End of training

README.md

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4963
-- Classification Report: {'0': {'precision': 0.9531153608883405, 'recall': 0.9704773869346733, 'f1-score': 0.96171802054155, 'support': 1592.0}, '1': {'precision': 0.7965367965367965, 'recall': 0.7076923076923077, 'f1-score': 0.7494908350305499, 'support': 260.0}, 'accuracy': 0.933585313174946, 'macro avg': {'precision': 0.8748260787125686, 'recall': 0.8390848473134905, 'f1-score': 0.85560442778605, 'support': 1852.0}, 'weighted avg': {'precision': 0.9311334890031345, 'recall': 0.933585313174946, 'f1-score': 0.9319237072408696, 'support': 1852.0}}
+- Loss: 0.5042
+- Classification Report: {'0': {'precision': 0.9435336976320583, 'recall': 0.9761306532663316, 'f1-score': 0.9595554183389935, 'support': 1592.0}, '1': {'precision': 0.8146341463414634, 'recall': 0.6423076923076924, 'f1-score': 0.7182795698924731, 'support': 260.0}, 'accuracy': 0.9292656587473002, 'macro avg': {'precision': 0.8790839219867608, 'recall': 0.8092191727870119, 'f1-score': 0.8389174941157334, 'support': 1852.0}, 'weighted avg': {'precision': 0.9254376483148041, 'recall': 0.9292656587473002, 'f1-score': 0.9256829990106483, 'support': 1852.0}}
 
 ## Model description
 
@@ -39,7 +39,7 @@ The following hyperparameters were used during training:
 - learning_rate: 5e-06
 - train_batch_size: 16
 - eval_batch_size: 16
-- seed: 42
+- seed: 52
 - distributed_type: multi-GPU
 - num_devices: 4
 - total_train_batch_size: 64
@@ -52,56 +52,56 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Classification Report                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  |
 |:-------------:|:-----:|:----:|:---------------:|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
-| No log        | 1.0   | 98   | 0.2339          | {'0': {'precision': 0.9068287037037037, 'recall': 0.9842964824120602, 'f1-score': 0.9439759036144578, 'support': 1592.0}, '1': {'precision': 0.7983870967741935, 'recall': 0.38076923076923075, 'f1-score': 0.515625, 'support': 260.0}, 'accuracy': 0.8995680345572354, 'macro avg': {'precision': 0.8526079002389486, 'recall': 0.6825328565906454, 'f1-score': 0.729800451807229, 'support': 1852.0}, 'weighted avg': {'precision': 0.891604720009496, 'recall': 0.8995680345572354, 'f1-score': 0.8838402475994692, 'support': 1852.0}}            |
-| No log        | 2.0   | 196  | 0.1974          | {'0': {'precision': 0.9299703264094955, 'recall': 0.9842964824120602, 'f1-score': 0.9563625267012511, 'support': 1592.0}, '1': {'precision': 0.8502994011976048, 'recall': 0.5461538461538461, 'f1-score': 0.6651053864168618, 'support': 260.0}, 'accuracy': 0.9227861771058316, 'macro avg': {'precision': 0.8901348638035502, 'recall': 0.7652251642829532, 'f1-score': 0.8107339565590564, 'support': 1852.0}, 'weighted avg': {'precision': 0.9187854233019946, 'recall': 0.9227861771058316, 'f1-score': 0.9154732953438315, 'support': 1852.0}} |
-| No log        | 3.0   | 294  | 0.1808          | {'0': {'precision': 0.9491945477075588, 'recall': 0.9623115577889447, 'f1-score': 0.9557080474111042, 'support': 1592.0}, '1': {'precision': 0.7478991596638656, 'recall': 0.6846153846153846, 'f1-score': 0.714859437751004, 'support': 260.0}, 'accuracy': 0.9233261339092873, 'macro avg': {'precision': 0.8485468536857121, 'recall': 0.8234634712021647, 'f1-score': 0.8352837425810541, 'support': 1852.0}, 'weighted avg': {'precision': 0.9209349359951613, 'recall': 0.9233261339092873, 'f1-score': 0.9218956076100101, 'support': 1852.0}}  |
-| No log        | 4.0   | 392  | 0.1874          | {'0': {'precision': 0.9276470588235294, 'recall': 0.9905778894472361, 'f1-score': 0.9580801944106926, 'support': 1592.0}, '1': {'precision': 0.9013157894736842, 'recall': 0.5269230769230769, 'f1-score': 0.6650485436893204, 'support': 260.0}, 'accuracy': 0.9254859611231101, 'macro avg': {'precision': 0.9144814241486068, 'recall': 0.7587504831851566, 'f1-score': 0.8115643690500065, 'support': 1852.0}, 'weighted avg': {'precision': 0.9239504443359702, 'recall': 0.9254859611231101, 'f1-score': 0.9169418417176273, 'support': 1852.0}} |
-| No log        | 5.0   | 490  | 0.2778          | {'0': {'precision': 0.98125, 'recall': 0.8875628140703518, 'f1-score': 0.9320580474934037, 'support': 1592.0}, '1': {'precision': 0.5655339805825242, 'recall': 0.8961538461538462, 'f1-score': 0.6934523809523809, 'support': 260.0}, 'accuracy': 0.8887688984881209, 'macro avg': {'precision': 0.773391990291262, 'recall': 0.891858330112099, 'f1-score': 0.8127552142228923, 'support': 1852.0}, 'weighted avg': {'precision': 0.9228881398226005, 'recall': 0.8887688984881209, 'f1-score': 0.8985604917155063, 'support': 1852.0}}              |
-| 0.2088        | 6.0   | 588  | 0.1884          | {'0': {'precision': 0.964308476736775, 'recall': 0.9503768844221105, 'f1-score': 0.957291996203733, 'support': 1592.0}, '1': {'precision': 0.7208480565371025, 'recall': 0.7846153846153846, 'f1-score': 0.7513812154696132, 'support': 260.0}, 'accuracy': 0.9271058315334774, 'macro avg': {'precision': 0.8425782666369388, 'recall': 0.8674961345187475, 'f1-score': 0.854336605836673, 'support': 1852.0}, 'weighted avg': {'precision': 0.9301293680694344, 'recall': 0.9271058315334774, 'f1-score': 0.9283844351935433, 'support': 1852.0}}    |
-| 0.2088        | 7.0   | 686  | 0.3764          | {'0': {'precision': 0.9817287420941673, 'recall': 0.8775125628140703, 'f1-score': 0.9266998341625208, 'support': 1592.0}, '1': {'precision': 0.5454545454545454, 'recall': 0.9, 'f1-score': 0.6792452830188679, 'support': 260.0}, 'accuracy': 0.8806695464362851, 'macro avg': {'precision': 0.7635916437743564, 'recall': 0.8887562814070351, 'f1-score': 0.8029725585906944, 'support': 1852.0}, 'weighted avg': {'precision': 0.9204807447257538, 'recall': 0.8806695464362851, 'f1-score': 0.8919599943691354, 'support': 1852.0}}                |
-| 0.2088        | 8.0   | 784  | 0.3698          | {'0': {'precision': 0.9257950530035336, 'recall': 0.9874371859296482, 'f1-score': 0.9556231003039514, 'support': 1592.0}, '1': {'precision': 0.8701298701298701, 'recall': 0.5153846153846153, 'f1-score': 0.6473429951690821, 'support': 260.0}, 'accuracy': 0.9211663066954644, 'macro avg': {'precision': 0.8979624615667019, 'recall': 0.7514109006571318, 'f1-score': 0.8014830477365167, 'support': 1852.0}, 'weighted avg': {'precision': 0.9179802865093909, 'recall': 0.9211663066954644, 'f1-score': 0.9123440358681706, 'support': 1852.0}} |
-| 0.2088        | 9.0   | 882  | 0.3585          | {'0': {'precision': 0.9406474820143885, 'recall': 0.9855527638190955, 'f1-score': 0.9625766871165644, 'support': 1592.0}, '1': {'precision': 0.875, 'recall': 0.6192307692307693, 'f1-score': 0.7252252252252253, 'support': 260.0}, 'accuracy': 0.9341252699784017, 'macro avg': {'precision': 0.9078237410071943, 'recall': 0.8023917665249324, 'f1-score': 0.8439009561708948, 'support': 1852.0}, 'weighted avg': {'precision': 0.9314313128331029, 'recall': 0.9341252699784017, 'f1-score': 0.9292552075853829, 'support': 1852.0}}              |
-| 0.2088        | 10.0  | 980  | 0.3604          | {'0': {'precision': 0.945995145631068, 'recall': 0.9792713567839196, 'f1-score': 0.9623456790123457, 'support': 1592.0}, '1': {'precision': 0.8382352941176471, 'recall': 0.6576923076923077, 'f1-score': 0.7370689655172413, 'support': 260.0}, 'accuracy': 0.9341252699784017, 'macro avg': {'precision': 0.8921152198743576, 'recall': 0.8184818322381137, 'f1-score': 0.8497073222647935, 'support': 1852.0}, 'weighted avg': {'precision': 0.930866872740415, 'recall': 0.9341252699784017, 'f1-score': 0.9307193585432706, 'support': 1852.0}}   |
-| 0.0436        | 11.0  | 1078 | 0.4033          | {'0': {'precision': 0.9582814445828145, 'recall': 0.9667085427135679, 'f1-score': 0.9624765478424016, 'support': 1592.0}, '1': {'precision': 0.7845528455284553, 'recall': 0.7423076923076923, 'f1-score': 0.7628458498023716, 'support': 260.0}, 'accuracy': 0.9352051835853131, 'macro avg': {'precision': 0.871417145055635, 'recall': 0.8545081175106302, 'f1-score': 0.8626611988223866, 'support': 1852.0}, 'weighted avg': {'precision': 0.933891900439114, 'recall': 0.9352051835853131, 'f1-score': 0.9344506399102158, 'support': 1852.0}}   |
-| 0.0436        | 12.0  | 1176 | 0.3949          | {'0': {'precision': 0.9597989949748744, 'recall': 0.9597989949748744, 'f1-score': 0.9597989949748744, 'support': 1592.0}, '1': {'precision': 0.7538461538461538, 'recall': 0.7538461538461538, 'f1-score': 0.7538461538461538, 'support': 260.0}, 'accuracy': 0.9308855291576674, 'macro avg': {'precision': 0.8568225744105141, 'recall': 0.8568225744105141, 'f1-score': 0.8568225744105141, 'support': 1852.0}, 'weighted avg': {'precision': 0.9308855291576674, 'recall': 0.9308855291576674, 'f1-score': 0.9308855291576674, 'support': 1852.0}} |
-| 0.0436        | 13.0  | 1274 | 0.4250          | {'0': {'precision': 0.9497856705450092, 'recall': 0.9742462311557789, 'f1-score': 0.9618604651162791, 'support': 1592.0}, '1': {'precision': 0.8127853881278538, 'recall': 0.6846153846153846, 'f1-score': 0.7432150313152401, 'support': 260.0}, 'accuracy': 0.933585313174946, 'macro avg': {'precision': 0.8812855293364315, 'recall': 0.8294308078855818, 'f1-score': 0.8525377482157597, 'support': 1852.0}, 'weighted avg': {'precision': 0.9305523695577196, 'recall': 0.933585313174946, 'f1-score': 0.9311651018396754, 'support': 1852.0}}   |
-| 0.0436        | 14.0  | 1372 | 0.4133          | {'0': {'precision': 0.9513846153846154, 'recall': 0.9711055276381909, 'f1-score': 0.9611439229095431, 'support': 1592.0}, '1': {'precision': 0.7973568281938326, 'recall': 0.6961538461538461, 'f1-score': 0.7433264887063655, 'support': 260.0}, 'accuracy': 0.9325053995680346, 'macro avg': {'precision': 0.874370721789224, 'recall': 0.8336296868960185, 'f1-score': 0.8522352058079543, 'support': 1852.0}, 'weighted avg': {'precision': 0.9297608439647431, 'recall': 0.9325053995680346, 'f1-score': 0.9305648014771316, 'support': 1852.0}}  |
-| 0.0436        | 15.0  | 1470 | 0.4521          | {'0': {'precision': 0.9595267745952677, 'recall': 0.967964824120603, 'f1-score': 0.9637273295809882, 'support': 1592.0}, '1': {'precision': 0.7926829268292683, 'recall': 0.75, 'f1-score': 0.7707509881422925, 'support': 260.0}, 'accuracy': 0.937365010799136, 'macro avg': {'precision': 0.876104850712268, 'recall': 0.8589824120603016, 'f1-score': 0.8672391588616404, 'support': 1852.0}, 'weighted avg': {'precision': 0.9361037722091122, 'recall': 0.937365010799136, 'f1-score': 0.9366356185798754, 'support': 1852.0}}                   |
-| 0.0034        | 16.0  | 1568 | 0.4702          | {'0': {'precision': 0.9539877300613497, 'recall': 0.9767587939698492, 'f1-score': 0.9652389819987586, 'support': 1592.0}, '1': {'precision': 0.8333333333333334, 'recall': 0.7115384615384616, 'f1-score': 0.7676348547717843, 'support': 260.0}, 'accuracy': 0.9395248380129589, 'macro avg': {'precision': 0.8936605316973416, 'recall': 0.8441486277541554, 'f1-score': 0.8664369183852714, 'support': 1852.0}, 'weighted avg': {'precision': 0.9370492078425138, 'recall': 0.9395248380129589, 'f1-score': 0.9374975818481035, 'support': 1852.0}} |
-| 0.0034        | 17.0  | 1666 | 0.4387          | {'0': {'precision': 0.9544334975369458, 'recall': 0.9736180904522613, 'f1-score': 0.9639303482587065, 'support': 1592.0}, '1': {'precision': 0.8157894736842105, 'recall': 0.7153846153846154, 'f1-score': 0.7622950819672131, 'support': 260.0}, 'accuracy': 0.937365010799136, 'macro avg': {'precision': 0.8851114856105782, 'recall': 0.8445013529184384, 'f1-score': 0.8631127151129598, 'support': 1852.0}, 'weighted avg': {'precision': 0.9349694337131277, 'recall': 0.937365010799136, 'f1-score': 0.935623021457525, 'support': 1852.0}}    |
-| 0.0034        | 18.0  | 1764 | 0.4214          | {'0': {'precision': 0.9576587795765878, 'recall': 0.9660804020100503, 'f1-score': 0.9618511569731082, 'support': 1592.0}, '1': {'precision': 0.7804878048780488, 'recall': 0.7384615384615385, 'f1-score': 0.758893280632411, 'support': 260.0}, 'accuracy': 0.9341252699784017, 'macro avg': {'precision': 0.8690732922273183, 'recall': 0.8522709702357945, 'f1-score': 0.8603722188027596, 'support': 1852.0}, 'weighted avg': {'precision': 0.9327859645541148, 'recall': 0.9341252699784017, 'f1-score': 0.9333581505753863, 'support': 1852.0}}  |
-| 0.0034        | 19.0  | 1862 | 0.4786          | {'0': {'precision': 0.9513546798029556, 'recall': 0.9704773869346733, 'f1-score': 0.960820895522388, 'support': 1592.0}, '1': {'precision': 0.793859649122807, 'recall': 0.6961538461538461, 'f1-score': 0.7418032786885246, 'support': 260.0}, 'accuracy': 0.9319654427645788, 'macro avg': {'precision': 0.8726071644628813, 'recall': 0.8333156165442597, 'f1-score': 0.8513120871054562, 'support': 1852.0}, 'weighted avg': {'precision': 0.9292441463381399, 'recall': 0.9319654427645788, 'f1-score': 0.9300732819280012, 'support': 1852.0}}   |
-| 0.0034        | 20.0  | 1960 | 0.4685          | {'0': {'precision': 0.9592220828105396, 'recall': 0.960427135678392, 'f1-score': 0.9598242310106717, 'support': 1592.0}, '1': {'precision': 0.7558139534883721, 'recall': 0.75, 'f1-score': 0.752895752895753, 'support': 260.0}, 'accuracy': 0.9308855291576674, 'macro avg': {'precision': 0.8575180181494558, 'recall': 0.855213567839196, 'f1-score': 0.8563599919532123, 'support': 1852.0}, 'weighted avg': {'precision': 0.9306658659510562, 'recall': 0.9308855291576674, 'f1-score': 0.9307737967180806, 'support': 1852.0}}                  |
-| 0.0014        | 21.0  | 2058 | 0.4487          | {'0': {'precision': 0.956386292834891, 'recall': 0.9641959798994975, 'f1-score': 0.960275258054426, 'support': 1592.0}, '1': {'precision': 0.7692307692307693, 'recall': 0.7307692307692307, 'f1-score': 0.7495069033530573, 'support': 260.0}, 'accuracy': 0.9314254859611231, 'macro avg': {'precision': 0.8628085310328302, 'recall': 0.847482605334364, 'f1-score': 0.8548910807037416, 'support': 1852.0}, 'weighted avg': {'precision': 0.9301117592835564, 'recall': 0.9314254859611231, 'f1-score': 0.930685748215141, 'support': 1852.0}}     |
-| 0.0014        | 22.0  | 2156 | 0.4918          | {'0': {'precision': 0.947560975609756, 'recall': 0.9761306532663316, 'f1-score': 0.9616336633663366, 'support': 1592.0}, '1': {'precision': 0.8207547169811321, 'recall': 0.6692307692307692, 'f1-score': 0.7372881355932204, 'support': 260.0}, 'accuracy': 0.9330453563714903, 'macro avg': {'precision': 0.884157846295444, 'recall': 0.8226807112485504, 'f1-score': 0.8494608994797785, 'support': 1852.0}, 'weighted avg': {'precision': 0.9297588010722603, 'recall': 0.9330453563714903, 'f1-score': 0.9301380709143872, 'support': 1852.0}}   |
-| 0.0014        | 23.0  | 2254 | 0.4848          | {'0': {'precision': 0.9486866218692731, 'recall': 0.9755025125628141, 'f1-score': 0.9619077113657479, 'support': 1592.0}, '1': {'precision': 0.8186046511627907, 'recall': 0.676923076923077, 'f1-score': 0.7410526315789474, 'support': 260.0}, 'accuracy': 0.933585313174946, 'macro avg': {'precision': 0.8836456365160319, 'recall': 0.8262127947429455, 'f1-score': 0.8514801714723477, 'support': 1852.0}, 'weighted avg': {'precision': 0.9304245741459009, 'recall': 0.933585313174946, 'f1-score': 0.9309021386095017, 'support': 1852.0}}    |
-| 0.0014        | 24.0  | 2352 | 0.4883          | {'0': {'precision': 0.950337216431637, 'recall': 0.9736180904522613, 'f1-score': 0.9618367980142725, 'support': 1592.0}, '1': {'precision': 0.8099547511312217, 'recall': 0.6884615384615385, 'f1-score': 0.7442827442827443, 'support': 260.0}, 'accuracy': 0.933585313174946, 'macro avg': {'precision': 0.8801459837814294, 'recall': 0.8310398144568999, 'f1-score': 0.8530597711485084, 'support': 1852.0}, 'weighted avg': {'precision': 0.930629094953177, 'recall': 0.933585313174946, 'f1-score': 0.9312946522420277, 'support': 1852.0}}     |
-| 0.0014        | 25.0  | 2450 | 0.5083          | {'0': {'precision': 0.947528981086028, 'recall': 0.9755025125628141, 'f1-score': 0.9613122872175797, 'support': 1592.0}, '1': {'precision': 0.8169014084507042, 'recall': 0.6692307692307692, 'f1-score': 0.7357293868921776, 'support': 260.0}, 'accuracy': 0.9325053995680346, 'macro avg': {'precision': 0.8822151947683661, 'recall': 0.8223666408967916, 'f1-score': 0.8485208370548787, 'support': 1852.0}, 'weighted avg': {'precision': 0.9291903369795571, 'recall': 0.9325053995680346, 'f1-score': 0.9296429815563462, 'support': 1852.0}}  |
-| 0.0011        | 26.0  | 2548 | 0.4622          | {'0': {'precision': 0.9547707558859975, 'recall': 0.967964824120603, 'f1-score': 0.9613225202744854, 'support': 1592.0}, '1': {'precision': 0.7857142857142857, 'recall': 0.7192307692307692, 'f1-score': 0.751004016064257, 'support': 260.0}, 'accuracy': 0.9330453563714903, 'macro avg': {'precision': 0.8702425208001416, 'recall': 0.8435977966756861, 'f1-score': 0.8561632681693712, 'support': 1852.0}, 'weighted avg': {'precision': 0.9310371261642669, 'recall': 0.9330453563714903, 'f1-score': 0.93179616439184, 'support': 1852.0}}     |
-| 0.0011        | 27.0  | 2646 | 0.5078          | {'0': {'precision': 0.9498164014687882, 'recall': 0.9748743718592965, 'f1-score': 0.9621822690638562, 'support': 1592.0}, '1': {'precision': 0.8165137614678899, 'recall': 0.6846153846153846, 'f1-score': 0.7447698744769874, 'support': 260.0}, 'accuracy': 0.9341252699784017, 'macro avg': {'precision': 0.883165081468339, 'recall': 0.8297448782373406, 'f1-score': 0.8534760717704217, 'support': 1852.0}, 'weighted avg': {'precision': 0.9311022079481438, 'recall': 0.9341252699784017, 'f1-score': 0.9316600106445333, 'support': 1852.0}}  |
-| 0.0011        | 28.0  | 2744 | 0.5243          | {'0': {'precision': 0.947528981086028, 'recall': 0.9755025125628141, 'f1-score': 0.9613122872175797, 'support': 1592.0}, '1': {'precision': 0.8169014084507042, 'recall': 0.6692307692307692, 'f1-score': 0.7357293868921776, 'support': 260.0}, 'accuracy': 0.9325053995680346, 'macro avg': {'precision': 0.8822151947683661, 'recall': 0.8223666408967916, 'f1-score': 0.8485208370548787, 'support': 1852.0}, 'weighted avg': {'precision': 0.9291903369795571, 'recall': 0.9325053995680346, 'f1-score': 0.9296429815563462, 'support': 1852.0}}  |
-| 0.0011        | 29.0  | 2842 | 0.4909          | {'0': {'precision': 0.9502762430939227, 'recall': 0.9723618090452262, 'f1-score': 0.9611921763427507, 'support': 1592.0}, '1': {'precision': 0.8026905829596412, 'recall': 0.6884615384615385, 'f1-score': 0.7412008281573499, 'support': 260.0}, 'accuracy': 0.9325053995680346, 'macro avg': {'precision': 0.876483413026782, 'recall': 0.8304116737533823, 'f1-score': 0.8511965022500503, 'support': 1852.0}, 'weighted avg': {'precision': 0.9295568739606002, 'recall': 0.9325053995680346, 'f1-score': 0.9303078618026835, 'support': 1852.0}}  |
-| 0.0011        | 30.0  | 2940 | 0.4770          | {'0': {'precision': 0.9525277435265105, 'recall': 0.9704773869346733, 'f1-score': 0.9614187927815806, 'support': 1592.0}, '1': {'precision': 0.7956521739130434, 'recall': 0.7038461538461539, 'f1-score': 0.746938775510204, 'support': 260.0}, 'accuracy': 0.9330453563714903, 'macro avg': {'precision': 0.874089958719777, 'recall': 0.8371617703904136, 'f1-score': 0.8541787841458923, 'support': 1852.0}, 'weighted avg': {'precision': 0.9305041754382267, 'recall': 0.9330453563714903, 'f1-score': 0.9313082072035255, 'support': 1852.0}}   |
-| 0.0012        | 31.0  | 3038 | 0.5137          | {'0': {'precision': 0.9464068209500609, 'recall': 0.9761306532663316, 'f1-score': 0.961038961038961, 'support': 1592.0}, '1': {'precision': 0.819047619047619, 'recall': 0.6615384615384615, 'f1-score': 0.7319148936170212, 'support': 260.0}, 'accuracy': 0.9319654427645788, 'macro avg': {'precision': 0.88272721999884, 'recall': 0.8188345574023965, 'f1-score': 0.8464769273279911, 'support': 1852.0}, 'weighted avg': {'precision': 0.9285270193870832, 'recall': 0.9319654427645788, 'f1-score': 0.9288725152885808, 'support': 1852.0}}     |
-| 0.0012        | 32.0  | 3136 | 0.4797          | {'0': {'precision': 0.9553349875930521, 'recall': 0.9673366834170855, 'f1-score': 0.9612983770287141, 'support': 1592.0}, '1': {'precision': 0.7833333333333333, 'recall': 0.7230769230769231, 'f1-score': 0.752, 'support': 260.0}, 'accuracy': 0.9330453563714903, 'macro avg': {'precision': 0.8693341604631928, 'recall': 0.8452068032470043, 'f1-score': 0.856649188514357, 'support': 1852.0}, 'weighted avg': {'precision': 0.9311878871030268, 'recall': 0.9330453563714903, 'f1-score': 0.9319152355452013, 'support': 1852.0}}               |
-| 0.0012        | 33.0  | 3234 | 0.5103          | {'0': {'precision': 0.947528981086028, 'recall': 0.9755025125628141, 'f1-score': 0.9613122872175797, 'support': 1592.0}, '1': {'precision': 0.8169014084507042, 'recall': 0.6692307692307692, 'f1-score': 0.7357293868921776, 'support': 260.0}, 'accuracy': 0.9325053995680346, 'macro avg': {'precision': 0.8822151947683661, 'recall': 0.8223666408967916, 'f1-score': 0.8485208370548787, 'support': 1852.0}, 'weighted avg': {'precision': 0.9291903369795571, 'recall': 0.9325053995680346, 'f1-score': 0.9296429815563462, 'support': 1852.0}}  |
-| 0.0012        | 34.0  | 3332 | 0.5018          | {'0': {'precision': 0.9497549019607843, 'recall': 0.9736180904522613, 'f1-score': 0.9615384615384616, 'support': 1592.0}, '1': {'precision': 0.8090909090909091, 'recall': 0.6846153846153846, 'f1-score': 0.7416666666666667, 'support': 260.0}, 'accuracy': 0.9330453563714903, 'macro avg': {'precision': 0.8794229055258467, 'recall': 0.829116737533823, 'f1-score': 0.8516025641025642, 'support': 1852.0}, 'weighted avg': {'precision': 0.9300072571734369, 'recall': 0.9330453563714903, 'f1-score': 0.9306709309409092, 'support': 1852.0}}  |
-| 0.0012        | 35.0  | 3430 | 0.5222          | {'0': {'precision': 0.9457978075517661, 'recall': 0.9755025125628141, 'f1-score': 0.9604205318491033, 'support': 1592.0}, '1': {'precision': 0.8142857142857143, 'recall': 0.6576923076923077, 'f1-score': 0.7276595744680852, 'support': 260.0}, 'accuracy': 0.9308855291576674, 'macro avg': {'precision': 0.8800417609187402, 'recall': 0.8165974101275608, 'f1-score': 0.8440400531585942, 'support': 1852.0}, 'weighted avg': {'precision': 0.927334986682882, 'recall': 0.9308855291576674, 'f1-score': 0.9277435075947487, 'support': 1852.0}}  |
-| 0.001         | 36.0  | 3528 | 0.5128          | {'0': {'precision': 0.9498164014687882, 'recall': 0.9748743718592965, 'f1-score': 0.9621822690638562, 'support': 1592.0}, '1': {'precision': 0.8165137614678899, 'recall': 0.6846153846153846, 'f1-score': 0.7447698744769874, 'support': 260.0}, 'accuracy': 0.9341252699784017, 'macro avg': {'precision': 0.883165081468339, 'recall': 0.8297448782373406, 'f1-score': 0.8534760717704217, 'support': 1852.0}, 'weighted avg': {'precision': 0.9311022079481438, 'recall': 0.9341252699784017, 'f1-score': 0.9316600106445333, 'support': 1852.0}}  |
-| 0.001         | 37.0  | 3626 | 0.5022          | {'0': {'precision': 0.9513846153846154, 'recall': 0.9711055276381909, 'f1-score': 0.9611439229095431, 'support': 1592.0}, '1': {'precision': 0.7973568281938326, 'recall': 0.6961538461538461, 'f1-score': 0.7433264887063655, 'support': 260.0}, 'accuracy': 0.9325053995680346, 'macro avg': {'precision': 0.874370721789224, 'recall': 0.8336296868960185, 'f1-score': 0.8522352058079543, 'support': 1852.0}, 'weighted avg': {'precision': 0.9297608439647431, 'recall': 0.9325053995680346, 'f1-score': 0.9305648014771316, 'support': 1852.0}}  |
-| 0.001         | 38.0  | 3724 | 0.4909          | {'0': {'precision': 0.9525277435265105, 'recall': 0.9704773869346733, 'f1-score': 0.9614187927815806, 'support': 1592.0}, '1': {'precision': 0.7956521739130434, 'recall': 0.7038461538461539, 'f1-score': 0.746938775510204, 'support': 260.0}, 'accuracy': 0.9330453563714903, 'macro avg': {'precision': 0.874089958719777, 'recall': 0.8371617703904136, 'f1-score': 0.8541787841458923, 'support': 1852.0}, 'weighted avg': {'precision': 0.9305041754382267, 'recall': 0.9330453563714903, 'f1-score': 0.9313082072035255, 'support': 1852.0}}   |
-| 0.001         | 39.0  | 3822 | 0.4992          | {'0': {'precision': 0.9508599508599509, 'recall': 0.9723618090452262, 'f1-score': 0.9614906832298137, 'support': 1592.0}, '1': {'precision': 0.8035714285714286, 'recall': 0.6923076923076923, 'f1-score': 0.743801652892562, 'support': 260.0}, 'accuracy': 0.9330453563714903, 'macro avg': {'precision': 0.8772156897156898, 'recall': 0.8323347506764592, 'f1-score': 0.8526461680611879, 'support': 1852.0}, 'weighted avg': {'precision': 0.9301822965429878, 'recall': 0.9330453563714903, 'f1-score': 0.9309295882580612, 'support': 1852.0}}  |
-| 0.001         | 40.0  | 3920 | 0.4993          | {'0': {'precision': 0.9503067484662576, 'recall': 0.9729899497487438, 'f1-score': 0.9615145872129113, 'support': 1592.0}, '1': {'precision': 0.8063063063063063, 'recall': 0.6884615384615385, 'f1-score': 0.7427385892116183, 'support': 260.0}, 'accuracy': 0.9330453563714903, 'macro avg': {'precision': 0.878306527386282, 'recall': 0.8307257441051411, 'f1-score': 0.8521265882122648, 'support': 1852.0}, 'weighted avg': {'precision': 0.9300907036705841, 'recall': 0.9330453563714903, 'f1-score': 0.9308008941889717, 'support': 1852.0}}  |
-| 0.0009        | 41.0  | 4018 | 0.5086          | {'0': {'precision': 0.9503676470588235, 'recall': 0.9742462311557789, 'f1-score': 0.9621588089330024, 'support': 1592.0}, '1': {'precision': 0.8136363636363636, 'recall': 0.6884615384615385, 'f1-score': 0.7458333333333333, 'support': 260.0}, 'accuracy': 0.9341252699784017, 'macro avg': {'precision': 0.8820020053475935, 'recall': 0.8313538848086587, 'f1-score': 0.8539960711331679, 'support': 1852.0}, 'weighted avg': {'precision': 0.9311721105092341, 'recall': 0.9341252699784017, 'f1-score': 0.931789141732185, 'support': 1852.0}}  |
-| 0.0009        | 42.0  | 4116 | 0.5173          | {'0': {'precision': 0.9469188529591214, 'recall': 0.9748743718592965, 'f1-score': 0.960693283813061, 'support': 1592.0}, '1': {'precision': 0.812206572769953, 'recall': 0.6653846153846154, 'f1-score': 0.7315010570824524, 'support': 260.0}, 'accuracy': 0.9314254859611231, 'macro avg': {'precision': 0.8795627128645371, 'recall': 0.8201294936219559, 'f1-score': 0.8460971704477567, 'support': 1852.0}, 'weighted avg': {'precision': 0.9280067617878558, 'recall': 0.9314254859611231, 'f1-score': 0.9285172692612478, 'support': 1852.0}}   |
-| 0.0009        | 43.0  | 4214 | 0.5039          | {'0': {'precision': 0.9514443761524278, 'recall': 0.9723618090452262, 'f1-score': 0.961789375582479, 'support': 1592.0}, '1': {'precision': 0.8044444444444444, 'recall': 0.6961538461538461, 'f1-score': 0.7463917525773196, 'support': 260.0}, 'accuracy': 0.933585313174946, 'macro avg': {'precision': 0.8779444102984362, 'recall': 0.8342578275995362, 'f1-score': 0.8540905640798993, 'support': 1852.0}, 'weighted avg': {'precision': 0.9308072367117822, 'recall': 0.933585313174946, 'f1-score': 0.9315499684651241, 'support': 1852.0}}    |
-| 0.0009        | 44.0  | 4312 | 0.4986          | {'0': {'precision': 0.952, 'recall': 0.9717336683417085, 'f1-score': 0.9617656201429904, 'support': 1592.0}, '1': {'precision': 0.801762114537445, 'recall': 0.7, 'f1-score': 0.7474332648870636, 'support': 260.0}, 'accuracy': 0.933585313174946, 'macro avg': {'precision': 0.8768810572687225, 'recall': 0.8358668341708542, 'f1-score': 0.854599442515027, 'support': 1852.0}, 'weighted avg': {'precision': 0.9309082882179998, 'recall': 0.933585313174946, 'f1-score': 0.9316757646534974, 'support': 1852.0}}                                 |
-| 0.0009        | 45.0  | 4410 | 0.4987          | {'0': {'precision': 0.9513846153846154, 'recall': 0.9711055276381909, 'f1-score': 0.9611439229095431, 'support': 1592.0}, '1': {'precision': 0.7973568281938326, 'recall': 0.6961538461538461, 'f1-score': 0.7433264887063655, 'support': 260.0}, 'accuracy': 0.9325053995680346, 'macro avg': {'precision': 0.874370721789224, 'recall': 0.8336296868960185, 'f1-score': 0.8522352058079543, 'support': 1852.0}, 'weighted avg': {'precision': 0.9297608439647431, 'recall': 0.9325053995680346, 'f1-score': 0.9305648014771316, 'support': 1852.0}}  |
-| 0.0009        | 46.0  | 4508 | 0.4933          | {'0': {'precision': 0.9524984577421345, 'recall': 0.9698492462311558, 'f1-score': 0.9610955493308434, 'support': 1592.0}, '1': {'precision': 0.7922077922077922, 'recall': 0.7038461538461539, 'f1-score': 0.745417515274949, 'support': 260.0}, 'accuracy': 0.9325053995680346, 'macro avg': {'precision': 0.8723531249749634, 'recall': 0.8368477000386548, 'f1-score': 0.8532565323028962, 'support': 1852.0}, 'weighted avg': {'precision': 0.9299954485418489, 'recall': 0.9325053995680346, 'f1-score': 0.9308167756512902, 'support': 1852.0}}  |
-| 0.0009        | 47.0  | 4606 | 0.4932          | {'0': {'precision': 0.9530864197530864, 'recall': 0.9698492462311558, 'f1-score': 0.9613947696139477, 'support': 1592.0}, '1': {'precision': 0.7931034482758621, 'recall': 0.7076923076923077, 'f1-score': 0.7479674796747967, 'support': 260.0}, 'accuracy': 0.9330453563714903, 'macro avg': {'precision': 0.8730949340144742, 'recall': 0.8387707769617317, 'f1-score': 0.8546811246443722, 'support': 1852.0}, 'weighted avg': {'precision': 0.9306266073426769, 'recall': 0.9330453563714903, 'f1-score': 0.9314319751300496, 'support': 1852.0}} |
-| 0.0009        | 48.0  | 4704 | 0.4988          | {'0': {'precision': 0.9508599508599509, 'recall': 0.9723618090452262, 'f1-score': 0.9614906832298137, 'support': 1592.0}, '1': {'precision': 0.8035714285714286, 'recall': 0.6923076923076923, 'f1-score': 0.743801652892562, 'support': 260.0}, 'accuracy': 0.9330453563714903, 'macro avg': {'precision': 0.8772156897156898, 'recall': 0.8323347506764592, 'f1-score': 0.8526461680611879, 'support': 1852.0}, 'weighted avg': {'precision': 0.9301822965429878, 'recall': 0.9330453563714903, 'f1-score': 0.9309295882580612, 'support': 1852.0}}  |
-| 0.0009        | 49.0  | 4802 | 0.4958          | {'0': {'precision': 0.95079950799508, 'recall': 0.9711055276381909, 'f1-score': 0.9608452454940957, 'support': 1592.0}, '1': {'precision': 0.7964601769911505, 'recall': 0.6923076923076923, 'f1-score': 0.7407407407407407, 'support': 260.0}, 'accuracy': 0.9319654427645788, 'macro avg': {'precision': 0.8736298424931153, 'recall': 0.8317066099729415, 'f1-score': 0.8507929931174182, 'support': 1852.0}, 'weighted avg': {'precision': 0.9291319993228221, 'recall': 0.9319654427645788, 'f1-score': 0.9299450450427608, 'support': 1852.0}}   |
-| 0.0009        | 50.0  | 4900 | 0.4963          | {'0': {'precision': 0.9531153608883405, 'recall': 0.9704773869346733, 'f1-score': 0.96171802054155, 'support': 1592.0}, '1': {'precision': 0.7965367965367965, 'recall': 0.7076923076923077, 'f1-score': 0.7494908350305499, 'support': 260.0}, 'accuracy': 0.933585313174946, 'macro avg': {'precision': 0.8748260787125686, 'recall': 0.8390848473134905, 'f1-score': 0.85560442778605, 'support': 1852.0}, 'weighted avg': {'precision': 0.9311334890031345, 'recall': 0.933585313174946, 'f1-score': 0.9319237072408696, 'support': 1852.0}}       |
+| No log        | 1.0   | 98   | 0.2393          | {'0': {'precision': 0.8851540616246498, 'recall': 0.992462311557789, 'f1-score': 0.9357417826473201, 'support': 1592.0}, '1': {'precision': 0.8208955223880597, 'recall': 0.21153846153846154, 'f1-score': 0.3363914373088685, 'support': 260.0}, 'accuracy': 0.8828293736501079, 'macro avg': {'precision': 0.8530247920063547, 'recall': 0.6020003865481253, 'f1-score': 0.6360666099780943, 'support': 1852.0}, 'weighted avg': {'precision': 0.8761328844100097, 'recall': 0.8828293736501079, 'f1-score': 0.8515997255263713, 'support': 1852.0}} |
+| No log        | 2.0   | 196  | 0.2073          | {'0': {'precision': 0.9095100864553314, 'recall': 0.9912060301507538, 'f1-score': 0.9486023444544635, 'support': 1592.0}, '1': {'precision': 0.8803418803418803, 'recall': 0.39615384615384613, 'f1-score': 0.5464190981432361, 'support': 260.0}, 'accuracy': 0.9076673866090713, 'macro avg': {'precision': 0.8949259833986059, 'recall': 0.6936799381523, 'f1-score': 0.7475107212988498, 'support': 1852.0}, 'weighted avg': {'precision': 0.9054151979080867, 'recall': 0.9076673866090713, 'f1-score': 0.8921403336332328, 'support': 1852.0}}   |
+| No log        | 3.0   | 294  | 0.2054          | {'0': {'precision': 0.9635653871177619, 'recall': 0.9302763819095478, 'f1-score': 0.9466283157558325, 'support': 1592.0}, '1': {'precision': 0.6476190476190476, 'recall': 0.7846153846153846, 'f1-score': 0.7095652173913043, 'support': 260.0}, 'accuracy': 0.9098272138228942, 'macro avg': {'precision': 0.8055922173684047, 'recall': 0.8574458832624662, 'f1-score': 0.8280967665735683, 'support': 1852.0}, 'weighted avg': {'precision': 0.9192100694775535, 'recall': 0.9098272138228942, 'f1-score': 0.9133473192251752, 'support': 1852.0}} |
+| No log        | 4.0   | 392  | 0.2393          | {'0': {'precision': 0.9171974522292994, 'recall': 0.9949748743718593, 'f1-score': 0.9545043687857788, 'support': 1592.0}, '1': {'precision': 0.936, 'recall': 0.45, 'f1-score': 0.6077922077922078, 'support': 260.0}, 'accuracy': 0.9184665226781857, 'macro avg': {'precision': 0.9265987261146498, 'recall': 0.7224874371859297, 'f1-score': 0.7811482882889933, 'support': 1852.0}, 'weighted avg': {'precision': 0.9198371187629831, 'recall': 0.9184665226781857, 'f1-score': 0.905829875341757, 'support': 1852.0}}                             |
+| No log        | 5.0   | 490  | 0.1935          | {'0': {'precision': 0.9317912218268091, 'recall': 0.9868090452261307, 'f1-score': 0.9585112873703477, 'support': 1592.0}, '1': {'precision': 0.8734939759036144, 'recall': 0.5576923076923077, 'f1-score': 0.6807511737089202, 'support': 260.0}, 'accuracy': 0.9265658747300216, 'macro avg': {'precision': 0.9026425988652118, 'recall': 0.7722506764592192, 'f1-score': 0.819631230539634, 'support': 1852.0}, 'weighted avg': {'precision': 0.9236069432414794, 'recall': 0.9265658747300216, 'f1-score': 0.9195168869643159, 'support': 1852.0}}  |
+| 0.2091        | 6.0   | 588  | 0.2311          | {'0': {'precision': 0.9330568720379147, 'recall': 0.989321608040201, 'f1-score': 0.9603658536585366, 'support': 1592.0}, '1': {'precision': 0.8963414634146342, 'recall': 0.5653846153846154, 'f1-score': 0.6933962264150944, 'support': 260.0}, 'accuracy': 0.9298056155507559, 'macro avg': {'precision': 0.9146991677262744, 'recall': 0.7773531117124082, 'f1-score': 0.8268810400368154, 'support': 1852.0}, 'weighted avg': {'precision': 0.9279024410216873, 'recall': 0.9298056155507559, 'f1-score': 0.9228863163565414, 'support': 1852.0}}  |
+| 0.2091        | 7.0   | 686  | 0.2382          | {'0': {'precision': 0.9474006116207951, 'recall': 0.9729899497487438, 'f1-score': 0.9600247908273939, 'support': 1592.0}, '1': {'precision': 0.8018433179723502, 'recall': 0.6692307692307692, 'f1-score': 0.7295597484276729, 'support': 260.0}, 'accuracy': 0.9303455723542117, 'macro avg': {'precision': 0.8746219647965727, 'recall': 0.8211103594897564, 'f1-score': 0.8447922696275334, 'support': 1852.0}, 'weighted avg': {'precision': 0.9269660023612942, 'recall': 0.9303455723542117, 'f1-score': 0.9276700872507592, 'support': 1852.0}} |
+| 0.2091        | 8.0   | 784  | 0.2971          | {'0': {'precision': 0.947112462006079, 'recall': 0.9786432160804021, 'f1-score': 0.9626197096076614, 'support': 1592.0}, '1': {'precision': 0.8357487922705314, 'recall': 0.6653846153846154, 'f1-score': 0.7408993576017131, 'support': 260.0}, 'accuracy': 0.9346652267818575, 'macro avg': {'precision': 0.8914306271383052, 'recall': 0.8220139157325087, 'f1-score': 0.8517595336046873, 'support': 1852.0}, 'weighted avg': {'precision': 0.9314782535118876, 'recall': 0.9346652267818575, 'f1-score': 0.9314926623498069, 'support': 1852.0}}  |
+| 0.2091        | 9.0   | 882  | 0.3370          | {'0': {'precision': 0.9486552567237164, 'recall': 0.9748743718592965, 'f1-score': 0.9615861214374225, 'support': 1592.0}, '1': {'precision': 0.8148148148148148, 'recall': 0.676923076923077, 'f1-score': 0.7394957983193278, 'support': 260.0}, 'accuracy': 0.9330453563714903, 'macro avg': {'precision': 0.8817350357692656, 'recall': 0.8258987243911867, 'f1-score': 0.8505409598783751, 'support': 1852.0}, 'weighted avg': {'precision': 0.9298655618552961, 'recall': 0.9330453563714903, 'f1-score': 0.9304071343906056, 'support': 1852.0}}  |
+| 0.2091        | 10.0  | 980  | 0.3887          | {'0': {'precision': 0.9488286066584464, 'recall': 0.9667085427135679, 'f1-score': 0.9576851275668948, 'support': 1592.0}, '1': {'precision': 0.7695652173913043, 'recall': 0.6807692307692308, 'f1-score': 0.7224489795918367, 'support': 260.0}, 'accuracy': 0.9265658747300216, 'macro avg': {'precision': 0.8591969120248754, 'recall': 0.8237388867413993, 'f1-score': 0.8400670535793657, 'support': 1852.0}, 'weighted avg': {'precision': 0.923662040130662, 'recall': 0.9265658747300216, 'f1-score': 0.9246606143522538, 'support': 1852.0}}  |
+| 0.0381        | 11.0  | 1078 | 0.3918          | {'0': {'precision': 0.9510532837670385, 'recall': 0.9641959798994975, 'f1-score': 0.9575795383655645, 'support': 1592.0}, '1': {'precision': 0.7605042016806722, 'recall': 0.6961538461538461, 'f1-score': 0.7269076305220884, 'support': 260.0}, 'accuracy': 0.9265658747300216, 'macro avg': {'precision': 0.8557787427238553, 'recall': 0.8301749130266718, 'f1-score': 0.8422435844438265, 'support': 1852.0}, 'weighted avg': {'precision': 0.9243023327181965, 'recall': 0.9265658747300216, 'f1-score': 0.9251957932039534, 'support': 1852.0}} |
+| 0.0381        | 12.0  | 1176 | 0.4461          | {'0': {'precision': 0.9425981873111783, 'recall': 0.9798994974874372, 'f1-score': 0.9608869725900832, 'support': 1592.0}, '1': {'precision': 0.8375634517766497, 'recall': 0.6346153846153846, 'f1-score': 0.7221006564551422, 'support': 260.0}, 'accuracy': 0.9314254859611231, 'macro avg': {'precision': 0.890080819543914, 'recall': 0.8072574410514108, 'f1-score': 0.8414938145226127, 'support': 1852.0}, 'weighted avg': {'precision': 0.9278524900979076, 'recall': 0.9314254859611231, 'f1-score': 0.9273640556380935, 'support': 1852.0}}  |
+| 0.0381        | 13.0  | 1274 | 0.4299          | {'0': {'precision': 0.9456322541233965, 'recall': 0.9723618090452262, 'f1-score': 0.9588107773304428, 'support': 1592.0}, '1': {'precision': 0.7953488372093023, 'recall': 0.6576923076923077, 'f1-score': 0.72, 'support': 260.0}, 'accuracy': 0.9281857451403888, 'macro avg': {'precision': 0.8704905456663494, 'recall': 0.8150270583687669, 'f1-score': 0.8394053886652214, 'support': 1852.0}, 'weighted avg': {'precision': 0.9245341502369685, 'recall': 0.9281857451403888, 'f1-score': 0.925284426301331, 'support': 1852.0}}                |
+| 0.0381        | 14.0  | 1372 | 0.4699          | {'0': {'precision': 0.9418181818181818, 'recall': 0.9761306532663316, 'f1-score': 0.958667489204195, 'support': 1592.0}, '1': {'precision': 0.8118811881188119, 'recall': 0.6307692307692307, 'f1-score': 0.70995670995671, 'support': 260.0}, 'accuracy': 0.927645788336933, 'macro avg': {'precision': 0.8768496849684968, 'recall': 0.8034499420177812, 'f1-score': 0.8343120995804525, 'support': 1852.0}, 'weighted avg': {'precision': 0.9235764872383566, 'recall': 0.927645788336933, 'f1-score': 0.9237512890938568, 'support': 1852.0}}      |
+| 0.0381        | 15.0  | 1470 | 0.4570          | {'0': {'precision': 0.9456322541233965, 'recall': 0.9723618090452262, 'f1-score': 0.9588107773304428, 'support': 1592.0}, '1': {'precision': 0.7953488372093023, 'recall': 0.6576923076923077, 'f1-score': 0.72, 'support': 260.0}, 'accuracy': 0.9281857451403888, 'macro avg': {'precision': 0.8704905456663494, 'recall': 0.8150270583687669, 'f1-score': 0.8394053886652214, 'support': 1852.0}, 'weighted avg': {'precision': 0.9245341502369685, 'recall': 0.9281857451403888, 'f1-score': 0.925284426301331, 'support': 1852.0}}                |
+| 0.0016        | 16.0  | 1568 | 0.4601          | {'0': {'precision': 0.9429957550030321, 'recall': 0.9767587939698492, 'f1-score': 0.9595803764270286, 'support': 1592.0}, '1': {'precision': 0.8177339901477833, 'recall': 0.6384615384615384, 'f1-score': 0.7170626349892009, 'support': 260.0}, 'accuracy': 0.9292656587473002, 'macro avg': {'precision': 0.8803648725754076, 'recall': 0.8076101662156938, 'f1-score': 0.8383215057081148, 'support': 1852.0}, 'weighted avg': {'precision': 0.9254104100449518, 'recall': 0.9292656587473002, 'f1-score': 0.9255336092705302, 'support': 1852.0}} |
+| 0.0016        | 17.0  | 1666 | 0.4693          | {'0': {'precision': 0.9478527607361963, 'recall': 0.9704773869346733, 'f1-score': 0.9590316573556797, 'support': 1592.0}, '1': {'precision': 0.7882882882882883, 'recall': 0.6730769230769231, 'f1-score': 0.7261410788381742, 'support': 260.0}, 'accuracy': 0.9287257019438445, 'macro avg': {'precision': 0.8680705245122423, 'recall': 0.8217771550057982, 'f1-score': 0.842586368096927, 'support': 1852.0}, 'weighted avg': {'precision': 0.9254517008892977, 'recall': 0.9287257019438445, 'f1-score': 0.9263364357495505, 'support': 1852.0}}  |
+| 0.0016        | 18.0  | 1764 | 0.4702          | {'0': {'precision': 0.9457317073170731, 'recall': 0.9742462311557789, 'f1-score': 0.9597772277227723, 'support': 1592.0}, '1': {'precision': 0.8066037735849056, 'recall': 0.6576923076923077, 'f1-score': 0.7245762711864406, 'support': 260.0}, 'accuracy': 0.9298056155507559, 'macro avg': {'precision': 0.8761677404509893, 'recall': 0.8159692694240432, 'f1-score': 0.8421767494546064, 'support': 1852.0}, 'weighted avg': {'precision': 0.9261997079810237, 'recall': 0.9298056155507559, 'f1-score': 0.9267576549908899, 'support': 1852.0}} |
+| 0.0016        | 19.0  | 1862 | 0.4698          | {'0': {'precision': 0.9435679611650486, 'recall': 0.9767587939698492, 'f1-score': 0.9598765432098766, 'support': 1592.0}, '1': {'precision': 0.8186274509803921, 'recall': 0.6423076923076924, 'f1-score': 0.7198275862068966, 'support': 260.0}, 'accuracy': 0.9298056155507559, 'macro avg': {'precision': 0.8810977060727203, 'recall': 0.8095332431387707, 'f1-score': 0.8398520647083866, 'support': 1852.0}, 'weighted avg': {'precision': 0.9260277167546757, 'recall': 0.9298056155507559, 'f1-score': 0.926176365660862, 'support': 1852.0}}  |
+| 0.0016        | 20.0  | 1960 | 0.4940          | {'0': {'precision': 0.9408569704284853, 'recall': 0.9792713567839196, 'f1-score': 0.9596799015081564, 'support': 1592.0}, '1': {'precision': 0.8307692307692308, 'recall': 0.6230769230769231, 'f1-score': 0.7120879120879121, 'support': 260.0}, 'accuracy': 0.9292656587473002, 'macro avg': {'precision': 0.8858131005988581, 'recall': 0.8011741399304213, 'f1-score': 0.8358839067980343, 'support': 1852.0}, 'weighted avg': {'precision': 0.9254018881869053, 'recall': 0.9292656587473002, 'f1-score': 0.9249207669243208, 'support': 1852.0}} |
+| 0.0015        | 21.0  | 2058 | 0.4787          | {'0': {'precision': 0.944647201946472, 'recall': 0.9755025125628141, 'f1-score': 0.9598269468479604, 'support': 1592.0}, '1': {'precision': 0.8125, 'recall': 0.65, 'f1-score': 0.7222222222222222, 'support': 260.0}, 'accuracy': 0.9298056155507559, 'macro avg': {'precision': 0.878573600973236, 'recall': 0.812751256281407, 'f1-score': 0.8410245845350913, 'support': 1852.0}, 'weighted avg': {'precision': 0.9260952189518269, 'recall': 0.9298056155507559, 'f1-score': 0.9264699120732888, 'support': 1852.0}}                              |
+| 0.0015        | 22.0  | 2156 | 0.4901          | {'0': {'precision': 0.9396863691194209, 'recall': 0.9786432160804021, 'f1-score': 0.9587692307692308, 'support': 1592.0}, '1': {'precision': 0.8247422680412371, 'recall': 0.6153846153846154, 'f1-score': 0.7048458149779736, 'support': 260.0}, 'accuracy': 0.927645788336933, 'macro avg': {'precision': 0.8822143185803291, 'recall': 0.7970139157325087, 'f1-score': 0.8318075228736022, 'support': 1852.0}, 'weighted avg': {'precision': 0.9235495082769113, 'recall': 0.927645788336933, 'f1-score': 0.9231212350317972, 'support': 1852.0}}   |
+| 0.0015        | 23.0  | 2254 | 0.4844          | {'0': {'precision': 0.9436021831412977, 'recall': 0.9773869346733668, 'f1-score': 0.9601974699166924, 'support': 1592.0}, '1': {'precision': 0.8226600985221675, 'recall': 0.6423076923076924, 'f1-score': 0.7213822894168467, 'support': 260.0}, 'accuracy': 0.9303455723542117, 'macro avg': {'precision': 0.8831311408317326, 'recall': 0.8098473134905295, 'f1-score': 0.8407898796667695, 'support': 1852.0}, 'weighted avg': {'precision': 0.9266232727736013, 'recall': 0.9303455723542117, 'f1-score': 0.9266705007320487, 'support': 1852.0}} |
+| 0.0015        | 24.0  | 2352 | 0.4912          | {'0': {'precision': 0.9431336963097399, 'recall': 0.9792713567839196, 'f1-score': 0.9608628659476117, 'support': 1592.0}, '1': {'precision': 0.8341708542713567, 'recall': 0.6384615384615384, 'f1-score': 0.7233115468409586, 'support': 260.0}, 'accuracy': 0.9314254859611231, 'macro avg': {'precision': 0.8886522752905484, 'recall': 0.808866447622729, 'f1-score': 0.8420872063942851, 'support': 1852.0}, 'weighted avg': {'precision': 0.9278365370602909, 'recall': 0.9314254859611231, 'f1-score': 0.9275133287080167, 'support': 1852.0}}  |
+| 0.0015        | 25.0  | 2450 | 0.5239          | {'0': {'precision': 0.9409638554216867, 'recall': 0.9811557788944724, 'f1-score': 0.9606396063960639, 'support': 1592.0}, '1': {'precision': 0.84375, 'recall': 0.6230769230769231, 'f1-score': 0.7168141592920354, 'support': 260.0}, 'accuracy': 0.9308855291576674, 'macro avg': {'precision': 0.8923569277108434, 'recall': 0.8021163509856977, 'f1-score': 0.8387268828440497, 'support': 1852.0}, 'weighted avg': {'precision': 0.9273161219391605, 'recall': 0.9308855291576674, 'f1-score': 0.926409252051006, 'support': 1852.0}}             |
+| 0.0011        | 26.0  | 2548 | 0.5042          | {'0': {'precision': 0.9414604707302353, 'recall': 0.9798994974874372, 'f1-score': 0.9602954755309326, 'support': 1592.0}, '1': {'precision': 0.8358974358974359, 'recall': 0.6269230769230769, 'f1-score': 0.7164835164835165, 'support': 260.0}, 'accuracy': 0.9303455723542117, 'macro avg': {'precision': 0.8886789533138356, 'recall': 0.803411287205257, 'f1-score': 0.8383894960072246, 'support': 1852.0}, 'weighted avg': {'precision': 0.9266406062288703, 'recall': 0.9303455723542117, 'f1-score': 0.9260670147575373, 'support': 1852.0}}  |
+| 0.0011        | 27.0  | 2646 | 0.4792          | {'0': {'precision': 0.9449877750611247, 'recall': 0.9711055276381909, 'f1-score': 0.9578686493184635, 'support': 1592.0}, '1': {'precision': 0.7870370370370371, 'recall': 0.6538461538461539, 'f1-score': 0.7142857142857143, 'support': 260.0}, 'accuracy': 0.9265658747300216, 'macro avg': {'precision': 0.8660124060490809, 'recall': 0.8124758407421724, 'f1-score': 0.8360771818020889, 'support': 1852.0}, 'weighted avg': {'precision': 0.9228132654033154, 'recall': 0.9265658747300216, 'f1-score': 0.9236723409445354, 'support': 1852.0}} |
+| 0.0011        | 28.0  | 2744 | 0.5223          | {'0': {'precision': 0.9392663860493085, 'recall': 0.9811557788944724, 'f1-score': 0.9597542242703533, 'support': 1592.0}, '1': {'precision': 0.8412698412698413, 'recall': 0.6115384615384616, 'f1-score': 0.7082405345211581, 'support': 260.0}, 'accuracy': 0.9292656587473002, 'macro avg': {'precision': 0.8902681136595749, 'recall': 0.7963471202164669, 'f1-score': 0.8339973793957557, 'support': 1852.0}, 'weighted avg': {'precision': 0.9255087717714136, 'recall': 0.9292656587473002, 'f1-score': 0.9244445270053475, 'support': 1852.0}} |
+| 0.0011        | 29.0  | 2842 | 0.4942          | {'0': {'precision': 0.9425287356321839, 'recall': 0.9786432160804021, 'f1-score': 0.9602465331278891, 'support': 1592.0}, '1': {'precision': 0.8291457286432161, 'recall': 0.6346153846153846, 'f1-score': 0.7189542483660131, 'support': 260.0}, 'accuracy': 0.9303455723542117, 'macro avg': {'precision': 0.8858372321376999, 'recall': 0.8066293003478933, 'f1-score': 0.8396003907469511, 'support': 1852.0}, 'weighted avg': {'precision': 0.926611034866994, 'recall': 0.9303455723542117, 'f1-score': 0.9263718063254659, 'support': 1852.0}}  |
+| 0.0011        | 30.0  | 2940 | 0.5047          | {'0': {'precision': 0.9413897280966768, 'recall': 0.9786432160804021, 'f1-score': 0.9596550662149677, 'support': 1592.0}, '1': {'precision': 0.8274111675126904, 'recall': 0.6269230769230769, 'f1-score': 0.7133479212253829, 'support': 260.0}, 'accuracy': 0.9292656587473002, 'macro avg': {'precision': 0.8844004478046836, 'recall': 0.8027831465017394, 'f1-score': 0.8365014937201753, 'support': 1852.0}, 'weighted avg': {'precision': 0.9253884182954693, 'recall': 0.9292656587473002, 'f1-score': 0.9250763093589783, 'support': 1852.0}} |
+| 0.001         | 31.0  | 3038 | 0.5236          | {'0': {'precision': 0.9403254972875226, 'recall': 0.9798994974874372, 'f1-score': 0.9597047062442325, 'support': 1592.0}, '1': {'precision': 0.8341968911917098, 'recall': 0.6192307692307693, 'f1-score': 0.7108167770419426, 'support': 260.0}, 'accuracy': 0.9292656587473002, 'macro avg': {'precision': 0.8872611942396162, 'recall': 0.7995651333591032, 'f1-score': 0.8352607416430875, 'support': 1852.0}, 'weighted avg': {'precision': 0.9254262329328189, 'recall': 0.9292656587473002, 'f1-score': 0.9247636362698289, 'support': 1852.0}} |
+| 0.001         | 32.0  | 3136 | 0.5206          | {'0': {'precision': 0.9403254972875226, 'recall': 0.9798994974874372, 'f1-score': 0.9597047062442325, 'support': 1592.0}, '1': {'precision': 0.8341968911917098, 'recall': 0.6192307692307693, 'f1-score': 0.7108167770419426, 'support': 260.0}, 'accuracy': 0.9292656587473002, 'macro avg': {'precision': 0.8872611942396162, 'recall': 0.7995651333591032, 'f1-score': 0.8352607416430875, 'support': 1852.0}, 'weighted avg': {'precision': 0.9254262329328189, 'recall': 0.9292656587473002, 'f1-score': 0.9247636362698289, 'support': 1852.0}} |
+| 0.001         | 33.0  | 3234 | 0.5022          | {'0': {'precision': 0.9425287356321839, 'recall': 0.9786432160804021, 'f1-score': 0.9602465331278891, 'support': 1592.0}, '1': {'precision': 0.8291457286432161, 'recall': 0.6346153846153846, 'f1-score': 0.7189542483660131, 'support': 260.0}, 'accuracy': 0.9303455723542117, 'macro avg': {'precision': 0.8858372321376999, 'recall': 0.8066293003478933, 'f1-score': 0.8396003907469511, 'support': 1852.0}, 'weighted avg': {'precision': 0.926611034866994, 'recall': 0.9303455723542117, 'f1-score': 0.9263718063254659, 'support': 1852.0}}  |
+| 0.001         | 34.0  | 3332 | 0.4933          | {'0': {'precision': 0.9435336976320583, 'recall': 0.9761306532663316, 'f1-score': 0.9595554183389935, 'support': 1592.0}, '1': {'precision': 0.8146341463414634, 'recall': 0.6423076923076924, 'f1-score': 0.7182795698924731, 'support': 260.0}, 'accuracy': 0.9292656587473002, 'macro avg': {'precision': 0.8790839219867608, 'recall': 0.8092191727870119, 'f1-score': 0.8389174941157334, 'support': 1852.0}, 'weighted avg': {'precision': 0.9254376483148041, 'recall': 0.9292656587473002, 'f1-score': 0.9256829990106483, 'support': 1852.0}} |
+| 0.001         | 35.0  | 3430 | 0.4717          | {'0': {'precision': 0.9484346224677717, 'recall': 0.9704773869346733, 'f1-score': 0.9593294008072027, 'support': 1592.0}, '1': {'precision': 0.7892376681614349, 'recall': 0.676923076923077, 'f1-score': 0.7287784679089027, 'support': 260.0}, 'accuracy': 0.9292656587473002, 'macro avg': {'precision': 0.8688361453146033, 'recall': 0.8237002319288751, 'f1-score': 0.8440539343580526, 'support': 1852.0}, 'weighted avg': {'precision': 0.9260851580403161, 'recall': 0.9292656587473002, 'f1-score': 0.9269626391692125, 'support': 1852.0}}  |
+| 0.0009        | 36.0  | 3528 | 0.4830          | {'0': {'precision': 0.9451553930530164, 'recall': 0.9742462311557789, 'f1-score': 0.9594803587998763, 'support': 1592.0}, '1': {'precision': 0.8056872037914692, 'recall': 0.6538461538461539, 'f1-score': 0.721868365180467, 'support': 260.0}, 'accuracy': 0.9292656587473002, 'macro avg': {'precision': 0.8754212984222428, 'recall': 0.8140461925009663, 'f1-score': 0.8406743619901716, 'support': 1852.0}, 'weighted avg': {'precision': 0.9255756256620864, 'recall': 0.9292656587473002, 'f1-score': 0.9261223035401319, 'support': 1852.0}}  |
+| 0.0009        | 37.0  | 3626 | 0.4925          | {'0': {'precision': 0.9429265330904675, 'recall': 0.9755025125628141, 'f1-score': 0.9589379438098179, 'support': 1592.0}, '1': {'precision': 0.8097560975609757, 'recall': 0.6384615384615384, 'f1-score': 0.7139784946236559, 'support': 260.0}, 'accuracy': 0.9281857451403888, 'macro avg': {'precision': 0.8763413153257216, 'recall': 0.8069820255121762, 'f1-score': 0.8364582192167369, 'support': 1852.0}, 'weighted avg': {'precision': 0.9242308995928066, 'recall': 0.9281857451403888, 'f1-score': 0.9245483883085209, 'support': 1852.0}} |
+| 0.0009        | 38.0  | 3724 | 0.4895          | {'0': {'precision': 0.9462102689486552, 'recall': 0.9723618090452262, 'f1-score': 0.9591078066914498, 'support': 1592.0}, '1': {'precision': 0.7962962962962963, 'recall': 0.6615384615384615, 'f1-score': 0.7226890756302521, 'support': 260.0}, 'accuracy': 0.9287257019438445, 'macro avg': {'precision': 0.8712532826224757, 'recall': 0.8169501352918438, 'f1-score': 0.8408984411608509, 'support': 1852.0}, 'weighted avg': {'precision': 0.9251640308873089, 'recall': 0.9287257019438445, 'f1-score': 0.9259172720932254, 'support': 1852.0}} |
+| 0.0009        | 39.0  | 3822 | 0.5265          | {'0': {'precision': 0.9402895054282268, 'recall': 0.9792713567839196, 'f1-score': 0.9593846153846154, 'support': 1592.0}, '1': {'precision': 0.8298969072164949, 'recall': 0.6192307692307693, 'f1-score': 0.7092511013215859, 'support': 260.0}, 'accuracy': 0.9287257019438445, 'macro avg': {'precision': 0.8850932063223609, 'recall': 0.7992510630073444, 'f1-score': 0.8343178583531006, 'support': 1852.0}, 'weighted avg': {'precision': 0.9247916244697763, 'recall': 0.9287257019438445, 'f1-score': 0.924268679285054, 'support': 1852.0}}  |
+| 0.0009        | 40.0  | 3920 | 0.5155          | {'0': {'precision': 0.9402895054282268, 'recall': 0.9792713567839196, 'f1-score': 0.9593846153846154, 'support': 1592.0}, '1': {'precision': 0.8298969072164949, 'recall': 0.6192307692307693, 'f1-score': 0.7092511013215859, 'support': 260.0}, 'accuracy': 0.9287257019438445, 'macro avg': {'precision': 0.8850932063223609, 'recall': 0.7992510630073444, 'f1-score': 0.8343178583531006, 'support': 1852.0}, 'weighted avg': {'precision': 0.9247916244697763, 'recall': 0.9287257019438445, 'f1-score': 0.924268679285054, 'support': 1852.0}}  |
+| 0.001         | 41.0  | 4018 | 0.4915          | {'0': {'precision': 0.9445460085313833, 'recall': 0.9736180904522613, 'f1-score': 0.9588617383235385, 'support': 1592.0}, '1': {'precision': 0.8009478672985783, 'recall': 0.65, 'f1-score': 0.7176220806794055, 'support': 260.0}, 'accuracy': 0.9281857451403888, 'macro avg': {'precision': 0.8727469379149808, 'recall': 0.8118090452261306, 'f1-score': 0.8382419095014719, 'support': 1852.0}, 'weighted avg': {'precision': 0.9243864422675985, 'recall': 0.9281857451403888, 'f1-score': 0.9249943997773858, 'support': 1852.0}}               |
+| 0.001         | 42.0  | 4116 | 0.5136          | {'0': {'precision': 0.941354292623942, 'recall': 0.9780150753768844, 'f1-score': 0.9593345656192237, 'support': 1592.0}, '1': {'precision': 0.8232323232323232, 'recall': 0.6269230769230769, 'f1-score': 0.7117903930131004, 'support': 260.0}, 'accuracy': 0.9287257019438445, 'macro avg': {'precision': 0.8822933079281325, 'recall': 0.8024690761499806, 'f1-score': 0.835562479316162, 'support': 1852.0}, 'weighted avg': {'precision': 0.9247712947611877, 'recall': 0.9287257019438445, 'f1-score': 0.9245821439790551, 'support': 1852.0}}   |
+| 0.001         | 43.0  | 4214 | 0.5052          | {'0': {'precision': 0.9434306569343066, 'recall': 0.9742462311557789, 'f1-score': 0.9585908529048207, 'support': 1592.0}, '1': {'precision': 0.8028846153846154, 'recall': 0.6423076923076924, 'f1-score': 0.7136752136752137, 'support': 260.0}, 'accuracy': 0.927645788336933, 'macro avg': {'precision': 0.8731576361594611, 'recall': 0.8082769617317356, 'f1-score': 0.8361330332900172, 'support': 1852.0}, 'weighted avg': {'precision': 0.9236995711875897, 'recall': 0.927645788336933, 'f1-score': 0.92420744782939, 'support': 1852.0}}     |
+| 0.001         | 44.0  | 4312 | 0.4930          | {'0': {'precision': 0.9450884685784015, 'recall': 0.9729899497487438, 'f1-score': 0.9588362735995049, 'support': 1592.0}, '1': {'precision': 0.7981220657276995, 'recall': 0.6538461538461539, 'f1-score': 0.718816067653277, 'support': 260.0}, 'accuracy': 0.9281857451403888, 'macro avg': {'precision': 0.8716052671530505, 'recall': 0.8134180517974487, 'f1-score': 0.8388261706263909, 'support': 1852.0}, 'weighted avg': {'precision': 0.9244560362127521, 'recall': 0.9281857451403888, 'f1-score': 0.9251401323759524, 'support': 1852.0}}  |
+| 0.001         | 45.0  | 4410 | 0.4930          | {'0': {'precision': 0.9451219512195121, 'recall': 0.9736180904522613, 'f1-score': 0.9591584158415841, 'support': 1592.0}, '1': {'precision': 0.8018867924528302, 'recall': 0.6538461538461539, 'f1-score': 0.7203389830508474, 'support': 260.0}, 'accuracy': 0.9287257019438445, 'macro avg': {'precision': 0.8735043718361712, 'recall': 0.8137321221492075, 'f1-score': 0.8397486994462158, 'support': 1852.0}, 'weighted avg': {'precision': 0.9250133436172782, 'recall': 0.9287257019438445, 'f1-score': 0.9256308496830573, 'support': 1852.0}} |
+| 0.0009        | 46.0  | 4508 | 0.4989          | {'0': {'precision': 0.9440389294403893, 'recall': 0.9748743718592965, 'f1-score': 0.9592088998763906, 'support': 1592.0}, '1': {'precision': 0.8076923076923077, 'recall': 0.6461538461538462, 'f1-score': 0.717948717948718, 'support': 260.0}, 'accuracy': 0.9287257019438445, 'macro avg': {'precision': 0.8758656185663485, 'recall': 0.8105141090065713, 'f1-score': 0.8385788089125543, 'support': 1852.0}, 'weighted avg': {'precision': 0.9248973950697083, 'recall': 0.9287257019438445, 'f1-score': 0.9253386799513394, 'support': 1852.0}}  |
+| 0.0009        | 47.0  | 4606 | 0.4990          | {'0': {'precision': 0.9434650455927052, 'recall': 0.9748743718592965, 'f1-score': 0.9589125733704047, 'support': 1592.0}, '1': {'precision': 0.8067632850241546, 'recall': 0.6423076923076924, 'f1-score': 0.715203426124197, 'support': 260.0}, 'accuracy': 0.9281857451403888, 'macro avg': {'precision': 0.8751141653084299, 'recall': 0.8085910320834944, 'f1-score': 0.8370579997473009, 'support': 1852.0}, 'weighted avg': {'precision': 0.9242736537202305, 'recall': 0.9281857451403888, 'f1-score': 0.9246985462192091, 'support': 1852.0}}  |
+| 0.0009        | 48.0  | 4704 | 0.4996          | {'0': {'precision': 0.9435336976320583, 'recall': 0.9761306532663316, 'f1-score': 0.9595554183389935, 'support': 1592.0}, '1': {'precision': 0.8146341463414634, 'recall': 0.6423076923076924, 'f1-score': 0.7182795698924731, 'support': 260.0}, 'accuracy': 0.9292656587473002, 'macro avg': {'precision': 0.8790839219867608, 'recall': 0.8092191727870119, 'f1-score': 0.8389174941157334, 'support': 1852.0}, 'weighted avg': {'precision': 0.9254376483148041, 'recall': 0.9292656587473002, 'f1-score': 0.9256829990106483, 'support': 1852.0}} |
+| 0.0009        | 49.0  | 4802 | 0.5021          | {'0': {'precision': 0.9429611650485437, 'recall': 0.9761306532663316, 'f1-score': 0.9592592592592593, 'support': 1592.0}, '1': {'precision': 0.8137254901960784, 'recall': 0.6384615384615384, 'f1-score': 0.7155172413793104, 'support': 260.0}, 'accuracy': 0.9287257019438445, 'macro avg': {'precision': 0.878343327622311, 'recall': 0.807296095863935, 'f1-score': 0.8373882503192849, 'support': 1852.0}, 'weighted avg': {'precision': 0.9248179277582407, 'recall': 0.9287257019438445, 'f1-score': 0.92504061744026, 'support': 1852.0}}     |
+| 0.0009        | 50.0  | 4900 | 0.5042          | {'0': {'precision': 0.9435336976320583, 'recall': 0.9761306532663316, 'f1-score': 0.9595554183389935, 'support': 1592.0}, '1': {'precision': 0.8146341463414634, 'recall': 0.6423076923076924, 'f1-score': 0.7182795698924731, 'support': 260.0}, 'accuracy': 0.9292656587473002, 'macro avg': {'precision': 0.8790839219867608, 'recall': 0.8092191727870119, 'f1-score': 0.8389174941157334, 'support': 1852.0}, 'weighted avg': {'precision': 0.9254376483148041, 'recall': 0.9292656587473002, 'f1-score': 0.9256829990106483, 'support': 1852.0}} |
 
 
 ### Framework versions