 0.8120805369127517}
0.0378	149.0	39932	1.2392	{'f1': 0.8818897637795275}	{'accuracy': 0.8274209012464045}
0.0389	150.0	40200	1.3436	{'f1': 0.8810916179337233}	{'accuracy': 0.8245445829338447}
0.0389	151.0	40468	1.3810	{'f1': 0.8745980707395499}	{'accuracy': 0.8130393096836049}
0.0363	152.0	40736	1.3891	{'f1': 0.8719590268886044}	{'accuracy': 0.8082454458293384}
0.0346	153.0	41004	1.5349	{'f1': 0.8725674827369743}	{'accuracy': 0.8053691275167785}
0.0346	154.0	41272	1.2926	{'f1': 0.8768536428110896}	{'accuracy': 0.8168744007670182}
0.0325	155.0	41540	1.2025	{'f1': 0.8799463447350772}	{'accuracy': 0.8283796740172579}
0.0325	156.0	41808	1.3760	{'f1': 0.8786127167630058}	{'accuracy': 0.8187919463087249}
0.038	157.0	42076	1.2697	{'f1': 0.8813559322033898}	{'accuracy': 0.825503355704698}
0.038	158.0	42344	1.3949	{'f1': 0.8784565916398713}	{'accuracy': 0.8187919463087249}
0.0351	159.0	42612	1.4656	{'f1': 0.876765083440308}	{'accuracy': 0.8159156279961649}
0.0351	160.0	42880	1.4483	{'f1': 0.8783000643915004}	{'accuracy': 0.8187919463087249}
0.0325	161.0	43148	1.5239	{'f1': 0.8761904761904763}	{'accuracy': 0.8130393096836049}
0.0325	162.0	43416	1.3390	{'f1': 0.8867059593975114}	{'accuracy': 0.8341323106423778}
0.0323	163.0	43684	1.3027	{'f1': 0.8844884488448844}	{'accuracy': 0.8322147651006712}
0.0323	164.0	43952	1.3008	{'f1': 0.8805774278215224}	{'accuracy': 0.825503355704698}
0.0324	165.0	44220	1.3689	{'f1': 0.8783958602846055}	{'accuracy': 0.8197507190795782}
0.0324	166.0	44488	1.5485	{'f1': 0.8735053492762744}	{'accuracy': 0.8072866730584851}
0.039	167.0	44756	1.4961	{'f1': 0.8789808917197452}	{'accuracy': 0.8178331735378715}
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0.0118	347.0	92996	1.4685	{'f1': 0.880103694102398}	{'accuracy': 0.822627037392138}
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0.0101	351.0	94068	1.5760	{'f1': 0.8741123305358297}	{'accuracy': 0.8130393096836049}
0.0101	352.0	94336	1.5638	{'f1': 0.8774193548387096}	{'accuracy': 0.8178331735378715}
0.0103	353.0	94604	1.5473	{'f1': 0.8771929824561404}	{'accuracy': 0.8187919463087249}
0.0103	354.0	94872	1.5289	{'f1': 0.8791208791208791}	{'accuracy': 0.8207094918504314}
0.0137	355.0	95140	1.4850	{'f1': 0.8791208791208791}	{'accuracy': 0.8207094918504314}
0.0137	356.0	95408	1.5065	{'f1': 0.8808757244043787}	{'accuracy': 0.822627037392138}
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0.0077	360.0	96480	1.5900	{'f1': 0.8796414852752881}	{'accuracy': 0.8197507190795782}
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0.0107	363.0	97284	1.5311	{'f1': 0.8780169602087411}	{'accuracy': 0.8207094918504314}
0.0106	364.0	97552	1.6998	{'f1': 0.8733290897517505}	{'accuracy': 0.8092042186001918}
0.0106	365.0	97820	1.7060	{'f1': 0.8732572877059569}	{'accuracy': 0.8082454458293384}
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0.0145	369.0	98892	1.6232	{'f1': 0.8801020408163266}	{'accuracy': 0.8197507190795782}
0.0127	370.0	99160	1.5481	{'f1': 0.8758002560819463}	{'accuracy': 0.8139980824544583}
0.0127	371.0	99428	1.4528	{'f1': 0.8786502271252432}	{'accuracy': 0.8207094918504314}
0.0126	372.0	99696	1.4551	{'f1': 0.8819714656290532}	{'accuracy': 0.825503355704698}
0.0126	373.0	99964	1.3990	{'f1': 0.8800521512385918}	{'accuracy': 0.8235858101629914}
0.0115	374.0	100232	1.4816	{'f1': 0.8833876221498371}	{'accuracy': 0.8283796740172579}
0.0078	375.0	100500	1.5006	{'f1': 0.8815104166666666}	{'accuracy': 0.825503355704698}
0.0078	376.0	100768	1.5941	{'f1': 0.8768536428110896}	{'accuracy': 0.8168744007670182}
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0.0092	379.0	101572	1.6128	{'f1': 0.8745198463508322}	{'accuracy': 0.8120805369127517}
0.0092	380.0	101840	1.5639	{'f1': 0.8778920308483289}	{'accuracy': 0.8178331735378715}
0.012	381.0	102108	1.4765	{'f1': 0.8842380640941793}	{'accuracy': 0.8302972195589645}
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0.0117	383.0	102644	1.6245	{'f1': 0.8764331210191082}	{'accuracy': 0.8139980824544583}
0.0117	384.0	102912	1.4490	{'f1': 0.8843892880470282}	{'accuracy': 0.8302972195589645}
0.011	385.0	103180	1.4457	{'f1': 0.8826597131681878}	{'accuracy': 0.8274209012464045}
0.011	386.0	103448	1.5298	{'f1': 0.8798972382787411}	{'accuracy': 0.8207094918504314}
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0.0095	388.0	103984	1.5028	{'f1': 0.8822381262199089}	{'accuracy': 0.8264621284755513}
0.0095	389.0	104252	1.4893	{'f1': 0.8836601307189542}	{'accuracy': 0.8293384467881112}
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0.0121	396.0	106128	1.6165	{'f1': 0.8758842443729904}	{'accuracy': 0.8149568552253116}
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0.0092	400.0	107200	1.5257	{'f1': 0.8760545100584036}	{'accuracy': 0.8168744007670182}
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0.0072	503.0	134804	1.7302	{'f1': 0.8761904761904763}	{'accuracy': 0.8130393096836049}
0.0082	504.0	135072	1.6365	{'f1': 0.8792207792207791}	{'accuracy': 0.8216682646212847}
0.0082	505.0	135340	1.5748	{'f1': 0.8833876221498371}	{'accuracy': 0.8283796740172579}
0.0066	506.0	135608	1.6967	{'f1': 0.8764331210191082}	{'accuracy': 0.8139980824544583}
0.0066	507.0	135876	1.5747	{'f1': 0.8791064388961892}	{'accuracy': 0.8235858101629914}
0.006	508.0	136144	1.6261	{'f1': 0.878334417696812}	{'accuracy': 0.8207094918504314}
0.006	509.0	136412	1.7697	{'f1': 0.8734015345268541}	{'accuracy': 0.8101629913710451}
0.006	510.0	136680	1.7500	{'f1': 0.8763613068545804}	{'accuracy': 0.8149568552253116}
0.006	511.0	136948	1.6436	{'f1': 0.8815533980582524}	{'accuracy': 0.8245445829338447}
0.0063	512.0	137216	1.6400	{'f1': 0.8798449612403101}	{'accuracy': 0.8216682646212847}
0.0063	513.0	137484	1.9283	{'f1': 0.8717624763108023}	{'accuracy': 0.8053691275167785}
0.007	514.0	137752	1.6641	{'f1': 0.8817480719794344}	{'accuracy': 0.8235858101629914}
0.0097	515.0	138020	1.6543	{'f1': 0.8787096774193548}	{'accuracy': 0.8197507190795782}
0.0097	516.0	138288	1.6937	{'f1': 0.8783000643915004}	{'accuracy': 0.8187919463087249}
0.0054	517.0	138556	1.6774	{'f1': 0.8783000643915004}	{'accuracy': 0.8187919463087249}
0.0054	518.0	138824	1.7553	{'f1': 0.8753993610223643}	{'accuracy': 0.8130393096836049}
0.0068	519.0	139092	1.6472	{'f1': 0.880674448767834}	{'accuracy': 0.8235858101629914}
0.0068	520.0	139360	1.6008	{'f1': 0.8809993425378042}	{'accuracy': 0.8264621284755513}
0.0104	521.0	139628	1.7428	{'f1': 0.875968992248062}	{'accuracy': 0.8159156279961649}
0.0104	522.0	139896	1.7010	{'f1': 0.8766946417043254}	{'accuracy': 0.8168744007670182}
0.0048	523.0	140164	1.7071	{'f1': 0.8779857972885732}	{'accuracy': 0.8187919463087249}
0.0048	524.0	140432	1.7259	{'f1': 0.8788659793814433}	{'accuracy': 0.8197507190795782}
0.0071	525.0	140700	1.7475	{'f1': 0.8775773195876289}	{'accuracy': 0.8178331735378715}
0.0071	526.0	140968	1.7191	{'f1': 0.8782383419689119}	{'accuracy': 0.8197507190795782}
0.0061	527.0	141236	1.7251	{'f1': 0.8796895213454075}	{'accuracy': 0.8216682646212847}
0.0055	528.0	141504	1.7330	{'f1': 0.8774193548387096}	{'accuracy': 0.8178331735378715}
0.0055	529.0	141772	1.5532	{'f1': 0.8818061088977424}	{'accuracy': 0.8293384467881112}
0.0071	530.0	142040	1.6792	{'f1': 0.87890625}	{'accuracy': 0.8216682646212847}
0.0071	531.0	142308	1.7657	{'f1': 0.8777991042866283}	{'accuracy': 0.8168744007670182}
0.0057	532.0	142576	1.6605	{'f1': 0.8800521512385918}	{'accuracy': 0.8235858101629914}
0.0057	533.0	142844	1.6630	{'f1': 0.8809368900455433}	{'accuracy': 0.8245445829338447}
0.0043	534.0	143112	1.8157	{'f1': 0.8770806658130602}	{'accuracy': 0.8159156279961649}
0.0043	535.0	143380	1.6377	{'f1': 0.8807817589576548}	{'accuracy': 0.8245445829338447}
0.0064	536.0	143648	1.7094	{'f1': 0.8792769528728211}	{'accuracy': 0.8207094918504314}
0.0064	537.0	143916	1.7565	{'f1': 0.876117496807152}	{'accuracy': 0.8139980824544583}
0.006	538.0	144184	1.6098	{'f1': 0.8837820091923834}	{'accuracy': 0.8302972195589645}
0.006	539.0	144452	1.6052	{'f1': 0.8803641092327698}	{'accuracy': 0.8235858101629914}
0.0107	540.0	144720	1.6235	{'f1': 0.8805681084570691}	{'accuracy': 0.822627037392138}
0.0107	541.0	144988	1.6989	{'f1': 0.8793324775353017}	{'accuracy': 0.8197507190795782}
0.0028	542.0	145256	1.6351	{'f1': 0.8784565916398713}	{'accuracy': 0.8187919463087249}
0.0093	543.0	145524	1.5489	{'f1': 0.8777633289986997}	{'accuracy': 0.8197507190795782}
0.0093	544.0	145792	1.6381	{'f1': 0.8806161745827985}	{'accuracy': 0.8216682646212847}
0.0082	545.0	146060	1.5306	{'f1': 0.8810457516339869}	{'accuracy': 0.825503355704698}
0.0082	546.0	146328	1.6200	{'f1': 0.8785529715762274}	{'accuracy': 0.8197507190795782}
0.0046	547.0	146596	1.6476	{'f1': 0.8791208791208791}	{'accuracy': 0.8207094918504314}
0.0046	548.0	146864	1.5664	{'f1': 0.8806262230919765}	{'accuracy': 0.8245445829338447}
0.0075	549.0	147132	1.6444	{'f1': 0.8784925276153347}	{'accuracy': 0.8207094918504314}
0.0075	550.0	147400	1.7417	{'f1': 0.8754034861200773}	{'accuracy': 0.8149568552253116}
0.0043	551.0	147668	1.7776	{'f1': 0.8725176169122358}	{'accuracy': 0.8092042186001918}
0.0043	552.0	147936	1.8581	{'f1': 0.8712121212121213}	{'accuracy': 0.8044103547459253}
0.008	553.0	148204	1.5995	{'f1': 0.8806262230919765}	{'accuracy': 0.8245445829338447}
0.008	554.0	148472	1.7457	{'f1': 0.8717948717948718}	{'accuracy': 0.8082454458293384}
0.0058	555.0	148740	1.6409	{'f1': 0.874274661508704}	{'accuracy': 0.8130393096836049}
0.0076	556.0	149008	1.6940	{'f1': 0.8745980707395499}	{'accuracy': 0.8130393096836049}
0.0076	557.0	149276	1.7115	{'f1': 0.872258064516129}	{'accuracy': 0.8101629913710451}
0.0033	558.0	149544	1.7159	{'f1': 0.8750809061488675}	{'accuracy': 0.8149568552253116}
0.0033	559.0	149812	1.7610	{'f1': 0.8760436737315349}	{'accuracy': 0.8149568552253116}
0.007	560.0	150080	1.8160	{'f1': 0.875724404378622}	{'accuracy': 0.8149568552253116}
0.007	561.0	150348	1.8065	{'f1': 0.8752424046541694}	{'accuracy': 0.8149568552253116}
0.006	562.0	150616	1.8686	{'f1': 0.8771483131763208}	{'accuracy': 0.8149568552253116}
0.006	563.0	150884	1.6342	{'f1': 0.8788075178224238}	{'accuracy': 0.8207094918504314}
0.0115	564.0	151152	1.6630	{'f1': 0.8790218790218791}	{'accuracy': 0.8197507190795782}
0.0115	565.0	151420	1.6109	{'f1': 0.8794788273615636}	{'accuracy': 0.822627037392138}
0.0068	566.0	151688	1.5944	{'f1': 0.8776699029126214}	{'accuracy': 0.8187919463087249}
0.0068	567.0	151956	1.5621	{'f1': 0.8794233289646134}	{'accuracy': 0.8235858101629914}
0.0076	568.0	152224	1.8731	{'f1': 0.8719242902208201}	{'accuracy': 0.8053691275167785}
0.0076	569.0	152492	1.6145	{'f1': 0.8825438027255029}	{'accuracy': 0.8264621284755513}
0.0078	570.0	152760	1.5479	{'f1': 0.8814669286182057}	{'accuracy': 0.8264621284755513}
0.0091	571.0	153028	1.5595	{'f1': 0.880674448767834}	{'accuracy': 0.8235858101629914}
0.0091	572.0	153296	1.7412	{'f1': 0.8723809523809525}	{'accuracy': 0.8072866730584851}
0.0053	573.0	153564	1.6270	{'f1': 0.8765352294764059}	{'accuracy': 0.8168744007670182}
0.0053	574.0	153832	1.7433	{'f1': 0.8734177215189873}	{'accuracy': 0.8082454458293384}
0.0066	575.0	154100	1.6253	{'f1': 0.8778280542986426}	{'accuracy': 0.8187919463087249}
0.0066	576.0	154368	1.6452	{'f1': 0.8770122343850613}	{'accuracy': 0.8168744007670182}
0.0039	577.0	154636	1.5797	{'f1': 0.8828125}	{'accuracy': 0.8274209012464045}
0.0039	578.0	154904	1.5768	{'f1': 0.8808290155440415}	{'accuracy': 0.8235858101629914}
0.0057	579.0	155172	1.5973	{'f1': 0.8772609819121446}	{'accuracy': 0.8178331735378715}
0.0057	580.0	155440	1.7696	{'f1': 0.8738853503184713}	{'accuracy': 0.8101629913710451}
0.0051	581.0	155708	1.6236	{'f1': 0.8780804150453955}	{'accuracy': 0.8197507190795782}
0.0051	582.0	155976	1.6985	{'f1': 0.8774855676715844}	{'accuracy': 0.8168744007670182}
0.0058	583.0	156244	1.7124	{'f1': 0.876765083440308}	{'accuracy': 0.8159156279961649}
0.0049	584.0	156512	1.6080	{'f1': 0.8800521512385918}	{'accuracy': 0.8235858101629914}
0.0049	585.0	156780	1.8090	{'f1': 0.8764331210191082}	{'accuracy': 0.8139980824544583}
0.0052	586.0	157048	1.7793	{'f1': 0.8735632183908045}	{'accuracy': 0.8101629913710451}
0.0052	587.0	157316	1.6669	{'f1': 0.8809368900455433}	{'accuracy': 0.8245445829338447}
0.0034	588.0	157584	1.8463	{'f1': 0.872680742162508}	{'accuracy': 0.8092042186001918}
0.0034	589.0	157852	1.8558	{'f1': 0.8746021642266074}	{'accuracy': 0.8111217641418984}
0.0056	590.0	158120	1.7290	{'f1': 0.8783958602846055}	{'accuracy': 0.8197507190795782}
0.0056	591.0	158388	1.6278	{'f1': 0.8819308545335943}	{'accuracy': 0.8264621284755513}
0.006	592.0	158656	1.6006	{'f1': 0.8805280528052805}	{'accuracy': 0.8264621284755513}
0.006	593.0	158924	1.8143	{'f1': 0.8727735368956744}	{'accuracy': 0.8082454458293384}
0.0079	594.0	159192	1.6530	{'f1': 0.876943005181347}	{'accuracy': 0.8178331735378715}
0.0079	595.0	159460	1.7267	{'f1': 0.8741976893453146}	{'accuracy': 0.8120805369127517}
0.0035	596.0	159728	1.7158	{'f1': 0.8739495798319327}	{'accuracy': 0.8130393096836049}
0.0035	597.0	159996	1.6977	{'f1': 0.874025974025974}	{'accuracy': 0.8139980824544583}
0.0034	598.0	160264	1.7460	{'f1': 0.8761408083441983}	{'accuracy': 0.8178331735378715}
0.0055	599.0	160532	1.8796	{'f1': 0.8726114649681528}	{'accuracy': 0.8082454458293384}
0.0055	600.0	160800	1.6903	{'f1': 0.8749189889825016}	{'accuracy': 0.8149568552253116}
0.0095	601.0	161068	1.8035	{'f1': 0.870453095086152}	{'accuracy': 0.8053691275167785}
0.0095	602.0	161336	1.7779	{'f1': 0.872680742162508}	{'accuracy': 0.8092042186001918}
0.0047	603.0	161604	1.7869	{'f1': 0.8703465982028241}	{'accuracy': 0.8063279002876318}
0.0047	604.0	161872	1.8860	{'f1': 0.8715012722646311}	{'accuracy': 0.8063279002876318}
0.0047	605.0	162140	1.6485	{'f1': 0.877444589308996}	{'accuracy': 0.8197507190795782}
0.0047	606.0	162408	1.6368	{'f1': 0.8753246753246753}	{'accuracy': 0.8159156279961649}
0.007	607.0	162676	1.7010	{'f1': 0.8755641521598968}	{'accuracy': 0.8149568552253116}
0.007	608.0	162944	1.6477	{'f1': 0.875}	{'accuracy': 0.8159156279961649}
0.0039	609.0	163212	1.7227	{'f1': 0.8766946417043254}	{'accuracy': 0.8168744007670182}
0.0039	610.0	163480	1.6724	{'f1': 0.8758085381630013}	{'accuracy': 0.8159156279961649}
0.0065	611.0	163748	1.7402	{'f1': 0.8787684413085312}	{'accuracy': 0.8187919463087249}
0.0057	612.0	164016	1.6429	{'f1': 0.8787483702737942}	{'accuracy': 0.8216682646212847}
0.0057	613.0	164284	1.7085	{'f1': 0.8766773162939298}	{'accuracy': 0.8149568552253116}
0.0079	614.0	164552	1.5554	{'f1': 0.8791639451338994}	{'accuracy': 0.822627037392138}
0.0079	615.0	164820	1.6716	{'f1': 0.8777348777348777}	{'accuracy': 0.8178331735378715}
0.0076	616.0	165088	1.5445	{'f1': 0.8802631578947369}	{'accuracy': 0.825503355704698}
0.0076	617.0	165356	1.6435	{'f1': 0.8751608751608753}	{'accuracy': 0.8139980824544583}
0.0056	618.0	165624	1.6635	{'f1': 0.8787684413085312}	{'accuracy': 0.8187919463087249}
0.0056	619.0	165892	1.6575	{'f1': 0.8750809061488675}	{'accuracy': 0.8149568552253116}
0.0051	620.0	166160	1.5946	{'f1': 0.8763897972531065}	{'accuracy': 0.8187919463087249}
0.0051	621.0	166428	1.6229	{'f1': 0.8764629388816645}	{'accuracy': 0.8178331735378715}
0.0041	622.0	166696	1.8007	{'f1': 0.8746803069053708}	{'accuracy': 0.8120805369127517}
0.0041	623.0	166964	1.6322	{'f1': 0.877444589308996}	{'accuracy': 0.8197507190795782}
0.0049	624.0	167232	1.7678	{'f1': 0.8752399232245682}	{'accuracy': 0.8130393096836049}
0.0077	625.0	167500	1.6739	{'f1': 0.8728923476005188}	{'accuracy': 0.8120805369127517}
0.0077	626.0	167768	1.6843	{'f1': 0.8778280542986426}	{'accuracy': 0.8187919463087249}
0.0059	627.0	168036	1.6263	{'f1': 0.8780804150453955}	{'accuracy': 0.8197507190795782}
0.0059	628.0	168304	1.5140	{'f1': 0.8799472295514512}	{'accuracy': 0.825503355704698}
0.0043	629.0	168572	1.6523	{'f1': 0.8808757244043787}	{'accuracy': 0.822627037392138}
0.0043	630.0	168840	1.6856	{'f1': 0.879177377892031}	{'accuracy': 0.8197507190795782}
0.0044	631.0	169108	1.6593	{'f1': 0.8779857972885732}	{'accuracy': 0.8187919463087249}
0.0044	632.0	169376	1.5858	{'f1': 0.8819308545335943}	{'accuracy': 0.8264621284755513}
0.005	633.0	169644	1.6205	{'f1': 0.8815104166666666}	{'accuracy': 0.825503355704698}
0.005	634.0	169912	1.7306	{'f1': 0.8793324775353017}	{'accuracy': 0.8197507190795782}
0.0068	635.0	170180	1.5782	{'f1': 0.8793774319066148}	{'accuracy': 0.8216682646212847}
0.0068	636.0	170448	1.6286	{'f1': 0.8766946417043254}	{'accuracy': 0.8168744007670182}
0.007	637.0	170716	1.5340	{'f1': 0.8794788273615636}	{'accuracy': 0.822627037392138}
0.007	638.0	170984	1.6775	{'f1': 0.873490146217419}	{'accuracy': 0.8092042186001918}
0.0071	639.0	171252	1.4314	{'f1': 0.8823142669296515}	{'accuracy': 0.8283796740172579}
0.0059	640.0	171520	1.5496	{'f1': 0.8845654993514916}	{'accuracy': 0.8293384467881112}
0.0059	641.0	171788	1.6745	{'f1': 0.8784565916398713}	{'accuracy': 0.8187919463087249}
0.0037	642.0	172056	1.6000	{'f1': 0.8831168831168831}	{'accuracy': 0.8274209012464045}
0.0037	643.0	172324	1.8842	{'f1': 0.8722466960352422}	{'accuracy': 0.8053691275167785}
0.0058	644.0	172592	1.6105	{'f1': 0.8817766165904638}	{'accuracy': 0.8264621284755513}
0.0058	645.0	172860	1.5538	{'f1': 0.8821192052980134}	{'accuracy': 0.8293384467881112}
0.0069	646.0	173128	1.6187	{'f1': 0.8794326241134752}	{'accuracy': 0.8207094918504314}
0.0069	647.0	173396	1.4811	{'f1': 0.8825857519788918}	{'accuracy': 0.8293384467881112}
0.0044	648.0	173664	1.6093	{'f1': 0.8797953964194373}	{'accuracy': 0.8197507190795782}
0.0044	649.0	173932	1.5749	{'f1': 0.8834513844172568}	{'accuracy': 0.8264621284755513}
0.005	650.0	174200	1.5911	{'f1': 0.8808757244043787}	{'accuracy': 0.822627037392138}
0.005	651.0	174468	1.5948	{'f1': 0.8800000000000001}	{'accuracy': 0.8216682646212847}
0.0067	652.0	174736	1.6279	{'f1': 0.8800000000000001}	{'accuracy': 0.8216682646212847}
0.0047	653.0	175004	1.4843	{'f1': 0.8860927152317881}	{'accuracy': 0.835091083413231}
0.0047	654.0	175272	1.6797	{'f1': 0.880103694102398}	{'accuracy': 0.822627037392138}
0.0027	655.0	175540	1.6829	{'f1': 0.8810916179337233}	{'accuracy': 0.8245445829338447}
0.0027	656.0	175808	1.6556	{'f1': 0.8815533980582524}	{'accuracy': 0.8245445829338447}
0.0065	657.0	176076	1.6331	{'f1': 0.8823911630929175}	{'accuracy': 0.8264621284755513}
0.0065	658.0	176344	1.5479	{'f1': 0.8860589812332439}	{'accuracy': 0.8370086289549377}
0.0058	659.0	176612	1.7328	{'f1': 0.8782051282051283}	{'accuracy': 0.8178331735378715}
0.0058	660.0	176880	1.6440	{'f1': 0.8815104166666666}	{'accuracy': 0.825503355704698}
0.0053	661.0	177148	1.7026	{'f1': 0.8777633289986997}	{'accuracy': 0.8197507190795782}
0.0053	662.0	177416	1.7220	{'f1': 0.8773281952472703}	{'accuracy': 0.8168744007670182}
0.0054	663.0	177684	1.7106	{'f1': 0.8787684413085312}	{'accuracy': 0.8187919463087249}
0.0054	664.0	177952	1.6862	{'f1': 0.8796895213454075}	{'accuracy': 0.8216682646212847}
0.0052	665.0	178220	1.6845	{'f1': 0.8808290155440415}	{'accuracy': 0.8235858101629914}
0.0052	666.0	178488	1.7543	{'f1': 0.8790218790218791}	{'accuracy': 0.8197507190795782}
0.0052	667.0	178756	1.6313	{'f1': 0.8790637191157347}	{'accuracy': 0.8216682646212847}
0.0085	668.0	179024	1.6752	{'f1': 0.8798449612403101}	{'accuracy': 0.8216682646212847}
0.0085	669.0	179292	1.6499	{'f1': 0.8810916179337233}	{'accuracy': 0.8245445829338447}
0.0044	670.0	179560	1.7159	{'f1': 0.8758085381630013}	{'accuracy': 0.8159156279961649}
0.0044	671.0	179828	1.6521	{'f1': 0.881201044386423}	{'accuracy': 0.825503355704698}
0.0069	672.0	180096	1.6122	{'f1': 0.8798955613577023}	{'accuracy': 0.8235858101629914}
0.0069	673.0	180364	1.6488	{'f1': 0.877444589308996}	{'accuracy': 0.8197507190795782}
0.0072	674.0	180632	1.6800	{'f1': 0.8788075178224238}	{'accuracy': 0.8207094918504314}
0.0072	675.0	180900	1.7574	{'f1': 0.8765352294764059}	{'accuracy': 0.8168744007670182}
0.004	676.0	181168	1.6408	{'f1': 0.8827766863130322}	{'accuracy': 0.8283796740172579}
0.004	677.0	181436	1.6744	{'f1': 0.881201044386423}	{'accuracy': 0.825503355704698}
0.0055	678.0	181704	1.7759	{'f1': 0.8781431334622825}	{'accuracy': 0.8187919463087249}
0.0055	679.0	181972	1.8183	{'f1': 0.8739603326935381}	{'accuracy': 0.8111217641418984}
0.0059	680.0	182240	1.8144	{'f1': 0.8755641521598968}	{'accuracy': 0.8149568552253116}
0.0065	681.0	182508	1.6445	{'f1': 0.8803139306736429}	{'accuracy': 0.8245445829338447}
0.0065	682.0	182776	1.7231	{'f1': 0.878334417696812}	{'accuracy': 0.8207094918504314}
0.0051	683.0	183044	1.7208	{'f1': 0.8808900523560209}	{'accuracy': 0.825503355704698}
0.0051	684.0	183312	1.7769	{'f1': 0.8750809061488675}	{'accuracy': 0.8149568552253116}
0.0053	685.0	183580	1.7528	{'f1': 0.8753246753246753}	{'accuracy': 0.8159156279961649}
0.0053	686.0	183848	1.7685	{'f1': 0.8760545100584036}	{'accuracy': 0.8168744007670182}
0.005	687.0	184116	1.7305	{'f1': 0.8771929824561404}	{'accuracy': 0.8187919463087249}
0.005	688.0	184384	1.7494	{'f1': 0.8766233766233766}	{'accuracy': 0.8178331735378715}
0.0037	689.0	184652	1.6860	{'f1': 0.8798424162836507}	{'accuracy': 0.8245445829338447}
0.0037	690.0	184920	1.7626	{'f1': 0.875893437296946}	{'accuracy': 0.8168744007670182}
0.0041	691.0	185188	1.7876	{'f1': 0.8762151652624757}	{'accuracy': 0.8168744007670182}
0.0041	692.0	185456	1.7242	{'f1': 0.875893437296946}	{'accuracy': 0.8168744007670182}
0.0045	693.0	185724	1.8107	{'f1': 0.8729139922978177}	{'accuracy': 0.8101629913710451}
0.0045	694.0	185992	1.7086	{'f1': 0.8771021992238034}	{'accuracy': 0.8178331735378715}
0.005	695.0	186260	1.6863	{'f1': 0.8788075178224238}	{'accuracy': 0.8207094918504314}
0.0072	696.0	186528	1.5648	{'f1': 0.8818481848184818}	{'accuracy': 0.8283796740172579}
0.0072	697.0	186796	1.7455	{'f1': 0.876765083440308}	{'accuracy': 0.8159156279961649}
0.0045	698.0	187064	1.6478	{'f1': 0.8817766165904638}	{'accuracy': 0.8264621284755513}
0.0045	699.0	187332	1.7030	{'f1': 0.8822381262199089}	{'accuracy': 0.8264621284755513}
0.0031	700.0	187600	1.9555	{'f1': 0.8724747474747474}	{'accuracy': 0.8063279002876318}
0.0031	701.0	187868	1.6503	{'f1': 0.8815354070152218}	{'accuracy': 0.8283796740172579}
0.0071	702.0	188136	1.7643	{'f1': 0.8775113415424498}	{'accuracy': 0.8187919463087249}
0.0071	703.0	188404	1.6566	{'f1': 0.8790058862001309}	{'accuracy': 0.822627037392138}
0.0076	704.0	188672	1.7519	{'f1': 0.8775113415424498}	{'accuracy': 0.8187919463087249}
0.0076	705.0	188940	1.7657	{'f1': 0.8751608751608753}	{'accuracy': 0.8139980824544583}
0.003	706.0	189208	1.7131	{'f1': 0.8787483702737942}	{'accuracy': 0.8216682646212847}
0.003	707.0	189476	1.6405	{'f1': 0.8814669286182057}	{'accuracy': 0.8264621284755513}
0.0068	708.0	189744	1.7380	{'f1': 0.8784925276153347}	{'accuracy': 0.8207094918504314}
0.0022	709.0	190012	1.7929	{'f1': 0.8753213367609254}	{'accuracy': 0.8139980824544583}
0.0022	710.0	190280	1.8563	{'f1': 0.870453095086152}	{'accuracy': 0.8053691275167785}
0.008	711.0	190548	1.6662	{'f1': 0.8766233766233766}	{'accuracy': 0.8178331735378715}
0.008	712.0	190816	1.6160	{'f1': 0.8776315789473685}	{'accuracy': 0.8216682646212847}
0.0043	713.0	191084	1.6463	{'f1': 0.8766233766233766}	{'accuracy': 0.8178331735378715}
0.0043	714.0	191352	1.7676	{'f1': 0.8707829408020369}	{'accuracy': 0.8053691275167785}
0.0083	715.0	191620	1.6735	{'f1': 0.8762886597938144}	{'accuracy': 0.8159156279961649}
0.0083	716.0	191888	1.6299	{'f1': 0.8793215916503588}	{'accuracy': 0.822627037392138}
0.0033	717.0	192156	1.5531	{'f1': 0.8844621513944223}	{'accuracy': 0.8331735378715245}
0.0033	718.0	192424	1.5674	{'f1': 0.8846407382992749}	{'accuracy': 0.8322147651006712}
0.0069	719.0	192692	1.6354	{'f1': 0.8781758957654723}	{'accuracy': 0.8207094918504314}
0.0069	720.0	192960	1.7000	{'f1': 0.8729851708575114}	{'accuracy': 0.8111217641418984}
0.0054	721.0	193228	1.7314	{'f1': 0.8733850129198967}	{'accuracy': 0.8120805369127517}
0.0054	722.0	193496	1.7528	{'f1': 0.872680742162508}	{'accuracy': 0.8092042186001918}
0.0063	723.0	193764	1.6435	{'f1': 0.878334417696812}	{'accuracy': 0.8207094918504314}
0.0038	724.0	194032	1.7055	{'f1': 0.8752424046541694}	{'accuracy': 0.8149568552253116}
0.0038	725.0	194300	1.6797	{'f1': 0.8792207792207791}	{'accuracy': 0.8216682646212847}
0.0039	726.0	194568	1.6571	{'f1': 0.8763897972531065}	{'accuracy': 0.8187919463087249}
0.0039	727.0	194836	1.7315	{'f1': 0.8745148771021992}	{'accuracy': 0.8139980824544583}
0.0031	728.0	195104	1.7590	{'f1': 0.8771929824561404}	{'accuracy': 0.8187919463087249}
0.0031	729.0	195372	1.7258	{'f1': 0.8795811518324608}	{'accuracy': 0.8235858101629914}
0.0052	730.0	195640	1.7521	{'f1': 0.8780804150453955}	{'accuracy': 0.8197507190795782}
0.0052	731.0	195908	1.8223	{'f1': 0.8764478764478765}	{'accuracy': 0.8159156279961649}
0.0041	732.0	196176	1.7688	{'f1': 0.8775113415424498}	{'accuracy': 0.8187919463087249}
0.0041	733.0	196444	1.8872	{'f1': 0.8735632183908045}	{'accuracy': 0.8101629913710451}
0.004	734.0	196712	1.7450	{'f1': 0.8783958602846055}	{'accuracy': 0.8197507190795782}
0.004	735.0	196980	1.7980	{'f1': 0.8787096774193548}	{'accuracy': 0.8197507190795782}
0.0033	736.0	197248	1.7714	{'f1': 0.8805681084570691}	{'accuracy': 0.822627037392138}
0.0038	737.0	197516	1.8320	{'f1': 0.8804627249357326}	{'accuracy': 0.8216682646212847}
0.0038	738.0	197784	1.7244	{'f1': 0.8816219751471549}	{'accuracy': 0.8264621284755513}
0.0059	739.0	198052	1.7333	{'f1': 0.8810457516339869}	{'accuracy': 0.825503355704698}
0.0059	740.0	198320	1.7029	{'f1': 0.8800530152418821}	{'accuracy': 0.8264621284755513}
0.0038	741.0	198588	1.9830	{'f1': 0.8749206349206349}	{'accuracy': 0.8111217641418984}
0.0038	742.0	198856	1.7379	{'f1': 0.8807817589576548}	{'accuracy': 0.8245445829338447}
0.0059	743.0	199124	1.7981	{'f1': 0.8773281952472703}	{'accuracy': 0.8168744007670182}
0.0059	744.0	199392	1.6733	{'f1': 0.8791639451338994}	{'accuracy': 0.822627037392138}
0.0067	745.0	199660	1.6431	{'f1': 0.881311475409836}	{'accuracy': 0.8264621284755513}
0.0067	746.0	199928	1.7976	{'f1': 0.8766066838046273}	{'accuracy': 0.8159156279961649}
0.0038	747.0	200196	1.8288	{'f1': 0.8766066838046273}	{'accuracy': 0.8159156279961649}
0.0038	748.0	200464	1.8158	{'f1': 0.8766946417043254}	{'accuracy': 0.8168744007670182}
0.0027	749.0	200732	1.8319	{'f1': 0.8778280542986426}	{'accuracy': 0.8187919463087249}
0.0049	750.0	201000	1.7412	{'f1': 0.8777633289986997}	{'accuracy': 0.8197507190795782}
0.0049	751.0	201268	1.7763	{'f1': 0.8748387096774194}	{'accuracy': 0.8139980824544583}
0.0055	752.0	201536	1.8193	{'f1': 0.8748403575989783}	{'accuracy': 0.8120805369127517}
0.0055	753.0	201804	1.8406	{'f1': 0.8746803069053708}	{'accuracy': 0.8120805369127517}
0.0046	754.0	202072	1.7268	{'f1': 0.8787096774193548}	{'accuracy': 0.8197507190795782}
0.0046	755.0	202340	1.7142	{'f1': 0.8805194805194805}	{'accuracy': 0.8235858101629914}
0.0047	756.0	202608	1.6997	{'f1': 0.8845144356955381}	{'accuracy': 0.8312559923298178}
0.0047	757.0	202876	1.7258	{'f1': 0.881664499349805}	{'accuracy': 0.825503355704698}
0.0031	758.0	203144	1.7215	{'f1': 0.8804137039431158}	{'accuracy': 0.822627037392138}
0.0031	759.0	203412	1.5866	{'f1': 0.8869795109054858}	{'accuracy': 0.8360498561840843}
0.0053	760.0	203680	1.6946	{'f1': 0.8788075178224238}	{'accuracy': 0.8207094918504314}
0.0053	761.0	203948	1.6686	{'f1': 0.8820445609436436}	{'accuracy': 0.8274209012464045}
0.0041	762.0	204216	1.7516	{'f1': 0.8786502271252432}	{'accuracy': 0.8207094918504314}
0.0041	763.0	204484	1.5971	{'f1': 0.8853545394300861}	{'accuracy': 0.8341323106423778}
0.0056	764.0	204752	1.6843	{'f1': 0.8804702808621816}	{'accuracy': 0.8245445829338447}
0.0043	765.0	205020	1.7372	{'f1': 0.8787483702737942}	{'accuracy': 0.8216682646212847}
0.0043	766.0	205288	1.6615	{'f1': 0.8798938287989383}	{'accuracy': 0.8264621284755513}
0.0043	767.0	205556	1.6561	{'f1': 0.8761528326745718}	{'accuracy': 0.8197507190795782}
0.0043	768.0	205824	1.7583	{'f1': 0.8775113415424498}	{'accuracy': 0.8187919463087249}
0.0053	769.0	206092	1.7672	{'f1': 0.8773523685918235}	{'accuracy': 0.8187919463087249}
0.0053	770.0	206360	1.7304	{'f1': 0.8817065287653523}	{'accuracy': 0.8245445829338447}
0.0056	771.0	206628	1.8357	{'f1': 0.8738853503184713}	{'accuracy': 0.8101629913710451}
0.0056	772.0	206896	1.7828	{'f1': 0.8734746307000643}	{'accuracy': 0.8111217641418984}
0.0062	773.0	207164	1.6784	{'f1': 0.8809993425378042}	{'accuracy': 0.8264621284755513}
0.0062	774.0	207432	1.8125	{'f1': 0.875724404378622}	{'accuracy': 0.8149568552253116}
0.0045	775.0	207700	1.6581	{'f1': 0.8825481088254811}	{'accuracy': 0.8302972195589645}
0.0045	776.0	207968	1.8068	{'f1': 0.875724404378622}	{'accuracy': 0.8149568552253116}
0.0042	777.0	208236	1.6534	{'f1': 0.8825065274151437}	{'accuracy': 0.8274209012464045}
0.0037	778.0	208504	1.6978	{'f1': 0.8825438027255029}	{'accuracy': 0.8264621284755513}
0.0037	779.0	208772	1.7502	{'f1': 0.8805681084570691}	{'accuracy': 0.822627037392138}
0.0045	780.0	209040	1.6534	{'f1': 0.8816219751471549}	{'accuracy': 0.8264621284755513}
0.0045	781.0	209308	1.7469	{'f1': 0.8824289405684754}	{'accuracy': 0.825503355704698}
0.0041	782.0	209576	1.6870	{'f1': 0.8852672750977836}	{'accuracy': 0.8312559923298178}
0.0041	783.0	209844	1.6736	{'f1': 0.881201044386423}	{'accuracy': 0.825503355704698}
0.0056	784.0	210112	1.6185	{'f1': 0.8846153846153847}	{'accuracy': 0.8331735378715245}
0.0056	785.0	210380	1.7621	{'f1': 0.8789808917197452}	{'accuracy': 0.8178331735378715}
0.0045	786.0	210648	1.7368	{'f1': 0.8815958815958816}	{'accuracy': 0.8235858101629914}
0.0045	787.0	210916	1.6879	{'f1': 0.882084690553746}	{'accuracy': 0.8264621284755513}
0.0048	788.0	211184	1.6329	{'f1': 0.8829300196206671}	{'accuracy': 0.8283796740172579}
0.0048	789.0	211452	1.5510	{'f1': 0.8840291583830351}	{'accuracy': 0.8322147651006712}
0.0066	790.0	211720	1.7462	{'f1': 0.8772378516624041}	{'accuracy': 0.8159156279961649}
0.0066	791.0	211988	1.6829	{'f1': 0.8778920308483289}	{'accuracy': 0.8178331735378715}
0.0052	792.0	212256	1.7384	{'f1': 0.8765195137555982}	{'accuracy': 0.8149568552253116}
0.0046	793.0	212524	1.5288	{'f1': 0.8831683168316831}	{'accuracy': 0.8302972195589645}
0.0046	794.0	212792	1.6314	{'f1': 0.8778280542986426}	{'accuracy': 0.8187919463087249}
0.0036	795.0	213060	1.6961	{'f1': 0.8783000643915004}	{'accuracy': 0.8187919463087249}
0.0036	796.0	213328	1.6279	{'f1': 0.8826597131681878}	{'accuracy': 0.8274209012464045}
0.0086	797.0	213596	1.5934	{'f1': 0.8838416612589227}	{'accuracy': 0.8283796740172579}
0.0086	798.0	213864	1.6056	{'f1': 0.8822381262199089}	{'accuracy': 0.8264621284755513}
0.0023	799.0	214132	1.7151	{'f1': 0.8797427652733119}	{'accuracy': 0.8207094918504314}
0.0023	800.0	214400	1.6747	{'f1': 0.8808290155440415}	{'accuracy': 0.8235858101629914}
0.0048	801.0	214668	1.6526	{'f1': 0.8839634941329856}	{'accuracy': 0.8293384467881112}
0.0048	802.0	214936	1.8124	{'f1': 0.8766773162939298}	{'accuracy': 0.8149568552253116}
0.004	803.0	215204	1.6009	{'f1': 0.8869795109054858}	{'accuracy': 0.8360498561840843}
0.004	804.0	215472	1.6713	{'f1': 0.8837820091923834}	{'accuracy': 0.8302972195589645}
0.0035	805.0	215740	1.7786	{'f1': 0.8776699029126214}	{'accuracy': 0.8187919463087249}
0.009	806.0	216008	1.6155	{'f1': 0.8824688115561392}	{'accuracy': 0.8283796740172579}
0.009	807.0	216276	1.8566	{'f1': 0.8777070063694268}	{'accuracy': 0.8159156279961649}
0.0044	808.0	216544	1.8075	{'f1': 0.8778920308483289}	{'accuracy': 0.8178331735378715}
0.0044	809.0	216812	1.7520	{'f1': 0.8754863813229572}	{'accuracy': 0.8159156279961649}
0.0038	810.0	217080	1.7588	{'f1': 0.8754034861200773}	{'accuracy': 0.8149568552253116}
0.0038	811.0	217348	1.7571	{'f1': 0.8753213367609254}	{'accuracy': 0.8139980824544583}
0.0024	812.0	217616	1.6821	{'f1': 0.8778280542986426}	{'accuracy': 0.8187919463087249}
0.0024	813.0	217884	1.7767	{'f1': 0.8738853503184713}	{'accuracy': 0.8101629913710451}
0.0046	814.0	218152	1.6097	{'f1': 0.8815104166666666}	{'accuracy': 0.825503355704698}
0.0046	815.0	218420	1.7486	{'f1': 0.8780487804878049}	{'accuracy': 0.8178331735378715}
0.0037	816.0	218688	1.6667	{'f1': 0.8786502271252432}	{'accuracy': 0.8207094918504314}
0.0037	817.0	218956	1.7741	{'f1': 0.8809218950064021}	{'accuracy': 0.8216682646212847}
0.0039	818.0	219224	1.7586	{'f1': 0.8778920308483289}	{'accuracy': 0.8178331735378715}
0.0039	819.0	219492	1.8500	{'f1': 0.874442319949012}	{'accuracy': 0.8111217641418984}
0.0042	820.0	219760	1.6335	{'f1': 0.8850952068286276}	{'accuracy': 0.8322147651006712}
0.0035	821.0	220028	1.7159	{'f1': 0.8780804150453955}	{'accuracy': 0.8197507190795782}
0.0035	822.0	220296	1.6268	{'f1': 0.8826229508196721}	{'accuracy': 0.8283796740172579}
0.0034	823.0	220564	1.7472	{'f1': 0.8779857972885732}	{'accuracy': 0.8187919463087249}
0.0034	824.0	220832	1.7281	{'f1': 0.8792207792207791}	{'accuracy': 0.8216682646212847}
0.0043	825.0	221100	1.9709	{'f1': 0.8708860759493672}	{'accuracy': 0.8044103547459253}
0.0043	826.0	221368	1.7841	{'f1': 0.8775113415424498}	{'accuracy': 0.8187919463087249}
0.0029	827.0	221636	1.6511	{'f1': 0.8821593153390389}	{'accuracy': 0.8283796740172579}
0.0029	828.0	221904	1.6653	{'f1': 0.8839344262295081}	{'accuracy': 0.8302972195589645}
0.0066	829.0	222172	1.7373	{'f1': 0.881664499349805}	{'accuracy': 0.825503355704698}
0.0066	830.0	222440	1.8514	{'f1': 0.8765195137555982}	{'accuracy': 0.8149568552253116}
0.0038	831.0	222708	1.6693	{'f1': 0.8815533980582524}	{'accuracy': 0.8245445829338447}
0.0038	832.0	222976	1.7700	{'f1': 0.8760436737315349}	{'accuracy': 0.8149568552253116}
0.0083	833.0	223244	1.7370	{'f1': 0.875968992248062}	{'accuracy': 0.8159156279961649}
0.0037	834.0	223512	1.8060	{'f1': 0.8738738738738738}	{'accuracy': 0.8120805369127517}
0.0037	835.0	223780	1.8111	{'f1': 0.8721901091843288}	{'accuracy': 0.8092042186001918}
0.0041	836.0	224048	1.7567	{'f1': 0.8745148771021992}	{'accuracy': 0.8139980824544583}
0.0041	837.0	224316	1.7176	{'f1': 0.87890625}	{'accuracy': 0.8216682646212847}
0.0026	838.0	224584	1.8231	{'f1': 0.8725868725868725}	{'accuracy': 0.8101629913710451}
0.0026	839.0	224852	1.8063	{'f1': 0.8719590268886044}	{'accuracy': 0.8082454458293384}
0.005	840.0	225120	1.6256	{'f1': 0.8833551769331585}	{'accuracy': 0.8293384467881112}
0.005	841.0	225388	1.6150	{'f1': 0.8843626806833115}	{'accuracy': 0.8312559923298178}
0.0057	842.0	225656	1.7313	{'f1': 0.8792207792207791}	{'accuracy': 0.8216682646212847}
0.0057	843.0	225924	1.6658	{'f1': 0.8835078534031414}	{'accuracy': 0.8293384467881112}
0.0044	844.0	226192	1.7049	{'f1': 0.8786502271252432}	{'accuracy': 0.8207094918504314}
0.0044	845.0	226460	1.7423	{'f1': 0.8794326241134752}	{'accuracy': 0.8207094918504314}
0.0039	846.0	226728	1.8133	{'f1': 0.8756410256410255}	{'accuracy': 0.8139980824544583}
0.0039	847.0	226996	1.6587	{'f1': 0.8805774278215224}	{'accuracy': 0.825503355704698}
0.0055	848.0	227264	1.7479	{'f1': 0.8728211749515816}	{'accuracy': 0.8111217641418984}
0.0044	849.0	227532	1.8513	{'f1': 0.8759493670886076}	{'accuracy': 0.8120805369127517}
0.0044	850.0	227800	1.6038	{'f1': 0.8830486202365309}	{'accuracy': 0.8293384467881112}
0.0051	851.0	228068	1.5725	{'f1': 0.884589726484323}	{'accuracy': 0.8341323106423778}
0.0051	852.0	228336	1.6583	{'f1': 0.8780804150453955}	{'accuracy': 0.8197507190795782}
0.0055	853.0	228604	1.6347	{'f1': 0.87890625}	{'accuracy': 0.8216682646212847}
0.0055	854.0	228872	1.6689	{'f1': 0.8789644012944984}	{'accuracy': 0.8207094918504314}
0.0058	855.0	229140	1.6962	{'f1': 0.8754034861200773}	{'accuracy': 0.8149568552253116}
0.0058	856.0	229408	1.7181	{'f1': 0.8777348777348777}	{'accuracy': 0.8178331735378715}
0.0046	857.0	229676	1.6005	{'f1': 0.8808900523560209}	{'accuracy': 0.825503355704698}
0.0046	858.0	229944	1.6238	{'f1': 0.883013879709187}	{'accuracy': 0.8302972195589645}
0.0026	859.0	230212	1.7520	{'f1': 0.8784565916398713}	{'accuracy': 0.8187919463087249}
0.0026	860.0	230480	1.6015	{'f1': 0.884896872920825}	{'accuracy': 0.8341323106423778}
0.0039	861.0	230748	1.7206	{'f1': 0.8798449612403101}	{'accuracy': 0.8216682646212847}
0.0034	862.0	231016	1.7790	{'f1': 0.8785166240409207}	{'accuracy': 0.8178331735378715}
0.0034	863.0	231284	1.6350	{'f1': 0.8852459016393444}	{'accuracy': 0.8322147651006712}
0.0037	864.0	231552	1.5944	{'f1': 0.8856576338400529}	{'accuracy': 0.8341323106423778}
0.0037	865.0	231820	1.7224	{'f1': 0.8827319587628866}	{'accuracy': 0.825503355704698}
0.0039	866.0	232088	1.7204	{'f1': 0.8798449612403101}	{'accuracy': 0.8216682646212847}
0.0039	867.0	232356	1.8272	{'f1': 0.8802547770700637}	{'accuracy': 0.8197507190795782}
0.0035	868.0	232624	1.7540	{'f1': 0.8810289389067525}	{'accuracy': 0.822627037392138}
0.0035	869.0	232892	1.7437	{'f1': 0.8801546391752577}	{'accuracy': 0.8216682646212847}
0.0038	870.0	233160	1.7174	{'f1': 0.8810289389067525}	{'accuracy': 0.822627037392138}
0.0038	871.0	233428	1.7520	{'f1': 0.8777348777348777}	{'accuracy': 0.8178331735378715}
0.005	872.0	233696	1.7174	{'f1': 0.8798449612403101}	{'accuracy': 0.8216682646212847}
0.005	873.0	233964	1.5598	{'f1': 0.8810160427807487}	{'accuracy': 0.8293384467881112}
0.0051	874.0	234232	1.6021	{'f1': 0.8775645268034415}	{'accuracy': 0.822627037392138}
0.0027	875.0	234500	1.6392	{'f1': 0.879526003949967}	{'accuracy': 0.8245445829338447}
0.0027	876.0	234768	1.6905	{'f1': 0.882084690553746}	{'accuracy': 0.8264621284755513}
0.0027	877.0	235036	1.7570	{'f1': 0.8809831824062095}	{'accuracy': 0.8235858101629914}
0.0027	878.0	235304	1.8483	{'f1': 0.8786717752234994}	{'accuracy': 0.8178331735378715}
0.0072	879.0	235572	1.8065	{'f1': 0.8762886597938144}	{'accuracy': 0.8159156279961649}
0.0072	880.0	235840	1.6987	{'f1': 0.8783694937541091}	{'accuracy': 0.822627037392138}
0.0046	881.0	236108	1.7673	{'f1': 0.8767833981841764}	{'accuracy': 0.8178331735378715}
0.0046	882.0	236376	1.8220	{'f1': 0.8797953964194373}	{'accuracy': 0.8197507190795782}
0.0045	883.0	236644	1.7788	{'f1': 0.8774193548387096}	{'accuracy': 0.8178331735378715}
0.0045	884.0	236912	1.7548	{'f1': 0.8793774319066148}	{'accuracy': 0.8216682646212847}
0.0037	885.0	237180	1.8482	{'f1': 0.8737988468930173}	{'accuracy': 0.8111217641418984}
0.0037	886.0	237448	1.7246	{'f1': 0.8803139306736429}	{'accuracy': 0.8245445829338447}
0.0043	887.0	237716	1.7016	{'f1': 0.8825065274151437}	{'accuracy': 0.8274209012464045}
0.0043	888.0	237984	1.7859	{'f1': 0.8767833981841764}	{'accuracy': 0.8178331735378715}
0.0024	889.0	238252	1.7984	{'f1': 0.8766946417043254}	{'accuracy': 0.8168744007670182}
0.0039	890.0	238520	1.8528	{'f1': 0.8770122343850613}	{'accuracy': 0.8168744007670182}
0.0039	891.0	238788	1.8695	{'f1': 0.8775773195876289}	{'accuracy': 0.8178331735378715}
0.0027	892.0	239056	1.8291	{'f1': 0.8783000643915004}	{'accuracy': 0.8187919463087249}
0.0027	893.0	239324	1.8205	{'f1': 0.8775773195876289}	{'accuracy': 0.8178331735378715}
0.0029	894.0	239592	1.7720	{'f1': 0.881664499349805}	{'accuracy': 0.825503355704698}
0.0029	895.0	239860	1.7360	{'f1': 0.8827766863130322}	{'accuracy': 0.8283796740172579}
0.004	896.0	240128	1.8698	{'f1': 0.8805681084570691}	{'accuracy': 0.822627037392138}
0.004	897.0	240396	1.7753	{'f1': 0.8835078534031414}	{'accuracy': 0.8293384467881112}
0.0021	898.0	240664	1.8340	{'f1': 0.8793774319066148}	{'accuracy': 0.8216682646212847}
0.0021	899.0	240932	1.7983	{'f1': 0.8815104166666666}	{'accuracy': 0.825503355704698}
0.0033	900.0	241200	1.7796	{'f1': 0.8795336787564768}	{'accuracy': 0.8216682646212847}
0.0033	901.0	241468	1.7700	{'f1': 0.8787483702737942}	{'accuracy': 0.8216682646212847}
0.0067	902.0	241736	1.9109	{'f1': 0.877642536835362}	{'accuracy': 0.8168744007670182}
0.0037	903.0	242004	1.8321	{'f1': 0.8753213367609254}	{'accuracy': 0.8139980824544583}
0.0037	904.0	242272	1.8963	{'f1': 0.8732394366197184}	{'accuracy': 0.8101629913710451}
0.0028	905.0	242540	1.9076	{'f1': 0.8746803069053708}	{'accuracy': 0.8120805369127517}
0.0028	906.0	242808	1.8290	{'f1': 0.8733118971061095}	{'accuracy': 0.8111217641418984}
0.0073	907.0	243076	1.8120	{'f1': 0.8735483870967742}	{'accuracy': 0.8120805369127517}
0.0073	908.0	243344	1.7870	{'f1': 0.8767833981841764}	{'accuracy': 0.8178331735378715}
0.0047	909.0	243612	1.7056	{'f1': 0.88}	{'accuracy': 0.8245445829338447}
0.0047	910.0	243880	1.7776	{'f1': 0.8796356538711776}	{'accuracy': 0.822627037392138}
0.0032	911.0	244148	1.7314	{'f1': 0.8784313725490197}	{'accuracy': 0.8216682646212847}
0.0032	912.0	244416	1.9044	{'f1': 0.8773946360153257}	{'accuracy': 0.8159156279961649}
0.0018	913.0	244684	1.7254	{'f1': 0.8805774278215224}	{'accuracy': 0.825503355704698}
0.0018	914.0	244952	1.7534	{'f1': 0.8834759710335748}	{'accuracy': 0.8302972195589645}
0.0051	915.0	245220	1.7663	{'f1': 0.8793215916503588}	{'accuracy': 0.822627037392138}
0.0051	916.0	245488	1.8056	{'f1': 0.8799480856586632}	{'accuracy': 0.822627037392138}
0.0041	917.0	245756	1.7533	{'f1': 0.8833551769331585}	{'accuracy': 0.8293384467881112}
0.003	918.0	246024	1.8135	{'f1': 0.8790637191157347}	{'accuracy': 0.8216682646212847}
0.003	919.0	246292	1.7684	{'f1': 0.8771929824561404}	{'accuracy': 0.8187919463087249}
0.0054	920.0	246560	1.8179	{'f1': 0.8795336787564768}	{'accuracy': 0.8216682646212847}
0.0054	921.0	246828	1.8098	{'f1': 0.8792207792207791}	{'accuracy': 0.8216682646212847}
0.0033	922.0	247096	1.8191	{'f1': 0.8769633507853404}	{'accuracy': 0.8197507190795782}
0.0033	923.0	247364	1.8498	{'f1': 0.8798955613577023}	{'accuracy': 0.8235858101629914}
0.0028	924.0	247632	1.8232	{'f1': 0.8800521512385918}	{'accuracy': 0.8235858101629914}
0.0028	925.0	247900	1.8013	{'f1': 0.8794788273615636}	{'accuracy': 0.822627037392138}
0.0069	926.0	248168	1.9143	{'f1': 0.8725176169122358}	{'accuracy': 0.8092042186001918}
0.0069	927.0	248436	1.9115	{'f1': 0.8741976893453146}	{'accuracy': 0.8120805369127517}
0.0035	928.0	248704	1.7548	{'f1': 0.8842380640941793}	{'accuracy': 0.8302972195589645}
0.0035	929.0	248972	1.6685	{'f1': 0.8872775214238628}	{'accuracy': 0.8360498561840843}
0.0039	930.0	249240	1.6608	{'f1': 0.8842105263157894}	{'accuracy': 0.8312559923298178}
0.0064	931.0	249508	1.6370	{'f1': 0.8835978835978837}	{'accuracy': 0.8312559923298178}
0.0064	932.0	249776	1.8191	{'f1': 0.8765352294764059}	{'accuracy': 0.8168744007670182}
0.0036	933.0	250044	1.7709	{'f1': 0.8793215916503588}	{'accuracy': 0.822627037392138}
0.0036	934.0	250312	1.8190	{'f1': 0.8761290322580645}	{'accuracy': 0.8159156279961649}
0.0032	935.0	250580	1.7693	{'f1': 0.8780804150453955}	{'accuracy': 0.8197507190795782}
0.0032	936.0	250848	1.7449	{'f1': 0.8795811518324608}	{'accuracy': 0.8235858101629914}
0.0024	937.0	251116	1.8426	{'f1': 0.8778920308483289}	{'accuracy': 0.8178331735378715}
0.0024	938.0	251384	1.9520	{'f1': 0.8733459357277883}	{'accuracy': 0.8072866730584851}
0.0043	939.0	251652	1.7875	{'f1': 0.8796895213454075}	{'accuracy': 0.8216682646212847}
0.0043	940.0	251920	1.7743	{'f1': 0.8835393623942747}	{'accuracy': 0.8283796740172579}
0.0026	941.0	252188	1.8042	{'f1': 0.8826960466623461}	{'accuracy': 0.8264621284755513}
0.0026	942.0	252456	1.7185	{'f1': 0.8832020997375328}	{'accuracy': 0.8293384467881112}
0.0022	943.0	252724	1.8951	{'f1': 0.8747591522157996}	{'accuracy': 0.8130393096836049}
0.0022	944.0	252992	1.8067	{'f1': 0.880674448767834}	{'accuracy': 0.8235858101629914}
0.0045	945.0	253260	1.8181	{'f1': 0.880103694102398}	{'accuracy': 0.822627037392138}
0.0019	946.0	253528	1.7585	{'f1': 0.8835078534031414}	{'accuracy': 0.8293384467881112}
0.0019	947.0	253796	1.7718	{'f1': 0.8828125}	{'accuracy': 0.8274209012464045}
0.0035	948.0	254064	1.7953	{'f1': 0.883419689119171}	{'accuracy': 0.8274209012464045}
0.0035	949.0	254332	1.8987	{'f1': 0.8789237668161436}	{'accuracy': 0.8187919463087249}
0.0024	950.0	254600	1.8300	{'f1': 0.8821243523316061}	{'accuracy': 0.825503355704698}
0.0024	951.0	254868	1.7962	{'f1': 0.8803641092327698}	{'accuracy': 0.8235858101629914}
0.0029	952.0	255136	1.8478	{'f1': 0.8815533980582524}	{'accuracy': 0.8245445829338447}
0.0029	953.0	255404	1.7880	{'f1': 0.8819308545335943}	{'accuracy': 0.8264621284755513}
0.0031	954.0	255672	1.7130	{'f1': 0.8839050131926122}	{'accuracy': 0.8312559923298178}
0.0031	955.0	255940	1.7727	{'f1': 0.8809831824062095}	{'accuracy': 0.8235858101629914}
0.0032	956.0	256208	1.8618	{'f1': 0.8789237668161436}	{'accuracy': 0.8187919463087249}
0.0032	957.0	256476	1.7039	{'f1': 0.8847926267281107}	{'accuracy': 0.8322147651006712}
0.0029	958.0	256744	1.7791	{'f1': 0.8858447488584474}	{'accuracy': 0.8322147651006712}
0.0045	959.0	257012	1.7812	{'f1': 0.8845401174168297}	{'accuracy': 0.8302972195589645}
0.0045	960.0	257280	1.8882	{'f1': 0.8772378516624041}	{'accuracy': 0.8159156279961649}
0.0033	961.0	257548	1.7006	{'f1': 0.8834437086092717}	{'accuracy': 0.8312559923298178}
0.0033	962.0	257816	1.8888	{'f1': 0.8780487804878049}	{'accuracy': 0.8178331735378715}
0.0043	963.0	258084	1.7166	{'f1': 0.8869795109054858}	{'accuracy': 0.8360498561840843}
0.0043	964.0	258352	1.7764	{'f1': 0.8830829523187459}	{'accuracy': 0.8283796740172579}
0.0029	965.0	258620	1.8232	{'f1': 0.8804137039431158}	{'accuracy': 0.822627037392138}
0.0029	966.0	258888	1.8520	{'f1': 0.8798449612403101}	{'accuracy': 0.8216682646212847}
0.0039	967.0	259156	1.7956	{'f1': 0.8841145833333333}	{'accuracy': 0.8293384467881112}
0.0039	968.0	259424	1.7899	{'f1': 0.8838120104438641}	{'accuracy': 0.8293384467881112}
0.005	969.0	259692	1.7714	{'f1': 0.8853754940711462}	{'accuracy': 0.8331735378715245}
0.005	970.0	259960	1.8541	{'f1': 0.881664499349805}	{'accuracy': 0.825503355704698}
0.0026	971.0	260228	1.8533	{'f1': 0.8826597131681878}	{'accuracy': 0.8274209012464045}
0.0026	972.0	260496	1.9431	{'f1': 0.8766066838046273}	{'accuracy': 0.8159156279961649}
0.0029	973.0	260764	1.8721	{'f1': 0.8841145833333333}	{'accuracy': 0.8293384467881112}
0.0033	974.0	261032	1.8050	{'f1': 0.88433575677462}	{'accuracy': 0.8322147651006712}
0.0033	975.0	261300	1.8258	{'f1': 0.8855461085676913}	{'accuracy': 0.8322147651006712}
0.0032	976.0	261568	1.7880	{'f1': 0.8815354070152218}	{'accuracy': 0.8283796740172579}
0.0032	977.0	261836	1.8582	{'f1': 0.8825065274151437}	{'accuracy': 0.8274209012464045}
0.0054	978.0	262104	1.8111	{'f1': 0.8820039551746869}	{'accuracy': 0.8283796740172579}
0.0054	979.0	262372	1.8732	{'f1': 0.881399870382372}	{'accuracy': 0.8245445829338447}
0.003	980.0	262640	1.8168	{'f1': 0.8823142669296515}	{'accuracy': 0.8283796740172579}
0.003	981.0	262908	1.8652	{'f1': 0.8821989528795812}	{'accuracy': 0.8274209012464045}
0.0027	982.0	263176	1.8022	{'f1': 0.8817345597897503}	{'accuracy': 0.8274209012464045}
0.0027	983.0	263444	1.8613	{'f1': 0.8836601307189542}	{'accuracy': 0.8293384467881112}
0.0048	984.0	263712	1.9481	{'f1': 0.8805681084570691}	{'accuracy': 0.822627037392138}
0.0048	985.0	263980	1.8413	{'f1': 0.8856956237753103}	{'accuracy': 0.8322147651006712}
0.003	986.0	264248	1.8189	{'f1': 0.8848167539267016}	{'accuracy': 0.8312559923298178}
0.0048	987.0	264516	1.8358	{'f1': 0.8842380640941793}	{'accuracy': 0.8302972195589645}
0.0048	988.0	264784	1.9688	{'f1': 0.8768536428110896}	{'accuracy': 0.8168744007670182}
0.0035	989.0	265052	1.9110	{'f1': 0.8812459441920829}	{'accuracy': 0.8245445829338447}
0.0035	990.0	265320	1.9088	{'f1': 0.880674448767834}	{'accuracy': 0.8235858101629914}
0.0034	991.0	265588	1.8523	{'f1': 0.8833876221498371}	{'accuracy': 0.8283796740172579}
0.0034	992.0	265856	1.9090	{'f1': 0.8783958602846055}	{'accuracy': 0.8197507190795782}
0.0043	993.0	266124	1.9719	{'f1': 0.8732394366197184}	{'accuracy': 0.8101629913710451}
0.0043	994.0	266392	1.8581	{'f1': 0.8792769528728211}	{'accuracy': 0.8207094918504314}
0.0032	995.0	266660	1.8710	{'f1': 0.8794326241134752}	{'accuracy': 0.8207094918504314}
0.0032	996.0	266928	1.7686	{'f1': 0.8827404479578393}	{'accuracy': 0.8293384467881112}
0.0022	997.0	267196	1.7697	{'f1': 0.8825857519788918}	{'accuracy': 0.8293384467881112}
0.0022	998.0	267464	1.7832	{'f1': 0.8823142669296515}	{'accuracy': 0.8283796740172579}
0.0023	999.0	267732	1.8761	{'f1': 0.8812459441920829}	{'accuracy': 0.8245445829338447}
0.003	1000.0	268000	1.8633	{'f1': 0.8822381262199089}	{'accuracy': 0.8264621284755513}
0.003	1001.0	268268	1.9415	{'f1': 0.8788659793814433}	{'accuracy': 0.8197507190795782}
0.0032	1002.0	268536	1.8288	{'f1': 0.8802631578947369}	{'accuracy': 0.825503355704698}
0.0032	1003.0	268804	1.9240	{'f1': 0.880722114764668}	{'accuracy': 0.822627037392138}
0.0026	1004.0	269072	1.9288	{'f1': 0.8841423948220065}	{'accuracy': 0.8283796740172579}
0.0026	1005.0	269340	1.8354	{'f1': 0.8823142669296515}	{'accuracy': 0.8283796740172579}
0.003	1006.0	269608	1.9312	{'f1': 0.8824289405684754}	{'accuracy': 0.825503355704698}
0.003	1007.0	269876	1.9980	{'f1': 0.8783610755441742}	{'accuracy': 0.8178331735378715}
0.0056	1008.0	270144	1.9172	{'f1': 0.8820116054158607}	{'accuracy': 0.8245445829338447}
0.0056	1009.0	270412	1.8910	{'f1': 0.8798449612403101}	{'accuracy': 0.8216682646212847}
0.0024	1010.0	270680	1.8348	{'f1': 0.8803641092327698}	{'accuracy': 0.8235858101629914}
0.0024	1011.0	270948	1.9444	{'f1': 0.8787684413085312}	{'accuracy': 0.8187919463087249}
0.0035	1012.0	271216	1.8986	{'f1': 0.8778280542986426}	{'accuracy': 0.8187919463087249}
0.0035	1013.0	271484	1.8286	{'f1': 0.8791639451338994}	{'accuracy': 0.822627037392138}
0.0023	1014.0	271752	1.9554	{'f1': 0.8765195137555982}	{'accuracy': 0.8149568552253116}
0.003	1015.0	272020	1.8654	{'f1': 0.8797920727745288}	{'accuracy': 0.822627037392138}
0.003	1016.0	272288	1.9021	{'f1': 0.8794326241134752}	{'accuracy': 0.8207094918504314}
0.0047	1017.0	272556	1.8398	{'f1': 0.8794233289646134}	{'accuracy': 0.8235858101629914}
0.0047	1018.0	272824	1.8313	{'f1': 0.8794233289646134}	{'accuracy': 0.8235858101629914}
0.0021	1019.0	273092	1.9474	{'f1': 0.8785529715762274}	{'accuracy': 0.8197507190795782}
0.0021	1020.0	273360	1.9078	{'f1': 0.8823911630929175}	{'accuracy': 0.8264621284755513}
0.0024	1021.0	273628	1.8744	{'f1': 0.8810457516339869}	{'accuracy': 0.825503355704698}
0.0024	1022.0	273896	1.9857	{'f1': 0.8761290322580645}	{'accuracy': 0.8159156279961649}
0.003	1023.0	274164	1.9581	{'f1': 0.8789644012944984}	{'accuracy': 0.8207094918504314}
0.003	1024.0	274432	1.8342	{'f1': 0.8828947368421053}	{'accuracy': 0.8293384467881112}
0.0037	1025.0	274700	1.9730	{'f1': 0.8776699029126214}	{'accuracy': 0.8187919463087249}
0.0037	1026.0	274968	1.8663	{'f1': 0.8848167539267016}	{'accuracy': 0.8312559923298178}
0.0022	1027.0	275236	1.8905	{'f1': 0.8835393623942747}	{'accuracy': 0.8283796740172579}
0.0049	1028.0	275504	1.9600	{'f1': 0.8774193548387096}	{'accuracy': 0.8178331735378715}
0.0049	1029.0	275772	1.9920	{'f1': 0.876765083440308}	{'accuracy': 0.8159156279961649}
0.0052	1030.0	276040	1.8970	{'f1': 0.8832684824902725}	{'accuracy': 0.8274209012464045}
0.0052	1031.0	276308	1.7975	{'f1': 0.8868421052631579}	{'accuracy': 0.835091083413231}
0.0023	1032.0	276576	1.9400	{'f1': 0.8781431334622825}	{'accuracy': 0.8187919463087249}
0.0023	1033.0	276844	1.8927	{'f1': 0.8792207792207791}	{'accuracy': 0.8216682646212847}
0.0024	1034.0	277112	1.8006	{'f1': 0.883322346736981}	{'accuracy': 0.8302972195589645}
0.0024	1035.0	277380	2.0195	{'f1': 0.876923076923077}	{'accuracy': 0.8159156279961649}
0.0042	1036.0	277648	1.8033	{'f1': 0.8833551769331585}	{'accuracy': 0.8293384467881112}
0.0042	1037.0	277916	1.9525	{'f1': 0.8762026940346376}	{'accuracy': 0.8149568552253116}
0.0042	1038.0	278184	1.8825	{'f1': 0.8810916179337233}	{'accuracy': 0.8245445829338447}
0.0042	1039.0	278452	1.9709	{'f1': 0.8761290322580645}	{'accuracy': 0.8159156279961649}
0.0033	1040.0	278720	1.9175	{'f1': 0.8800000000000001}	{'accuracy': 0.8216682646212847}
0.0033	1041.0	278988	1.7999	{'f1': 0.8821593153390389}	{'accuracy': 0.8283796740172579}
0.003	1042.0	279256	1.9391	{'f1': 0.8780487804878049}	{'accuracy': 0.8178331735378715}
0.0044	1043.0	279524	1.9390	{'f1': 0.8797427652733119}	{'accuracy': 0.8207094918504314}
0.0044	1044.0	279792	1.7404	{'f1': 0.886968085106383}	{'accuracy': 0.8370086289549377}
0.0027	1045.0	280060	1.9139	{'f1': 0.8822768434670116}	{'accuracy': 0.825503355704698}
0.0027	1046.0	280328	1.8573	{'f1': 0.8849902534113061}	{'accuracy': 0.8302972195589645}
0.0028	1047.0	280596	1.8974	{'f1': 0.8796895213454075}	{'accuracy': 0.8216682646212847}
0.0028	1048.0	280864	1.9556	{'f1': 0.8768536428110896}	{'accuracy': 0.8168744007670182}
0.0037	1049.0	281132	1.9721	{'f1': 0.8781431334622825}	{'accuracy': 0.8187919463087249}
0.0037	1050.0	281400	1.8445	{'f1': 0.881201044386423}	{'accuracy': 0.825503355704698}
0.0027	1051.0	281668	1.8529	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0027	1052.0	281936	1.8861	{'f1': 0.8810916179337233}	{'accuracy': 0.8245445829338447}
0.0032	1053.0	282204	1.9200	{'f1': 0.8786502271252432}	{'accuracy': 0.8207094918504314}
0.0032	1054.0	282472	1.8420	{'f1': 0.8795811518324608}	{'accuracy': 0.8235858101629914}
0.0022	1055.0	282740	1.8641	{'f1': 0.8796356538711776}	{'accuracy': 0.822627037392138}
0.0046	1056.0	283008	2.0412	{'f1': 0.8737244897959184}	{'accuracy': 0.8101629913710451}
0.0046	1057.0	283276	1.9593	{'f1': 0.876765083440308}	{'accuracy': 0.8159156279961649}
0.0025	1058.0	283544	1.8894	{'f1': 0.8782383419689119}	{'accuracy': 0.8197507190795782}
0.0025	1059.0	283812	1.9341	{'f1': 0.8747591522157996}	{'accuracy': 0.8130393096836049}
0.007	1060.0	284080	1.8257	{'f1': 0.8778280542986426}	{'accuracy': 0.8187919463087249}
0.007	1061.0	284348	1.9134	{'f1': 0.8754813863928111}	{'accuracy': 0.8139980824544583}
0.0023	1062.0	284616	1.7726	{'f1': 0.8819308545335943}	{'accuracy': 0.8264621284755513}
0.0023	1063.0	284884	1.9423	{'f1': 0.8726114649681528}	{'accuracy': 0.8082454458293384}
0.0058	1064.0	285152	1.7419	{'f1': 0.8798955613577023}	{'accuracy': 0.8235858101629914}
0.0058	1065.0	285420	1.8181	{'f1': 0.8752424046541694}	{'accuracy': 0.8149568552253116}
0.0019	1066.0	285688	1.8312	{'f1': 0.8746770025839793}	{'accuracy': 0.8139980824544583}
0.0019	1067.0	285956	1.6782	{'f1': 0.8791064388961892}	{'accuracy': 0.8235858101629914}
0.0027	1068.0	286224	1.7993	{'f1': 0.8757319453480807}	{'accuracy': 0.8168744007670182}
0.0027	1069.0	286492	1.8997	{'f1': 0.8762026940346376}	{'accuracy': 0.8149568552253116}
0.0027	1070.0	286760	1.8941	{'f1': 0.8760436737315349}	{'accuracy': 0.8149568552253116}
0.0034	1071.0	287028	1.7802	{'f1': 0.8790058862001309}	{'accuracy': 0.822627037392138}
0.0034	1072.0	287296	1.8261	{'f1': 0.8772609819121446}	{'accuracy': 0.8178331735378715}
0.0041	1073.0	287564	1.7698	{'f1': 0.877444589308996}	{'accuracy': 0.8197507190795782}
0.0041	1074.0	287832	1.9026	{'f1': 0.8756410256410255}	{'accuracy': 0.8139980824544583}
0.0031	1075.0	288100	1.8199	{'f1': 0.881399870382372}	{'accuracy': 0.8245445829338447}
0.0031	1076.0	288368	1.7601	{'f1': 0.8807817589576548}	{'accuracy': 0.8245445829338447}
0.0041	1077.0	288636	1.8057	{'f1': 0.8804137039431158}	{'accuracy': 0.822627037392138}
0.0041	1078.0	288904	1.8665	{'f1': 0.8754813863928111}	{'accuracy': 0.8139980824544583}
0.0036	1079.0	289172	1.8196	{'f1': 0.8775773195876289}	{'accuracy': 0.8178331735378715}
0.0036	1080.0	289440	1.9006	{'f1': 0.8772378516624041}	{'accuracy': 0.8159156279961649}
0.003	1081.0	289708	1.7250	{'f1': 0.8830829523187459}	{'accuracy': 0.8283796740172579}
0.003	1082.0	289976	1.9282	{'f1': 0.8766773162939298}	{'accuracy': 0.8149568552253116}
0.0034	1083.0	290244	1.7364	{'f1': 0.8816219751471549}	{'accuracy': 0.8264621284755513}
0.0036	1084.0	290512	1.7771	{'f1': 0.8800521512385918}	{'accuracy': 0.8235858101629914}
0.0036	1085.0	290780	1.7554	{'f1': 0.8835078534031414}	{'accuracy': 0.8293384467881112}
0.0022	1086.0	291048	1.7554	{'f1': 0.880842659644503}	{'accuracy': 0.8264621284755513}
0.0022	1087.0	291316	1.8834	{'f1': 0.8781431334622825}	{'accuracy': 0.8187919463087249}
0.0034	1088.0	291584	1.9937	{'f1': 0.8724489795918368}	{'accuracy': 0.8082454458293384}
0.0034	1089.0	291852	1.8842	{'f1': 0.8778920308483289}	{'accuracy': 0.8178331735378715}
0.0041	1090.0	292120	1.7706	{'f1': 0.881201044386423}	{'accuracy': 0.825503355704698}
0.0041	1091.0	292388	1.9328	{'f1': 0.8787684413085312}	{'accuracy': 0.8187919463087249}
0.0034	1092.0	292656	1.9214	{'f1': 0.8770806658130602}	{'accuracy': 0.8159156279961649}
0.0034	1093.0	292924	1.6807	{'f1': 0.8881535407015221}	{'accuracy': 0.837967401725791}
0.0042	1094.0	293192	1.8737	{'f1': 0.8804627249357326}	{'accuracy': 0.8216682646212847}
0.0042	1095.0	293460	1.8598	{'f1': 0.8792769528728211}	{'accuracy': 0.8207094918504314}
0.0048	1096.0	293728	1.6615	{'f1': 0.8847926267281107}	{'accuracy': 0.8322147651006712}
0.0048	1097.0	293996	1.7572	{'f1': 0.8803641092327698}	{'accuracy': 0.8235858101629914}
0.0026	1098.0	294264	1.8020	{'f1': 0.8765352294764059}	{'accuracy': 0.8168744007670182}
0.0029	1099.0	294532	1.8817	{'f1': 0.8794871794871796}	{'accuracy': 0.8197507190795782}
0.0029	1100.0	294800	1.8713	{'f1': 0.877642536835362}	{'accuracy': 0.8168744007670182}
0.0021	1101.0	295068	1.8253	{'f1': 0.8787096774193548}	{'accuracy': 0.8197507190795782}
0.0021	1102.0	295336	1.8152	{'f1': 0.8775113415424498}	{'accuracy': 0.8187919463087249}
0.0023	1103.0	295604	1.9678	{'f1': 0.8785166240409207}	{'accuracy': 0.8178331735378715}
0.0023	1104.0	295872	1.7870	{'f1': 0.8804702808621816}	{'accuracy': 0.8245445829338447}
0.0028	1105.0	296140	1.7280	{'f1': 0.8835662009314704}	{'accuracy': 0.8322147651006712}
0.0028	1106.0	296408	2.0007	{'f1': 0.8796944621260344}	{'accuracy': 0.8187919463087249}
0.0029	1107.0	296676	1.8255	{'f1': 0.8817065287653523}	{'accuracy': 0.8245445829338447}
0.0029	1108.0	296944	1.9466	{'f1': 0.8807692307692307}	{'accuracy': 0.8216682646212847}
0.0043	1109.0	297212	1.8808	{'f1': 0.8821635544108178}	{'accuracy': 0.8245445829338447}
0.0043	1110.0	297480	1.8432	{'f1': 0.8824289405684754}	{'accuracy': 0.825503355704698}
0.0045	1111.0	297748	1.8335	{'f1': 0.881664499349805}	{'accuracy': 0.825503355704698}
0.002	1112.0	298016	1.8473	{'f1': 0.8818181818181818}	{'accuracy': 0.825503355704698}
0.002	1113.0	298284	2.0208	{'f1': 0.876991714467814}	{'accuracy': 0.8149568552253116}
0.0024	1114.0	298552	1.9311	{'f1': 0.8800513149454778}	{'accuracy': 0.8207094918504314}
0.0024	1115.0	298820	1.8597	{'f1': 0.8820116054158607}	{'accuracy': 0.8245445829338447}
0.0042	1116.0	299088	1.8163	{'f1': 0.8818181818181818}	{'accuracy': 0.825503355704698}
0.0042	1117.0	299356	1.9041	{'f1': 0.8781431334622825}	{'accuracy': 0.8187919463087249}
0.0018	1118.0	299624	1.8183	{'f1': 0.8828125}	{'accuracy': 0.8274209012464045}
0.0018	1119.0	299892	1.8276	{'f1': 0.8828125}	{'accuracy': 0.8274209012464045}
0.0023	1120.0	300160	1.9028	{'f1': 0.879177377892031}	{'accuracy': 0.8197507190795782}
0.0023	1121.0	300428	1.7665	{'f1': 0.8848167539267016}	{'accuracy': 0.8312559923298178}
0.0032	1122.0	300696	1.7775	{'f1': 0.881664499349805}	{'accuracy': 0.825503355704698}
0.0032	1123.0	300964	1.9306	{'f1': 0.877642536835362}	{'accuracy': 0.8168744007670182}
0.0038	1124.0	301232	1.7593	{'f1': 0.88296488946684}	{'accuracy': 0.8274209012464045}
0.0037	1125.0	301500	1.7302	{'f1': 0.8838120104438641}	{'accuracy': 0.8293384467881112}
0.0037	1126.0	301768	1.7594	{'f1': 0.88296488946684}	{'accuracy': 0.8274209012464045}
0.0048	1127.0	302036	1.8707	{'f1': 0.8783610755441742}	{'accuracy': 0.8178331735378715}
0.0048	1128.0	302304	1.7132	{'f1': 0.8852672750977836}	{'accuracy': 0.8312559923298178}
0.003	1129.0	302572	1.7302	{'f1': 0.8841145833333333}	{'accuracy': 0.8293384467881112}
0.003	1130.0	302840	1.7162	{'f1': 0.8851174934725848}	{'accuracy': 0.8312559923298178}
0.0026	1131.0	303108	1.7761	{'f1': 0.8812903225806452}	{'accuracy': 0.8235858101629914}
0.0026	1132.0	303376	1.8016	{'f1': 0.8804627249357326}	{'accuracy': 0.8216682646212847}
0.0024	1133.0	303644	1.7055	{'f1': 0.8859764089121887}	{'accuracy': 0.8331735378715245}
0.0024	1134.0	303912	1.7412	{'f1': 0.8865710560625816}	{'accuracy': 0.8331735378715245}
0.0016	1135.0	304180	1.7611	{'f1': 0.8836907082521118}	{'accuracy': 0.8283796740172579}
0.0016	1136.0	304448	1.7830	{'f1': 0.8844155844155843}	{'accuracy': 0.8293384467881112}
0.0028	1137.0	304716	1.7944	{'f1': 0.8797920727745288}	{'accuracy': 0.822627037392138}
0.0028	1138.0	304984	1.7152	{'f1': 0.8836601307189542}	{'accuracy': 0.8293384467881112}
0.0055	1139.0	305252	1.9301	{'f1': 0.8788265306122449}	{'accuracy': 0.8178331735378715}
0.0035	1140.0	305520	1.7817	{'f1': 0.880674448767834}	{'accuracy': 0.8235858101629914}
0.0035	1141.0	305788	1.6994	{'f1': 0.8827404479578393}	{'accuracy': 0.8293384467881112}
0.0048	1142.0	306056	1.7996	{'f1': 0.8804137039431158}	{'accuracy': 0.822627037392138}
0.0048	1143.0	306324	1.8155	{'f1': 0.8800000000000001}	{'accuracy': 0.8216682646212847}
0.0042	1144.0	306592	1.6932	{'f1': 0.883013879709187}	{'accuracy': 0.8302972195589645}
0.0042	1145.0	306860	1.9368	{'f1': 0.876991714467814}	{'accuracy': 0.8149568552253116}
0.0039	1146.0	307128	1.8765	{'f1': 0.8788659793814433}	{'accuracy': 0.8197507190795782}
0.0039	1147.0	307396	1.7851	{'f1': 0.8818181818181818}	{'accuracy': 0.825503355704698}
0.0034	1148.0	307664	1.8651	{'f1': 0.8788659793814433}	{'accuracy': 0.8197507190795782}
0.0034	1149.0	307932	1.8980	{'f1': 0.879177377892031}	{'accuracy': 0.8197507190795782}
0.0042	1150.0	308200	1.8739	{'f1': 0.8778920308483289}	{'accuracy': 0.8178331735378715}
0.0042	1151.0	308468	1.7545	{'f1': 0.88296488946684}	{'accuracy': 0.8274209012464045}
0.0042	1152.0	308736	1.8382	{'f1': 0.8790218790218791}	{'accuracy': 0.8197507190795782}
0.002	1153.0	309004	1.8632	{'f1': 0.8787684413085312}	{'accuracy': 0.8187919463087249}
0.002	1154.0	309272	1.7751	{'f1': 0.8812459441920829}	{'accuracy': 0.8245445829338447}
0.002	1155.0	309540	1.7368	{'f1': 0.884967320261438}	{'accuracy': 0.8312559923298178}
0.002	1156.0	309808	1.9513	{'f1': 0.8773946360153257}	{'accuracy': 0.8159156279961649}
0.0022	1157.0	310076	1.8543	{'f1': 0.8768536428110896}	{'accuracy': 0.8168744007670182}
0.0022	1158.0	310344	1.8218	{'f1': 0.8786502271252432}	{'accuracy': 0.8207094918504314}
0.0026	1159.0	310612	1.8411	{'f1': 0.880103694102398}	{'accuracy': 0.822627037392138}
0.0026	1160.0	310880	1.7833	{'f1': 0.8835078534031414}	{'accuracy': 0.8293384467881112}
0.0029	1161.0	311148	1.7895	{'f1': 0.8830829523187459}	{'accuracy': 0.8283796740172579}
0.0029	1162.0	311416	1.8256	{'f1': 0.8796895213454075}	{'accuracy': 0.8216682646212847}
0.0034	1163.0	311684	1.8319	{'f1': 0.8782383419689119}	{'accuracy': 0.8197507190795782}
0.0034	1164.0	311952	1.7267	{'f1': 0.8858085808580859}	{'accuracy': 0.8341323106423778}
0.0023	1165.0	312220	1.8693	{'f1': 0.8766946417043254}	{'accuracy': 0.8168744007670182}
0.0023	1166.0	312488	1.8542	{'f1': 0.8763754045307444}	{'accuracy': 0.8168744007670182}
0.0055	1167.0	312756	1.7510	{'f1': 0.8830486202365309}	{'accuracy': 0.8293384467881112}
0.0031	1168.0	313024	1.8501	{'f1': 0.875724404378622}	{'accuracy': 0.8149568552253116}
0.0031	1169.0	313292	1.8394	{'f1': 0.8774193548387096}	{'accuracy': 0.8178331735378715}
0.0049	1170.0	313560	1.8878	{'f1': 0.8814862267777066}	{'accuracy': 0.822627037392138}
0.0049	1171.0	313828	1.8372	{'f1': 0.881859264041317}	{'accuracy': 0.8245445829338447}
0.0034	1172.0	314096	1.7411	{'f1': 0.8820445609436436}	{'accuracy': 0.8274209012464045}
0.0034	1173.0	314364	1.7400	{'f1': 0.8806262230919765}	{'accuracy': 0.8245445829338447}
0.0041	1174.0	314632	1.8188	{'f1': 0.8796895213454075}	{'accuracy': 0.8216682646212847}
0.0041	1175.0	314900	1.7736	{'f1': 0.8823529411764706}	{'accuracy': 0.8274209012464045}
0.0021	1176.0	315168	1.8968	{'f1': 0.8784213876511776}	{'accuracy': 0.8168744007670182}
0.0021	1177.0	315436	1.8161	{'f1': 0.8795878943979395}	{'accuracy': 0.8207094918504314}
0.0042	1178.0	315704	1.7219	{'f1': 0.8802588996763754}	{'accuracy': 0.822627037392138}
0.0042	1179.0	315972	1.6678	{'f1': 0.8848167539267016}	{'accuracy': 0.8312559923298178}
0.0038	1180.0	316240	1.7753	{'f1': 0.8791208791208791}	{'accuracy': 0.8207094918504314}
0.0024	1181.0	316508	1.8661	{'f1': 0.8773281952472703}	{'accuracy': 0.8168744007670182}
0.0024	1182.0	316776	1.8076	{'f1': 0.8793774319066148}	{'accuracy': 0.8216682646212847}
0.0023	1183.0	317044	1.7940	{'f1': 0.8799480856586632}	{'accuracy': 0.822627037392138}
0.0023	1184.0	317312	1.8250	{'f1': 0.8805681084570691}	{'accuracy': 0.822627037392138}
0.003	1185.0	317580	1.6788	{'f1': 0.8840291583830351}	{'accuracy': 0.8322147651006712}
0.003	1186.0	317848	1.7289	{'f1': 0.8832020997375328}	{'accuracy': 0.8293384467881112}
0.0032	1187.0	318116	1.8399	{'f1': 0.8794326241134752}	{'accuracy': 0.8207094918504314}
0.0032	1188.0	318384	1.7542	{'f1': 0.8813559322033898}	{'accuracy': 0.825503355704698}
0.0034	1189.0	318652	1.7842	{'f1': 0.8812459441920829}	{'accuracy': 0.8245445829338447}
0.0034	1190.0	318920	1.7614	{'f1': 0.8813559322033898}	{'accuracy': 0.825503355704698}
0.0031	1191.0	319188	1.7937	{'f1': 0.880674448767834}	{'accuracy': 0.8235858101629914}
0.0031	1192.0	319456	1.7480	{'f1': 0.8813559322033898}	{'accuracy': 0.825503355704698}
0.0019	1193.0	319724	1.8243	{'f1': 0.880722114764668}	{'accuracy': 0.822627037392138}
0.0019	1194.0	319992	1.8947	{'f1': 0.8762755102040816}	{'accuracy': 0.8139980824544583}
0.0035	1195.0	320260	1.8264	{'f1': 0.8833010960670536}	{'accuracy': 0.8264621284755513}
0.0027	1196.0	320528	1.7701	{'f1': 0.8836907082521118}	{'accuracy': 0.8283796740172579}
0.0027	1197.0	320796	1.7926	{'f1': 0.8825438027255029}	{'accuracy': 0.8264621284755513}
0.002	1198.0	321064	1.9490	{'f1': 0.876117496807152}	{'accuracy': 0.8139980824544583}
0.002	1199.0	321332	1.7626	{'f1': 0.8826229508196721}	{'accuracy': 0.8283796740172579}
0.0055	1200.0	321600	1.9140	{'f1': 0.8780487804878049}	{'accuracy': 0.8178331735378715}
0.0055	1201.0	321868	1.8124	{'f1': 0.880674448767834}	{'accuracy': 0.8235858101629914}
0.0036	1202.0	322136	1.7833	{'f1': 0.8825438027255029}	{'accuracy': 0.8264621284755513}
0.0036	1203.0	322404	1.7976	{'f1': 0.8826960466623461}	{'accuracy': 0.8264621284755513}
0.0028	1204.0	322672	1.8530	{'f1': 0.8782051282051283}	{'accuracy': 0.8178331735378715}
0.0028	1205.0	322940	1.8728	{'f1': 0.8766066838046273}	{'accuracy': 0.8159156279961649}
0.0053	1206.0	323208	1.8401	{'f1': 0.8806161745827985}	{'accuracy': 0.8216682646212847}
0.0053	1207.0	323476	1.7476	{'f1': 0.8819308545335943}	{'accuracy': 0.8264621284755513}
0.0054	1208.0	323744	1.8645	{'f1': 0.8815958815958816}	{'accuracy': 0.8235858101629914}
0.0019	1209.0	324012	1.7266	{'f1': 0.8831683168316831}	{'accuracy': 0.8302972195589645}
0.0019	1210.0	324280	1.8538	{'f1': 0.8810289389067525}	{'accuracy': 0.822627037392138}
0.0025	1211.0	324548	1.8804	{'f1': 0.8802049967969251}	{'accuracy': 0.8207094918504314}
0.0025	1212.0	324816	1.8721	{'f1': 0.8810289389067525}	{'accuracy': 0.822627037392138}
0.0041	1213.0	325084	1.7423	{'f1': 0.8807339449541284}	{'accuracy': 0.825503355704698}
0.0041	1214.0	325352	1.7937	{'f1': 0.8839922229423202}	{'accuracy': 0.8283796740172579}
0.003	1215.0	325620	1.6573	{'f1': 0.8796791443850267}	{'accuracy': 0.8274209012464045}
0.003	1216.0	325888	1.7644	{'f1': 0.8858447488584474}	{'accuracy': 0.8322147651006712}
0.004	1217.0	326156	1.8032	{'f1': 0.8844155844155843}	{'accuracy': 0.8293384467881112}
0.004	1218.0	326424	1.7083	{'f1': 0.886408404464872}	{'accuracy': 0.8341323106423778}
0.0029	1219.0	326692	1.7933	{'f1': 0.8844155844155843}	{'accuracy': 0.8293384467881112}
0.0029	1220.0	326960	1.8422	{'f1': 0.8841423948220065}	{'accuracy': 0.8283796740172579}
0.0027	1221.0	327228	1.8144	{'f1': 0.8845654993514916}	{'accuracy': 0.8293384467881112}
0.0027	1222.0	327496	1.7938	{'f1': 0.8878748370273793}	{'accuracy': 0.835091083413231}
0.0025	1223.0	327764	1.7498	{'f1': 0.8875739644970414}	{'accuracy': 0.8360498561840843}
0.0021	1224.0	328032	1.8159	{'f1': 0.8868660598179455}	{'accuracy': 0.8331735378715245}
0.0021	1225.0	328300	1.7575	{'f1': 0.8855263157894737}	{'accuracy': 0.8331735378715245}
0.0029	1226.0	328568	1.8096	{'f1': 0.8867059593975114}	{'accuracy': 0.8341323106423778}
0.0029	1227.0	328836	1.9609	{'f1': 0.8789237668161436}	{'accuracy': 0.8187919463087249}
0.0021	1228.0	329104	1.8192	{'f1': 0.8849902534113061}	{'accuracy': 0.8302972195589645}
0.0021	1229.0	329372	1.7996	{'f1': 0.8835393623942747}	{'accuracy': 0.8283796740172579}
0.0036	1230.0	329640	1.6772	{'f1': 0.8846657929226737}	{'accuracy': 0.8312559923298178}
0.0036	1231.0	329908	1.7926	{'f1': 0.8844415752098128}	{'accuracy': 0.8283796740172579}
0.0048	1232.0	330176	1.8220	{'f1': 0.8824289405684754}	{'accuracy': 0.825503355704698}
0.0048	1233.0	330444	1.7301	{'f1': 0.8851174934725848}	{'accuracy': 0.8312559923298178}
0.0026	1234.0	330712	1.7218	{'f1': 0.8829300196206671}	{'accuracy': 0.8283796740172579}
0.0026	1235.0	330980	1.7858	{'f1': 0.8835393623942747}	{'accuracy': 0.8283796740172579}
0.0032	1236.0	331248	1.7898	{'f1': 0.8833876221498371}	{'accuracy': 0.8283796740172579}
0.0021	1237.0	331516	1.8191	{'f1': 0.8841145833333333}	{'accuracy': 0.8293384467881112}
0.0021	1238.0	331784	1.8071	{'f1': 0.88296488946684}	{'accuracy': 0.8274209012464045}
0.0032	1239.0	332052	1.8074	{'f1': 0.8851174934725848}	{'accuracy': 0.8312559923298178}
0.0032	1240.0	332320	1.8625	{'f1': 0.8827319587628866}	{'accuracy': 0.825503355704698}
0.0024	1241.0	332588	1.8309	{'f1': 0.8841423948220065}	{'accuracy': 0.8283796740172579}
0.0024	1242.0	332856	1.7365	{'f1': 0.880952380952381}	{'accuracy': 0.8274209012464045}
0.0037	1243.0	333124	1.8527	{'f1': 0.8804627249357326}	{'accuracy': 0.8216682646212847}
0.0037	1244.0	333392	1.8448	{'f1': 0.8798449612403101}	{'accuracy': 0.8216682646212847}
0.0029	1245.0	333660	1.8240	{'f1': 0.881399870382372}	{'accuracy': 0.8245445829338447}
0.0029	1246.0	333928	1.7800	{'f1': 0.8855461085676913}	{'accuracy': 0.8322147651006712}
0.002	1247.0	334196	1.8131	{'f1': 0.8823911630929175}	{'accuracy': 0.8264621284755513}
0.002	1248.0	334464	1.7653	{'f1': 0.886408404464872}	{'accuracy': 0.8341323106423778}
0.0023	1249.0	334732	1.7286	{'f1': 0.8847926267281107}	{'accuracy': 0.8322147651006712}
0.0037	1250.0	335000	1.8791	{'f1': 0.8792769528728211}	{'accuracy': 0.8207094918504314}
0.0037	1251.0	335268	1.8655	{'f1': 0.8809831824062095}	{'accuracy': 0.8235858101629914}
0.0029	1252.0	335536	1.8085	{'f1': 0.8822381262199089}	{'accuracy': 0.8264621284755513}
0.0029	1253.0	335804	1.8479	{'f1': 0.8812459441920829}	{'accuracy': 0.8245445829338447}
0.0022	1254.0	336072	1.9266	{'f1': 0.8800513149454778}	{'accuracy': 0.8207094918504314}
0.0022	1255.0	336340	1.9030	{'f1': 0.8803088803088803}	{'accuracy': 0.8216682646212847}
0.0026	1256.0	336608	1.8002	{'f1': 0.8781758957654723}	{'accuracy': 0.8207094918504314}
0.0026	1257.0	336876	1.8250	{'f1': 0.8835705045278138}	{'accuracy': 0.8274209012464045}
0.0034	1258.0	337144	1.8617	{'f1': 0.8808757244043787}	{'accuracy': 0.822627037392138}
0.0034	1259.0	337412	1.8608	{'f1': 0.8814432989690721}	{'accuracy': 0.8235858101629914}
0.0017	1260.0	337680	1.7741	{'f1': 0.8820445609436436}	{'accuracy': 0.8274209012464045}
0.0017	1261.0	337948	1.7532	{'f1': 0.8820445609436436}	{'accuracy': 0.8274209012464045}
0.0044	1262.0	338216	1.9144	{'f1': 0.8803088803088803}	{'accuracy': 0.8216682646212847}
0.0044	1263.0	338484	1.8384	{'f1': 0.8809831824062095}	{'accuracy': 0.8235858101629914}
0.0034	1264.0	338752	1.8526	{'f1': 0.8800000000000001}	{'accuracy': 0.8216682646212847}
0.0036	1265.0	339020	1.8393	{'f1': 0.8803088803088803}	{'accuracy': 0.8216682646212847}
0.0036	1266.0	339288	1.7915	{'f1': 0.8779857972885732}	{'accuracy': 0.8187919463087249}
0.0055	1267.0	339556	1.8825	{'f1': 0.876765083440308}	{'accuracy': 0.8159156279961649}
0.0055	1268.0	339824	1.7938	{'f1': 0.8795336787564768}	{'accuracy': 0.8216682646212847}
0.0022	1269.0	340092	1.8548	{'f1': 0.8800000000000001}	{'accuracy': 0.8216682646212847}
0.0022	1270.0	340360	1.7473	{'f1': 0.8795811518324608}	{'accuracy': 0.8235858101629914}
0.0022	1271.0	340628	1.8232	{'f1': 0.8808290155440415}	{'accuracy': 0.8235858101629914}
0.0022	1272.0	340896	1.8400	{'f1': 0.8811369509043928}	{'accuracy': 0.8235858101629914}
0.0027	1273.0	341164	1.8095	{'f1': 0.8793774319066148}	{'accuracy': 0.8216682646212847}
0.0027	1274.0	341432	1.8629	{'f1': 0.880722114764668}	{'accuracy': 0.822627037392138}
0.0026	1275.0	341700	1.8486	{'f1': 0.8792769528728211}	{'accuracy': 0.8207094918504314}
0.0026	1276.0	341968	1.8442	{'f1': 0.8798449612403101}	{'accuracy': 0.8216682646212847}
0.002	1277.0	342236	1.8215	{'f1': 0.878334417696812}	{'accuracy': 0.8207094918504314}
0.0023	1278.0	342504	1.8425	{'f1': 0.8774193548387096}	{'accuracy': 0.8178331735378715}
0.0023	1279.0	342772	2.0166	{'f1': 0.878017789072427}	{'accuracy': 0.8159156279961649}
0.0028	1280.0	343040	1.7724	{'f1': 0.881201044386423}	{'accuracy': 0.825503355704698}
0.0028	1281.0	343308	1.8734	{'f1': 0.8804627249357326}	{'accuracy': 0.8216682646212847}
0.0024	1282.0	343576	1.8742	{'f1': 0.8788659793814433}	{'accuracy': 0.8197507190795782}
0.0024	1283.0	343844	1.7987	{'f1': 0.881201044386423}	{'accuracy': 0.825503355704698}
0.004	1284.0	344112	1.8626	{'f1': 0.8787096774193548}	{'accuracy': 0.8197507190795782}
0.004	1285.0	344380	1.8775	{'f1': 0.8808757244043787}	{'accuracy': 0.822627037392138}
0.0027	1286.0	344648	1.8029	{'f1': 0.8790058862001309}	{'accuracy': 0.822627037392138}
0.0027	1287.0	344916	1.8722	{'f1': 0.8781431334622825}	{'accuracy': 0.8187919463087249}
0.0022	1288.0	345184	1.9832	{'f1': 0.8803582853486884}	{'accuracy': 0.8207094918504314}
0.0022	1289.0	345452	1.9973	{'f1': 0.8788265306122449}	{'accuracy': 0.8178331735378715}
0.0028	1290.0	345720	1.8957	{'f1': 0.8811369509043928}	{'accuracy': 0.8235858101629914}
0.0028	1291.0	345988	1.9370	{'f1': 0.8796414852752881}	{'accuracy': 0.8197507190795782}
0.002	1292.0	346256	1.8383	{'f1': 0.880103694102398}	{'accuracy': 0.822627037392138}
0.0025	1293.0	346524	1.8794	{'f1': 0.8804137039431158}	{'accuracy': 0.822627037392138}
0.0025	1294.0	346792	1.8439	{'f1': 0.8819714656290532}	{'accuracy': 0.825503355704698}
0.0029	1295.0	347060	1.9400	{'f1': 0.8804627249357326}	{'accuracy': 0.8216682646212847}
0.0029	1296.0	347328	1.7717	{'f1': 0.8824306472919419}	{'accuracy': 0.8293384467881112}
0.0028	1297.0	347596	1.7711	{'f1': 0.8798424162836507}	{'accuracy': 0.8245445829338447}
0.0028	1298.0	347864	1.7864	{'f1': 0.8805774278215224}	{'accuracy': 0.825503355704698}
0.003	1299.0	348132	1.8508	{'f1': 0.8783958602846055}	{'accuracy': 0.8197507190795782}
0.003	1300.0	348400	1.8795	{'f1': 0.8798972382787411}	{'accuracy': 0.8207094918504314}
0.0033	1301.0	348668	1.8508	{'f1': 0.8820116054158607}	{'accuracy': 0.8245445829338447}
0.0033	1302.0	348936	1.8456	{'f1': 0.8809831824062095}	{'accuracy': 0.8235858101629914}
0.0017	1303.0	349204	1.8790	{'f1': 0.8808757244043787}	{'accuracy': 0.822627037392138}
0.0017	1304.0	349472	1.7898	{'f1': 0.8794233289646134}	{'accuracy': 0.8235858101629914}
0.0027	1305.0	349740	1.8166	{'f1': 0.8830486202365309}	{'accuracy': 0.8293384467881112}
0.0018	1306.0	350008	1.8170	{'f1': 0.8830486202365309}	{'accuracy': 0.8293384467881112}
0.0018	1307.0	350276	1.8507	{'f1': 0.881201044386423}	{'accuracy': 0.825503355704698}
0.0036	1308.0	350544	1.9425	{'f1': 0.8775773195876289}	{'accuracy': 0.8178331735378715}
0.0036	1309.0	350812	1.8448	{'f1': 0.8805774278215224}	{'accuracy': 0.825503355704698}
0.0042	1310.0	351080	1.9039	{'f1': 0.8756476683937825}	{'accuracy': 0.8159156279961649}
0.0042	1311.0	351348	1.9001	{'f1': 0.875893437296946}	{'accuracy': 0.8168744007670182}
0.0031	1312.0	351616	1.9099	{'f1': 0.8771021992238034}	{'accuracy': 0.8178331735378715}
0.0031	1313.0	351884	1.8716	{'f1': 0.8779220779220779}	{'accuracy': 0.8197507190795782}
0.0018	1314.0	352152	1.8785	{'f1': 0.8773523685918235}	{'accuracy': 0.8187919463087249}
0.0018	1315.0	352420	1.9126	{'f1': 0.8788659793814433}	{'accuracy': 0.8197507190795782}
0.0031	1316.0	352688	1.8295	{'f1': 0.8815533980582524}	{'accuracy': 0.8245445829338447}
0.0031	1317.0	352956	1.9206	{'f1': 0.8804627249357326}	{'accuracy': 0.8216682646212847}
0.0032	1318.0	353224	1.9275	{'f1': 0.8806161745827985}	{'accuracy': 0.8216682646212847}
0.0032	1319.0	353492	1.8038	{'f1': 0.878334417696812}	{'accuracy': 0.8207094918504314}
0.0019	1320.0	353760	1.8142	{'f1': 0.8780804150453955}	{'accuracy': 0.8197507190795782}
0.004	1321.0	354028	1.8275	{'f1': 0.8805194805194805}	{'accuracy': 0.8235858101629914}
0.004	1322.0	354296	1.8953	{'f1': 0.8789644012944984}	{'accuracy': 0.8207094918504314}
0.0021	1323.0	354564	1.8318	{'f1': 0.8796356538711776}	{'accuracy': 0.822627037392138}
0.0021	1324.0	354832	1.9247	{'f1': 0.8803088803088803}	{'accuracy': 0.8216682646212847}
0.0027	1325.0	355100	2.0419	{'f1': 0.875875238701464}	{'accuracy': 0.8130393096836049}
0.0027	1326.0	355368	1.9456	{'f1': 0.8768536428110896}	{'accuracy': 0.8168744007670182}
0.0026	1327.0	355636	1.9208	{'f1': 0.8795336787564768}	{'accuracy': 0.8216682646212847}
0.0026	1328.0	355904	1.9859	{'f1': 0.8802049967969251}	{'accuracy': 0.8207094918504314}
0.0027	1329.0	356172	1.8404	{'f1': 0.8780804150453955}	{'accuracy': 0.8197507190795782}
0.0027	1330.0	356440	1.7770	{'f1': 0.88}	{'accuracy': 0.8245445829338447}
0.0052	1331.0	356708	1.9164	{'f1': 0.8790218790218791}	{'accuracy': 0.8197507190795782}
0.0052	1332.0	356976	1.8822	{'f1': 0.8812903225806452}	{'accuracy': 0.8235858101629914}
0.0035	1333.0	357244	1.8591	{'f1': 0.8802588996763754}	{'accuracy': 0.822627037392138}
0.003	1334.0	357512	1.7935	{'f1': 0.8816219751471549}	{'accuracy': 0.8264621284755513}
0.003	1335.0	357780	1.8387	{'f1': 0.8810916179337233}	{'accuracy': 0.8245445829338447}
0.0037	1336.0	358048	1.9405	{'f1': 0.879177377892031}	{'accuracy': 0.8197507190795782}
0.0037	1337.0	358316	1.8556	{'f1': 0.8815533980582524}	{'accuracy': 0.8245445829338447}
0.0036	1338.0	358584	1.9032	{'f1': 0.8780487804878049}	{'accuracy': 0.8178331735378715}
0.0036	1339.0	358852	1.8323	{'f1': 0.8821243523316061}	{'accuracy': 0.825503355704698}
0.0033	1340.0	359120	1.8037	{'f1': 0.8808290155440415}	{'accuracy': 0.8235858101629914}
0.0033	1341.0	359388	1.8194	{'f1': 0.8776699029126214}	{'accuracy': 0.8187919463087249}
0.0029	1342.0	359656	1.7335	{'f1': 0.8809993425378042}	{'accuracy': 0.8264621284755513}
0.0029	1343.0	359924	1.7807	{'f1': 0.8821989528795812}	{'accuracy': 0.8274209012464045}
0.0021	1344.0	360192	1.9215	{'f1': 0.8773281952472703}	{'accuracy': 0.8168744007670182}
0.0021	1345.0	360460	1.8503	{'f1': 0.8788659793814433}	{'accuracy': 0.8197507190795782}
0.0024	1346.0	360728	1.8224	{'f1': 0.8804137039431158}	{'accuracy': 0.822627037392138}
0.0024	1347.0	360996	1.7595	{'f1': 0.88}	{'accuracy': 0.8245445829338447}
0.003	1348.0	361264	1.8025	{'f1': 0.8797385620915033}	{'accuracy': 0.8235858101629914}
0.0022	1349.0	361532	1.9341	{'f1': 0.8787684413085312}	{'accuracy': 0.8187919463087249}
0.0022	1350.0	361800	1.8708	{'f1': 0.877284595300261}	{'accuracy': 0.8197507190795782}
0.0017	1351.0	362068	1.8931	{'f1': 0.8791208791208791}	{'accuracy': 0.8207094918504314}
0.0017	1352.0	362336	1.9393	{'f1': 0.8783000643915004}	{'accuracy': 0.8187919463087249}
0.0036	1353.0	362604	1.9224	{'f1': 0.8772609819121446}	{'accuracy': 0.8178331735378715}
0.0036	1354.0	362872	1.7791	{'f1': 0.8815354070152218}	{'accuracy': 0.8283796740172579}
0.0028	1355.0	363140	1.9070	{'f1': 0.8775113415424498}	{'accuracy': 0.8187919463087249}
0.0028	1356.0	363408	1.8885	{'f1': 0.8776699029126214}	{'accuracy': 0.8187919463087249}
0.0038	1357.0	363676	1.8156	{'f1': 0.8807339449541284}	{'accuracy': 0.825503355704698}
0.0038	1358.0	363944	1.8661	{'f1': 0.8768729641693811}	{'accuracy': 0.8187919463087249}
0.0017	1359.0	364212	1.8853	{'f1': 0.8773523685918235}	{'accuracy': 0.8187919463087249}
0.0017	1360.0	364480	1.9505	{'f1': 0.8766066838046273}	{'accuracy': 0.8159156279961649}
0.0021	1361.0	364748	2.0340	{'f1': 0.8753180661577609}	{'accuracy': 0.8120805369127517}
0.0036	1362.0	365016	1.8009	{'f1': 0.8796844181459565}	{'accuracy': 0.8245445829338447}
0.0036	1363.0	365284	1.8448	{'f1': 0.8780169602087411}	{'accuracy': 0.8207094918504314}
0.0026	1364.0	365552	1.8538	{'f1': 0.877444589308996}	{'accuracy': 0.8197507190795782}
0.0026	1365.0	365820	2.0301	{'f1': 0.8741214057507987}	{'accuracy': 0.8111217641418984}
0.0023	1366.0	366088	1.9828	{'f1': 0.8766066838046273}	{'accuracy': 0.8159156279961649}
0.0023	1367.0	366356	1.9144	{'f1': 0.8788075178224238}	{'accuracy': 0.8207094918504314}
0.0023	1368.0	366624	1.8790	{'f1': 0.8804702808621816}	{'accuracy': 0.8245445829338447}
0.0023	1369.0	366892	1.8129	{'f1': 0.8834759710335748}	{'accuracy': 0.8302972195589645}
0.0045	1370.0	367160	1.8688	{'f1': 0.8813559322033898}	{'accuracy': 0.825503355704698}
0.0045	1371.0	367428	1.8836	{'f1': 0.8767123287671234}	{'accuracy': 0.8187919463087249}
0.0024	1372.0	367696	1.8520	{'f1': 0.8792650918635171}	{'accuracy': 0.8235858101629914}
0.0024	1373.0	367964	1.8999	{'f1': 0.8763020833333333}	{'accuracy': 0.8178331735378715}
0.0029	1374.0	368232	2.0409	{'f1': 0.8785166240409207}	{'accuracy': 0.8178331735378715}
0.0023	1375.0	368500	1.9475	{'f1': 0.880103694102398}	{'accuracy': 0.822627037392138}
0.0023	1376.0	368768	1.9547	{'f1': 0.8778280542986426}	{'accuracy': 0.8187919463087249}
0.0053	1377.0	369036	1.8370	{'f1': 0.8845401174168297}	{'accuracy': 0.8302972195589645}
0.0053	1378.0	369304	1.9567	{'f1': 0.8783000643915004}	{'accuracy': 0.8187919463087249}
0.0019	1379.0	369572	2.0041	{'f1': 0.8743589743589745}	{'accuracy': 0.8120805369127517}
0.0019	1380.0	369840	1.9010	{'f1': 0.8809831824062095}	{'accuracy': 0.8235858101629914}
0.0022	1381.0	370108	2.0259	{'f1': 0.8735632183908045}	{'accuracy': 0.8101629913710451}
0.0022	1382.0	370376	1.9936	{'f1': 0.8752399232245682}	{'accuracy': 0.8130393096836049}
0.003	1383.0	370644	1.8355	{'f1': 0.8848405985686402}	{'accuracy': 0.8302972195589645}
0.003	1384.0	370912	1.8461	{'f1': 0.8832354859752121}	{'accuracy': 0.8283796740172579}
0.0026	1385.0	371180	1.8445	{'f1': 0.8819308545335943}	{'accuracy': 0.8264621284755513}
0.0026	1386.0	371448	1.8037	{'f1': 0.8776041666666666}	{'accuracy': 0.8197507190795782}
0.0061	1387.0	371716	1.8179	{'f1': 0.8770331815224464}	{'accuracy': 0.8187919463087249}
0.0061	1388.0	371984	1.8260	{'f1': 0.8792207792207791}	{'accuracy': 0.8216682646212847}
0.0032	1389.0	372252	1.8579	{'f1': 0.8796895213454075}	{'accuracy': 0.8216682646212847}
0.0025	1390.0	372520	1.8008	{'f1': 0.8806262230919765}	{'accuracy': 0.8245445829338447}
0.0025	1391.0	372788	1.8212	{'f1': 0.881399870382372}	{'accuracy': 0.8245445829338447}
0.0036	1392.0	373056	1.8121	{'f1': 0.8779220779220779}	{'accuracy': 0.8197507190795782}
0.0036	1393.0	373324	1.8379	{'f1': 0.8793774319066148}	{'accuracy': 0.8216682646212847}
0.0033	1394.0	373592	1.9010	{'f1': 0.8773281952472703}	{'accuracy': 0.8168744007670182}
0.0033	1395.0	373860	1.8129	{'f1': 0.8788075178224238}	{'accuracy': 0.8207094918504314}
0.0022	1396.0	374128	1.7556	{'f1': 0.8772160210111623}	{'accuracy': 0.8207094918504314}
0.0022	1397.0	374396	1.7995	{'f1': 0.8800521512385918}	{'accuracy': 0.8235858101629914}
0.0025	1398.0	374664	1.8804	{'f1': 0.8783000643915004}	{'accuracy': 0.8187919463087249}
0.0025	1399.0	374932	1.9120	{'f1': 0.8773281952472703}	{'accuracy': 0.8168744007670182}
0.0022	1400.0	375200	1.9074	{'f1': 0.8771704180064309}	{'accuracy': 0.8168744007670182}
0.0022	1401.0	375468	1.9763	{'f1': 0.8766773162939298}	{'accuracy': 0.8149568552253116}
0.0028	1402.0	375736	1.8266	{'f1': 0.8825065274151437}	{'accuracy': 0.8274209012464045}
0.0021	1403.0	376004	1.8277	{'f1': 0.8826597131681878}	{'accuracy': 0.8274209012464045}
0.0021	1404.0	376272	1.8651	{'f1': 0.8845654993514916}	{'accuracy': 0.8293384467881112}
0.0023	1405.0	376540	1.8384	{'f1': 0.8841145833333333}	{'accuracy': 0.8293384467881112}
0.0023	1406.0	376808	1.9099	{'f1': 0.880722114764668}	{'accuracy': 0.822627037392138}
0.0022	1407.0	377076	1.8257	{'f1': 0.8845401174168297}	{'accuracy': 0.8302972195589645}
0.0022	1408.0	377344	1.8393	{'f1': 0.8839634941329856}	{'accuracy': 0.8293384467881112}
0.0021	1409.0	377612	1.7979	{'f1': 0.8829300196206671}	{'accuracy': 0.8283796740172579}
0.0021	1410.0	377880	1.8133	{'f1': 0.8862745098039215}	{'accuracy': 0.8331735378715245}
0.0025	1411.0	378148	1.8180	{'f1': 0.8864229765013055}	{'accuracy': 0.8331735378715245}
0.0025	1412.0	378416	1.7902	{'f1': 0.8838120104438641}	{'accuracy': 0.8293384467881112}
0.0038	1413.0	378684	1.8083	{'f1': 0.8835393623942747}	{'accuracy': 0.8283796740172579}
0.0038	1414.0	378952	1.8757	{'f1': 0.8837209302325582}	{'accuracy': 0.8274209012464045}
0.0031	1415.0	379220	1.8037	{'f1': 0.8846905537459283}	{'accuracy': 0.8302972195589645}
0.0031	1416.0	379488	1.7432	{'f1': 0.8826229508196721}	{'accuracy': 0.8283796740172579}
0.0028	1417.0	379756	1.7664	{'f1': 0.8844155844155843}	{'accuracy': 0.8293384467881112}
0.0033	1418.0	380024	1.7910	{'f1': 0.8844155844155843}	{'accuracy': 0.8293384467881112}
0.0033	1419.0	380292	1.7409	{'f1': 0.8826229508196721}	{'accuracy': 0.8283796740172579}
0.0034	1420.0	380560	1.7610	{'f1': 0.8861256544502618}	{'accuracy': 0.8331735378715245}
0.0034	1421.0	380828	1.7375	{'f1': 0.8826229508196721}	{'accuracy': 0.8283796740172579}
0.0028	1422.0	381096	1.7903	{'f1': 0.8873056994818653}	{'accuracy': 0.8331735378715245}
0.0028	1423.0	381364	1.7747	{'f1': 0.8836907082521118}	{'accuracy': 0.8283796740172579}
0.0022	1424.0	381632	1.8402	{'f1': 0.8842921784098255}	{'accuracy': 0.8283796740172579}
0.0022	1425.0	381900	1.8666	{'f1': 0.8838709677419355}	{'accuracy': 0.8274209012464045}
0.0022	1426.0	382168	1.8150	{'f1': 0.8844155844155843}	{'accuracy': 0.8293384467881112}
0.0022	1427.0	382436	1.7601	{'f1': 0.8826229508196721}	{'accuracy': 0.8283796740172579}
0.0046	1428.0	382704	1.7706	{'f1': 0.8829300196206671}	{'accuracy': 0.8283796740172579}
0.0046	1429.0	382972	1.7924	{'f1': 0.8825438027255029}	{'accuracy': 0.8264621284755513}
0.003	1430.0	383240	1.7873	{'f1': 0.88296488946684}	{'accuracy': 0.8274209012464045}
0.0034	1431.0	383508	1.7461	{'f1': 0.8817766165904638}	{'accuracy': 0.8264621284755513}
0.0034	1432.0	383776	1.7214	{'f1': 0.8837820091923834}	{'accuracy': 0.8302972195589645}
0.0036	1433.0	384044	1.8815	{'f1': 0.8797427652733119}	{'accuracy': 0.8207094918504314}
0.0036	1434.0	384312	1.8720	{'f1': 0.8801546391752577}	{'accuracy': 0.8216682646212847}
0.0023	1435.0	384580	1.8030	{'f1': 0.88296488946684}	{'accuracy': 0.8274209012464045}
0.0023	1436.0	384848	1.7756	{'f1': 0.8856956237753103}	{'accuracy': 0.8322147651006712}
0.0016	1437.0	385116	1.7079	{'f1': 0.882392026578073}	{'accuracy': 0.8302972195589645}
0.0016	1438.0	385384	1.7674	{'f1': 0.8840864440078585}	{'accuracy': 0.8302972195589645}
0.0029	1439.0	385652	1.7752	{'f1': 0.8833551769331585}	{'accuracy': 0.8293384467881112}
0.0029	1440.0	385920	1.8759	{'f1': 0.8836907082521118}	{'accuracy': 0.8283796740172579}
0.0022	1441.0	386188	1.9013	{'f1': 0.8809831824062095}	{'accuracy': 0.8235858101629914}
0.0022	1442.0	386456	1.8416	{'f1': 0.8844155844155843}	{'accuracy': 0.8293384467881112}
0.0036	1443.0	386724	2.0045	{'f1': 0.8775510204081634}	{'accuracy': 0.8159156279961649}
0.0036	1444.0	386992	1.9100	{'f1': 0.8788659793814433}	{'accuracy': 0.8197507190795782}
0.0038	1445.0	387260	1.9557	{'f1': 0.8810289389067525}	{'accuracy': 0.822627037392138}
0.0021	1446.0	387528	1.9332	{'f1': 0.8775773195876289}	{'accuracy': 0.8178331735378715}
0.0021	1447.0	387796	1.8294	{'f1': 0.8803641092327698}	{'accuracy': 0.8235858101629914}
0.0051	1448.0	388064	1.8972	{'f1': 0.8795878943979395}	{'accuracy': 0.8207094918504314}
0.0051	1449.0	388332	1.9577	{'f1': 0.8783610755441742}	{'accuracy': 0.8178331735378715}
0.0029	1450.0	388600	1.9377	{'f1': 0.8774855676715844}	{'accuracy': 0.8168744007670182}
0.0029	1451.0	388868	1.9176	{'f1': 0.8784565916398713}	{'accuracy': 0.8187919463087249}
0.002	1452.0	389136	1.9199	{'f1': 0.8790218790218791}	{'accuracy': 0.8197507190795782}
0.002	1453.0	389404	1.9482	{'f1': 0.8784565916398713}	{'accuracy': 0.8187919463087249}
0.0021	1454.0	389672	1.8220	{'f1': 0.877444589308996}	{'accuracy': 0.8197507190795782}
0.0021	1455.0	389940	1.9230	{'f1': 0.8795878943979395}	{'accuracy': 0.8207094918504314}
0.004	1456.0	390208	1.8703	{'f1': 0.8808290155440415}	{'accuracy': 0.8235858101629914}
0.004	1457.0	390476	1.8204	{'f1': 0.8809368900455433}	{'accuracy': 0.8245445829338447}
0.002	1458.0	390744	1.7846	{'f1': 0.8806262230919765}	{'accuracy': 0.8245445829338447}
0.0037	1459.0	391012	1.8871	{'f1': 0.8800000000000001}	{'accuracy': 0.8216682646212847}
0.0037	1460.0	391280	1.8799	{'f1': 0.8805681084570691}	{'accuracy': 0.822627037392138}
0.0023	1461.0	391548	1.8332	{'f1': 0.880674448767834}	{'accuracy': 0.8235858101629914}
0.0023	1462.0	391816	1.8753	{'f1': 0.8796895213454075}	{'accuracy': 0.8216682646212847}
0.0021	1463.0	392084	1.9466	{'f1': 0.8801546391752577}	{'accuracy': 0.8216682646212847}
0.0021	1464.0	392352	2.0415	{'f1': 0.8757170172084129}	{'accuracy': 0.8130393096836049}
0.002	1465.0	392620	2.0344	{'f1': 0.876117496807152}	{'accuracy': 0.8139980824544583}
0.002	1466.0	392888	1.9655	{'f1': 0.8786127167630058}	{'accuracy': 0.8187919463087249}
0.002	1467.0	393156	1.8911	{'f1': 0.8809831824062095}	{'accuracy': 0.8235858101629914}
0.002	1468.0	393424	1.8612	{'f1': 0.8790637191157347}	{'accuracy': 0.8216682646212847}
0.0023	1469.0	393692	1.9963	{'f1': 0.8784565916398713}	{'accuracy': 0.8187919463087249}
0.0023	1470.0	393960	1.9838	{'f1': 0.8783000643915004}	{'accuracy': 0.8187919463087249}
0.0023	1471.0	394228	1.8686	{'f1': 0.8795811518324608}	{'accuracy': 0.8235858101629914}
0.0023	1472.0	394496	1.9247	{'f1': 0.8785529715762274}	{'accuracy': 0.8197507190795782}
0.0026	1473.0	394764	1.9669	{'f1': 0.8785529715762274}	{'accuracy': 0.8197507190795782}
0.002	1474.0	395032	1.9622	{'f1': 0.8785529715762274}	{'accuracy': 0.8197507190795782}
0.002	1475.0	395300	1.9325	{'f1': 0.8791208791208791}	{'accuracy': 0.8207094918504314}
0.0032	1476.0	395568	1.9709	{'f1': 0.8792769528728211}	{'accuracy': 0.8207094918504314}
0.0032	1477.0	395836	1.9660	{'f1': 0.8785529715762274}	{'accuracy': 0.8197507190795782}
0.0022	1478.0	396104	1.9600	{'f1': 0.8785529715762274}	{'accuracy': 0.8197507190795782}
0.0022	1479.0	396372	1.8900	{'f1': 0.8799480856586632}	{'accuracy': 0.822627037392138}
0.0042	1480.0	396640	1.9664	{'f1': 0.8794326241134752}	{'accuracy': 0.8207094918504314}
0.0042	1481.0	396908	1.9763	{'f1': 0.8788659793814433}	{'accuracy': 0.8197507190795782}
0.003	1482.0	397176	1.9680	{'f1': 0.8788659793814433}	{'accuracy': 0.8197507190795782}
0.003	1483.0	397444	1.8329	{'f1': 0.8808900523560209}	{'accuracy': 0.825503355704698}
0.0019	1484.0	397712	1.9913	{'f1': 0.8783000643915004}	{'accuracy': 0.8187919463087249}
0.0019	1485.0	397980	1.9807	{'f1': 0.8775773195876289}	{'accuracy': 0.8178331735378715}
0.0021	1486.0	398248	1.9790	{'f1': 0.8775773195876289}	{'accuracy': 0.8178331735378715}
0.0025	1487.0	398516	1.9015	{'f1': 0.8842652795838754}	{'accuracy': 0.8293384467881112}
0.0025	1488.0	398784	1.9864	{'f1': 0.8774193548387096}	{'accuracy': 0.8178331735378715}
0.0019	1489.0	399052	1.8955	{'f1': 0.8823911630929175}	{'accuracy': 0.8264621284755513}
0.0019	1490.0	399320	2.0427	{'f1': 0.8794326241134752}	{'accuracy': 0.8207094918504314}
0.0024	1491.0	399588	2.0652	{'f1': 0.876765083440308}	{'accuracy': 0.8159156279961649}
0.0024	1492.0	399856	2.0662	{'f1': 0.8762026940346376}	{'accuracy': 0.8149568552253116}
0.0024	1493.0	400124	1.9887	{'f1': 0.8787096774193548}	{'accuracy': 0.8197507190795782}
0.0024	1494.0	400392	1.9015	{'f1': 0.8809368900455433}	{'accuracy': 0.8245445829338447}
0.0017	1495.0	400660	1.8408	{'f1': 0.8817345597897503}	{'accuracy': 0.8274209012464045}
0.0017	1496.0	400928	1.9804	{'f1': 0.8789644012944984}	{'accuracy': 0.8207094918504314}
0.0029	1497.0	401196	1.9977	{'f1': 0.8791208791208791}	{'accuracy': 0.8207094918504314}
0.0029	1498.0	401464	1.8782	{'f1': 0.8840864440078585}	{'accuracy': 0.8302972195589645}
0.0019	1499.0	401732	1.9155	{'f1': 0.8805194805194805}	{'accuracy': 0.8235858101629914}
0.0022	1500.0	402000	1.9544	{'f1': 0.880103694102398}	{'accuracy': 0.822627037392138}
0.0022	1501.0	402268	1.9650	{'f1': 0.8783958602846055}	{'accuracy': 0.8197507190795782}
0.0021	1502.0	402536	1.9610	{'f1': 0.880103694102398}	{'accuracy': 0.822627037392138}
0.0021	1503.0	402804	1.9514	{'f1': 0.8799480856586632}	{'accuracy': 0.822627037392138}
0.0031	1504.0	403072	1.8767	{'f1': 0.8802631578947369}	{'accuracy': 0.825503355704698}
0.0031	1505.0	403340	1.9552	{'f1': 0.8788075178224238}	{'accuracy': 0.8207094918504314}
0.0019	1506.0	403608	1.9432	{'f1': 0.8813559322033898}	{'accuracy': 0.825503355704698}
0.0019	1507.0	403876	2.0299	{'f1': 0.880722114764668}	{'accuracy': 0.822627037392138}
0.0022	1508.0	404144	1.9508	{'f1': 0.881664499349805}	{'accuracy': 0.825503355704698}
0.0022	1509.0	404412	2.0056	{'f1': 0.8800000000000001}	{'accuracy': 0.8216682646212847}
0.0023	1510.0	404680	1.9737	{'f1': 0.8805681084570691}	{'accuracy': 0.822627037392138}
0.0023	1511.0	404948	1.9024	{'f1': 0.8807817589576548}	{'accuracy': 0.8245445829338447}
0.0019	1512.0	405216	1.9625	{'f1': 0.8805681084570691}	{'accuracy': 0.822627037392138}
0.0019	1513.0	405484	1.8806	{'f1': 0.8797385620915033}	{'accuracy': 0.8235858101629914}
0.0028	1514.0	405752	1.9175	{'f1': 0.88296488946684}	{'accuracy': 0.8274209012464045}
0.0024	1515.0	406020	2.0019	{'f1': 0.8805681084570691}	{'accuracy': 0.822627037392138}
0.0024	1516.0	406288	2.0095	{'f1': 0.8805681084570691}	{'accuracy': 0.822627037392138}
0.0019	1517.0	406556	1.9970	{'f1': 0.8811369509043928}	{'accuracy': 0.8235858101629914}
0.0019	1518.0	406824	2.0271	{'f1': 0.8788659793814433}	{'accuracy': 0.8197507190795782}
0.003	1519.0	407092	1.9790	{'f1': 0.8817065287653523}	{'accuracy': 0.8245445829338447}
0.003	1520.0	407360	1.9818	{'f1': 0.8817065287653523}	{'accuracy': 0.8245445829338447}
0.0017	1521.0	407628	1.8184	{'f1': 0.8779840848806366}	{'accuracy': 0.8235858101629914}
0.0017	1522.0	407896	2.0040	{'f1': 0.8801546391752577}	{'accuracy': 0.8216682646212847}
0.0021	1523.0	408164	2.0570	{'f1': 0.8773281952472703}	{'accuracy': 0.8168744007670182}
0.0021	1524.0	408432	2.0421	{'f1': 0.8773281952472703}	{'accuracy': 0.8168744007670182}
0.0025	1525.0	408700	1.9911	{'f1': 0.8801546391752577}	{'accuracy': 0.8216682646212847}
0.0025	1526.0	408968	1.9922	{'f1': 0.8794326241134752}	{'accuracy': 0.8207094918504314}
0.0021	1527.0	409236	2.0518	{'f1': 0.8773281952472703}	{'accuracy': 0.8168744007670182}
0.0029	1528.0	409504	1.9644	{'f1': 0.880722114764668}	{'accuracy': 0.822627037392138}
0.0029	1529.0	409772	1.9503	{'f1': 0.880722114764668}	{'accuracy': 0.822627037392138}
0.002	1530.0	410040	1.9427	{'f1': 0.8805681084570691}	{'accuracy': 0.822627037392138}
0.002	1531.0	410308	2.0120	{'f1': 0.8795878943979395}	{'accuracy': 0.8207094918504314}
0.002	1532.0	410576	2.0290	{'f1': 0.8795878943979395}	{'accuracy': 0.8207094918504314}
0.002	1533.0	410844	2.0733	{'f1': 0.8793324775353017}	{'accuracy': 0.8197507190795782}
0.002	1534.0	411112	1.9427	{'f1': 0.8795336787564768}	{'accuracy': 0.8216682646212847}
0.002	1535.0	411380	1.9818	{'f1': 0.8804137039431158}	{'accuracy': 0.822627037392138}
0.0023	1536.0	411648	1.9344	{'f1': 0.8819714656290532}	{'accuracy': 0.825503355704698}
0.0023	1537.0	411916	1.9396	{'f1': 0.881399870382372}	{'accuracy': 0.8245445829338447}
0.0034	1538.0	412184	2.0222	{'f1': 0.8777348777348777}	{'accuracy': 0.8178331735378715}
0.0034	1539.0	412452	1.9295	{'f1': 0.8793774319066148}	{'accuracy': 0.8216682646212847}
0.0027	1540.0	412720	1.9853	{'f1': 0.8804137039431158}	{'accuracy': 0.822627037392138}
0.0027	1541.0	412988	1.9830	{'f1': 0.8792769528728211}	{'accuracy': 0.8207094918504314}
0.0019	1542.0	413256	1.9594	{'f1': 0.8804137039431158}	{'accuracy': 0.822627037392138}
0.0022	1543.0	413524	1.8981	{'f1': 0.8802083333333333}	{'accuracy': 0.8235858101629914}
0.0022	1544.0	413792	1.9391	{'f1': 0.8799480856586632}	{'accuracy': 0.822627037392138}
0.002	1545.0	414060	1.9500	{'f1': 0.8799480856586632}	{'accuracy': 0.822627037392138}
0.002	1546.0	414328	2.0311	{'f1': 0.8797427652733119}	{'accuracy': 0.8207094918504314}
0.0041	1547.0	414596	2.0253	{'f1': 0.8797427652733119}	{'accuracy': 0.8207094918504314}
0.0041	1548.0	414864	2.0690	{'f1': 0.8774855676715844}	{'accuracy': 0.8168744007670182}
0.0047	1549.0	415132	1.9977	{'f1': 0.8783000643915004}	{'accuracy': 0.8187919463087249}
0.0047	1550.0	415400	1.9320	{'f1': 0.8804137039431158}	{'accuracy': 0.822627037392138}
0.0019	1551.0	415668	1.9565	{'f1': 0.8811369509043928}	{'accuracy': 0.8235858101629914}
0.0019	1552.0	415936	1.8904	{'f1': 0.8780169602087411}	{'accuracy': 0.8207094918504314}
0.002	1553.0	416204	1.8294	{'f1': 0.8796844181459565}	{'accuracy': 0.8245445829338447}
0.002	1554.0	416472	1.9974	{'f1': 0.8794326241134752}	{'accuracy': 0.8207094918504314}
0.0038	1555.0	416740	1.9436	{'f1': 0.8808290155440415}	{'accuracy': 0.8235858101629914}
0.0031	1556.0	417008	1.9326	{'f1': 0.8792207792207791}	{'accuracy': 0.8216682646212847}
0.0031	1557.0	417276	1.9437	{'f1': 0.8799480856586632}	{'accuracy': 0.822627037392138}
0.0019	1558.0	417544	1.9625	{'f1': 0.8802588996763754}	{'accuracy': 0.822627037392138}
0.0019	1559.0	417812	2.0105	{'f1': 0.8798449612403101}	{'accuracy': 0.8216682646212847}
0.003	1560.0	418080	1.9443	{'f1': 0.8796356538711776}	{'accuracy': 0.822627037392138}
0.003	1561.0	418348	1.9249	{'f1': 0.8787483702737942}	{'accuracy': 0.8216682646212847}
0.0033	1562.0	418616	1.9537	{'f1': 0.8796356538711776}	{'accuracy': 0.822627037392138}
0.0033	1563.0	418884	2.0539	{'f1': 0.8798449612403101}	{'accuracy': 0.8216682646212847}
0.0024	1564.0	419152	2.0297	{'f1': 0.8796895213454075}	{'accuracy': 0.8216682646212847}
0.0024	1565.0	419420	2.0538	{'f1': 0.8791208791208791}	{'accuracy': 0.8207094918504314}
0.0021	1566.0	419688	1.9807	{'f1': 0.8771929824561404}	{'accuracy': 0.8187919463087249}
0.0021	1567.0	419956	2.0284	{'f1': 0.8789644012944984}	{'accuracy': 0.8207094918504314}
0.0019	1568.0	420224	2.0183	{'f1': 0.8778280542986426}	{'accuracy': 0.8187919463087249}
0.0019	1569.0	420492	2.0209	{'f1': 0.8778280542986426}	{'accuracy': 0.8187919463087249}
0.0029	1570.0	420760	1.9751	{'f1': 0.878334417696812}	{'accuracy': 0.8207094918504314}
0.0034	1571.0	421028	1.9197	{'f1': 0.8784313725490197}	{'accuracy': 0.8216682646212847}
0.0034	1572.0	421296	1.9816	{'f1': 0.8780804150453955}	{'accuracy': 0.8197507190795782}
0.0034	1573.0	421564	1.9681	{'f1': 0.8783958602846055}	{'accuracy': 0.8197507190795782}
0.0034	1574.0	421832	2.1050	{'f1': 0.8750800768737989}	{'accuracy': 0.8130393096836049}
0.0015	1575.0	422100	1.9767	{'f1': 0.8798449612403101}	{'accuracy': 0.8216682646212847}
0.0015	1576.0	422368	1.9921	{'f1': 0.8792769528728211}	{'accuracy': 0.8207094918504314}
0.0024	1577.0	422636	2.0013	{'f1': 0.8787096774193548}	{'accuracy': 0.8197507190795782}
0.0024	1578.0	422904	2.0375	{'f1': 0.8790218790218791}	{'accuracy': 0.8197507190795782}
0.0026	1579.0	423172	2.0354	{'f1': 0.880722114764668}	{'accuracy': 0.822627037392138}
0.0026	1580.0	423440	2.0641	{'f1': 0.8786127167630058}	{'accuracy': 0.8187919463087249}
0.0022	1581.0	423708	2.0531	{'f1': 0.879177377892031}	{'accuracy': 0.8197507190795782}
0.0022	1582.0	423976	1.9907	{'f1': 0.8783958602846055}	{'accuracy': 0.8197507190795782}
0.0025	1583.0	424244	1.9915	{'f1': 0.8791208791208791}	{'accuracy': 0.8207094918504314}
0.002	1584.0	424512	1.9894	{'f1': 0.8783958602846055}	{'accuracy': 0.8197507190795782}
0.002	1585.0	424780	1.9783	{'f1': 0.876943005181347}	{'accuracy': 0.8178331735378715}
0.002	1586.0	425048	2.0742	{'f1': 0.879177377892031}	{'accuracy': 0.8197507190795782}
0.002	1587.0	425316	2.0048	{'f1': 0.8783958602846055}	{'accuracy': 0.8197507190795782}
0.0017	1588.0	425584	1.9557	{'f1': 0.8780169602087411}	{'accuracy': 0.8207094918504314}
0.0017	1589.0	425852	1.9982	{'f1': 0.8797920727745288}	{'accuracy': 0.822627037392138}
0.0034	1590.0	426120	1.9458	{'f1': 0.8759791122715405}	{'accuracy': 0.8178331735378715}
0.0034	1591.0	426388	1.9808	{'f1': 0.8796356538711776}	{'accuracy': 0.822627037392138}
0.0021	1592.0	426656	2.0526	{'f1': 0.8792769528728211}	{'accuracy': 0.8207094918504314}
0.0021	1593.0	426924	2.0566	{'f1': 0.8787096774193548}	{'accuracy': 0.8197507190795782}
0.0018	1594.0	427192	2.0762	{'f1': 0.8781431334622825}	{'accuracy': 0.8187919463087249}
0.0018	1595.0	427460	2.0954	{'f1': 0.876765083440308}	{'accuracy': 0.8159156279961649}
0.0021	1596.0	427728	1.9510	{'f1': 0.8785900783289817}	{'accuracy': 0.8216682646212847}
0.0021	1597.0	427996	2.0208	{'f1': 0.8804137039431158}	{'accuracy': 0.822627037392138}
0.0043	1598.0	428264	2.0014	{'f1': 0.8776699029126214}	{'accuracy': 0.8187919463087249}
0.002	1599.0	428532	1.9976	{'f1': 0.876943005181347}	{'accuracy': 0.8178331735378715}
0.002	1600.0	428800	2.0042	{'f1': 0.8783958602846055}	{'accuracy': 0.8197507190795782}
0.0022	1601.0	429068	2.0410	{'f1': 0.8784565916398713}	{'accuracy': 0.8187919463087249}
0.0022	1602.0	429336	1.9819	{'f1': 0.8779220779220779}	{'accuracy': 0.8197507190795782}
0.0024	1603.0	429604	2.0285	{'f1': 0.8781431334622825}	{'accuracy': 0.8187919463087249}
0.0024	1604.0	429872	2.0291	{'f1': 0.8781431334622825}	{'accuracy': 0.8187919463087249}
0.0021	1605.0	430140	2.0928	{'f1': 0.876765083440308}	{'accuracy': 0.8159156279961649}
0.0021	1606.0	430408	2.0449	{'f1': 0.8787096774193548}	{'accuracy': 0.8197507190795782}
0.0036	1607.0	430676	1.9584	{'f1': 0.8768729641693811}	{'accuracy': 0.8187919463087249}
0.0036	1608.0	430944	1.9609	{'f1': 0.8776041666666666}	{'accuracy': 0.8197507190795782}
0.0026	1609.0	431212	1.9620	{'f1': 0.8776041666666666}	{'accuracy': 0.8197507190795782}
0.0026	1610.0	431480	1.9969	{'f1': 0.8779220779220779}	{'accuracy': 0.8197507190795782}
0.0024	1611.0	431748	1.9967	{'f1': 0.8779220779220779}	{'accuracy': 0.8197507190795782}
0.0021	1612.0	432016	2.0796	{'f1': 0.8790218790218791}	{'accuracy': 0.8197507190795782}
0.0021	1613.0	432284	2.0727	{'f1': 0.8795878943979395}	{'accuracy': 0.8207094918504314}
0.0021	1614.0	432552	2.0023	{'f1': 0.8799480856586632}	{'accuracy': 0.822627037392138}
0.0021	1615.0	432820	2.0401	{'f1': 0.8789644012944984}	{'accuracy': 0.8207094918504314}
0.0048	1616.0	433088	2.0088	{'f1': 0.8804137039431158}	{'accuracy': 0.822627037392138}
0.0048	1617.0	433356	1.9605	{'f1': 0.8784925276153347}	{'accuracy': 0.8207094918504314}
0.0022	1618.0	433624	1.9041	{'f1': 0.8762278978388998}	{'accuracy': 0.8187919463087249}
0.0022	1619.0	433892	1.9567	{'f1': 0.8809368900455433}	{'accuracy': 0.8245445829338447}
0.0021	1620.0	434160	1.9671	{'f1': 0.8797920727745288}	{'accuracy': 0.822627037392138}
0.0021	1621.0	434428	2.0291	{'f1': 0.8798449612403101}	{'accuracy': 0.8216682646212847}
0.0021	1622.0	434696	2.0936	{'f1': 0.8762026940346376}	{'accuracy': 0.8149568552253116}
0.0021	1623.0	434964	2.0022	{'f1': 0.8776699029126214}	{'accuracy': 0.8187919463087249}
0.0021	1624.0	435232	2.0557	{'f1': 0.8783000643915004}	{'accuracy': 0.8187919463087249}
0.0021	1625.0	435500	2.0490	{'f1': 0.8792769528728211}	{'accuracy': 0.8207094918504314}
0.0021	1626.0	435768	2.0603	{'f1': 0.8781431334622825}	{'accuracy': 0.8187919463087249}
0.0021	1627.0	436036	2.0565	{'f1': 0.8781431334622825}	{'accuracy': 0.8187919463087249}
0.0021	1628.0	436304	1.9758	{'f1': 0.8781758957654723}	{'accuracy': 0.8207094918504314}
0.0027	1629.0	436572	2.0067	{'f1': 0.8782383419689119}	{'accuracy': 0.8197507190795782}
0.0027	1630.0	436840	2.0706	{'f1': 0.8764478764478765}	{'accuracy': 0.8159156279961649}
0.0018	1631.0	437108	2.0654	{'f1': 0.8775773195876289}	{'accuracy': 0.8178331735378715}
0.0018	1632.0	437376	2.0621	{'f1': 0.8770122343850613}	{'accuracy': 0.8168744007670182}
0.0019	1633.0	437644	1.9835	{'f1': 0.877444589308996}	{'accuracy': 0.8197507190795782}
0.0019	1634.0	437912	1.9852	{'f1': 0.8787483702737942}	{'accuracy': 0.8216682646212847}
0.0019	1635.0	438180	1.9865	{'f1': 0.8794788273615636}	{'accuracy': 0.822627037392138}
0.0019	1636.0	438448	1.9898	{'f1': 0.87890625}	{'accuracy': 0.8216682646212847}
0.0033	1637.0	438716	2.0490	{'f1': 0.8788659793814433}	{'accuracy': 0.8197507190795782}
0.0033	1638.0	438984	2.0243	{'f1': 0.8793774319066148}	{'accuracy': 0.8216682646212847}
0.002	1639.0	439252	2.0249	{'f1': 0.8802588996763754}	{'accuracy': 0.822627037392138}
0.0032	1640.0	439520	1.9412	{'f1': 0.8784313725490197}	{'accuracy': 0.8216682646212847}
0.0032	1641.0	439788	1.9130	{'f1': 0.88}	{'accuracy': 0.8245445829338447}
0.0026	1642.0	440056	1.9222	{'f1': 0.8794233289646134}	{'accuracy': 0.8235858101629914}
0.0026	1643.0	440324	1.9970	{'f1': 0.8795336787564768}	{'accuracy': 0.8216682646212847}
0.0028	1644.0	440592	1.9347	{'f1': 0.877124183006536}	{'accuracy': 0.8197507190795782}
0.0028	1645.0	440860	1.9298	{'f1': 0.877284595300261}	{'accuracy': 0.8197507190795782}
0.0045	1646.0	441128	1.9475	{'f1': 0.8781758957654723}	{'accuracy': 0.8207094918504314}
0.0045	1647.0	441396	1.9559	{'f1': 0.8803641092327698}	{'accuracy': 0.8235858101629914}
0.0032	1648.0	441664	2.0192	{'f1': 0.8805681084570691}	{'accuracy': 0.822627037392138}
0.0032	1649.0	441932	2.0021	{'f1': 0.8791208791208791}	{'accuracy': 0.8207094918504314}
0.0023	1650.0	442200	1.9616	{'f1': 0.8825438027255029}	{'accuracy': 0.8264621284755513}
0.0023	1651.0	442468	1.9237	{'f1': 0.8791639451338994}	{'accuracy': 0.822627037392138}
0.0017	1652.0	442736	1.9250	{'f1': 0.8791639451338994}	{'accuracy': 0.822627037392138}
0.002	1653.0	443004	2.0168	{'f1': 0.8783958602846055}	{'accuracy': 0.8197507190795782}
0.002	1654.0	443272	1.9849	{'f1': 0.880103694102398}	{'accuracy': 0.822627037392138}
0.0021	1655.0	443540	1.9718	{'f1': 0.8803641092327698}	{'accuracy': 0.8235858101629914}
0.0021	1656.0	443808	1.9765	{'f1': 0.8803641092327698}	{'accuracy': 0.8235858101629914}
0.0032	1657.0	444076	1.9330	{'f1': 0.8797385620915033}	{'accuracy': 0.8235858101629914}
0.0032	1658.0	444344	1.9345	{'f1': 0.8791639451338994}	{'accuracy': 0.822627037392138}
0.0021	1659.0	444612	1.9500	{'f1': 0.8807817589576548}	{'accuracy': 0.8245445829338447}
0.0021	1660.0	444880	1.9152	{'f1': 0.8783694937541091}	{'accuracy': 0.822627037392138}
0.0022	1661.0	445148	1.9548	{'f1': 0.8790058862001309}	{'accuracy': 0.822627037392138}
0.0022	1662.0	445416	1.9545	{'f1': 0.8790058862001309}	{'accuracy': 0.822627037392138}
0.0021	1663.0	445684	1.9817	{'f1': 0.878334417696812}	{'accuracy': 0.8207094918504314}
0.0021	1664.0	445952	2.0254	{'f1': 0.8779857972885732}	{'accuracy': 0.8187919463087249}
0.0019	1665.0	446220	2.0259	{'f1': 0.8785529715762274}	{'accuracy': 0.8197507190795782}
0.0019	1666.0	446488	2.0409	{'f1': 0.8787096774193548}	{'accuracy': 0.8197507190795782}
0.0017	1667.0	446756	2.0387	{'f1': 0.8779857972885732}	{'accuracy': 0.8187919463087249}
0.0027	1668.0	447024	1.9986	{'f1': 0.8796895213454075}	{'accuracy': 0.8216682646212847}
0.0027	1669.0	447292	2.0057	{'f1': 0.8796895213454075}	{'accuracy': 0.8216682646212847}
0.0021	1670.0	447560	1.9701	{'f1': 0.8790637191157347}	{'accuracy': 0.8216682646212847}
0.0021	1671.0	447828	1.9939	{'f1': 0.8815533980582524}	{'accuracy': 0.8245445829338447}
0.003	1672.0	448096	1.9974	{'f1': 0.8809831824062095}	{'accuracy': 0.8235858101629914}
0.003	1673.0	448364	2.0041	{'f1': 0.8811369509043928}	{'accuracy': 0.8235858101629914}
0.0017	1674.0	448632	2.0174	{'f1': 0.8801546391752577}	{'accuracy': 0.8216682646212847}
0.0017	1675.0	448900	2.0108	{'f1': 0.8814432989690721}	{'accuracy': 0.8235858101629914}
0.0019	1676.0	449168	1.9803	{'f1': 0.8802588996763754}	{'accuracy': 0.822627037392138}
0.0019	1677.0	449436	2.0062	{'f1': 0.880722114764668}	{'accuracy': 0.822627037392138}
0.0021	1678.0	449704	1.9986	{'f1': 0.8798449612403101}	{'accuracy': 0.8216682646212847}
0.0021	1679.0	449972	2.0141	{'f1': 0.8798449612403101}	{'accuracy': 0.8216682646212847}
0.0031	1680.0	450240	2.0039	{'f1': 0.8804137039431158}	{'accuracy': 0.822627037392138}
0.0024	1681.0	450508	2.1084	{'f1': 0.8782051282051283}	{'accuracy': 0.8178331735378715}
0.0024	1682.0	450776	1.9954	{'f1': 0.8801546391752577}	{'accuracy': 0.8216682646212847}
0.0031	1683.0	451044	1.9495	{'f1': 0.8781758957654723}	{'accuracy': 0.8207094918504314}
0.0031	1684.0	451312	1.9179	{'f1': 0.8773770491803279}	{'accuracy': 0.8207094918504314}
0.0021	1685.0	451580	1.9332	{'f1': 0.8790058862001309}	{'accuracy': 0.822627037392138}
0.0021	1686.0	451848	1.9108	{'f1': 0.8786885245901639}	{'accuracy': 0.822627037392138}
0.0019	1687.0	452116	1.9095	{'f1': 0.8792650918635171}	{'accuracy': 0.8235858101629914}
0.0019	1688.0	452384	1.9508	{'f1': 0.87890625}	{'accuracy': 0.8216682646212847}
0.0024	1689.0	452652	1.9476	{'f1': 0.8764629388816645}	{'accuracy': 0.8178331735378715}
0.0024	1690.0	452920	1.9619	{'f1': 0.8780804150453955}	{'accuracy': 0.8197507190795782}
0.0032	1691.0	453188	1.9616	{'f1': 0.8780804150453955}	{'accuracy': 0.8197507190795782}
0.0032	1692.0	453456	2.0316	{'f1': 0.8795878943979395}	{'accuracy': 0.8207094918504314}
0.0019	1693.0	453724	2.0270	{'f1': 0.8795878943979395}	{'accuracy': 0.8207094918504314}
0.0019	1694.0	453992	2.0054	{'f1': 0.8785529715762274}	{'accuracy': 0.8197507190795782}
0.0027	1695.0	454260	1.9698	{'f1': 0.8779220779220779}	{'accuracy': 0.8197507190795782}
0.0021	1696.0	454528	2.0272	{'f1': 0.8788659793814433}	{'accuracy': 0.8197507190795782}
0.0021	1697.0	454796	2.0308	{'f1': 0.8788659793814433}	{'accuracy': 0.8197507190795782}
0.0019	1698.0	455064	1.9836	{'f1': 0.880103694102398}	{'accuracy': 0.822627037392138}
0.0019	1699.0	455332	1.9901	{'f1': 0.8795336787564768}	{'accuracy': 0.8216682646212847}
0.0021	1700.0	455600	1.9960	{'f1': 0.8789644012944984}	{'accuracy': 0.8207094918504314}
0.0021	1701.0	455868	1.9740	{'f1': 0.8818181818181818}	{'accuracy': 0.825503355704698}
0.0019	1702.0	456136	1.9996	{'f1': 0.880103694102398}	{'accuracy': 0.822627037392138}
0.0019	1703.0	456404	2.0399	{'f1': 0.8801546391752577}	{'accuracy': 0.8216682646212847}
0.0021	1704.0	456672	2.0247	{'f1': 0.8791208791208791}	{'accuracy': 0.8207094918504314}
0.0021	1705.0	456940	2.0271	{'f1': 0.8789644012944984}	{'accuracy': 0.8207094918504314}
0.0018	1706.0	457208	1.9853	{'f1': 0.8805194805194805}	{'accuracy': 0.8235858101629914}
0.0018	1707.0	457476	1.9886	{'f1': 0.8810916179337233}	{'accuracy': 0.8245445829338447}
0.0021	1708.0	457744	1.9602	{'f1': 0.8813559322033898}	{'accuracy': 0.825503355704698}
0.0019	1709.0	458012	1.9544	{'f1': 0.8813559322033898}	{'accuracy': 0.825503355704698}
0.0019	1710.0	458280	1.9539	{'f1': 0.8819308545335943}	{'accuracy': 0.8264621284755513}
0.0021	1711.0	458548	2.0223	{'f1': 0.8791208791208791}	{'accuracy': 0.8207094918504314}
0.0021	1712.0	458816	1.9886	{'f1': 0.880674448767834}	{'accuracy': 0.8235858101629914}
0.0033	1713.0	459084	1.9445	{'f1': 0.8797385620915033}	{'accuracy': 0.8235858101629914}
0.0033	1714.0	459352	1.9403	{'f1': 0.8804702808621816}	{'accuracy': 0.8245445829338447}
0.0027	1715.0	459620	2.0117	{'f1': 0.8798449612403101}	{'accuracy': 0.8216682646212847}
0.0027	1716.0	459888	2.0233	{'f1': 0.8798449612403101}	{'accuracy': 0.8216682646212847}
0.0027	1717.0	460156	1.9562	{'f1': 0.8815104166666666}	{'accuracy': 0.825503355704698}
0.0027	1718.0	460424	1.9585	{'f1': 0.8802083333333333}	{'accuracy': 0.8235858101629914}
0.0022	1719.0	460692	1.9864	{'f1': 0.8805194805194805}	{'accuracy': 0.8235858101629914}
0.0022	1720.0	460960	1.9721	{'f1': 0.8809368900455433}	{'accuracy': 0.8245445829338447}
0.0018	1721.0	461228	2.0007	{'f1': 0.8795336787564768}	{'accuracy': 0.8216682646212847}
0.0018	1722.0	461496	1.9618	{'f1': 0.8809368900455433}	{'accuracy': 0.8245445829338447}
0.0022	1723.0	461764	1.9728	{'f1': 0.8803641092327698}	{'accuracy': 0.8235858101629914}
0.002	1724.0	462032	1.9706	{'f1': 0.8803641092327698}	{'accuracy': 0.8235858101629914}
0.002	1725.0	462300	1.9698	{'f1': 0.8803641092327698}	{'accuracy': 0.8235858101629914}
0.0019	1726.0	462568	1.9539	{'f1': 0.8832354859752121}	{'accuracy': 0.8283796740172579}
0.0019	1727.0	462836	2.0049	{'f1': 0.8821243523316061}	{'accuracy': 0.825503355704698}
0.0019	1728.0	463104	2.0003	{'f1': 0.8821243523316061}	{'accuracy': 0.825503355704698}
0.0019	1729.0	463372	2.0091	{'f1': 0.8822768434670116}	{'accuracy': 0.825503355704698}
0.0039	1730.0	463640	1.9588	{'f1': 0.8815104166666666}	{'accuracy': 0.825503355704698}
0.0039	1731.0	463908	1.9552	{'f1': 0.8826597131681878}	{'accuracy': 0.8274209012464045}
0.002	1732.0	464176	1.9933	{'f1': 0.8812459441920829}	{'accuracy': 0.8245445829338447}
0.002	1733.0	464444	2.0378	{'f1': 0.8800000000000001}	{'accuracy': 0.8216682646212847}
0.002	1734.0	464712	2.0415	{'f1': 0.8800000000000001}	{'accuracy': 0.8216682646212847}
0.002	1735.0	464980	2.0328	{'f1': 0.8800000000000001}	{'accuracy': 0.8216682646212847}
0.0019	1736.0	465248	1.9991	{'f1': 0.880674448767834}	{'accuracy': 0.8235858101629914}
0.0029	1737.0	465516	2.0223	{'f1': 0.8809831824062095}	{'accuracy': 0.8235858101629914}
0.0029	1738.0	465784	2.0726	{'f1': 0.8790218790218791}	{'accuracy': 0.8197507190795782}
0.0023	1739.0	466052	2.0523	{'f1': 0.8805681084570691}	{'accuracy': 0.822627037392138}
0.0023	1740.0	466320	2.0225	{'f1': 0.8802588996763754}	{'accuracy': 0.822627037392138}
0.002	1741.0	466588	2.0204	{'f1': 0.8802588996763754}	{'accuracy': 0.822627037392138}
0.002	1742.0	466856	1.9813	{'f1': 0.8833876221498371}	{'accuracy': 0.8283796740172579}
0.0014	1743.0	467124	1.9750	{'f1': 0.8819308545335943}	{'accuracy': 0.8264621284755513}
0.0014	1744.0	467392	1.9779	{'f1': 0.8826597131681878}	{'accuracy': 0.8274209012464045}
0.0024	1745.0	467660	1.9680	{'f1': 0.8825065274151437}	{'accuracy': 0.8274209012464045}
0.0024	1746.0	467928	1.9249	{'f1': 0.8839344262295081}	{'accuracy': 0.8302972195589645}
0.0021	1747.0	468196	1.9469	{'f1': 0.8829300196206671}	{'accuracy': 0.8283796740172579}
0.0021	1748.0	468464	1.9667	{'f1': 0.8826597131681878}	{'accuracy': 0.8274209012464045}
0.0021	1749.0	468732	1.9682	{'f1': 0.8826597131681878}	{'accuracy': 0.8274209012464045}
0.002	1750.0	469000	1.9667	{'f1': 0.8826597131681878}	{'accuracy': 0.8274209012464045}
0.002	1751.0	469268	1.9721	{'f1': 0.8833876221498371}	{'accuracy': 0.8283796740172579}
0.002	1752.0	469536	2.0361	{'f1': 0.8791208791208791}	{'accuracy': 0.8207094918504314}
0.002	1753.0	469804	2.0442	{'f1': 0.8792769528728211}	{'accuracy': 0.8207094918504314}
0.0021	1754.0	470072	2.0030	{'f1': 0.8823911630929175}	{'accuracy': 0.8264621284755513}
0.0021	1755.0	470340	2.0167	{'f1': 0.8795336787564768}	{'accuracy': 0.8216682646212847}
0.0017	1756.0	470608	1.9693	{'f1': 0.8833876221498371}	{'accuracy': 0.8283796740172579}
0.0017	1757.0	470876	1.9739	{'f1': 0.8828125}	{'accuracy': 0.8274209012464045}
0.0023	1758.0	471144	1.9872	{'f1': 0.8822381262199089}	{'accuracy': 0.8264621284755513}
0.0023	1759.0	471412	2.0183	{'f1': 0.8808290155440415}	{'accuracy': 0.8235858101629914}
0.0019	1760.0	471680	2.0030	{'f1': 0.880103694102398}	{'accuracy': 0.822627037392138}
0.0019	1761.0	471948	2.0636	{'f1': 0.8783000643915004}	{'accuracy': 0.8187919463087249}
0.0021	1762.0	472216	2.1016	{'f1': 0.8798972382787411}	{'accuracy': 0.8207094918504314}
0.0021	1763.0	472484	2.0775	{'f1': 0.8782051282051283}	{'accuracy': 0.8178331735378715}
0.0039	1764.0	472752	1.9883	{'f1': 0.8821243523316061}	{'accuracy': 0.825503355704698}
0.002	1765.0	473020	1.9639	{'f1': 0.8818181818181818}	{'accuracy': 0.825503355704698}
0.002	1766.0	473288	1.9799	{'f1': 0.8825438027255029}	{'accuracy': 0.8264621284755513}
0.0019	1767.0	473556	1.9869	{'f1': 0.8832684824902725}	{'accuracy': 0.8274209012464045}
0.0019	1768.0	473824	1.9858	{'f1': 0.8832684824902725}	{'accuracy': 0.8274209012464045}
0.0018	1769.0	474092	1.9433	{'f1': 0.8813559322033898}	{'accuracy': 0.825503355704698}
0.0018	1770.0	474360	1.9063	{'f1': 0.8801571709233792}	{'accuracy': 0.8245445829338447}
0.0028	1771.0	474628	1.8973	{'f1': 0.8798424162836507}	{'accuracy': 0.8245445829338447}
0.0028	1772.0	474896	1.9561	{'f1': 0.8805194805194805}	{'accuracy': 0.8235858101629914}
0.0016	1773.0	475164	1.9640	{'f1': 0.8812459441920829}	{'accuracy': 0.8245445829338447}
0.0016	1774.0	475432	1.9974	{'f1': 0.8802588996763754}	{'accuracy': 0.822627037392138}
0.003	1775.0	475700	1.9990	{'f1': 0.8802588996763754}	{'accuracy': 0.822627037392138}
0.003	1776.0	475968	2.0040	{'f1': 0.8809831824062095}	{'accuracy': 0.8235858101629914}
0.0018	1777.0	476236	2.0336	{'f1': 0.8812903225806452}	{'accuracy': 0.8235858101629914}
0.0029	1778.0	476504	1.9857	{'f1': 0.8808290155440415}	{'accuracy': 0.8235858101629914}
0.0029	1779.0	476772	1.9554	{'f1': 0.8809368900455433}	{'accuracy': 0.8245445829338447}
0.0024	1780.0	477040	1.9510	{'f1': 0.8809368900455433}	{'accuracy': 0.8245445829338447}
0.0024	1781.0	477308	1.9656	{'f1': 0.8803641092327698}	{'accuracy': 0.8235858101629914}
0.0019	1782.0	477576	1.9907	{'f1': 0.881399870382372}	{'accuracy': 0.8245445829338447}
0.0019	1783.0	477844	1.9425	{'f1': 0.881664499349805}	{'accuracy': 0.825503355704698}
0.0022	1784.0	478112	1.9485	{'f1': 0.881664499349805}	{'accuracy': 0.825503355704698}
0.0022	1785.0	478380	2.0082	{'f1': 0.8815533980582524}	{'accuracy': 0.8245445829338447}
0.0025	1786.0	478648	2.0048	{'f1': 0.8815533980582524}	{'accuracy': 0.8245445829338447}
0.0025	1787.0	478916	2.0057	{'f1': 0.8815533980582524}	{'accuracy': 0.8245445829338447}
0.0017	1788.0	479184	2.0108	{'f1': 0.8815533980582524}	{'accuracy': 0.8245445829338447}
0.0017	1789.0	479452	1.9722	{'f1': 0.8803641092327698}	{'accuracy': 0.8235858101629914}
0.0023	1790.0	479720	1.9860	{'f1': 0.8786502271252432}	{'accuracy': 0.8207094918504314}
0.0023	1791.0	479988	1.9450	{'f1': 0.8826597131681878}	{'accuracy': 0.8274209012464045}
0.0021	1792.0	480256	1.9234	{'f1': 0.8838120104438641}	{'accuracy': 0.8293384467881112}
0.0024	1793.0	480524	1.9885	{'f1': 0.8793774319066148}	{'accuracy': 0.8216682646212847}
0.0024	1794.0	480792	2.0187	{'f1': 0.8809831824062095}	{'accuracy': 0.8235858101629914}
0.0026	1795.0	481060	2.0167	{'f1': 0.8809831824062095}	{'accuracy': 0.8235858101629914}
0.0026	1796.0	481328	1.9477	{'f1': 0.8809368900455433}	{'accuracy': 0.8245445829338447}
0.0033	1797.0	481596	2.0234	{'f1': 0.8805681084570691}	{'accuracy': 0.822627037392138}
0.0033	1798.0	481864	2.0099	{'f1': 0.880103694102398}	{'accuracy': 0.822627037392138}
0.0019	1799.0	482132	2.0136	{'f1': 0.8796895213454075}	{'accuracy': 0.8216682646212847}
0.0019	1800.0	482400	2.0099	{'f1': 0.8796895213454075}	{'accuracy': 0.8216682646212847}
0.0022	1801.0	482668	2.0416	{'f1': 0.8812903225806452}	{'accuracy': 0.8235858101629914}
0.0022	1802.0	482936	2.0418	{'f1': 0.8805681084570691}	{'accuracy': 0.822627037392138}
0.0018	1803.0	483204	2.0092	{'f1': 0.8802588996763754}	{'accuracy': 0.822627037392138}
0.0018	1804.0	483472	1.9999	{'f1': 0.880674448767834}	{'accuracy': 0.8235858101629914}
0.0034	1805.0	483740	1.9820	{'f1': 0.8799480856586632}	{'accuracy': 0.822627037392138}
0.0027	1806.0	484008	2.0102	{'f1': 0.8804137039431158}	{'accuracy': 0.822627037392138}
0.0027	1807.0	484276	2.0109	{'f1': 0.8804137039431158}	{'accuracy': 0.822627037392138}
0.0017	1808.0	484544	1.9808	{'f1': 0.8805194805194805}	{'accuracy': 0.8235858101629914}
0.0017	1809.0	484812	1.9795	{'f1': 0.8805194805194805}	{'accuracy': 0.8235858101629914}
0.0023	1810.0	485080	2.0041	{'f1': 0.8804137039431158}	{'accuracy': 0.822627037392138}
0.0023	1811.0	485348	2.0001	{'f1': 0.8802588996763754}	{'accuracy': 0.822627037392138}
0.0019	1812.0	485616	1.9729	{'f1': 0.8812459441920829}	{'accuracy': 0.8245445829338447}
0.0019	1813.0	485884	1.9759	{'f1': 0.8812459441920829}	{'accuracy': 0.8245445829338447}
0.0019	1814.0	486152	1.9839	{'f1': 0.880674448767834}	{'accuracy': 0.8235858101629914}
0.0019	1815.0	486420	2.0039	{'f1': 0.8802588996763754}	{'accuracy': 0.822627037392138}
0.002	1816.0	486688	2.0100	{'f1': 0.8804137039431158}	{'accuracy': 0.822627037392138}
0.002	1817.0	486956	2.0070	{'f1': 0.8796895213454075}	{'accuracy': 0.8216682646212847}
0.0022	1818.0	487224	1.9989	{'f1': 0.8815533980582524}	{'accuracy': 0.8245445829338447}
0.0022	1819.0	487492	1.9896	{'f1': 0.8821243523316061}	{'accuracy': 0.825503355704698}
0.0032	1820.0	487760	1.9890	{'f1': 0.8821243523316061}	{'accuracy': 0.825503355704698}
0.0021	1821.0	488028	2.0286	{'f1': 0.8792769528728211}	{'accuracy': 0.8207094918504314}
0.0021	1822.0	488296	2.0204	{'f1': 0.8815533980582524}	{'accuracy': 0.8245445829338447}
0.0019	1823.0	488564	2.0185	{'f1': 0.8809831824062095}	{'accuracy': 0.8235858101629914}
0.0019	1824.0	488832	2.0001	{'f1': 0.8826960466623461}	{'accuracy': 0.8264621284755513}
0.0018	1825.0	489100	2.0339	{'f1': 0.8804137039431158}	{'accuracy': 0.822627037392138}
0.0018	1826.0	489368	2.0006	{'f1': 0.8821243523316061}	{'accuracy': 0.825503355704698}
0.0025	1827.0	489636	1.9745	{'f1': 0.8826960466623461}	{'accuracy': 0.8264621284755513}
0.0025	1828.0	489904	1.9466	{'f1': 0.8828125}	{'accuracy': 0.8274209012464045}
0.0021	1829.0	490172	1.9704	{'f1': 0.8825438027255029}	{'accuracy': 0.8264621284755513}
0.0021	1830.0	490440	2.0084	{'f1': 0.8826960466623461}	{'accuracy': 0.8264621284755513}
0.0028	1831.0	490708	2.0101	{'f1': 0.8826960466623461}	{'accuracy': 0.8264621284755513}
0.0028	1832.0	490976	1.9966	{'f1': 0.8826960466623461}	{'accuracy': 0.8264621284755513}
0.0021	1833.0	491244	2.0031	{'f1': 0.8815533980582524}	{'accuracy': 0.8245445829338447}
0.0019	1834.0	491512	2.0001	{'f1': 0.8821243523316061}	{'accuracy': 0.825503355704698}
0.0019	1835.0	491780	1.9772	{'f1': 0.8812459441920829}	{'accuracy': 0.8245445829338447}
0.0045	1836.0	492048	1.9755	{'f1': 0.8826960466623461}	{'accuracy': 0.8264621284755513}
0.0045	1837.0	492316	1.9708	{'f1': 0.8826960466623461}	{'accuracy': 0.8264621284755513}
0.0019	1838.0	492584	2.0081	{'f1': 0.8809831824062095}	{'accuracy': 0.8235858101629914}
0.0019	1839.0	492852	1.9689	{'f1': 0.8826960466623461}	{'accuracy': 0.8264621284755513}
0.0034	1840.0	493120	1.9561	{'f1': 0.8825438027255029}	{'accuracy': 0.8264621284755513}
0.0034	1841.0	493388	1.9518	{'f1': 0.8819714656290532}	{'accuracy': 0.825503355704698}
0.0023	1842.0	493656	1.9374	{'f1': 0.8831168831168831}	{'accuracy': 0.8274209012464045}
0.0023	1843.0	493924	1.9212	{'f1': 0.8822381262199089}	{'accuracy': 0.8264621284755513}
0.0021	1844.0	494192	1.8915	{'f1': 0.8810457516339869}	{'accuracy': 0.825503355704698}
0.0021	1845.0	494460	1.9087	{'f1': 0.8822381262199089}	{'accuracy': 0.8264621284755513}
0.0023	1846.0	494728	1.9609	{'f1': 0.8819714656290532}	{'accuracy': 0.825503355704698}
0.0023	1847.0	494996	1.9564	{'f1': 0.8819714656290532}	{'accuracy': 0.825503355704698}
0.0018	1848.0	495264	1.9577	{'f1': 0.8819714656290532}	{'accuracy': 0.825503355704698}
0.0019	1849.0	495532	1.9810	{'f1': 0.8826960466623461}	{'accuracy': 0.8264621284755513}
0.0019	1850.0	495800	1.9798	{'f1': 0.8826960466623461}	{'accuracy': 0.8264621284755513}
0.0019	1851.0	496068	2.0046	{'f1': 0.881859264041317}	{'accuracy': 0.8245445829338447}
0.0019	1852.0	496336	2.0246	{'f1': 0.8808757244043787}	{'accuracy': 0.822627037392138}
0.0023	1853.0	496604	2.0208	{'f1': 0.8801546391752577}	{'accuracy': 0.8216682646212847}
0.0023	1854.0	496872	1.9879	{'f1': 0.8812903225806452}	{'accuracy': 0.8235858101629914}
0.0022	1855.0	497140	1.9906	{'f1': 0.8812903225806452}	{'accuracy': 0.8235858101629914}
0.0022	1856.0	497408	1.9907	{'f1': 0.8812903225806452}	{'accuracy': 0.8235858101629914}
0.0026	1857.0	497676	1.8986	{'f1': 0.8823911630929175}	{'accuracy': 0.8264621284755513}
0.0026	1858.0	497944	1.8949	{'f1': 0.881664499349805}	{'accuracy': 0.825503355704698}
0.0025	1859.0	498212	1.9550	{'f1': 0.8826960466623461}	{'accuracy': 0.8264621284755513}
0.0025	1860.0	498480	1.9552	{'f1': 0.8826960466623461}	{'accuracy': 0.8264621284755513}
0.0025	1861.0	498748	1.9491	{'f1': 0.8826960466623461}	{'accuracy': 0.8264621284755513}
0.0033	1862.0	499016	1.9582	{'f1': 0.8815533980582524}	{'accuracy': 0.8245445829338447}
0.0033	1863.0	499284	1.9605	{'f1': 0.8815533980582524}	{'accuracy': 0.8245445829338447}
0.0021	1864.0	499552	1.9457	{'f1': 0.8826960466623461}	{'accuracy': 0.8264621284755513}
0.0021	1865.0	499820	1.9365	{'f1': 0.8819714656290532}	{'accuracy': 0.825503355704698}
0.0019	1866.0	500088	1.9337	{'f1': 0.8819714656290532}	{'accuracy': 0.825503355704698}
0.0019	1867.0	500356	1.9337	{'f1': 0.8819714656290532}	{'accuracy': 0.825503355704698}
0.0019	1868.0	500624	1.9327	{'f1': 0.8812459441920829}	{'accuracy': 0.8245445829338447}
0.0019	1869.0	500892	1.9365	{'f1': 0.8819714656290532}	{'accuracy': 0.825503355704698}
0.0016	1870.0	501160	1.9517	{'f1': 0.8826960466623461}	{'accuracy': 0.8264621284755513}
0.0016	1871.0	501428	1.9568	{'f1': 0.8821243523316061}	{'accuracy': 0.825503355704698}
0.0025	1872.0	501696	1.9511	{'f1': 0.881399870382372}	{'accuracy': 0.8245445829338447}
0.0025	1873.0	501964	1.9066	{'f1': 0.881664499349805}	{'accuracy': 0.825503355704698}
0.0023	1874.0	502232	1.9056	{'f1': 0.8809368900455433}	{'accuracy': 0.8245445829338447}
0.0019	1875.0	502500	1.9389	{'f1': 0.8819714656290532}	{'accuracy': 0.825503355704698}
0.0019	1876.0	502768	1.9354	{'f1': 0.8812459441920829}	{'accuracy': 0.8245445829338447}
0.002	1877.0	503036	1.9257	{'f1': 0.8818181818181818}	{'accuracy': 0.825503355704698}
0.002	1878.0	503304	1.9272	{'f1': 0.8810916179337233}	{'accuracy': 0.8245445829338447}
0.0018	1879.0	503572	1.9285	{'f1': 0.8810916179337233}	{'accuracy': 0.8245445829338447}
0.0018	1880.0	503840	1.9573	{'f1': 0.883419689119171}	{'accuracy': 0.8274209012464045}
0.0034	1881.0	504108	1.9556	{'f1': 0.883419689119171}	{'accuracy': 0.8274209012464045}
0.0034	1882.0	504376	1.9502	{'f1': 0.883419689119171}	{'accuracy': 0.8274209012464045}
0.0019	1883.0	504644	1.9365	{'f1': 0.8825438027255029}	{'accuracy': 0.8264621284755513}
0.0019	1884.0	504912	1.9341	{'f1': 0.8818181818181818}	{'accuracy': 0.825503355704698}
0.0017	1885.0	505180	1.9545	{'f1': 0.883419689119171}	{'accuracy': 0.8274209012464045}
0.0017	1886.0	505448	1.9482	{'f1': 0.8839922229423202}	{'accuracy': 0.8283796740172579}
0.0021	1887.0	505716	1.9516	{'f1': 0.883419689119171}	{'accuracy': 0.8274209012464045}
0.0021	1888.0	505984	1.9438	{'f1': 0.8832684824902725}	{'accuracy': 0.8274209012464045}
0.002	1889.0	506252	1.9651	{'f1': 0.883419689119171}	{'accuracy': 0.8274209012464045}
0.0035	1890.0	506520	1.9918	{'f1': 0.8835705045278138}	{'accuracy': 0.8274209012464045}
0.0035	1891.0	506788	1.9925	{'f1': 0.8835705045278138}	{'accuracy': 0.8274209012464045}
0.0019	1892.0	507056	1.9481	{'f1': 0.8845654993514916}	{'accuracy': 0.8293384467881112}
0.0019	1893.0	507324	1.9592	{'f1': 0.883419689119171}	{'accuracy': 0.8274209012464045}
0.002	1894.0	507592	1.9791	{'f1': 0.8835705045278138}	{'accuracy': 0.8274209012464045}
0.002	1895.0	507860	1.9818	{'f1': 0.8835705045278138}	{'accuracy': 0.8274209012464045}
0.0021	1896.0	508128	1.9757	{'f1': 0.8835705045278138}	{'accuracy': 0.8274209012464045}
0.0021	1897.0	508396	1.9552	{'f1': 0.8839922229423202}	{'accuracy': 0.8283796740172579}
0.0023	1898.0	508664	1.9737	{'f1': 0.8835705045278138}	{'accuracy': 0.8274209012464045}
0.0023	1899.0	508932	1.9732	{'f1': 0.8835705045278138}	{'accuracy': 0.8274209012464045}
0.002	1900.0	509200	1.9746	{'f1': 0.8835705045278138}	{'accuracy': 0.8274209012464045}
0.002	1901.0	509468	2.0016	{'f1': 0.8824289405684754}	{'accuracy': 0.825503355704698}
0.0024	1902.0	509736	1.9770	{'f1': 0.8829993535875889}	{'accuracy': 0.8264621284755513}
0.0022	1903.0	510004	1.9833	{'f1': 0.8829993535875889}	{'accuracy': 0.8264621284755513}
0.0022	1904.0	510272	1.9662	{'f1': 0.883419689119171}	{'accuracy': 0.8274209012464045}
0.0017	1905.0	510540	1.9616	{'f1': 0.883419689119171}	{'accuracy': 0.8274209012464045}
0.0017	1906.0	510808	1.9634	{'f1': 0.883419689119171}	{'accuracy': 0.8274209012464045}
0.002	1907.0	511076	1.9640	{'f1': 0.883419689119171}	{'accuracy': 0.8274209012464045}
0.002	1908.0	511344	1.9662	{'f1': 0.883419689119171}	{'accuracy': 0.8274209012464045}
0.0021	1909.0	511612	1.9679	{'f1': 0.883419689119171}	{'accuracy': 0.8274209012464045}
0.0021	1910.0	511880	1.9680	{'f1': 0.883419689119171}	{'accuracy': 0.8274209012464045}
0.002	1911.0	512148	1.9690	{'f1': 0.8835705045278138}	{'accuracy': 0.8274209012464045}
0.002	1912.0	512416	1.9777	{'f1': 0.8829993535875889}	{'accuracy': 0.8264621284755513}
0.0036	1913.0	512684	1.9775	{'f1': 0.8829993535875889}	{'accuracy': 0.8264621284755513}
0.0036	1914.0	512952	1.9347	{'f1': 0.8839922229423202}	{'accuracy': 0.8283796740172579}
0.0029	1915.0	513220	1.9436	{'f1': 0.8839922229423202}	{'accuracy': 0.8283796740172579}
0.0029	1916.0	513488	1.9618	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0019	1917.0	513756	1.9630	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0021	1918.0	514024	1.9933	{'f1': 0.8824289405684754}	{'accuracy': 0.825503355704698}
0.0021	1919.0	514292	1.9824	{'f1': 0.8829993535875889}	{'accuracy': 0.8264621284755513}
0.0017	1920.0	514560	1.9656	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0017	1921.0	514828	1.9802	{'f1': 0.8829993535875889}	{'accuracy': 0.8264621284755513}
0.0041	1922.0	515096	1.9709	{'f1': 0.8829993535875889}	{'accuracy': 0.8264621284755513}
0.0041	1923.0	515364	1.9563	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0021	1924.0	515632	1.9556	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0021	1925.0	515900	1.9548	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0017	1926.0	516168	1.9527	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0017	1927.0	516436	1.9575	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0021	1928.0	516704	1.9439	{'f1': 0.8839922229423202}	{'accuracy': 0.8283796740172579}
0.0021	1929.0	516972	1.9415	{'f1': 0.8839922229423202}	{'accuracy': 0.8283796740172579}
0.0021	1930.0	517240	1.9401	{'f1': 0.8839922229423202}	{'accuracy': 0.8283796740172579}
0.0018	1931.0	517508	1.9406	{'f1': 0.8845654993514916}	{'accuracy': 0.8293384467881112}
0.0018	1932.0	517776	1.9508	{'f1': 0.883419689119171}	{'accuracy': 0.8274209012464045}
0.0021	1933.0	518044	1.9535	{'f1': 0.883419689119171}	{'accuracy': 0.8274209012464045}
0.0021	1934.0	518312	1.9495	{'f1': 0.883419689119171}	{'accuracy': 0.8274209012464045}
0.0018	1935.0	518580	1.9455	{'f1': 0.883419689119171}	{'accuracy': 0.8274209012464045}
0.0018	1936.0	518848	1.9666	{'f1': 0.8835705045278138}	{'accuracy': 0.8274209012464045}
0.0019	1937.0	519116	1.9686	{'f1': 0.8835705045278138}	{'accuracy': 0.8274209012464045}
0.0019	1938.0	519384	1.9693	{'f1': 0.8835705045278138}	{'accuracy': 0.8274209012464045}
0.0021	1939.0	519652	1.9632	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0021	1940.0	519920	1.9633	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0018	1941.0	520188	1.9692	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0018	1942.0	520456	1.9751	{'f1': 0.8835705045278138}	{'accuracy': 0.8274209012464045}
0.002	1943.0	520724	1.9768	{'f1': 0.8824289405684754}	{'accuracy': 0.825503355704698}
0.002	1944.0	520992	1.9763	{'f1': 0.8824289405684754}	{'accuracy': 0.825503355704698}
0.0021	1945.0	521260	1.9726	{'f1': 0.8829993535875889}	{'accuracy': 0.8264621284755513}
0.0022	1946.0	521528	1.9834	{'f1': 0.8824289405684754}	{'accuracy': 0.825503355704698}
0.0022	1947.0	521796	1.9917	{'f1': 0.8824289405684754}	{'accuracy': 0.825503355704698}
0.0019	1948.0	522064	1.9913	{'f1': 0.8824289405684754}	{'accuracy': 0.825503355704698}
0.0019	1949.0	522332	1.9781	{'f1': 0.8824289405684754}	{'accuracy': 0.825503355704698}
0.0022	1950.0	522600	1.9762	{'f1': 0.8824289405684754}	{'accuracy': 0.825503355704698}
0.0022	1951.0	522868	1.9805	{'f1': 0.8824289405684754}	{'accuracy': 0.825503355704698}
0.0023	1952.0	523136	1.9652	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0023	1953.0	523404	1.9650	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0019	1954.0	523672	1.9649	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0019	1955.0	523940	1.9730	{'f1': 0.8829993535875889}	{'accuracy': 0.8264621284755513}
0.0034	1956.0	524208	1.9505	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0034	1957.0	524476	1.9502	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0029	1958.0	524744	1.9452	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0033	1959.0	525012	1.9537	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0033	1960.0	525280	1.9551	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.003	1961.0	525548	1.9494	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.003	1962.0	525816	1.9406	{'f1': 0.8821243523316061}	{'accuracy': 0.825503355704698}
0.0026	1963.0	526084	1.9416	{'f1': 0.8821243523316061}	{'accuracy': 0.825503355704698}
0.0026	1964.0	526352	1.9425	{'f1': 0.8821243523316061}	{'accuracy': 0.825503355704698}
0.002	1965.0	526620	1.9504	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.002	1966.0	526888	1.9520	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0024	1967.0	527156	1.9529	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0024	1968.0	527424	1.9532	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0019	1969.0	527692	1.9529	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0019	1970.0	527960	1.9538	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0018	1971.0	528228	1.9578	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0018	1972.0	528496	1.9586	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0022	1973.0	528764	1.9620	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.002	1974.0	529032	1.9624	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.002	1975.0	529300	1.9620	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0019	1976.0	529568	1.9629	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0019	1977.0	529836	1.9637	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.002	1978.0	530104	1.9626	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.002	1979.0	530372	1.9617	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0018	1980.0	530640	1.9620	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0018	1981.0	530908	1.9636	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0021	1982.0	531176	1.9631	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0021	1983.0	531444	1.9630	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0021	1984.0	531712	1.9624	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0021	1985.0	531980	1.9632	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0019	1986.0	532248	1.9575	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.003	1987.0	532516	1.9568	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.003	1988.0	532784	1.9564	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0027	1989.0	533052	1.9600	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0027	1990.0	533320	1.9598	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0024	1991.0	533588	1.9588	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0024	1992.0	533856	1.9593	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0018	1993.0	534124	1.9598	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0018	1994.0	534392	1.9600	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0018	1995.0	534660	1.9601	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0018	1996.0	534928	1.9600	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0021	1997.0	535196	1.9603	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0021	1998.0	535464	1.9603	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.002	1999.0	535732	1.9610	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}
0.0025	2000.0	536000	1.9610	{'f1': 0.8828478964401294}	{'accuracy': 0.8264621284755513}

Framework versions

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