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+---
+library_name: transformers
+license: apache-2.0
+base_model: answerdotai/ModernBERT-large
+tags:
+- generated_from_trainer
+model-index:
+- name: multilabel_paragraph
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# multilabel_paragraph
+
+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: 0.1305
+- Classification Report Lin: {'~LIN': {'precision': 0.9908008658008658, 'recall': 0.9978201634877384, 'f1-score': 0.9942981265272876, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9886609071274298, 'macro avg': {'precision': 0.4954004329004329, 'recall': 0.4989100817438692, 'f1-score': 0.4971490632636438, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817060414387628, 'recall': 0.9886609071274298, 'f1-score': 0.9851711998798988, 'support': 1852.0}}
+- Hamming Lin: 0.0113
+- Classification Report Si: {'~SI': {'precision': 0.9826086956521739, 'recall': 0.9966923925027563, 'f1-score': 0.9896004378762999, 'support': 1814.0}, 'SI': {'precision': 0.5, 'recall': 0.15789473684210525, 'f1-score': 0.24, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.741304347826087, 'recall': 0.5772935646724308, 'f1-score': 0.61480021893815, 'support': 1852.0}, 'weighted avg': {'precision': 0.9727063574044511, 'recall': 0.9794816414686826, 'f1-score': 0.9742198673367214, 'support': 1852.0}}
+- Hamming Si: 0.0205
+- Classification Report Cl: {'~CL': {'precision': 0.9805309734513274, 'recall': 0.9946140035906643, 'f1-score': 0.9875222816399287, 'support': 1671.0}, 'CL': {'precision': 0.9426751592356688, 'recall': 0.8176795580110497, 'f1-score': 0.8757396449704142, 'support': 181.0}, 'accuracy': 0.9773218142548596, 'macro avg': {'precision': 0.9616030663434981, 'recall': 0.906146780800857, 'f1-score': 0.9316309633051715, 'support': 1852.0}, 'weighted avg': {'precision': 0.9768312421483932, 'recall': 0.9773218142548596, 'f1-score': 0.9765975207127245, 'support': 1852.0}}
+- Hamming Cl: 0.0227
+- Classification Report D: {'~D': {'precision': 0.9983731019522777, 'recall': 0.999457111834962, 'f1-score': 0.9989148128052089, 'support': 1842.0}, 'D': {'precision': 0.875, 'recall': 0.7, 'f1-score': 0.7777777777777778, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9366865509761388, 'recall': 0.849728555917481, 'f1-score': 0.8883462952914933, 'support': 1852.0}, 'weighted avg': {'precision': 0.997706940494652, 'recall': 0.9978401727861771, 'f1-score': 0.9977207683396181, 'support': 1852.0}}
+- Hamming D: 0.0022
+- Classification Report Hi: {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}
+- Hamming Hi: 0.0038
+- Classification Report Pl: {'~PL': {'precision': 0.9814207650273225, 'recall': 0.9966703662597114, 'f1-score': 0.9889867841409692, 'support': 1802.0}, 'PL': {'precision': 0.7272727272727273, 'recall': 0.32, 'f1-score': 0.4444444444444444, 'support': 50.0}, 'accuracy': 0.978401727861771, 'macro avg': {'precision': 0.8543467461500249, 'recall': 0.6583351831298557, 'f1-score': 0.7167156142927068, 'support': 1852.0}, 'weighted avg': {'precision': 0.9745593169237966, 'recall': 0.978401727861771, 'f1-score': 0.9742853170865273, 'support': 1852.0}}
+- Hamming Pl: 0.0216
+- Classification Report Ti: {'~TI': {'precision': 0.9773980154355016, 'recall': 0.9877437325905293, 'f1-score': 0.9825436408977556, 'support': 1795.0}, 'TI': {'precision': 0.42105263157894735, 'recall': 0.2807017543859649, 'f1-score': 0.3368421052631579, 'support': 57.0}, 'accuracy': 0.9659827213822895, 'macro avg': {'precision': 0.6992253235072245, 'recall': 0.634222743488247, 'f1-score': 0.6596928730804568, 'support': 1852.0}, 'weighted avg': {'precision': 0.9602750743556833, 'recall': 0.9659827213822895, 'f1-score': 0.9626705374791962, 'support': 1852.0}}
+- Hamming Ti: 0.0340
+- Classification Report Pc: {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}}
+- Hamming Pc: 0.0157
+- Global Avg: {'f1-score': 0.6669623315602826, 'hamming': 0.016468682505399568}
+
+## 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: 0.0001
+- train_batch_size: 256
+- eval_batch_size: 256
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 3
+- total_train_batch_size: 768
+- total_eval_batch_size: 768
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 50
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Classification Report Lin                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     | Hamming Lin | Classification Report Si                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   | Hamming Si | Classification Report Cl                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    | Hamming Cl | Classification Report D                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                | Hamming D | Classification Report Hi                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     | Hamming Hi | Classification Report Pl                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     | Hamming Pl | Classification Report Ti                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   | Hamming Ti | Classification Report Pc                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     | Hamming Pc | Global Avg                                                        |
+|:-------------:|:-----:|:----:|:---------------:|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:-----------:|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:----------:|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:----------:|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:---------:|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:----------:|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:----------:|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:----------:|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:----------:|:-----------------------------------------------------------------:|
+| No log        | 1.0   | 9    | 0.0970          | {'~LIN': {'precision': 0.9908207343412527, 'recall': 1.0, 'f1-score': 0.9953892053159751, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9908207343412527, 'macro avg': {'precision': 0.49541036717062636, 'recall': 0.5, 'f1-score': 0.49769460265798754, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817257276005392, 'recall': 0.9908207343412527, 'f1-score': 0.9862522633665304, 'support': 1852.0}}                                                                             | 0.0092      | {'~SI': {'precision': 0.9794816414686826, 'recall': 1.0, 'f1-score': 0.9896344789961812, 'support': 1814.0}, 'SI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.4897408207343413, 'recall': 0.5, 'f1-score': 0.4948172394980906, 'support': 1852.0}, 'weighted avg': {'precision': 0.9593842859741848, 'recall': 0.9794816414686826, 'f1-score': 0.9693288039411839, 'support': 1852.0}}                                                                              | 0.0205     | {'~CL': {'precision': 0.902267818574514, 'recall': 1.0, 'f1-score': 0.94862333238717, 'support': 1671.0}, 'CL': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 181.0}, 'accuracy': 0.902267818574514, 'macro avg': {'precision': 0.451133909287257, 'recall': 0.5, 'f1-score': 0.474311666193585, 'support': 1852.0}, 'weighted avg': {'precision': 0.8140872164352121, 'recall': 0.902267818574514, 'f1-score': 0.855912304761858, 'support': 1852.0}}                                                                                      | 0.0977     | {'~D': {'precision': 0.9946004319654428, 'recall': 1.0, 'f1-score': 0.9972929074174337, 'support': 1842.0}, 'D': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 10.0}, 'accuracy': 0.9946004319654428, 'macro avg': {'precision': 0.4973002159827214, 'recall': 0.5, 'f1-score': 0.49864645370871685, 'support': 1852.0}, 'weighted avg': {'precision': 0.9892300192658454, 'recall': 0.9946004319654428, 'f1-score': 0.9919079565134519, 'support': 1852.0}}                                                           | 0.0054    | {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}                               | 0.0038     | {'~PL': {'precision': 0.9730021598272138, 'recall': 1.0, 'f1-score': 0.9863163656267104, 'support': 1802.0}, 'PL': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 50.0}, 'accuracy': 0.9730021598272138, 'macro avg': {'precision': 0.4865010799136069, 'recall': 0.5, 'f1-score': 0.4931581828133552, 'support': 1852.0}, 'weighted avg': {'precision': 0.9467332030284229, 'recall': 0.9730021598272138, 'f1-score': 0.9596879540277172, 'support': 1852.0}}                                                                | 0.0270     | {'~TI': {'precision': 0.9692224622030238, 'recall': 1.0, 'f1-score': 0.9843707156567041, 'support': 1795.0}, 'TI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 57.0}, 'accuracy': 0.9692224622030238, 'macro avg': {'precision': 0.4846112311015119, 'recall': 0.5, 'f1-score': 0.49218535782835204, 'support': 1852.0}, 'weighted avg': {'precision': 0.9393921812388919, 'recall': 0.9692224622030238, 'f1-score': 0.9540742087493432, 'support': 1852.0}}                                                                             | 0.0308     | {'~PC': {'precision': 0.9859611231101512, 'recall': 1.0, 'f1-score': 0.9929309407286568, 'support': 1826.0}, 'PC': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 26.0}, 'accuracy': 0.9859611231101512, 'macro avg': {'precision': 0.4929805615550756, 'recall': 0.5, 'f1-score': 0.4964654703643284, 'support': 1852.0}, 'weighted avg': {'precision': 0.9721193362846307, 'recall': 0.9859611231101512, 'f1-score': 0.9789913054916455, 'support': 1852.0}}                                                                                | 0.0140     | {'f1-score': 0.49329153243911095, 'hamming': 0.02605291576673866} |
+| No log        | 2.0   | 18   | 0.0903          | {'~LIN': {'precision': 0.9908207343412527, 'recall': 1.0, 'f1-score': 0.9953892053159751, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9908207343412527, 'macro avg': {'precision': 0.49541036717062636, 'recall': 0.5, 'f1-score': 0.49769460265798754, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817257276005392, 'recall': 0.9908207343412527, 'f1-score': 0.9862522633665304, 'support': 1852.0}}                                                                             | 0.0092      | {'~SI': {'precision': 0.9794816414686826, 'recall': 1.0, 'f1-score': 0.9896344789961812, 'support': 1814.0}, 'SI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.4897408207343413, 'recall': 0.5, 'f1-score': 0.4948172394980906, 'support': 1852.0}, 'weighted avg': {'precision': 0.9593842859741848, 'recall': 0.9794816414686826, 'f1-score': 0.9693288039411839, 'support': 1852.0}}                                                                              | 0.0205     | {'~CL': {'precision': 0.902267818574514, 'recall': 1.0, 'f1-score': 0.94862333238717, 'support': 1671.0}, 'CL': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 181.0}, 'accuracy': 0.902267818574514, 'macro avg': {'precision': 0.451133909287257, 'recall': 0.5, 'f1-score': 0.474311666193585, 'support': 1852.0}, 'weighted avg': {'precision': 0.8140872164352121, 'recall': 0.902267818574514, 'f1-score': 0.855912304761858, 'support': 1852.0}}                                                                                      | 0.0977     | {'~D': {'precision': 0.9946004319654428, 'recall': 1.0, 'f1-score': 0.9972929074174337, 'support': 1842.0}, 'D': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 10.0}, 'accuracy': 0.9946004319654428, 'macro avg': {'precision': 0.4973002159827214, 'recall': 0.5, 'f1-score': 0.49864645370871685, 'support': 1852.0}, 'weighted avg': {'precision': 0.9892300192658454, 'recall': 0.9946004319654428, 'f1-score': 0.9919079565134519, 'support': 1852.0}}                                                           | 0.0054    | {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}                               | 0.0038     | {'~PL': {'precision': 0.9730021598272138, 'recall': 1.0, 'f1-score': 0.9863163656267104, 'support': 1802.0}, 'PL': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 50.0}, 'accuracy': 0.9730021598272138, 'macro avg': {'precision': 0.4865010799136069, 'recall': 0.5, 'f1-score': 0.4931581828133552, 'support': 1852.0}, 'weighted avg': {'precision': 0.9467332030284229, 'recall': 0.9730021598272138, 'f1-score': 0.9596879540277172, 'support': 1852.0}}                                                                | 0.0270     | {'~TI': {'precision': 0.9692224622030238, 'recall': 1.0, 'f1-score': 0.9843707156567041, 'support': 1795.0}, 'TI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 57.0}, 'accuracy': 0.9692224622030238, 'macro avg': {'precision': 0.4846112311015119, 'recall': 0.5, 'f1-score': 0.49218535782835204, 'support': 1852.0}, 'weighted avg': {'precision': 0.9393921812388919, 'recall': 0.9692224622030238, 'f1-score': 0.9540742087493432, 'support': 1852.0}}                                                                             | 0.0308     | {'~PC': {'precision': 0.9859611231101512, 'recall': 1.0, 'f1-score': 0.9929309407286568, 'support': 1826.0}, 'PC': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 26.0}, 'accuracy': 0.9859611231101512, 'macro avg': {'precision': 0.4929805615550756, 'recall': 0.5, 'f1-score': 0.4964654703643284, 'support': 1852.0}, 'weighted avg': {'precision': 0.9721193362846307, 'recall': 0.9859611231101512, 'f1-score': 0.9789913054916455, 'support': 1852.0}}                                                                                | 0.0140     | {'f1-score': 0.49329153243911095, 'hamming': 0.02605291576673866} |
+| No log        | 3.0   | 27   | 0.0879          | {'~LIN': {'precision': 0.9908207343412527, 'recall': 1.0, 'f1-score': 0.9953892053159751, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9908207343412527, 'macro avg': {'precision': 0.49541036717062636, 'recall': 0.5, 'f1-score': 0.49769460265798754, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817257276005392, 'recall': 0.9908207343412527, 'f1-score': 0.9862522633665304, 'support': 1852.0}}                                                                             | 0.0092      | {'~SI': {'precision': 0.9794816414686826, 'recall': 1.0, 'f1-score': 0.9896344789961812, 'support': 1814.0}, 'SI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.4897408207343413, 'recall': 0.5, 'f1-score': 0.4948172394980906, 'support': 1852.0}, 'weighted avg': {'precision': 0.9593842859741848, 'recall': 0.9794816414686826, 'f1-score': 0.9693288039411839, 'support': 1852.0}}                                                                              | 0.0205     | {'~CL': {'precision': 0.902267818574514, 'recall': 1.0, 'f1-score': 0.94862333238717, 'support': 1671.0}, 'CL': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 181.0}, 'accuracy': 0.902267818574514, 'macro avg': {'precision': 0.451133909287257, 'recall': 0.5, 'f1-score': 0.474311666193585, 'support': 1852.0}, 'weighted avg': {'precision': 0.8140872164352121, 'recall': 0.902267818574514, 'f1-score': 0.855912304761858, 'support': 1852.0}}                                                                                      | 0.0977     | {'~D': {'precision': 0.9946004319654428, 'recall': 1.0, 'f1-score': 0.9972929074174337, 'support': 1842.0}, 'D': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 10.0}, 'accuracy': 0.9946004319654428, 'macro avg': {'precision': 0.4973002159827214, 'recall': 0.5, 'f1-score': 0.49864645370871685, 'support': 1852.0}, 'weighted avg': {'precision': 0.9892300192658454, 'recall': 0.9946004319654428, 'f1-score': 0.9919079565134519, 'support': 1852.0}}                                                           | 0.0054    | {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}                               | 0.0038     | {'~PL': {'precision': 0.9730021598272138, 'recall': 1.0, 'f1-score': 0.9863163656267104, 'support': 1802.0}, 'PL': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 50.0}, 'accuracy': 0.9730021598272138, 'macro avg': {'precision': 0.4865010799136069, 'recall': 0.5, 'f1-score': 0.4931581828133552, 'support': 1852.0}, 'weighted avg': {'precision': 0.9467332030284229, 'recall': 0.9730021598272138, 'f1-score': 0.9596879540277172, 'support': 1852.0}}                                                                | 0.0270     | {'~TI': {'precision': 0.9692224622030238, 'recall': 1.0, 'f1-score': 0.9843707156567041, 'support': 1795.0}, 'TI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 57.0}, 'accuracy': 0.9692224622030238, 'macro avg': {'precision': 0.4846112311015119, 'recall': 0.5, 'f1-score': 0.49218535782835204, 'support': 1852.0}, 'weighted avg': {'precision': 0.9393921812388919, 'recall': 0.9692224622030238, 'f1-score': 0.9540742087493432, 'support': 1852.0}}                                                                             | 0.0308     | {'~PC': {'precision': 0.9859611231101512, 'recall': 1.0, 'f1-score': 0.9929309407286568, 'support': 1826.0}, 'PC': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 26.0}, 'accuracy': 0.9859611231101512, 'macro avg': {'precision': 0.4929805615550756, 'recall': 0.5, 'f1-score': 0.4964654703643284, 'support': 1852.0}, 'weighted avg': {'precision': 0.9721193362846307, 'recall': 0.9859611231101512, 'f1-score': 0.9789913054916455, 'support': 1852.0}}                                                                                | 0.0140     | {'f1-score': 0.49329153243911095, 'hamming': 0.02605291576673866} |
+| No log        | 4.0   | 36   | 0.0894          | {'~LIN': {'precision': 0.9908207343412527, 'recall': 1.0, 'f1-score': 0.9953892053159751, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9908207343412527, 'macro avg': {'precision': 0.49541036717062636, 'recall': 0.5, 'f1-score': 0.49769460265798754, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817257276005392, 'recall': 0.9908207343412527, 'f1-score': 0.9862522633665304, 'support': 1852.0}}                                                                             | 0.0092      | {'~SI': {'precision': 0.9794816414686826, 'recall': 1.0, 'f1-score': 0.9896344789961812, 'support': 1814.0}, 'SI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.4897408207343413, 'recall': 0.5, 'f1-score': 0.4948172394980906, 'support': 1852.0}, 'weighted avg': {'precision': 0.9593842859741848, 'recall': 0.9794816414686826, 'f1-score': 0.9693288039411839, 'support': 1852.0}}                                                                              | 0.0205     | {'~CL': {'precision': 0.902267818574514, 'recall': 1.0, 'f1-score': 0.94862333238717, 'support': 1671.0}, 'CL': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 181.0}, 'accuracy': 0.902267818574514, 'macro avg': {'precision': 0.451133909287257, 'recall': 0.5, 'f1-score': 0.474311666193585, 'support': 1852.0}, 'weighted avg': {'precision': 0.8140872164352121, 'recall': 0.902267818574514, 'f1-score': 0.855912304761858, 'support': 1852.0}}                                                                                      | 0.0977     | {'~D': {'precision': 0.9946004319654428, 'recall': 1.0, 'f1-score': 0.9972929074174337, 'support': 1842.0}, 'D': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 10.0}, 'accuracy': 0.9946004319654428, 'macro avg': {'precision': 0.4973002159827214, 'recall': 0.5, 'f1-score': 0.49864645370871685, 'support': 1852.0}, 'weighted avg': {'precision': 0.9892300192658454, 'recall': 0.9946004319654428, 'f1-score': 0.9919079565134519, 'support': 1852.0}}                                                           | 0.0054    | {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}                               | 0.0038     | {'~PL': {'precision': 0.9730021598272138, 'recall': 1.0, 'f1-score': 0.9863163656267104, 'support': 1802.0}, 'PL': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 50.0}, 'accuracy': 0.9730021598272138, 'macro avg': {'precision': 0.4865010799136069, 'recall': 0.5, 'f1-score': 0.4931581828133552, 'support': 1852.0}, 'weighted avg': {'precision': 0.9467332030284229, 'recall': 0.9730021598272138, 'f1-score': 0.9596879540277172, 'support': 1852.0}}                                                                | 0.0270     | {'~TI': {'precision': 0.9692224622030238, 'recall': 1.0, 'f1-score': 0.9843707156567041, 'support': 1795.0}, 'TI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 57.0}, 'accuracy': 0.9692224622030238, 'macro avg': {'precision': 0.4846112311015119, 'recall': 0.5, 'f1-score': 0.49218535782835204, 'support': 1852.0}, 'weighted avg': {'precision': 0.9393921812388919, 'recall': 0.9692224622030238, 'f1-score': 0.9540742087493432, 'support': 1852.0}}                                                                             | 0.0308     | {'~PC': {'precision': 0.9859611231101512, 'recall': 1.0, 'f1-score': 0.9929309407286568, 'support': 1826.0}, 'PC': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 26.0}, 'accuracy': 0.9859611231101512, 'macro avg': {'precision': 0.4929805615550756, 'recall': 0.5, 'f1-score': 0.4964654703643284, 'support': 1852.0}, 'weighted avg': {'precision': 0.9721193362846307, 'recall': 0.9859611231101512, 'f1-score': 0.9789913054916455, 'support': 1852.0}}                                                                                | 0.0140     | {'f1-score': 0.49329153243911095, 'hamming': 0.02605291576673866} |
+| No log        | 5.0   | 45   | 0.0849          | {'~LIN': {'precision': 0.9908207343412527, 'recall': 1.0, 'f1-score': 0.9953892053159751, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9908207343412527, 'macro avg': {'precision': 0.49541036717062636, 'recall': 0.5, 'f1-score': 0.49769460265798754, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817257276005392, 'recall': 0.9908207343412527, 'f1-score': 0.9862522633665304, 'support': 1852.0}}                                                                             | 0.0092      | {'~SI': {'precision': 0.9794816414686826, 'recall': 1.0, 'f1-score': 0.9896344789961812, 'support': 1814.0}, 'SI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.4897408207343413, 'recall': 0.5, 'f1-score': 0.4948172394980906, 'support': 1852.0}, 'weighted avg': {'precision': 0.9593842859741848, 'recall': 0.9794816414686826, 'f1-score': 0.9693288039411839, 'support': 1852.0}}                                                                              | 0.0205     | {'~CL': {'precision': 0.902267818574514, 'recall': 1.0, 'f1-score': 0.94862333238717, 'support': 1671.0}, 'CL': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 181.0}, 'accuracy': 0.902267818574514, 'macro avg': {'precision': 0.451133909287257, 'recall': 0.5, 'f1-score': 0.474311666193585, 'support': 1852.0}, 'weighted avg': {'precision': 0.8140872164352121, 'recall': 0.902267818574514, 'f1-score': 0.855912304761858, 'support': 1852.0}}                                                                                      | 0.0977     | {'~D': {'precision': 0.9946004319654428, 'recall': 1.0, 'f1-score': 0.9972929074174337, 'support': 1842.0}, 'D': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 10.0}, 'accuracy': 0.9946004319654428, 'macro avg': {'precision': 0.4973002159827214, 'recall': 0.5, 'f1-score': 0.49864645370871685, 'support': 1852.0}, 'weighted avg': {'precision': 0.9892300192658454, 'recall': 0.9946004319654428, 'f1-score': 0.9919079565134519, 'support': 1852.0}}                                                           | 0.0054    | {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}                               | 0.0038     | {'~PL': {'precision': 0.9730021598272138, 'recall': 1.0, 'f1-score': 0.9863163656267104, 'support': 1802.0}, 'PL': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 50.0}, 'accuracy': 0.9730021598272138, 'macro avg': {'precision': 0.4865010799136069, 'recall': 0.5, 'f1-score': 0.4931581828133552, 'support': 1852.0}, 'weighted avg': {'precision': 0.9467332030284229, 'recall': 0.9730021598272138, 'f1-score': 0.9596879540277172, 'support': 1852.0}}                                                                | 0.0270     | {'~TI': {'precision': 0.9692224622030238, 'recall': 1.0, 'f1-score': 0.9843707156567041, 'support': 1795.0}, 'TI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 57.0}, 'accuracy': 0.9692224622030238, 'macro avg': {'precision': 0.4846112311015119, 'recall': 0.5, 'f1-score': 0.49218535782835204, 'support': 1852.0}, 'weighted avg': {'precision': 0.9393921812388919, 'recall': 0.9692224622030238, 'f1-score': 0.9540742087493432, 'support': 1852.0}}                                                                             | 0.0308     | {'~PC': {'precision': 0.9859611231101512, 'recall': 1.0, 'f1-score': 0.9929309407286568, 'support': 1826.0}, 'PC': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 26.0}, 'accuracy': 0.9859611231101512, 'macro avg': {'precision': 0.4929805615550756, 'recall': 0.5, 'f1-score': 0.4964654703643284, 'support': 1852.0}, 'weighted avg': {'precision': 0.9721193362846307, 'recall': 0.9859611231101512, 'f1-score': 0.9789913054916455, 'support': 1852.0}}                                                                                | 0.0140     | {'f1-score': 0.49329153243911095, 'hamming': 0.02605291576673866} |
+| No log        | 6.0   | 54   | 0.0821          | {'~LIN': {'precision': 0.9908207343412527, 'recall': 1.0, 'f1-score': 0.9953892053159751, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9908207343412527, 'macro avg': {'precision': 0.49541036717062636, 'recall': 0.5, 'f1-score': 0.49769460265798754, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817257276005392, 'recall': 0.9908207343412527, 'f1-score': 0.9862522633665304, 'support': 1852.0}}                                                                             | 0.0092      | {'~SI': {'precision': 0.9794816414686826, 'recall': 1.0, 'f1-score': 0.9896344789961812, 'support': 1814.0}, 'SI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.4897408207343413, 'recall': 0.5, 'f1-score': 0.4948172394980906, 'support': 1852.0}, 'weighted avg': {'precision': 0.9593842859741848, 'recall': 0.9794816414686826, 'f1-score': 0.9693288039411839, 'support': 1852.0}}                                                                              | 0.0205     | {'~CL': {'precision': 0.902267818574514, 'recall': 1.0, 'f1-score': 0.94862333238717, 'support': 1671.0}, 'CL': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 181.0}, 'accuracy': 0.902267818574514, 'macro avg': {'precision': 0.451133909287257, 'recall': 0.5, 'f1-score': 0.474311666193585, 'support': 1852.0}, 'weighted avg': {'precision': 0.8140872164352121, 'recall': 0.902267818574514, 'f1-score': 0.855912304761858, 'support': 1852.0}}                                                                                      | 0.0977     | {'~D': {'precision': 0.9946004319654428, 'recall': 1.0, 'f1-score': 0.9972929074174337, 'support': 1842.0}, 'D': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 10.0}, 'accuracy': 0.9946004319654428, 'macro avg': {'precision': 0.4973002159827214, 'recall': 0.5, 'f1-score': 0.49864645370871685, 'support': 1852.0}, 'weighted avg': {'precision': 0.9892300192658454, 'recall': 0.9946004319654428, 'f1-score': 0.9919079565134519, 'support': 1852.0}}                                                           | 0.0054    | {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}                               | 0.0038     | {'~PL': {'precision': 0.9730021598272138, 'recall': 1.0, 'f1-score': 0.9863163656267104, 'support': 1802.0}, 'PL': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 50.0}, 'accuracy': 0.9730021598272138, 'macro avg': {'precision': 0.4865010799136069, 'recall': 0.5, 'f1-score': 0.4931581828133552, 'support': 1852.0}, 'weighted avg': {'precision': 0.9467332030284229, 'recall': 0.9730021598272138, 'f1-score': 0.9596879540277172, 'support': 1852.0}}                                                                | 0.0270     | {'~TI': {'precision': 0.9692224622030238, 'recall': 1.0, 'f1-score': 0.9843707156567041, 'support': 1795.0}, 'TI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 57.0}, 'accuracy': 0.9692224622030238, 'macro avg': {'precision': 0.4846112311015119, 'recall': 0.5, 'f1-score': 0.49218535782835204, 'support': 1852.0}, 'weighted avg': {'precision': 0.9393921812388919, 'recall': 0.9692224622030238, 'f1-score': 0.9540742087493432, 'support': 1852.0}}                                                                             | 0.0308     | {'~PC': {'precision': 0.9859611231101512, 'recall': 1.0, 'f1-score': 0.9929309407286568, 'support': 1826.0}, 'PC': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 26.0}, 'accuracy': 0.9859611231101512, 'macro avg': {'precision': 0.4929805615550756, 'recall': 0.5, 'f1-score': 0.4964654703643284, 'support': 1852.0}, 'weighted avg': {'precision': 0.9721193362846307, 'recall': 0.9859611231101512, 'f1-score': 0.9789913054916455, 'support': 1852.0}}                                                                                | 0.0140     | {'f1-score': 0.49329153243911095, 'hamming': 0.02605291576673866} |
+| No log        | 7.0   | 63   | 0.0756          | {'~LIN': {'precision': 0.9908207343412527, 'recall': 1.0, 'f1-score': 0.9953892053159751, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9908207343412527, 'macro avg': {'precision': 0.49541036717062636, 'recall': 0.5, 'f1-score': 0.49769460265798754, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817257276005392, 'recall': 0.9908207343412527, 'f1-score': 0.9862522633665304, 'support': 1852.0}}                                                                             | 0.0092      | {'~SI': {'precision': 0.9794816414686826, 'recall': 1.0, 'f1-score': 0.9896344789961812, 'support': 1814.0}, 'SI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.4897408207343413, 'recall': 0.5, 'f1-score': 0.4948172394980906, 'support': 1852.0}, 'weighted avg': {'precision': 0.9593842859741848, 'recall': 0.9794816414686826, 'f1-score': 0.9693288039411839, 'support': 1852.0}}                                                                              | 0.0205     | {'~CL': {'precision': 0.9398069278818852, 'recall': 0.990424895272292, 'f1-score': 0.9644522144522144, 'support': 1671.0}, 'CL': {'precision': 0.8241758241758241, 'recall': 0.4143646408839779, 'f1-score': 0.5514705882352942, 'support': 181.0}, 'accuracy': 0.9341252699784017, 'macro avg': {'precision': 0.8819913760288547, 'recall': 0.702394768078135, 'f1-score': 0.7579614013437543, 'support': 1852.0}, 'weighted avg': {'precision': 0.9285060478760553, 'recall': 0.9341252699784017, 'f1-score': 0.9240906192333902, 'support': 1852.0}}     | 0.0659     | {'~D': {'precision': 0.9946004319654428, 'recall': 1.0, 'f1-score': 0.9972929074174337, 'support': 1842.0}, 'D': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 10.0}, 'accuracy': 0.9946004319654428, 'macro avg': {'precision': 0.4973002159827214, 'recall': 0.5, 'f1-score': 0.49864645370871685, 'support': 1852.0}, 'weighted avg': {'precision': 0.9892300192658454, 'recall': 0.9946004319654428, 'f1-score': 0.9919079565134519, 'support': 1852.0}}                                                           | 0.0054    | {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}                               | 0.0038     | {'~PL': {'precision': 0.9730021598272138, 'recall': 1.0, 'f1-score': 0.9863163656267104, 'support': 1802.0}, 'PL': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 50.0}, 'accuracy': 0.9730021598272138, 'macro avg': {'precision': 0.4865010799136069, 'recall': 0.5, 'f1-score': 0.4931581828133552, 'support': 1852.0}, 'weighted avg': {'precision': 0.9467332030284229, 'recall': 0.9730021598272138, 'f1-score': 0.9596879540277172, 'support': 1852.0}}                                                                | 0.0270     | {'~TI': {'precision': 0.9697460831982712, 'recall': 1.0, 'f1-score': 0.9846407021393307, 'support': 1795.0}, 'TI': {'precision': 1.0, 'recall': 0.017543859649122806, 'f1-score': 0.034482758620689655, 'support': 57.0}, 'accuracy': 0.9697624190064795, 'macro avg': {'precision': 0.9848730415991356, 'recall': 0.5087719298245614, 'f1-score': 0.5095617303800102, 'support': 1852.0}, 'weighted avg': {'precision': 0.970677224266143, 'recall': 0.9697624190064795, 'f1-score': 0.9553971801195885, 'support': 1852.0}}                              | 0.0302     | {'~PC': {'precision': 0.9859611231101512, 'recall': 1.0, 'f1-score': 0.9929309407286568, 'support': 1826.0}, 'PC': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 26.0}, 'accuracy': 0.9859611231101512, 'macro avg': {'precision': 0.4929805615550756, 'recall': 0.5, 'f1-score': 0.4964654703643284, 'support': 1852.0}, 'weighted avg': {'precision': 0.9721193362846307, 'recall': 0.9859611231101512, 'f1-score': 0.9789913054916455, 'support': 1852.0}}                                                                                | 0.0140     | {'f1-score': 0.5309197959018394, 'hamming': 0.022003239740820735} |
+| No log        | 8.0   | 72   | 0.0729          | {'~LIN': {'precision': 0.9908207343412527, 'recall': 1.0, 'f1-score': 0.9953892053159751, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9908207343412527, 'macro avg': {'precision': 0.49541036717062636, 'recall': 0.5, 'f1-score': 0.49769460265798754, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817257276005392, 'recall': 0.9908207343412527, 'f1-score': 0.9862522633665304, 'support': 1852.0}}                                                                             | 0.0092      | {'~SI': {'precision': 0.9794816414686826, 'recall': 1.0, 'f1-score': 0.9896344789961812, 'support': 1814.0}, 'SI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.4897408207343413, 'recall': 0.5, 'f1-score': 0.4948172394980906, 'support': 1852.0}, 'weighted avg': {'precision': 0.9593842859741848, 'recall': 0.9794816414686826, 'f1-score': 0.9693288039411839, 'support': 1852.0}}                                                                              | 0.0205     | {'~CL': {'precision': 0.9211252068394925, 'recall': 0.9994015559545183, 'f1-score': 0.9586681974741676, 'support': 1671.0}, 'CL': {'precision': 0.9743589743589743, 'recall': 0.20994475138121546, 'f1-score': 0.34545454545454546, 'support': 181.0}, 'accuracy': 0.9222462203023758, 'macro avg': {'precision': 0.9477420905992334, 'recall': 0.6046731536678669, 'f1-score': 0.6520613714643566, 'support': 1852.0}, 'weighted avg': {'precision': 0.9263278590646687, 'recall': 0.9222462203023758, 'f1-score': 0.8987374895824011, 'support': 1852.0}} | 0.0778     | {'~D': {'precision': 0.9946004319654428, 'recall': 1.0, 'f1-score': 0.9972929074174337, 'support': 1842.0}, 'D': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 10.0}, 'accuracy': 0.9946004319654428, 'macro avg': {'precision': 0.4973002159827214, 'recall': 0.5, 'f1-score': 0.49864645370871685, 'support': 1852.0}, 'weighted avg': {'precision': 0.9892300192658454, 'recall': 0.9946004319654428, 'f1-score': 0.9919079565134519, 'support': 1852.0}}                                                           | 0.0054    | {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}                               | 0.0038     | {'~PL': {'precision': 0.9730021598272138, 'recall': 1.0, 'f1-score': 0.9863163656267104, 'support': 1802.0}, 'PL': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 50.0}, 'accuracy': 0.9730021598272138, 'macro avg': {'precision': 0.4865010799136069, 'recall': 0.5, 'f1-score': 0.4931581828133552, 'support': 1852.0}, 'weighted avg': {'precision': 0.9467332030284229, 'recall': 0.9730021598272138, 'f1-score': 0.9596879540277172, 'support': 1852.0}}                                                                | 0.0270     | {'~TI': {'precision': 0.9702702702702702, 'recall': 1.0, 'f1-score': 0.9849108367626886, 'support': 1795.0}, 'TI': {'precision': 1.0, 'recall': 0.03508771929824561, 'f1-score': 0.06779661016949153, 'support': 57.0}, 'accuracy': 0.9703023758099352, 'macro avg': {'precision': 0.9851351351351352, 'recall': 0.5175438596491229, 'f1-score': 0.5263537234660901, 'support': 1852.0}, 'weighted avg': {'precision': 0.9711852781507209, 'recall': 0.9703023758099352, 'f1-score': 0.956684318989572, 'support': 1852.0}}                                | 0.0297     | {'~PC': {'precision': 0.9859611231101512, 'recall': 1.0, 'f1-score': 0.9929309407286568, 'support': 1826.0}, 'PC': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 26.0}, 'accuracy': 0.9859611231101512, 'macro avg': {'precision': 0.4929805615550756, 'recall': 0.5, 'f1-score': 0.4964654703643284, 'support': 1852.0}, 'weighted avg': {'precision': 0.9721193362846307, 'recall': 0.9859611231101512, 'f1-score': 0.9789913054916455, 'support': 1852.0}}                                                                                | 0.0140     | {'f1-score': 0.5197812913026747, 'hamming': 0.023420626349892008} |
+| No log        | 9.0   | 81   | 0.0666          | {'~LIN': {'precision': 0.9908207343412527, 'recall': 1.0, 'f1-score': 0.9953892053159751, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9908207343412527, 'macro avg': {'precision': 0.49541036717062636, 'recall': 0.5, 'f1-score': 0.49769460265798754, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817257276005392, 'recall': 0.9908207343412527, 'f1-score': 0.9862522633665304, 'support': 1852.0}}                                                                             | 0.0092      | {'~SI': {'precision': 0.9794816414686826, 'recall': 1.0, 'f1-score': 0.9896344789961812, 'support': 1814.0}, 'SI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.4897408207343413, 'recall': 0.5, 'f1-score': 0.4948172394980906, 'support': 1852.0}, 'weighted avg': {'precision': 0.9593842859741848, 'recall': 0.9794816414686826, 'f1-score': 0.9693288039411839, 'support': 1852.0}}                                                                              | 0.0205     | {'~CL': {'precision': 0.9627906976744186, 'recall': 0.9910233393177738, 'f1-score': 0.976703037452079, 'support': 1671.0}, 'CL': {'precision': 0.8863636363636364, 'recall': 0.6464088397790055, 'f1-score': 0.7476038338658147, 'support': 181.0}, 'accuracy': 0.9573434125269978, 'macro avg': {'precision': 0.9245771670190275, 'recall': 0.8187160895483896, 'f1-score': 0.8621534356589469, 'support': 1852.0}, 'weighted avg': {'precision': 0.9553213142525765, 'recall': 0.9573434125269978, 'f1-score': 0.9543126725227518, 'support': 1852.0}}    | 0.0427     | {'~D': {'precision': 0.9946004319654428, 'recall': 1.0, 'f1-score': 0.9972929074174337, 'support': 1842.0}, 'D': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 10.0}, 'accuracy': 0.9946004319654428, 'macro avg': {'precision': 0.4973002159827214, 'recall': 0.5, 'f1-score': 0.49864645370871685, 'support': 1852.0}, 'weighted avg': {'precision': 0.9892300192658454, 'recall': 0.9946004319654428, 'f1-score': 0.9919079565134519, 'support': 1852.0}}                                                           | 0.0054    | {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}                               | 0.0038     | {'~PL': {'precision': 0.9730021598272138, 'recall': 1.0, 'f1-score': 0.9863163656267104, 'support': 1802.0}, 'PL': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 50.0}, 'accuracy': 0.9730021598272138, 'macro avg': {'precision': 0.4865010799136069, 'recall': 0.5, 'f1-score': 0.4931581828133552, 'support': 1852.0}, 'weighted avg': {'precision': 0.9467332030284229, 'recall': 0.9730021598272138, 'f1-score': 0.9596879540277172, 'support': 1852.0}}                                                                | 0.0270     | {'~TI': {'precision': 0.9702702702702702, 'recall': 1.0, 'f1-score': 0.9849108367626886, 'support': 1795.0}, 'TI': {'precision': 1.0, 'recall': 0.03508771929824561, 'f1-score': 0.06779661016949153, 'support': 57.0}, 'accuracy': 0.9703023758099352, 'macro avg': {'precision': 0.9851351351351352, 'recall': 0.5175438596491229, 'f1-score': 0.5263537234660901, 'support': 1852.0}, 'weighted avg': {'precision': 0.9711852781507209, 'recall': 0.9703023758099352, 'f1-score': 0.956684318989572, 'support': 1852.0}}                                | 0.0297     | {'~PC': {'precision': 0.9859611231101512, 'recall': 1.0, 'f1-score': 0.9929309407286568, 'support': 1826.0}, 'PC': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 26.0}, 'accuracy': 0.9859611231101512, 'macro avg': {'precision': 0.4929805615550756, 'recall': 0.5, 'f1-score': 0.4964654703643284, 'support': 1852.0}, 'weighted avg': {'precision': 0.9721193362846307, 'recall': 0.9859611231101512, 'f1-score': 0.9789913054916455, 'support': 1852.0}}                                                                                | 0.0140     | {'f1-score': 0.5460427993269984, 'hamming': 0.019033477321814256} |
+| No log        | 10.0  | 90   | 0.0629          | {'~LIN': {'precision': 0.9908207343412527, 'recall': 1.0, 'f1-score': 0.9953892053159751, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9908207343412527, 'macro avg': {'precision': 0.49541036717062636, 'recall': 0.5, 'f1-score': 0.49769460265798754, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817257276005392, 'recall': 0.9908207343412527, 'f1-score': 0.9862522633665304, 'support': 1852.0}}                                                                             | 0.0092      | {'~SI': {'precision': 0.9794816414686826, 'recall': 1.0, 'f1-score': 0.9896344789961812, 'support': 1814.0}, 'SI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.4897408207343413, 'recall': 0.5, 'f1-score': 0.4948172394980906, 'support': 1852.0}, 'weighted avg': {'precision': 0.9593842859741848, 'recall': 0.9794816414686826, 'f1-score': 0.9693288039411839, 'support': 1852.0}}                                                                              | 0.0205     | {'~CL': {'precision': 0.9689877121123464, 'recall': 0.9910233393177738, 'f1-score': 0.9798816568047337, 'support': 1671.0}, 'CL': {'precision': 0.8951048951048951, 'recall': 0.7071823204419889, 'f1-score': 0.7901234567901234, 'support': 181.0}, 'accuracy': 0.9632829373650108, 'macro avg': {'precision': 0.9320463036086207, 'recall': 0.8491028298798813, 'f1-score': 0.8850025567974286, 'support': 1852.0}, 'weighted avg': {'precision': 0.9617669832363482, 'recall': 0.9632829373650108, 'f1-score': 0.961336173973932, 'support': 1852.0}}    | 0.0367     | {'~D': {'precision': 0.9946004319654428, 'recall': 1.0, 'f1-score': 0.9972929074174337, 'support': 1842.0}, 'D': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 10.0}, 'accuracy': 0.9946004319654428, 'macro avg': {'precision': 0.4973002159827214, 'recall': 0.5, 'f1-score': 0.49864645370871685, 'support': 1852.0}, 'weighted avg': {'precision': 0.9892300192658454, 'recall': 0.9946004319654428, 'f1-score': 0.9919079565134519, 'support': 1852.0}}                                                           | 0.0054    | {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}                               | 0.0038     | {'~PL': {'precision': 0.9730021598272138, 'recall': 1.0, 'f1-score': 0.9863163656267104, 'support': 1802.0}, 'PL': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 50.0}, 'accuracy': 0.9730021598272138, 'macro avg': {'precision': 0.4865010799136069, 'recall': 0.5, 'f1-score': 0.4931581828133552, 'support': 1852.0}, 'weighted avg': {'precision': 0.9467332030284229, 'recall': 0.9730021598272138, 'f1-score': 0.9596879540277172, 'support': 1852.0}}                                                                | 0.0270     | {'~TI': {'precision': 0.9697460831982712, 'recall': 1.0, 'f1-score': 0.9846407021393307, 'support': 1795.0}, 'TI': {'precision': 1.0, 'recall': 0.017543859649122806, 'f1-score': 0.034482758620689655, 'support': 57.0}, 'accuracy': 0.9697624190064795, 'macro avg': {'precision': 0.9848730415991356, 'recall': 0.5087719298245614, 'f1-score': 0.5095617303800102, 'support': 1852.0}, 'weighted avg': {'precision': 0.970677224266143, 'recall': 0.9697624190064795, 'f1-score': 0.9553971801195885, 'support': 1852.0}}                              | 0.0302     | {'~PC': {'precision': 0.9859611231101512, 'recall': 1.0, 'f1-score': 0.9929309407286568, 'support': 1826.0}, 'PC': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 26.0}, 'accuracy': 0.9859611231101512, 'macro avg': {'precision': 0.4929805615550756, 'recall': 0.5, 'f1-score': 0.4964654703643284, 'support': 1852.0}, 'weighted avg': {'precision': 0.9721193362846307, 'recall': 0.9859611231101512, 'f1-score': 0.9789913054916455, 'support': 1852.0}}                                                                                | 0.0140     | {'f1-score': 0.5467999403335486, 'hamming': 0.0183585313174946}   |
+| No log        | 11.0  | 99   | 0.0679          | {'~LIN': {'precision': 0.9908207343412527, 'recall': 1.0, 'f1-score': 0.9953892053159751, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9908207343412527, 'macro avg': {'precision': 0.49541036717062636, 'recall': 0.5, 'f1-score': 0.49769460265798754, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817257276005392, 'recall': 0.9908207343412527, 'f1-score': 0.9862522633665304, 'support': 1852.0}}                                                                             | 0.0092      | {'~SI': {'precision': 0.9794816414686826, 'recall': 1.0, 'f1-score': 0.9896344789961812, 'support': 1814.0}, 'SI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.4897408207343413, 'recall': 0.5, 'f1-score': 0.4948172394980906, 'support': 1852.0}, 'weighted avg': {'precision': 0.9593842859741848, 'recall': 0.9794816414686826, 'f1-score': 0.9693288039411839, 'support': 1852.0}}                                                                              | 0.0205     | {'~CL': {'precision': 0.9466817923993194, 'recall': 0.9988031119090365, 'f1-score': 0.9720442632498544, 'support': 1671.0}, 'CL': {'precision': 0.9775280898876404, 'recall': 0.48066298342541436, 'f1-score': 0.6444444444444445, 'support': 181.0}, 'accuracy': 0.9481641468682506, 'macro avg': {'precision': 0.9621049411434799, 'recall': 0.7397330476672255, 'f1-score': 0.8082443538471494, 'support': 1852.0}, 'weighted avg': {'precision': 0.9496964683417526, 'recall': 0.9481641468682506, 'f1-score': 0.9400272183234077, 'support': 1852.0}}  | 0.0518     | {'~D': {'precision': 0.9946004319654428, 'recall': 1.0, 'f1-score': 0.9972929074174337, 'support': 1842.0}, 'D': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 10.0}, 'accuracy': 0.9946004319654428, 'macro avg': {'precision': 0.4973002159827214, 'recall': 0.5, 'f1-score': 0.49864645370871685, 'support': 1852.0}, 'weighted avg': {'precision': 0.9892300192658454, 'recall': 0.9946004319654428, 'f1-score': 0.9919079565134519, 'support': 1852.0}}                                                           | 0.0054    | {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}                               | 0.0038     | {'~PL': {'precision': 0.9735135135135136, 'recall': 0.9994450610432852, 'f1-score': 0.9863088718510405, 'support': 1802.0}, 'PL': {'precision': 0.5, 'recall': 0.02, 'f1-score': 0.038461538461538464, 'support': 50.0}, 'accuracy': 0.9730021598272138, 'macro avg': {'precision': 0.7367567567567568, 'recall': 0.5097225305216426, 'f1-score': 0.5123852051562895, 'support': 1852.0}, 'weighted avg': {'precision': 0.9607296713560214, 'recall': 0.9730021598272138, 'f1-score': 0.9607190410359893, 'support': 1852.0}}                | 0.0270     | {'~TI': {'precision': 0.9697460831982712, 'recall': 1.0, 'f1-score': 0.9846407021393307, 'support': 1795.0}, 'TI': {'precision': 1.0, 'recall': 0.017543859649122806, 'f1-score': 0.034482758620689655, 'support': 57.0}, 'accuracy': 0.9697624190064795, 'macro avg': {'precision': 0.9848730415991356, 'recall': 0.5087719298245614, 'f1-score': 0.5095617303800102, 'support': 1852.0}, 'weighted avg': {'precision': 0.970677224266143, 'recall': 0.9697624190064795, 'f1-score': 0.9553971801195885, 'support': 1852.0}}                              | 0.0302     | {'~PC': {'precision': 0.9859611231101512, 'recall': 1.0, 'f1-score': 0.9929309407286568, 'support': 1826.0}, 'PC': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 26.0}, 'accuracy': 0.9859611231101512, 'macro avg': {'precision': 0.4929805615550756, 'recall': 0.5, 'f1-score': 0.4964654703643284, 'support': 1852.0}, 'weighted avg': {'precision': 0.9721193362846307, 'recall': 0.9859611231101512, 'f1-score': 0.9789913054916455, 'support': 1852.0}}                                                                                | 0.0140     | {'f1-score': 0.5396085427576305, 'hamming': 0.020248380129589634} |
+| No log        | 12.0  | 108  | 0.0620          | {'~LIN': {'precision': 0.9908207343412527, 'recall': 1.0, 'f1-score': 0.9953892053159751, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9908207343412527, 'macro avg': {'precision': 0.49541036717062636, 'recall': 0.5, 'f1-score': 0.49769460265798754, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817257276005392, 'recall': 0.9908207343412527, 'f1-score': 0.9862522633665304, 'support': 1852.0}}                                                                             | 0.0092      | {'~SI': {'precision': 0.9794705564559697, 'recall': 0.9994487320837927, 'f1-score': 0.9893587994542974, 'support': 1814.0}, 'SI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 38.0}, 'accuracy': 0.9789416846652268, 'macro avg': {'precision': 0.48973527822798485, 'recall': 0.49972436604189635, 'f1-score': 0.4946793997271487, 'support': 1852.0}, 'weighted avg': {'precision': 0.9593734284077371, 'recall': 0.9789416846652268, 'f1-score': 0.9690587808909803, 'support': 1852.0}}                                              | 0.0211     | {'~CL': {'precision': 0.9781065088757397, 'recall': 0.9892280071813285, 'f1-score': 0.9836358226718238, 'support': 1671.0}, 'CL': {'precision': 0.8888888888888888, 'recall': 0.7955801104972375, 'f1-score': 0.8396501457725948, 'support': 181.0}, 'accuracy': 0.9703023758099352, 'macro avg': {'precision': 0.9334976988823143, 'recall': 0.892404058839283, 'f1-score': 0.9116429842222094, 'support': 1852.0}, 'weighted avg': {'precision': 0.9693870762528347, 'recall': 0.9703023758099352, 'f1-score': 0.969563788374437, 'support': 1852.0}}     | 0.0297     | {'~D': {'precision': 0.997289972899729, 'recall': 0.998914223669924, 'f1-score': 0.9981014374830486, 'support': 1842.0}, 'D': {'precision': 0.7142857142857143, 'recall': 0.5, 'f1-score': 0.5882352941176471, 'support': 10.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.8557878435927216, 'recall': 0.749457111834962, 'f1-score': 0.7931683658003479, 'support': 1852.0}, 'weighted avg': {'precision': 0.9957618721512732, 'recall': 0.9962203023758099, 'f1-score': 0.9958883373568855, 'support': 1852.0}}   | 0.0038    | {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}                               | 0.0038     | {'~PL': {'precision': 0.977863862755949, 'recall': 0.9805771365149833, 'f1-score': 0.9792186201163757, 'support': 1802.0}, 'PL': {'precision': 0.2222222222222222, 'recall': 0.2, 'f1-score': 0.21052631578947367, 'support': 50.0}, 'accuracy': 0.9595032397408207, 'macro avg': {'precision': 0.6000430424890857, 'recall': 0.5902885682574917, 'f1-score': 0.5948724679529247, 'support': 1852.0}, 'weighted avg': {'precision': 0.9574631705169175, 'recall': 0.9595032397408207, 'f1-score': 0.9584655881421074, 'support': 1852.0}}    | 0.0405     | {'~TI': {'precision': 0.973741794310722, 'recall': 0.9916434540389972, 'f1-score': 0.9826110957769804, 'support': 1795.0}, 'TI': {'precision': 0.375, 'recall': 0.15789473684210525, 'f1-score': 0.2222222222222222, 'support': 57.0}, 'accuracy': 0.9659827213822895, 'macro avg': {'precision': 0.674370897155361, 'recall': 0.5747690954405512, 'f1-score': 0.6024166589996013, 'support': 1852.0}, 'weighted avg': {'precision': 0.9553139961056945, 'recall': 0.9659827213822895, 'f1-score': 0.9592081984807486, 'support': 1852.0}}                 | 0.0340     | {'~PC': {'precision': 0.9859535386277688, 'recall': 0.9994523548740416, 'f1-score': 0.9926570573837368, 'support': 1826.0}, 'PC': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 26.0}, 'accuracy': 0.9854211663066955, 'macro avg': {'precision': 0.4929767693138844, 'recall': 0.4997261774370208, 'f1-score': 0.4963285286918684, 'support': 1852.0}, 'weighted avg': {'precision': 0.9721118582798628, 'recall': 0.9854211663066955, 'f1-score': 0.9787212671612869, 'support': 1852.0}}                                                  | 0.0146     | {'f1-score': 0.6112320368125699, 'hamming': 0.01957343412526998}  |
+| No log        | 13.0  | 117  | 0.0602          | {'~LIN': {'precision': 0.9908207343412527, 'recall': 1.0, 'f1-score': 0.9953892053159751, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9908207343412527, 'macro avg': {'precision': 0.49541036717062636, 'recall': 0.5, 'f1-score': 0.49769460265798754, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817257276005392, 'recall': 0.9908207343412527, 'f1-score': 0.9862522633665304, 'support': 1852.0}}                                                                             | 0.0092      | {'~SI': {'precision': 0.9805405405405405, 'recall': 1.0, 'f1-score': 0.990174672489083, 'support': 1814.0}, 'SI': {'precision': 1.0, 'recall': 0.05263157894736842, 'f1-score': 0.1, 'support': 38.0}, 'accuracy': 0.980561555075594, 'macro avg': {'precision': 0.9902702702702703, 'recall': 0.5263157894736842, 'f1-score': 0.5450873362445415, 'support': 1852.0}, 'weighted avg': {'precision': 0.9809398167065554, 'recall': 0.980561555075594, 'f1-score': 0.9719097494034538, 'support': 1852.0}}                                                  | 0.0194     | {'~CL': {'precision': 0.9752941176470589, 'recall': 0.9922202274087373, 'f1-score': 0.9836843666567784, 'support': 1671.0}, 'CL': {'precision': 0.9144736842105263, 'recall': 0.7679558011049724, 'f1-score': 0.8348348348348348, 'support': 181.0}, 'accuracy': 0.9703023758099352, 'macro avg': {'precision': 0.9448839009287926, 'recall': 0.8800880142568548, 'f1-score': 0.9092596007458066, 'support': 1852.0}, 'weighted avg': {'precision': 0.969350004012063, 'recall': 0.9703023758099352, 'f1-score': 0.9691369772076576, 'support': 1852.0}}    | 0.0297     | {'~D': {'precision': 0.9989148128052089, 'recall': 0.999457111834962, 'f1-score': 0.9991858887381275, 'support': 1842.0}, 'D': {'precision': 0.8888888888888888, 'recall': 0.8, 'f1-score': 0.8421052631578947, 'support': 10.0}, 'accuracy': 0.9983801295896328, 'macro avg': {'precision': 0.9439018508470489, 'recall': 0.899728555917481, 'f1-score': 0.9206455759480111, 'support': 1852.0}, 'weighted avg': {'precision': 0.9983207203434578, 'recall': 0.9983801295896328, 'f1-score': 0.9983377212133963, 'support': 1852.0}}  | 0.0016    | {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}                               | 0.0038     | {'~PL': {'precision': 0.9784768211920529, 'recall': 0.983906770255272, 'f1-score': 0.9811842833425567, 'support': 1802.0}, 'PL': {'precision': 0.275, 'recall': 0.22, 'f1-score': 0.24444444444444444, 'support': 50.0}, 'accuracy': 0.9632829373650108, 'macro avg': {'precision': 0.6267384105960265, 'recall': 0.601953385127636, 'f1-score': 0.6128143638935005, 'support': 1852.0}, 'weighted avg': {'precision': 0.9594844664082501, 'recall': 0.9632829373650108, 'f1-score': 0.9612938989230613, 'support': 1852.0}}                 | 0.0367     | {'~TI': {'precision': 0.9728555917480999, 'recall': 0.9983286908077994, 'f1-score': 0.9854275501787187, 'support': 1795.0}, 'TI': {'precision': 0.7, 'recall': 0.12280701754385964, 'f1-score': 0.208955223880597, 'support': 57.0}, 'accuracy': 0.9713822894168467, 'macro avg': {'precision': 0.8364277958740499, 'recall': 0.5605678541758295, 'f1-score': 0.5971913870296579, 'support': 1852.0}, 'weighted avg': {'precision': 0.9644577684599565, 'recall': 0.9713822894168467, 'f1-score': 0.9615296438077723, 'support': 1852.0}}                  | 0.0286     | {'~PC': {'precision': 0.985945945945946, 'recall': 0.9989047097480832, 'f1-score': 0.9923830250272034, 'support': 1826.0}, 'PC': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 26.0}, 'accuracy': 0.9848812095032398, 'macro avg': {'precision': 0.492972972972973, 'recall': 0.4994523548740416, 'f1-score': 0.4961915125136017, 'support': 1852.0}, 'weighted avg': {'precision': 0.9721043721907653, 'recall': 0.9848812095032398, 'f1-score': 0.9784510819112708, 'support': 1852.0}}                                                    | 0.0151     | {'f1-score': 0.6347422081851973, 'hamming': 0.01802105831533477}  |
+| No log        | 14.0  | 126  | 0.0664          | {'~LIN': {'precision': 0.9908207343412527, 'recall': 1.0, 'f1-score': 0.9953892053159751, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9908207343412527, 'macro avg': {'precision': 0.49541036717062636, 'recall': 0.5, 'f1-score': 0.49769460265798754, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817257276005392, 'recall': 0.9908207343412527, 'f1-score': 0.9862522633665304, 'support': 1852.0}}                                                                             | 0.0092      | {'~SI': {'precision': 0.9794816414686826, 'recall': 1.0, 'f1-score': 0.9896344789961812, 'support': 1814.0}, 'SI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.4897408207343413, 'recall': 0.5, 'f1-score': 0.4948172394980906, 'support': 1852.0}, 'weighted avg': {'precision': 0.9593842859741848, 'recall': 0.9794816414686826, 'f1-score': 0.9693288039411839, 'support': 1852.0}}                                                                              | 0.0205     | {'~CL': {'precision': 0.9668989547038328, 'recall': 0.9964093357271095, 'f1-score': 0.9814323607427056, 'support': 1671.0}, 'CL': {'precision': 0.9538461538461539, 'recall': 0.6850828729281768, 'f1-score': 0.797427652733119, 'support': 181.0}, 'accuracy': 0.9659827213822895, 'macro avg': {'precision': 0.9603725542749934, 'recall': 0.8407461043276432, 'f1-score': 0.8894300067379123, 'support': 1852.0}, 'weighted avg': {'precision': 0.9656232760022994, 'recall': 0.9659827213822895, 'f1-score': 0.9634491792363691, 'support': 1852.0}}    | 0.0340     | {'~D': {'precision': 0.9983731019522777, 'recall': 0.999457111834962, 'f1-score': 0.9989148128052089, 'support': 1842.0}, 'D': {'precision': 0.875, 'recall': 0.7, 'f1-score': 0.7777777777777778, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9366865509761388, 'recall': 0.849728555917481, 'f1-score': 0.8883462952914933, 'support': 1852.0}, 'weighted avg': {'precision': 0.997706940494652, 'recall': 0.9978401727861771, 'f1-score': 0.9977207683396181, 'support': 1852.0}}                | 0.0022    | {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}                               | 0.0038     | {'~PL': {'precision': 0.978021978021978, 'recall': 0.9877913429522752, 'f1-score': 0.9828823854224186, 'support': 1802.0}, 'PL': {'precision': 0.3125, 'recall': 0.2, 'f1-score': 0.24390243902439024, 'support': 50.0}, 'accuracy': 0.9665226781857451, 'macro avg': {'precision': 0.645260989010989, 'recall': 0.5938956714761376, 'f1-score': 0.6133924122234045, 'support': 1852.0}, 'weighted avg': {'precision': 0.9600543220278641, 'recall': 0.9665226781857451, 'f1-score': 0.9629315229386705, 'support': 1852.0}}                 | 0.0335     | {'~TI': {'precision': 0.9692224622030238, 'recall': 1.0, 'f1-score': 0.9843707156567041, 'support': 1795.0}, 'TI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 57.0}, 'accuracy': 0.9692224622030238, 'macro avg': {'precision': 0.4846112311015119, 'recall': 0.5, 'f1-score': 0.49218535782835204, 'support': 1852.0}, 'weighted avg': {'precision': 0.9393921812388919, 'recall': 0.9692224622030238, 'f1-score': 0.9540742087493432, 'support': 1852.0}}                                                                             | 0.0308     | {'~PC': {'precision': 0.9859535386277688, 'recall': 0.9994523548740416, 'f1-score': 0.9926570573837368, 'support': 1826.0}, 'PC': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 26.0}, 'accuracy': 0.9854211663066955, 'macro avg': {'precision': 0.4929767693138844, 'recall': 0.4997261774370208, 'f1-score': 0.4963285286918684, 'support': 1852.0}, 'weighted avg': {'precision': 0.9721118582798628, 'recall': 0.9854211663066955, 'f1-score': 0.9787212671612869, 'support': 1852.0}}                                                  | 0.0146     | {'f1-score': 0.6089059661721976, 'hamming': 0.0185610151187905}   |
+| No log        | 15.0  | 135  | 0.0640          | {'~LIN': {'precision': 0.9908207343412527, 'recall': 1.0, 'f1-score': 0.9953892053159751, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9908207343412527, 'macro avg': {'precision': 0.49541036717062636, 'recall': 0.5, 'f1-score': 0.49769460265798754, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817257276005392, 'recall': 0.9908207343412527, 'f1-score': 0.9862522633665304, 'support': 1852.0}}                                                                             | 0.0092      | {'~SI': {'precision': 0.9794816414686826, 'recall': 1.0, 'f1-score': 0.9896344789961812, 'support': 1814.0}, 'SI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.4897408207343413, 'recall': 0.5, 'f1-score': 0.4948172394980906, 'support': 1852.0}, 'weighted avg': {'precision': 0.9593842859741848, 'recall': 0.9794816414686826, 'f1-score': 0.9693288039411839, 'support': 1852.0}}                                                                              | 0.0205     | {'~CL': {'precision': 0.9872262773722628, 'recall': 0.9712746858168761, 'f1-score': 0.9791855203619909, 'support': 1671.0}, 'CL': {'precision': 0.7692307692307693, 'recall': 0.8839779005524862, 'f1-score': 0.8226221079691517, 'support': 181.0}, 'accuracy': 0.962742980561555, 'macro avg': {'precision': 0.878228523301516, 'recall': 0.9276262931846811, 'f1-score': 0.9009038141655713, 'support': 1852.0}, 'weighted avg': {'precision': 0.9659211008206373, 'recall': 0.962742980561555, 'f1-score': 0.9638842365374207, 'support': 1852.0}}      | 0.0373     | {'~D': {'precision': 0.9978331527627302, 'recall': 1.0, 'f1-score': 0.9989154013015185, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.6, 'f1-score': 0.75, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9989165763813651, 'recall': 0.8, 'f1-score': 0.8744577006507592, 'support': 1852.0}, 'weighted avg': {'precision': 0.9978448528018083, 'recall': 0.9978401727861771, 'f1-score': 0.9975713656573418, 'support': 1852.0}}                                                           | 0.0022    | {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}                               | 0.0038     | {'~PL': {'precision': 0.9760217983651226, 'recall': 0.9938956714761377, 'f1-score': 0.9848776464118779, 'support': 1802.0}, 'PL': {'precision': 0.35294117647058826, 'recall': 0.12, 'f1-score': 0.1791044776119403, 'support': 50.0}, 'accuracy': 0.9703023758099352, 'macro avg': {'precision': 0.6644814874178554, 'recall': 0.5569478357380688, 'f1-score': 0.5819910620119091, 'support': 1852.0}, 'weighted avg': {'precision': 0.9591999673204538, 'recall': 0.9703023758099352, 'f1-score': 0.9631235111850978, 'support': 1852.0}}  | 0.0297     | {'~TI': {'precision': 0.9716621253405995, 'recall': 0.9933147632311977, 'f1-score': 0.9823691460055096, 'support': 1795.0}, 'TI': {'precision': 0.29411764705882354, 'recall': 0.08771929824561403, 'f1-score': 0.13513513513513514, 'support': 57.0}, 'accuracy': 0.9654427645788337, 'macro avg': {'precision': 0.6328898861997115, 'recall': 0.5405170307384058, 'f1-score': 0.5587521405703224, 'support': 1852.0}, 'weighted avg': {'precision': 0.9508089745511495, 'recall': 0.9654427645788337, 'f1-score': 0.956293369213063, 'support': 1852.0}} | 0.0346     | {'~PC': {'precision': 0.9859383450513791, 'recall': 0.9983570646221248, 'f1-score': 0.992108843537415, 'support': 1826.0}, 'PC': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.49296917252568956, 'recall': 0.4991785323110624, 'f1-score': 0.4960544217687075, 'support': 1852.0}, 'weighted avg': {'precision': 0.9720968780042215, 'recall': 0.984341252699784, 'f1-score': 0.9781807496216629, 'support': 1852.0}}                                                    | 0.0157     | {'f1-score': 0.6129655334714774, 'hamming': 0.019100971922246218} |
+| No log        | 16.0  | 144  | 0.0617          | {'~LIN': {'precision': 0.9908207343412527, 'recall': 1.0, 'f1-score': 0.9953892053159751, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9908207343412527, 'macro avg': {'precision': 0.49541036717062636, 'recall': 0.5, 'f1-score': 0.49769460265798754, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817257276005392, 'recall': 0.9908207343412527, 'f1-score': 0.9862522633665304, 'support': 1852.0}}                                                                             | 0.0092      | {'~SI': {'precision': 0.9805089334055225, 'recall': 0.9983461962513782, 'f1-score': 0.9893471729035782, 'support': 1814.0}, 'SI': {'precision': 0.4, 'recall': 0.05263157894736842, 'f1-score': 0.09302325581395349, 'support': 38.0}, 'accuracy': 0.9789416846652268, 'macro avg': {'precision': 0.6902544667027612, 'recall': 0.5254888875993733, 'f1-score': 0.5411852143587659, 'support': 1852.0}, 'weighted avg': {'precision': 0.9685978429792753, 'recall': 0.9789416846652268, 'f1-score': 0.9709560774125384, 'support': 1852.0}}                | 0.0211     | {'~CL': {'precision': 0.9836956521739131, 'recall': 0.9748653500897666, 'f1-score': 0.9792605951307484, 'support': 1671.0}, 'CL': {'precision': 0.7857142857142857, 'recall': 0.850828729281768, 'f1-score': 0.8169761273209549, 'support': 181.0}, 'accuracy': 0.962742980561555, 'macro avg': {'precision': 0.8847049689440993, 'recall': 0.9128470396857673, 'f1-score': 0.8981183612258516, 'support': 1852.0}, 'weighted avg': {'precision': 0.9643465013482152, 'recall': 0.962742980561555, 'f1-score': 0.9634001800802232, 'support': 1852.0}}      | 0.0373     | {'~D': {'precision': 0.9978331527627302, 'recall': 1.0, 'f1-score': 0.9989154013015185, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.6, 'f1-score': 0.75, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9989165763813651, 'recall': 0.8, 'f1-score': 0.8744577006507592, 'support': 1852.0}, 'weighted avg': {'precision': 0.9978448528018083, 'recall': 0.9978401727861771, 'f1-score': 0.9975713656573418, 'support': 1852.0}}                                                           | 0.0022    | {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}                               | 0.0038     | {'~PL': {'precision': 0.974025974025974, 'recall': 0.9988901220865705, 'f1-score': 0.9863013698630136, 'support': 1802.0}, 'PL': {'precision': 0.5, 'recall': 0.04, 'f1-score': 0.07407407407407407, 'support': 50.0}, 'accuracy': 0.9730021598272138, 'macro avg': {'precision': 0.737012987012987, 'recall': 0.5194450610432852, 'f1-score': 0.5301877219685438, 'support': 1852.0}, 'weighted avg': {'precision': 0.9612282965414715, 'recall': 0.9730021598272138, 'f1-score': 0.9616732031300509, 'support': 1852.0}}                   | 0.0270     | {'~TI': {'precision': 0.9737704918032787, 'recall': 0.992757660167131, 'f1-score': 0.9831724137931035, 'support': 1795.0}, 'TI': {'precision': 0.4090909090909091, 'recall': 0.15789473684210525, 'f1-score': 0.22784810126582278, 'support': 57.0}, 'accuracy': 0.9670626349892009, 'macro avg': {'precision': 0.6914307004470939, 'recall': 0.5753261985046181, 'f1-score': 0.6055102575294631, 'support': 1852.0}, 'weighted avg': {'precision': 0.9563910446031679, 'recall': 0.9670626349892009, 'f1-score': 0.95992539121532, 'support': 1852.0}}    | 0.0329     | {'~PC': {'precision': 0.9858925664677157, 'recall': 0.9950711938663745, 'f1-score': 0.9904606159716544, 'support': 1826.0}, 'PC': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 26.0}, 'accuracy': 0.9811015118790497, 'macro avg': {'precision': 0.49294628323385786, 'recall': 0.4975355969331873, 'f1-score': 0.4952303079858272, 'support': 1852.0}, 'weighted avg': {'precision': 0.9720517421004583, 'recall': 0.9811015118790497, 'f1-score': 0.9765556613197844, 'support': 1852.0}}                                                 | 0.0189     | {'f1-score': 0.6176796816032089, 'hamming': 0.019033477321814256} |
+| No log        | 17.0  | 153  | 0.0621          | {'~LIN': {'precision': 0.9908207343412527, 'recall': 1.0, 'f1-score': 0.9953892053159751, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9908207343412527, 'macro avg': {'precision': 0.49541036717062636, 'recall': 0.5, 'f1-score': 0.49769460265798754, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817257276005392, 'recall': 0.9908207343412527, 'f1-score': 0.9862522633665304, 'support': 1852.0}}                                                                             | 0.0092      | {'~SI': {'precision': 0.9805300162249865, 'recall': 0.9994487320837927, 'f1-score': 0.98989898989899, 'support': 1814.0}, 'SI': {'precision': 0.6666666666666666, 'recall': 0.05263157894736842, 'f1-score': 0.0975609756097561, 'support': 38.0}, 'accuracy': 0.9800215982721382, 'macro avg': {'precision': 0.8235983414458266, 'recall': 0.5260401555155806, 'f1-score': 0.543729982754373, 'support': 1852.0}, 'weighted avg': {'precision': 0.9740900554889086, 'recall': 0.9800215982721382, 'f1-score': 0.9715896785906795, 'support': 1852.0}}     | 0.0200     | {'~CL': {'precision': 0.9844124700239808, 'recall': 0.9826451226810293, 'f1-score': 0.983528002395927, 'support': 1671.0}, 'CL': {'precision': 0.842391304347826, 'recall': 0.856353591160221, 'f1-score': 0.8493150684931506, 'support': 181.0}, 'accuracy': 0.9703023758099352, 'macro avg': {'precision': 0.9134018871859034, 'recall': 0.9194993569206251, 'f1-score': 0.9164215354445389, 'support': 1852.0}, 'weighted avg': {'precision': 0.9705324316938598, 'recall': 0.9703023758099352, 'f1-score': 0.970411079590094, 'support': 1852.0}}       | 0.0297     | {'~D': {'precision': 0.9978331527627302, 'recall': 1.0, 'f1-score': 0.9989154013015185, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.6, 'f1-score': 0.75, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9989165763813651, 'recall': 0.8, 'f1-score': 0.8744577006507592, 'support': 1852.0}, 'weighted avg': {'precision': 0.9978448528018083, 'recall': 0.9978401727861771, 'f1-score': 0.9975713656573418, 'support': 1852.0}}                                                           | 0.0022    | {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}                               | 0.0038     | {'~PL': {'precision': 0.9750812567713976, 'recall': 0.9988901220865705, 'f1-score': 0.9868421052631579, 'support': 1802.0}, 'PL': {'precision': 0.6666666666666666, 'recall': 0.08, 'f1-score': 0.14285714285714285, 'support': 50.0}, 'accuracy': 0.9740820734341252, 'macro avg': {'precision': 0.8208739617190322, 'recall': 0.5394450610432853, 'f1-score': 0.5648496240601504, 'support': 1852.0}, 'weighted avg': {'precision': 0.9667547289607946, 'recall': 0.9740820734341252, 'f1-score': 0.9640563341398852, 'support': 1852.0}}  | 0.0259     | {'~TI': {'precision': 0.9742324561403509, 'recall': 0.9899721448467966, 'f1-score': 0.9820392373583863, 'support': 1795.0}, 'TI': {'precision': 0.35714285714285715, 'recall': 0.17543859649122806, 'f1-score': 0.23529411764705882, 'support': 57.0}, 'accuracy': 0.964902807775378, 'macro avg': {'precision': 0.665687656641604, 'recall': 0.5827053706690124, 'f1-score': 0.6086666775027225, 'support': 1852.0}, 'weighted avg': {'precision': 0.9552399576830847, 'recall': 0.964902807775378, 'f1-score': 0.9590562612117634, 'support': 1852.0}}   | 0.0351     | {'~PC': {'precision': 0.9859383450513791, 'recall': 0.9983570646221248, 'f1-score': 0.992108843537415, 'support': 1826.0}, 'PC': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.49296917252568956, 'recall': 0.4991785323110624, 'f1-score': 0.4960544217687075, 'support': 1852.0}, 'weighted avg': {'precision': 0.9720968780042215, 'recall': 0.984341252699784, 'f1-score': 0.9781807496216629, 'support': 1852.0}}                                                    | 0.0157     | {'f1-score': 0.6251159789109639, 'hamming': 0.017683585313174946} |
+| No log        | 18.0  | 162  | 0.0718          | {'~LIN': {'precision': 0.990815775256618, 'recall': 0.9994550408719346, 'f1-score': 0.99511665762344, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.990280777537797, 'macro avg': {'precision': 0.495407887628309, 'recall': 0.4997275204359673, 'f1-score': 0.49755832881172, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817208140366599, 'recall': 0.990280777537797, 'f1-score': 0.9859822174616698, 'support': 1852.0}}                                                         | 0.0097      | {'~SI': {'precision': 0.9808324205914567, 'recall': 0.9873208379272327, 'f1-score': 0.984065934065934, 'support': 1814.0}, 'SI': {'precision': 0.11538461538461539, 'recall': 0.07894736842105263, 'f1-score': 0.09375, 'support': 38.0}, 'accuracy': 0.968682505399568, 'macro avg': {'precision': 0.5481085179880361, 'recall': 0.5331341031741427, 'f1-score': 0.5389079670329671, 'support': 1852.0}, 'weighted avg': {'precision': 0.963074852234081, 'recall': 0.968682505399568, 'f1-score': 0.9657981125246244, 'support': 1852.0}}                | 0.0313     | {'~CL': {'precision': 0.9832535885167464, 'recall': 0.9838420107719928, 'f1-score': 0.9835477116362549, 'support': 1671.0}, 'CL': {'precision': 0.85, 'recall': 0.8453038674033149, 'f1-score': 0.8476454293628809, 'support': 181.0}, 'accuracy': 0.9703023758099352, 'macro avg': {'precision': 0.9166267942583732, 'recall': 0.9145729390876538, 'f1-score': 0.9155965704995679, 'support': 1852.0}, 'weighted avg': {'precision': 0.9702304246282306, 'recall': 0.9703023758099352, 'f1-score': 0.9702656851289758, 'support': 1852.0}}                 | 0.0297     | {'~D': {'precision': 0.9983677910772579, 'recall': 0.996199782844734, 'f1-score': 0.9972826086956522, 'support': 1842.0}, 'D': {'precision': 0.5, 'recall': 0.7, 'f1-score': 0.5833333333333334, 'support': 10.0}, 'accuracy': 0.9946004319654428, 'macro avg': {'precision': 0.749183895538629, 'recall': 0.848099891422367, 'f1-score': 0.7903079710144928, 'support': 1852.0}, 'weighted avg': {'precision': 0.9956768202831042, 'recall': 0.9946004319654428, 'f1-score': 0.9950474614204777, 'support': 1852.0}}                  | 0.0054    | {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}                               | 0.0038     | {'~PL': {'precision': 0.9802089059923035, 'recall': 0.9894561598224195, 'f1-score': 0.9848108257387462, 'support': 1802.0}, 'PL': {'precision': 0.42424242424242425, 'recall': 0.28, 'f1-score': 0.3373493975903614, 'support': 50.0}, 'accuracy': 0.9703023758099352, 'macro avg': {'precision': 0.7022256651173638, 'recall': 0.6347280799112098, 'f1-score': 0.6610801116645538, 'support': 1852.0}, 'weighted avg': {'precision': 0.965199011776594, 'recall': 0.9703023758099352, 'f1-score': 0.9673307655835521, 'support': 1852.0}}   | 0.0297     | {'~TI': {'precision': 0.9824759751271905, 'recall': 0.9682451253481894, 'f1-score': 0.9753086419753086, 'support': 1795.0}, 'TI': {'precision': 0.3132530120481928, 'recall': 0.45614035087719296, 'f1-score': 0.37142857142857144, 'support': 57.0}, 'accuracy': 0.9524838012958964, 'macro avg': {'precision': 0.6478644935876916, 'recall': 0.7121927381126911, 'f1-score': 0.67336860670194, 'support': 1852.0}, 'weighted avg': {'precision': 0.9618789400864223, 'recall': 0.9524838012958964, 'f1-score': 0.9567227002792158, 'support': 1852.0}}   | 0.0475     | {'~PC': {'precision': 0.9858772406300923, 'recall': 0.9939759036144579, 'f1-score': 0.9899100081810744, 'support': 1826.0}, 'PC': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 26.0}, 'accuracy': 0.9800215982721382, 'macro avg': {'precision': 0.49293862031504615, 'recall': 0.49698795180722893, 'f1-score': 0.4949550040905372, 'support': 1852.0}, 'weighted avg': {'precision': 0.9720366314203825, 'recall': 0.9800215982721382, 'f1-score': 0.9760127834441911, 'support': 1852.0}}                                                | 0.0200     | {'f1-score': 0.6338534807830314, 'hamming': 0.022138228941684667} |
+| No log        | 19.0  | 171  | 0.0859          | {'~LIN': {'precision': 0.990815775256618, 'recall': 0.9994550408719346, 'f1-score': 0.99511665762344, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.990280777537797, 'macro avg': {'precision': 0.495407887628309, 'recall': 0.4997275204359673, 'f1-score': 0.49755832881172, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817208140366599, 'recall': 0.990280777537797, 'f1-score': 0.9859822174616698, 'support': 1852.0}}                                                         | 0.0097      | {'~SI': {'precision': 0.9805194805194806, 'recall': 0.9988974641675854, 'f1-score': 0.9896231567449482, 'support': 1814.0}, 'SI': {'precision': 0.5, 'recall': 0.05263157894736842, 'f1-score': 0.09523809523809523, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.7402597402597403, 'recall': 0.5257645215574769, 'f1-score': 0.5424306259915217, 'support': 1852.0}, 'weighted avg': {'precision': 0.9706600095368993, 'recall': 0.9794816414686826, 'f1-score': 0.9712718433878962, 'support': 1852.0}}                | 0.0205     | {'~CL': {'precision': 0.9833827893175074, 'recall': 0.9916217833632556, 'f1-score': 0.9874851013110846, 'support': 1671.0}, 'CL': {'precision': 0.9161676646706587, 'recall': 0.8453038674033149, 'f1-score': 0.8793103448275862, 'support': 181.0}, 'accuracy': 0.9773218142548596, 'macro avg': {'precision': 0.9497752269940831, 'recall': 0.9184628253832852, 'f1-score': 0.9333977230693353, 'support': 1852.0}, 'weighted avg': {'precision': 0.9768137085609849, 'recall': 0.9773218142548596, 'f1-score': 0.9769129463847815, 'support': 1852.0}}   | 0.0227     | {'~D': {'precision': 0.9983695652173913, 'recall': 0.99728555917481, 'f1-score': 0.997827267789245, 'support': 1842.0}, 'D': {'precision': 0.5833333333333334, 'recall': 0.7, 'f1-score': 0.6363636363636364, 'support': 10.0}, 'accuracy': 0.9956803455723542, 'macro avg': {'precision': 0.7908514492753623, 'recall': 0.848642779587405, 'f1-score': 0.8170954520764406, 'support': 1852.0}, 'weighted avg': {'precision': 0.9961285488465269, 'recall': 0.9956803455723542, 'f1-score': 0.9958755203193442, 'support': 1852.0}}    | 0.0043    | {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}                               | 0.0038     | {'~PL': {'precision': 0.9817780231916069, 'recall': 0.9866814650388457, 'f1-score': 0.9842236368668696, 'support': 1802.0}, 'PL': {'precision': 0.4146341463414634, 'recall': 0.34, 'f1-score': 0.37362637362637363, 'support': 50.0}, 'accuracy': 0.9692224622030238, 'macro avg': {'precision': 0.6982060847665351, 'recall': 0.6633407325194228, 'f1-score': 0.6789250052466216, 'support': 1852.0}, 'weighted avg': {'precision': 0.9664663634494325, 'recall': 0.9692224622030238, 'f1-score': 0.9677388295439621, 'support': 1852.0}}  | 0.0308     | {'~TI': {'precision': 0.9731800766283525, 'recall': 0.9905292479108635, 'f1-score': 0.9817780231916069, 'support': 1795.0}, 'TI': {'precision': 0.32, 'recall': 0.14035087719298245, 'f1-score': 0.1951219512195122, 'support': 57.0}, 'accuracy': 0.9643628509719222, 'macro avg': {'precision': 0.6465900383141763, 'recall': 0.5654400625519229, 'f1-score': 0.5884499872055595, 'support': 1852.0}, 'weighted avg': {'precision': 0.9530768021316915, 'recall': 0.9643628509719222, 'f1-score': 0.9575666862032649, 'support': 1852.0}}                | 0.0356     | {'~PC': {'precision': 0.985945945945946, 'recall': 0.9989047097480832, 'f1-score': 0.9923830250272034, 'support': 1826.0}, 'PC': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 26.0}, 'accuracy': 0.9848812095032398, 'macro avg': {'precision': 0.492972972972973, 'recall': 0.4994523548740416, 'f1-score': 0.4961915125136017, 'support': 1852.0}, 'weighted avg': {'precision': 0.9721043721907653, 'recall': 0.9848812095032398, 'f1-score': 0.9784510819112708, 'support': 1852.0}}                                                    | 0.0151     | {'f1-score': 0.631637740170409, 'hamming': 0.017818574514038878}  |
+| No log        | 20.0  | 180  | 0.0868          | {'~LIN': {'precision': 0.9908108108108108, 'recall': 0.9989100817438692, 'f1-score': 0.9948439620081411, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9897408207343412, 'macro avg': {'precision': 0.4954054054054054, 'recall': 0.4994550408719346, 'f1-score': 0.49742198100407053, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817158951608196, 'recall': 0.9897408207343412, 'f1-score': 0.9857120249918677, 'support': 1852.0}}                                                | 0.0103      | {'~SI': {'precision': 0.9810503519220357, 'recall': 0.9988974641675854, 'f1-score': 0.9898934717290357, 'support': 1814.0}, 'SI': {'precision': 0.6, 'recall': 0.07894736842105263, 'f1-score': 0.13953488372093023, 'support': 38.0}, 'accuracy': 0.9800215982721382, 'macro avg': {'precision': 0.7905251759610179, 'recall': 0.538922416294319, 'f1-score': 0.564714177724983, 'support': 1852.0}, 'weighted avg': {'precision': 0.9732318241828146, 'recall': 0.9800215982721382, 'f1-score': 0.9724455093401004, 'support': 1852.0}}                  | 0.0200     | {'~CL': {'precision': 0.9776470588235294, 'recall': 0.9946140035906643, 'f1-score': 0.9860575496885198, 'support': 1671.0}, 'CL': {'precision': 0.9407894736842105, 'recall': 0.7900552486187845, 'f1-score': 0.8588588588588588, 'support': 181.0}, 'accuracy': 0.974622030237581, 'macro avg': {'precision': 0.95921826625387, 'recall': 0.8923346261047245, 'f1-score': 0.9224582042736893, 'support': 1852.0}, 'weighted avg': {'precision': 0.9740448866257883, 'recall': 0.974622030237581, 'f1-score': 0.9736261441592711, 'support': 1852.0}}       | 0.0254     | {'~D': {'precision': 0.9978319783197832, 'recall': 0.999457111834962, 'f1-score': 0.9986438839164633, 'support': 1842.0}, 'D': {'precision': 0.8571428571428571, 'recall': 0.6, 'f1-score': 0.7058823529411765, 'support': 10.0}, 'accuracy': 0.9973002159827213, 'macro avg': {'precision': 0.9274874177313202, 'recall': 0.7997285559174809, 'f1-score': 0.8522631184288199, 'support': 1852.0}, 'weighted avg': {'precision': 0.9970723178382663, 'recall': 0.9973002159827213, 'f1-score': 0.9970630981120611, 'support': 1852.0}} | 0.0027    | {'~HI': {'precision': 0.9962182603997839, 'recall': 0.9994579945799458, 'f1-score': 0.9978354978354979, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9956803455723542, 'macro avg': {'precision': 0.49810913019989195, 'recall': 0.4997289972899729, 'f1-score': 0.4989177489177489, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924528566077762, 'recall': 0.9956803455723542, 'f1-score': 0.9940639813749965, 'support': 1852.0}}  | 0.0043     | {'~PL': {'precision': 0.9761388286334056, 'recall': 0.9988901220865705, 'f1-score': 0.9873834339001646, 'support': 1802.0}, 'PL': {'precision': 0.75, 'recall': 0.12, 'f1-score': 0.20689655172413793, 'support': 50.0}, 'accuracy': 0.9751619870410367, 'macro avg': {'precision': 0.8630694143167028, 'recall': 0.5594450610432853, 'f1-score': 0.5971399928121512, 'support': 1852.0}, 'weighted avg': {'precision': 0.9700335686810998, 'recall': 0.9751619870410367, 'f1-score': 0.9663119737982201, 'support': 1852.0}}                | 0.0248     | {'~TI': {'precision': 0.9717083786724701, 'recall': 0.9949860724233983, 'f1-score': 0.9832094687586017, 'support': 1795.0}, 'TI': {'precision': 0.35714285714285715, 'recall': 0.08771929824561403, 'f1-score': 0.14084507042253522, 'support': 57.0}, 'accuracy': 0.9670626349892009, 'macro avg': {'precision': 0.6644256179076636, 'recall': 0.5413526853345062, 'f1-score': 0.5620272695905685, 'support': 1852.0}, 'weighted avg': {'precision': 0.952793565104874, 'recall': 0.9670626349892009, 'f1-score': 0.9572835666499863, 'support': 1852.0}} | 0.0329     | {'~PC': {'precision': 0.985854189336235, 'recall': 0.9923329682365827, 'f1-score': 0.9890829694323144, 'support': 1826.0}, 'PC': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 26.0}, 'accuracy': 0.978401727861771, 'macro avg': {'precision': 0.4929270946681175, 'recall': 0.49616648411829134, 'f1-score': 0.4945414847161572, 'support': 1852.0}, 'weighted avg': {'precision': 0.9720139037408019, 'recall': 0.978401727861771, 'f1-score': 0.975197355390608, 'support': 1852.0}}                                                     | 0.0216     | {'f1-score': 0.6236854971835235, 'hamming': 0.017751079913606912} |
+| No log        | 21.0  | 189  | 0.1002          | {'~LIN': {'precision': 0.9908008658008658, 'recall': 0.9978201634877384, 'f1-score': 0.9942981265272876, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9886609071274298, 'macro avg': {'precision': 0.4954004329004329, 'recall': 0.4989100817438692, 'f1-score': 0.4971490632636438, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817060414387628, 'recall': 0.9886609071274298, 'f1-score': 0.9851711998798988, 'support': 1852.0}}                                                 | 0.0113      | {'~SI': {'precision': 0.9794483504597079, 'recall': 0.9983461962513782, 'f1-score': 0.9888069888069888, 'support': 1814.0}, 'SI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 38.0}, 'accuracy': 0.9778617710583153, 'macro avg': {'precision': 0.48972417522985395, 'recall': 0.4991730981256891, 'f1-score': 0.4944034944034944, 'support': 1852.0}, 'weighted avg': {'precision': 0.9593516780420681, 'recall': 0.9778617710583153, 'f1-score': 0.9685182924923745, 'support': 1852.0}}                                               | 0.0221     | {'~CL': {'precision': 0.9736995908825249, 'recall': 0.9970077797725913, 'f1-score': 0.9852158486102898, 'support': 1671.0}, 'CL': {'precision': 0.9645390070921985, 'recall': 0.7513812154696132, 'f1-score': 0.84472049689441, 'support': 181.0}, 'accuracy': 0.9730021598272138, 'macro avg': {'precision': 0.9691192989873617, 'recall': 0.8741944976211022, 'f1-score': 0.9149681727523499, 'support': 1852.0}, 'weighted avg': {'precision': 0.9728043070455653, 'recall': 0.9730021598272138, 'f1-score': 0.9714849314069559, 'support': 1852.0}}     | 0.0270     | {'~D': {'precision': 0.9983722192078134, 'recall': 0.998914223669924, 'f1-score': 0.9986431478968792, 'support': 1842.0}, 'D': {'precision': 0.7777777777777778, 'recall': 0.7, 'f1-score': 0.7368421052631579, 'support': 10.0}, 'accuracy': 0.9973002159827213, 'macro avg': {'precision': 0.8880749984927956, 'recall': 0.849457111834962, 'f1-score': 0.8677426265800186, 'support': 1852.0}, 'weighted avg': {'precision': 0.9971811045132668, 'recall': 0.9973002159827213, 'f1-score': 0.9972295353556605, 'support': 1852.0}}  | 0.0027    | {'~HI': {'precision': 0.9962162162162163, 'recall': 0.9989159891598915, 'f1-score': 0.9975642760487144, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9951403887688985, 'macro avg': {'precision': 0.4981081081081081, 'recall': 0.4994579945799458, 'f1-score': 0.4987821380243572, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924508201506043, 'recall': 0.9951403887688985, 'f1-score': 0.9937937847245563, 'support': 1852.0}}   | 0.0049     | {'~PL': {'precision': 0.9797814207650273, 'recall': 0.9950055493895672, 'f1-score': 0.9873348017621145, 'support': 1802.0}, 'PL': {'precision': 0.5909090909090909, 'recall': 0.26, 'f1-score': 0.3611111111111111, 'support': 50.0}, 'accuracy': 0.9751619870410367, 'macro avg': {'precision': 0.785345255837059, 'recall': 0.6275027746947837, 'f1-score': 0.6742229564366128, 'support': 1852.0}, 'weighted avg': {'precision': 0.9692827077559576, 'recall': 0.9751619870410367, 'f1-score': 0.9704281146495065, 'support': 1852.0}}    | 0.0248     | {'~TI': {'precision': 0.9716929776810016, 'recall': 0.9944289693593314, 'f1-score': 0.9829295154185022, 'support': 1795.0}, 'TI': {'precision': 0.3333333333333333, 'recall': 0.08771929824561403, 'f1-score': 0.1388888888888889, 'support': 57.0}, 'accuracy': 0.9665226781857451, 'macro avg': {'precision': 0.6525131555071675, 'recall': 0.5410741338024727, 'f1-score': 0.5609092021536956, 'support': 1852.0}, 'weighted avg': {'precision': 0.9520458395990269, 'recall': 0.9665226781857451, 'f1-score': 0.9569520231333035, 'support': 1852.0}}  | 0.0335     | {'~PC': {'precision': 0.9863685932388222, 'recall': 0.9906900328587076, 'f1-score': 0.9885245901639345, 'support': 1826.0}, 'PC': {'precision': 0.05555555555555555, 'recall': 0.038461538461538464, 'f1-score': 0.045454545454545456, 'support': 26.0}, 'accuracy': 0.9773218142548596, 'macro avg': {'precision': 0.5209620743971889, 'recall': 0.5145757856601231, 'f1-score': 0.51698956780924, 'support': 1852.0}, 'weighted avg': {'precision': 0.9733010235953206, 'recall': 0.9773218142548596, 'f1-score': 0.9752849459077552, 'support': 1852.0}}  | 0.0227     | {'f1-score': 0.6281459026779266, 'hamming': 0.01862850971922246}  |
+| No log        | 22.0  | 198  | 0.1006          | {'~LIN': {'precision': 0.990770901194354, 'recall': 0.9945504087193461, 'f1-score': 0.9926570573837368, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9854211663066955, 'macro avg': {'precision': 0.495385450597177, 'recall': 0.49727520435967304, 'f1-score': 0.4963285286918684, 'support': 1852.0}, 'weighted avg': {'precision': 0.9816763518853345, 'recall': 0.9854211663066955, 'f1-score': 0.9835451945459811, 'support': 1852.0}}                                                  | 0.0146      | {'~SI': {'precision': 0.9815618221258134, 'recall': 0.9977949283351709, 'f1-score': 0.9896118097320941, 'support': 1814.0}, 'SI': {'precision': 0.5, 'recall': 0.10526315789473684, 'f1-score': 0.17391304347826086, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.7407809110629067, 'recall': 0.5515290431149539, 'f1-score': 0.5817624266051775, 'support': 1852.0}, 'weighted avg': {'precision': 0.9716809640044414, 'recall': 0.9794816414686826, 'f1-score': 0.9728750099925446, 'support': 1852.0}}                | 0.0205     | {'~CL': {'precision': 0.9793632075471698, 'recall': 0.9940155595451825, 'f1-score': 0.9866349866349866, 'support': 1671.0}, 'CL': {'precision': 0.9358974358974359, 'recall': 0.8066298342541437, 'f1-score': 0.8664688427299704, 'support': 181.0}, 'accuracy': 0.9757019438444925, 'macro avg': {'precision': 0.9576303217223028, 'recall': 0.9003226968996632, 'f1-score': 0.9265519146824786, 'support': 1852.0}, 'weighted avg': {'precision': 0.9751152028664992, 'recall': 0.9757019438444925, 'f1-score': 0.9748908872576606, 'support': 1852.0}}   | 0.0243     | {'~D': {'precision': 0.9983722192078134, 'recall': 0.998914223669924, 'f1-score': 0.9986431478968792, 'support': 1842.0}, 'D': {'precision': 0.7777777777777778, 'recall': 0.7, 'f1-score': 0.7368421052631579, 'support': 10.0}, 'accuracy': 0.9973002159827213, 'macro avg': {'precision': 0.8880749984927956, 'recall': 0.849457111834962, 'f1-score': 0.8677426265800186, 'support': 1852.0}, 'weighted avg': {'precision': 0.9971811045132668, 'recall': 0.9973002159827213, 'f1-score': 0.9972295353556605, 'support': 1852.0}}  | 0.0027    | {'~HI': {'precision': 0.9962100703844071, 'recall': 0.997289972899729, 'f1-score': 0.9967497291440953, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9935205183585313, 'macro avg': {'precision': 0.49810503519220356, 'recall': 0.4986449864498645, 'f1-score': 0.49837486457204766, 'support': 1852.0}, 'weighted avg': {'precision': 0.992444697548181, 'recall': 0.9935205183585313, 'f1-score': 0.9929823165609373, 'support': 1852.0}}   | 0.0065     | {'~PL': {'precision': 0.9797149122807017, 'recall': 0.9916759156492786, 'f1-score': 0.9856591285162714, 'support': 1802.0}, 'PL': {'precision': 0.4642857142857143, 'recall': 0.26, 'f1-score': 0.3333333333333333, 'support': 50.0}, 'accuracy': 0.9719222462203023, 'macro avg': {'precision': 0.722000313283208, 'recall': 0.6258379578246394, 'f1-score': 0.6594962309248024, 'support': 1852.0}, 'weighted avg': {'precision': 0.9657994371728457, 'recall': 0.9719222462203023, 'f1-score': 0.9680477409573368, 'support': 1852.0}}    | 0.0281     | {'~TI': {'precision': 0.9742465753424657, 'recall': 0.9905292479108635, 'f1-score': 0.9823204419889503, 'support': 1795.0}, 'TI': {'precision': 0.37037037037037035, 'recall': 0.17543859649122806, 'f1-score': 0.23809523809523808, 'support': 57.0}, 'accuracy': 0.9654427645788337, 'macro avg': {'precision': 0.672308472856418, 'recall': 0.5829839222010458, 'f1-score': 0.6102078400420942, 'support': 1852.0}, 'weighted avg': {'precision': 0.9556607526192424, 'recall': 0.9654427645788337, 'f1-score': 0.9594150226466494, 'support': 1852.0}} | 0.0346     | {'~PC': {'precision': 0.9863908546543277, 'recall': 0.9923329682365827, 'f1-score': 0.9893529893529893, 'support': 1826.0}, 'PC': {'precision': 0.06666666666666667, 'recall': 0.038461538461538464, 'f1-score': 0.04878048780487805, 'support': 26.0}, 'accuracy': 0.9789416846652268, 'macro avg': {'precision': 0.5265287606604973, 'recall': 0.5153972533490606, 'f1-score': 0.5190667385789337, 'support': 1852.0}, 'weighted avg': {'precision': 0.9734789600065528, 'recall': 0.9789416846652268, 'f1-score': 0.9761484077977782, 'support': 1852.0}} | 0.0211     | {'f1-score': 0.6449413963346776, 'hamming': 0.019033477321814256} |
+| No log        | 23.0  | 207  | 0.1014          | {'~LIN': {'precision': 0.9907908992416035, 'recall': 0.9967302452316076, 'f1-score': 0.9937516979081771, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9875809935205183, 'macro avg': {'precision': 0.49539544962080173, 'recall': 0.4983651226158038, 'f1-score': 0.49687584895408854, 'support': 1852.0}, 'weighted avg': {'precision': 0.9816961663651957, 'recall': 0.9875809935205183, 'f1-score': 0.9846297870742468, 'support': 1852.0}}                                               | 0.0124      | {'~SI': {'precision': 0.9829670329670329, 'recall': 0.9862183020948181, 'f1-score': 0.9845899834892681, 'support': 1814.0}, 'SI': {'precision': 0.21875, 'recall': 0.18421052631578946, 'f1-score': 0.2, 'support': 38.0}, 'accuracy': 0.9697624190064795, 'macro avg': {'precision': 0.6008585164835165, 'recall': 0.5852144142053037, 'f1-score': 0.5922949917446341, 'support': 1852.0}, 'weighted avg': {'precision': 0.9672865538888756, 'recall': 0.9697624190064795, 'f1-score': 0.9684914849079548, 'support': 1852.0}}                            | 0.0302     | {'~CL': {'precision': 0.9839189994044074, 'recall': 0.9886295631358468, 'f1-score': 0.986268656716418, 'support': 1671.0}, 'CL': {'precision': 0.8901734104046243, 'recall': 0.850828729281768, 'f1-score': 0.8700564971751412, 'support': 181.0}, 'accuracy': 0.9751619870410367, 'macro avg': {'precision': 0.9370462049045158, 'recall': 0.9197291462088074, 'f1-score': 0.9281625769457795, 'support': 1852.0}, 'weighted avg': {'precision': 0.9747570384924416, 'recall': 0.9751619870410367, 'f1-score': 0.9749109888562824, 'support': 1852.0}}     | 0.0248     | {'~D': {'precision': 0.9989148128052089, 'recall': 0.999457111834962, 'f1-score': 0.9991858887381275, 'support': 1842.0}, 'D': {'precision': 0.8888888888888888, 'recall': 0.8, 'f1-score': 0.8421052631578947, 'support': 10.0}, 'accuracy': 0.9983801295896328, 'macro avg': {'precision': 0.9439018508470489, 'recall': 0.899728555917481, 'f1-score': 0.9206455759480111, 'support': 1852.0}, 'weighted avg': {'precision': 0.9983207203434578, 'recall': 0.9983801295896328, 'f1-score': 0.9983377212133963, 'support': 1852.0}}  | 0.0016    | {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}                               | 0.0038     | {'~PL': {'precision': 0.9827873403664631, 'recall': 0.9822419533851277, 'f1-score': 0.9825145711906744, 'support': 1802.0}, 'PL': {'precision': 0.37254901960784315, 'recall': 0.38, 'f1-score': 0.37623762376237624, 'support': 50.0}, 'accuracy': 0.9659827213822895, 'macro avg': {'precision': 0.6776681799871531, 'recall': 0.6811209766925639, 'f1-score': 0.6793760974765253, 'support': 1852.0}, 'weighted avg': {'precision': 0.9663122237153126, 'recall': 0.9659827213822895, 'f1-score': 0.9661464030635606, 'support': 1852.0}} | 0.0340     | {'~TI': {'precision': 0.9775659001682557, 'recall': 0.9710306406685236, 'f1-score': 0.9742873113471213, 'support': 1795.0}, 'TI': {'precision': 0.2463768115942029, 'recall': 0.2982456140350877, 'f1-score': 0.2698412698412698, 'support': 57.0}, 'accuracy': 0.9503239740820735, 'macro avg': {'precision': 0.6119713558812293, 'recall': 0.6346381273518057, 'f1-score': 0.6220642905941955, 'support': 1852.0}, 'weighted avg': {'precision': 0.9550617003579313, 'recall': 0.9503239740820735, 'f1-score': 0.9526061966787447, 'support': 1852.0}}   | 0.0497     | {'~PC': {'precision': 0.9859078590785908, 'recall': 0.9961664841182913, 'f1-score': 0.9910106238082267, 'support': 1826.0}, 'PC': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 26.0}, 'accuracy': 0.9821814254859611, 'macro avg': {'precision': 0.4929539295392954, 'recall': 0.49808324205914567, 'f1-score': 0.49550531190411334, 'support': 1852.0}, 'weighted avg': {'precision': 0.9720668200202521, 'recall': 0.9821814254859611, 'f1-score': 0.9770979476640507, 'support': 1852.0}}                                                | 0.0178     | {'f1-score': 0.6542472475019774, 'hamming': 0.021800755939524838} |
+| No log        | 24.0  | 216  | 0.1195          | {'~LIN': {'precision': 0.9907658881042911, 'recall': 0.9940054495912807, 'f1-score': 0.9923830250272034, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9848812095032398, 'macro avg': {'precision': 0.49538294405214556, 'recall': 0.49700272479564034, 'f1-score': 0.4961915125136017, 'support': 1852.0}, 'weighted avg': {'precision': 0.9816713848117571, 'recall': 0.9848812095032398, 'f1-score': 0.9832736776052474, 'support': 1852.0}}                                               | 0.0151      | {'~SI': {'precision': 0.9815618221258134, 'recall': 0.9977949283351709, 'f1-score': 0.9896118097320941, 'support': 1814.0}, 'SI': {'precision': 0.5, 'recall': 0.10526315789473684, 'f1-score': 0.17391304347826086, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.7407809110629067, 'recall': 0.5515290431149539, 'f1-score': 0.5817624266051775, 'support': 1852.0}, 'weighted avg': {'precision': 0.9716809640044414, 'recall': 0.9794816414686826, 'f1-score': 0.9728750099925446, 'support': 1852.0}}                | 0.0205     | {'~CL': {'precision': 0.9826968973747017, 'recall': 0.9856373429084381, 'f1-score': 0.9841649238123693, 'support': 1671.0}, 'CL': {'precision': 0.8636363636363636, 'recall': 0.8397790055248618, 'f1-score': 0.8515406162464986, 'support': 181.0}, 'accuracy': 0.9713822894168467, 'macro avg': {'precision': 0.9231666305055326, 'recall': 0.91270817421665, 'f1-score': 0.9178527700294339, 'support': 1852.0}, 'weighted avg': {'precision': 0.9710608516907712, 'recall': 0.9713822894168467, 'f1-score': 0.9712032609239122, 'support': 1852.0}}     | 0.0286     | {'~D': {'precision': 0.9989148128052089, 'recall': 0.999457111834962, 'f1-score': 0.9991858887381275, 'support': 1842.0}, 'D': {'precision': 0.8888888888888888, 'recall': 0.8, 'f1-score': 0.8421052631578947, 'support': 10.0}, 'accuracy': 0.9983801295896328, 'macro avg': {'precision': 0.9439018508470489, 'recall': 0.899728555917481, 'f1-score': 0.9206455759480111, 'support': 1852.0}, 'weighted avg': {'precision': 0.9983207203434578, 'recall': 0.9983801295896328, 'f1-score': 0.9983377212133963, 'support': 1852.0}}  | 0.0016    | {'~HI': {'precision': 0.9962121212121212, 'recall': 0.9978319783197832, 'f1-score': 0.9970213918223666, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.994060475161987, 'macro avg': {'precision': 0.4981060606060606, 'recall': 0.4989159891598916, 'f1-score': 0.4985106959111833, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924467406243864, 'recall': 0.994060475161987, 'f1-score': 0.993252952436429, 'support': 1852.0}}      | 0.0059     | {'~PL': {'precision': 0.9808638600328048, 'recall': 0.9955604883462819, 'f1-score': 0.9881575323602313, 'support': 1802.0}, 'PL': {'precision': 0.6521739130434783, 'recall': 0.3, 'f1-score': 0.410958904109589, 'support': 50.0}, 'accuracy': 0.9767818574514039, 'macro avg': {'precision': 0.8165188865381415, 'recall': 0.647780244173141, 'f1-score': 0.6995582182349102, 'support': 1852.0}, 'weighted avg': {'precision': 0.9719899413775854, 'recall': 0.9767818574514039, 'f1-score': 0.9725744160467691, 'support': 1852.0}}      | 0.0232     | {'~TI': {'precision': 0.9827288428324698, 'recall': 0.950974930362117, 'f1-score': 0.9665911664779162, 'support': 1795.0}, 'TI': {'precision': 0.23478260869565218, 'recall': 0.47368421052631576, 'f1-score': 0.313953488372093, 'support': 57.0}, 'accuracy': 0.9362850971922246, 'macro avg': {'precision': 0.608755725764061, 'recall': 0.7123295704442164, 'f1-score': 0.6402723274250046, 'support': 1852.0}, 'weighted avg': {'precision': 0.9597088993412177, 'recall': 0.9362850971922246, 'f1-score': 0.9465045856722833, 'support': 1852.0}}    | 0.0637     | {'~PC': {'precision': 0.9864425162689805, 'recall': 0.9961664841182913, 'f1-score': 0.9912806539509537, 'support': 1826.0}, 'PC': {'precision': 0.125, 'recall': 0.038461538461538464, 'f1-score': 0.058823529411764705, 'support': 26.0}, 'accuracy': 0.9827213822894169, 'macro avg': {'precision': 0.5557212581344902, 'recall': 0.5173140112899149, 'f1-score': 0.5250520916813591, 'support': 1852.0}, 'weighted avg': {'precision': 0.9743488308353987, 'recall': 0.9827213822894169, 'f1-score': 0.9781900031744856, 'support': 1852.0}}              | 0.0173     | {'f1-score': 0.6599807022935851, 'hamming': 0.022003239740820735} |
+| No log        | 25.0  | 225  | 0.1348          | {'~LIN': {'precision': 0.9908008658008658, 'recall': 0.9978201634877384, 'f1-score': 0.9942981265272876, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9886609071274298, 'macro avg': {'precision': 0.4954004329004329, 'recall': 0.4989100817438692, 'f1-score': 0.4971490632636438, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817060414387628, 'recall': 0.9886609071274298, 'f1-score': 0.9851711998798988, 'support': 1852.0}}                                                 | 0.0113      | {'~SI': {'precision': 0.9810400866738895, 'recall': 0.9983461962513782, 'f1-score': 0.9896174863387979, 'support': 1814.0}, 'SI': {'precision': 0.5, 'recall': 0.07894736842105263, 'f1-score': 0.13636363636363635, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.7405200433369448, 'recall': 0.5386467823362154, 'f1-score': 0.5629905613512172, 'support': 1852.0}, 'weighted avg': {'precision': 0.9711699337075786, 'recall': 0.9794816414686826, 'f1-score': 0.9721101179267806, 'support': 1852.0}}                | 0.0205     | {'~CL': {'precision': 0.9630057803468208, 'recall': 0.9970077797725913, 'f1-score': 0.9797118494560424, 'support': 1671.0}, 'CL': {'precision': 0.9590163934426229, 'recall': 0.6464088397790055, 'f1-score': 0.7722772277227723, 'support': 181.0}, 'accuracy': 0.962742980561555, 'macro avg': {'precision': 0.9610110868947219, 'recall': 0.8217083097757985, 'f1-score': 0.8759945385894073, 'support': 1852.0}, 'weighted avg': {'precision': 0.9626158888621232, 'recall': 0.962742980561555, 'f1-score': 0.9594388113708794, 'support': 1852.0}}     | 0.0373     | {'~D': {'precision': 0.9978319783197832, 'recall': 0.999457111834962, 'f1-score': 0.9986438839164633, 'support': 1842.0}, 'D': {'precision': 0.8571428571428571, 'recall': 0.6, 'f1-score': 0.7058823529411765, 'support': 10.0}, 'accuracy': 0.9973002159827213, 'macro avg': {'precision': 0.9274874177313202, 'recall': 0.7997285559174809, 'f1-score': 0.8522631184288199, 'support': 1852.0}, 'weighted avg': {'precision': 0.9970723178382663, 'recall': 0.9973002159827213, 'f1-score': 0.9970630981120611, 'support': 1852.0}} | 0.0027    | {'~HI': {'precision': 0.9962121212121212, 'recall': 0.9978319783197832, 'f1-score': 0.9970213918223666, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.994060475161987, 'macro avg': {'precision': 0.4981060606060606, 'recall': 0.4989159891598916, 'f1-score': 0.4985106959111833, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924467406243864, 'recall': 0.994060475161987, 'f1-score': 0.993252952436429, 'support': 1852.0}}      | 0.0059     | {'~PL': {'precision': 0.9807162534435262, 'recall': 0.9877913429522752, 'f1-score': 0.984241083771081, 'support': 1802.0}, 'PL': {'precision': 0.40540540540540543, 'recall': 0.3, 'f1-score': 0.3448275862068966, 'support': 50.0}, 'accuracy': 0.9692224622030238, 'macro avg': {'precision': 0.6930608294244658, 'recall': 0.6438956714761376, 'f1-score': 0.6645343349889887, 'support': 1852.0}, 'weighted avg': {'precision': 0.9651841031185229, 'recall': 0.9692224622030238, 'f1-score': 0.966978300359521, 'support': 1852.0}}     | 0.0308     | {'~TI': {'precision': 0.9763866007688083, 'recall': 0.9905292479108635, 'f1-score': 0.9834070796460177, 'support': 1795.0}, 'TI': {'precision': 0.45161290322580644, 'recall': 0.24561403508771928, 'f1-score': 0.3181818181818182, 'support': 57.0}, 'accuracy': 0.9676025917926566, 'macro avg': {'precision': 0.7139997519973074, 'recall': 0.6180716414992914, 'f1-score': 0.6507944489139179, 'support': 1852.0}, 'weighted avg': {'precision': 0.9602353584578196, 'recall': 0.9676025917926566, 'f1-score': 0.9629330840178, 'support': 1852.0}}    | 0.0324     | {'~PC': {'precision': 0.9864425162689805, 'recall': 0.9961664841182913, 'f1-score': 0.9912806539509537, 'support': 1826.0}, 'PC': {'precision': 0.125, 'recall': 0.038461538461538464, 'f1-score': 0.058823529411764705, 'support': 26.0}, 'accuracy': 0.9827213822894169, 'macro avg': {'precision': 0.5557212581344902, 'recall': 0.5173140112899149, 'f1-score': 0.5250520916813591, 'support': 1852.0}, 'weighted avg': {'precision': 0.9743488308353987, 'recall': 0.9827213822894169, 'f1-score': 0.9781900031744856, 'support': 1852.0}}              | 0.0173     | {'f1-score': 0.6409111066410671, 'hamming': 0.019775917926565877} |
+| No log        | 26.0  | 234  | 0.1084          | {'~LIN': {'precision': 0.9907908992416035, 'recall': 0.9967302452316076, 'f1-score': 0.9937516979081771, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9875809935205183, 'macro avg': {'precision': 0.49539544962080173, 'recall': 0.4983651226158038, 'f1-score': 0.49687584895408854, 'support': 1852.0}, 'weighted avg': {'precision': 0.9816961663651957, 'recall': 0.9875809935205183, 'f1-score': 0.9846297870742468, 'support': 1852.0}}                                               | 0.0124      | {'~SI': {'precision': 0.9815116911364872, 'recall': 0.9950385887541345, 'f1-score': 0.9882288529975363, 'support': 1814.0}, 'SI': {'precision': 0.3076923076923077, 'recall': 0.10526315789473684, 'f1-score': 0.1568627450980392, 'support': 38.0}, 'accuracy': 0.9767818574514039, 'macro avg': {'precision': 0.6446019994143974, 'recall': 0.5501508733244357, 'f1-score': 0.5725457990477878, 'support': 1852.0}, 'weighted avg': {'precision': 0.9676860234416281, 'recall': 0.9767818574514039, 'f1-score': 0.9711705851248683, 'support': 1852.0}}  | 0.0232     | {'~CL': {'precision': 0.9776470588235294, 'recall': 0.9946140035906643, 'f1-score': 0.9860575496885198, 'support': 1671.0}, 'CL': {'precision': 0.9407894736842105, 'recall': 0.7900552486187845, 'f1-score': 0.8588588588588588, 'support': 181.0}, 'accuracy': 0.974622030237581, 'macro avg': {'precision': 0.95921826625387, 'recall': 0.8923346261047245, 'f1-score': 0.9224582042736893, 'support': 1852.0}, 'weighted avg': {'precision': 0.9740448866257883, 'recall': 0.974622030237581, 'f1-score': 0.9736261441592711, 'support': 1852.0}}       | 0.0254     | {'~D': {'precision': 0.9983739837398374, 'recall': 1.0, 'f1-score': 0.9991863303498779, 'support': 1842.0}, 'D': {'precision': 1.0, 'recall': 0.7, 'f1-score': 0.8235294117647058, 'support': 10.0}, 'accuracy': 0.9983801295896328, 'macro avg': {'precision': 0.9991869918699188, 'recall': 0.85, 'f1-score': 0.9113578710572918, 'support': 1852.0}, 'weighted avg': {'precision': 0.9983827635252595, 'recall': 0.9983801295896328, 'f1-score': 0.9982378588672367, 'support': 1852.0}}                                            | 0.0016    | {'~HI': {'precision': 0.9962141698215251, 'recall': 0.9983739837398374, 'f1-score': 0.9972929074174337, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9946004319654428, 'macro avg': {'precision': 0.49810708491076255, 'recall': 0.4991869918699187, 'f1-score': 0.49864645370871685, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924487814906662, 'recall': 0.9946004319654428, 'f1-score': 0.9935234417846464, 'support': 1852.0}} | 0.0054     | {'~PL': {'precision': 0.9782372143634385, 'recall': 0.9977802441731409, 'f1-score': 0.987912087912088, 'support': 1802.0}, 'PL': {'precision': 0.7142857142857143, 'recall': 0.2, 'f1-score': 0.3125, 'support': 50.0}, 'accuracy': 0.9762419006479481, 'macro avg': {'precision': 0.8462614643245764, 'recall': 0.5988901220865704, 'f1-score': 0.650206043956044, 'support': 1852.0}, 'weighted avg': {'precision': 0.971111093950973, 'recall': 0.9762419006479481, 'f1-score': 0.9696774203118695, 'support': 1852.0}}                   | 0.0238     | {'~TI': {'precision': 0.9773355444997236, 'recall': 0.984958217270195, 'f1-score': 0.9811320754716981, 'support': 1795.0}, 'TI': {'precision': 0.37209302325581395, 'recall': 0.2807017543859649, 'f1-score': 0.32, 'support': 57.0}, 'accuracy': 0.9632829373650108, 'macro avg': {'precision': 0.6747142838777688, 'recall': 0.6328299858280799, 'f1-score': 0.6505660377358491, 'support': 1852.0}, 'weighted avg': {'precision': 0.9587076699258019, 'recall': 0.9632829373650108, 'f1-score': 0.9607840580300745, 'support': 1852.0}}                 | 0.0367     | {'~PC': {'precision': 0.985945945945946, 'recall': 0.9989047097480832, 'f1-score': 0.9923830250272034, 'support': 1826.0}, 'PC': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 26.0}, 'accuracy': 0.9848812095032398, 'macro avg': {'precision': 0.492972972972973, 'recall': 0.4994523548740416, 'f1-score': 0.4961915125136017, 'support': 1852.0}, 'weighted avg': {'precision': 0.9721043721907653, 'recall': 0.9848812095032398, 'f1-score': 0.9784510819112708, 'support': 1852.0}}                                                    | 0.0151     | {'f1-score': 0.6498559714058836, 'hamming': 0.01795356371490281}  |
+| No log        | 27.0  | 243  | 0.1039          | {'~LIN': {'precision': 0.9913185024416712, 'recall': 0.9956403269754769, 'f1-score': 0.9934747145187602, 'support': 1835.0}, 'LIN': {'precision': 0.1111111111111111, 'recall': 0.058823529411764705, 'f1-score': 0.07692307692307693, 'support': 17.0}, 'accuracy': 0.9870410367170627, 'macro avg': {'precision': 0.5512148067763911, 'recall': 0.5272319281936207, 'f1-score': 0.5351988957209186, 'support': 1852.0}, 'weighted avg': {'precision': 0.9832388449618551, 'recall': 0.9870410367170627, 'f1-score': 0.9850614435473096, 'support': 1852.0}} | 0.0130      | {'~SI': {'precision': 0.9840308370044053, 'recall': 0.9851157662624035, 'f1-score': 0.984573002754821, 'support': 1814.0}, 'SI': {'precision': 0.25, 'recall': 0.23684210526315788, 'f1-score': 0.24324324324324326, 'support': 38.0}, 'accuracy': 0.9697624190064795, 'macro avg': {'precision': 0.6170154185022027, 'recall': 0.6109789357627807, 'f1-score': 0.6139081229990321, 'support': 1852.0}, 'weighted avg': {'precision': 0.9689697291177058, 'recall': 0.9697624190064795, 'f1-score': 0.969362132959227, 'support': 1852.0}}                 | 0.0302     | {'~CL': {'precision': 0.9725787631271878, 'recall': 0.997606223818073, 'f1-score': 0.9849335302806499, 'support': 1671.0}, 'CL': {'precision': 0.9710144927536232, 'recall': 0.7403314917127072, 'f1-score': 0.8401253918495298, 'support': 181.0}, 'accuracy': 0.9724622030237581, 'macro avg': {'precision': 0.9717966279404056, 'recall': 0.86896885776539, 'f1-score': 0.9125294610650898, 'support': 1852.0}, 'weighted avg': {'precision': 0.9724258835712402, 'recall': 0.9724622030237581, 'f1-score': 0.9707811150236128, 'support': 1852.0}}      | 0.0275     | {'~D': {'precision': 0.9983722192078134, 'recall': 0.998914223669924, 'f1-score': 0.9986431478968792, 'support': 1842.0}, 'D': {'precision': 0.7777777777777778, 'recall': 0.7, 'f1-score': 0.7368421052631579, 'support': 10.0}, 'accuracy': 0.9973002159827213, 'macro avg': {'precision': 0.8880749984927956, 'recall': 0.849457111834962, 'f1-score': 0.8677426265800186, 'support': 1852.0}, 'weighted avg': {'precision': 0.9971811045132668, 'recall': 0.9973002159827213, 'f1-score': 0.9972295353556605, 'support': 1852.0}}  | 0.0027    | {'~HI': {'precision': 0.9962141698215251, 'recall': 0.9983739837398374, 'f1-score': 0.9972929074174337, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9946004319654428, 'macro avg': {'precision': 0.49810708491076255, 'recall': 0.4991869918699187, 'f1-score': 0.49864645370871685, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924487814906662, 'recall': 0.9946004319654428, 'f1-score': 0.9935234417846464, 'support': 1852.0}} | 0.0054     | {'~PL': {'precision': 0.9828539823008849, 'recall': 0.9861265260821309, 'f1-score': 0.9844875346260388, 'support': 1802.0}, 'PL': {'precision': 0.4318181818181818, 'recall': 0.38, 'f1-score': 0.40425531914893614, 'support': 50.0}, 'accuracy': 0.9697624190064795, 'macro avg': {'precision': 0.7073360820595334, 'recall': 0.6830632630410655, 'f1-score': 0.6943714268874874, 'support': 1852.0}, 'weighted avg': {'precision': 0.9679772058299695, 'recall': 0.9697624190064795, 'f1-score': 0.9688225180094864, 'support': 1852.0}}  | 0.0302     | {'~TI': {'precision': 0.9762693156732892, 'recall': 0.9855153203342618, 'f1-score': 0.9808705295259218, 'support': 1795.0}, 'TI': {'precision': 0.35, 'recall': 0.24561403508771928, 'f1-score': 0.28865979381443296, 'support': 57.0}, 'accuracy': 0.962742980561555, 'macro avg': {'precision': 0.6631346578366446, 'recall': 0.6155646777109905, 'f1-score': 0.6347651616701774, 'support': 1852.0}, 'weighted avg': {'precision': 0.9569942881390682, 'recall': 0.962742980561555, 'f1-score': 0.9595659874440887, 'support': 1852.0}}                 | 0.0373     | {'~PC': {'precision': 0.9863834422657952, 'recall': 0.9917853231106243, 'f1-score': 0.9890770070999454, 'support': 1826.0}, 'PC': {'precision': 0.0625, 'recall': 0.038461538461538464, 'f1-score': 0.047619047619047616, 'support': 26.0}, 'accuracy': 0.978401727861771, 'macro avg': {'precision': 0.5244417211328976, 'recall': 0.5151234307860814, 'f1-score': 0.5183480273594965, 'support': 1852.0}, 'weighted avg': {'precision': 0.973413156359256, 'recall': 0.978401727861771, 'f1-score': 0.9758599947098249, 'support': 1852.0}}                | 0.0216     | {'f1-score': 0.6594387719988671, 'hamming': 0.020990820734341255} |
+| No log        | 28.0  | 252  | 0.1175          | {'~LIN': {'precision': 0.990815775256618, 'recall': 0.9994550408719346, 'f1-score': 0.99511665762344, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.990280777537797, 'macro avg': {'precision': 0.495407887628309, 'recall': 0.4997275204359673, 'f1-score': 0.49755832881172, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817208140366599, 'recall': 0.990280777537797, 'f1-score': 0.9859822174616698, 'support': 1852.0}}                                                         | 0.0097      | {'~SI': {'precision': 0.9825708061002179, 'recall': 0.9944873208379272, 'f1-score': 0.9884931506849315, 'support': 1814.0}, 'SI': {'precision': 0.375, 'recall': 0.15789473684210525, 'f1-score': 0.2222222222222222, 'support': 38.0}, 'accuracy': 0.9773218142548596, 'macro avg': {'precision': 0.6787854030501089, 'recall': 0.5761910288400163, 'f1-score': 0.6053576864535768, 'support': 1852.0}, 'weighted avg': {'precision': 0.9701044504674919, 'recall': 0.9773218142548596, 'f1-score': 0.972770529042608, 'support': 1852.0}}                | 0.0227     | {'~CL': {'precision': 0.9747652582159625, 'recall': 0.9940155595451825, 'f1-score': 0.9842962962962963, 'support': 1671.0}, 'CL': {'precision': 0.9324324324324325, 'recall': 0.7624309392265194, 'f1-score': 0.8389057750759878, 'support': 181.0}, 'accuracy': 0.9713822894168467, 'macro avg': {'precision': 0.9535988453241975, 'recall': 0.878223249385851, 'f1-score': 0.9116010356861421, 'support': 1852.0}, 'weighted avg': {'precision': 0.970627978806233, 'recall': 0.9713822894168467, 'f1-score': 0.9700869634988472, 'support': 1852.0}}     | 0.0286     | {'~D': {'precision': 0.9989148128052089, 'recall': 0.999457111834962, 'f1-score': 0.9991858887381275, 'support': 1842.0}, 'D': {'precision': 0.8888888888888888, 'recall': 0.8, 'f1-score': 0.8421052631578947, 'support': 10.0}, 'accuracy': 0.9983801295896328, 'macro avg': {'precision': 0.9439018508470489, 'recall': 0.899728555917481, 'f1-score': 0.9206455759480111, 'support': 1852.0}, 'weighted avg': {'precision': 0.9983207203434578, 'recall': 0.9983801295896328, 'f1-score': 0.9983377212133963, 'support': 1852.0}}  | 0.0016    | {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}                               | 0.0038     | {'~PL': {'precision': 0.9829295154185022, 'recall': 0.9905660377358491, 'f1-score': 0.9867330016583747, 'support': 1802.0}, 'PL': {'precision': 0.5277777777777778, 'recall': 0.38, 'f1-score': 0.4418604651162791, 'support': 50.0}, 'accuracy': 0.9740820734341252, 'macro avg': {'precision': 0.75535364659814, 'recall': 0.6852830188679245, 'f1-score': 0.7142967333873269, 'support': 1852.0}, 'weighted avg': {'precision': 0.9706414015513121, 'recall': 0.9740820734341252, 'f1-score': 0.9720226200022706, 'support': 1852.0}}     | 0.0259     | {'~TI': {'precision': 0.9804031354983203, 'recall': 0.9754874651810584, 'f1-score': 0.9779391231499581, 'support': 1795.0}, 'TI': {'precision': 0.3333333333333333, 'recall': 0.38596491228070173, 'f1-score': 0.35772357723577236, 'support': 57.0}, 'accuracy': 0.9573434125269978, 'macro avg': {'precision': 0.6568682344158268, 'recall': 0.6807261887308801, 'f1-score': 0.6678313501928652, 'support': 1852.0}, 'weighted avg': {'precision': 0.9604879202049054, 'recall': 0.9573434125269978, 'f1-score': 0.9588504157433121, 'support': 1852.0}} | 0.0427     | {'~PC': {'precision': 0.9859307359307359, 'recall': 0.9978094194961665, 'f1-score': 0.9918345127925966, 'support': 1826.0}, 'PC': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 26.0}, 'accuracy': 0.9838012958963283, 'macro avg': {'precision': 0.49296536796536794, 'recall': 0.49890470974808326, 'f1-score': 0.4959172563962983, 'support': 1852.0}, 'weighted avg': {'precision': 0.9720893757070862, 'recall': 0.9838012958963283, 'f1-score': 0.9779102701723982, 'support': 1852.0}}                                                | 0.0162     | {'f1-score': 0.6640326566655514, 'hamming': 0.018898488120950324} |
+| No log        | 29.0  | 261  | 0.1232          | {'~LIN': {'precision': 0.9907859078590786, 'recall': 0.9961852861035423, 'f1-score': 0.9934782608695653, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9870410367170627, 'macro avg': {'precision': 0.4953929539295393, 'recall': 0.49809264305177114, 'f1-score': 0.4967391304347826, 'support': 1852.0}, 'weighted avg': {'precision': 0.981691220799897, 'recall': 0.9870410367170627, 'f1-score': 0.9843588599868532, 'support': 1852.0}}                                                 | 0.0130      | {'~SI': {'precision': 0.9836867862969005, 'recall': 0.9972436604189636, 'f1-score': 0.9904188338352039, 'support': 1814.0}, 'SI': {'precision': 0.6153846153846154, 'recall': 0.21052631578947367, 'f1-score': 0.3137254901960784, 'support': 38.0}, 'accuracy': 0.9811015118790497, 'macro avg': {'precision': 0.799535700840758, 'recall': 0.6038849881042186, 'f1-score': 0.6520721620156411, 'support': 1852.0}, 'weighted avg': {'precision': 0.9761298303062598, 'recall': 0.9811015118790497, 'f1-score': 0.9765341971946603, 'support': 1852.0}}   | 0.0189     | {'~CL': {'precision': 0.9782096584216725, 'recall': 0.9940155595451825, 'f1-score': 0.9860492727812408, 'support': 1671.0}, 'CL': {'precision': 0.935064935064935, 'recall': 0.7955801104972375, 'f1-score': 0.8597014925373134, 'support': 181.0}, 'accuracy': 0.974622030237581, 'macro avg': {'precision': 0.9566372967433038, 'recall': 0.89479783502121, 'f1-score': 0.922875382659277, 'support': 1852.0}, 'weighted avg': {'precision': 0.9739930304910196, 'recall': 0.974622030237581, 'f1-score': 0.9737010285997337, 'support': 1852.0}}         | 0.0254     | {'~D': {'precision': 0.9983731019522777, 'recall': 0.999457111834962, 'f1-score': 0.9989148128052089, 'support': 1842.0}, 'D': {'precision': 0.875, 'recall': 0.7, 'f1-score': 0.7777777777777778, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9366865509761388, 'recall': 0.849728555917481, 'f1-score': 0.8883462952914933, 'support': 1852.0}, 'weighted avg': {'precision': 0.997706940494652, 'recall': 0.9978401727861771, 'f1-score': 0.9977207683396181, 'support': 1852.0}}                | 0.0022    | {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}                               | 0.0038     | {'~PL': {'precision': 0.9782490483958673, 'recall': 0.9983351831298557, 'f1-score': 0.9881900576764625, 'support': 1802.0}, 'PL': {'precision': 0.7692307692307693, 'recall': 0.2, 'f1-score': 0.31746031746031744, 'support': 50.0}, 'accuracy': 0.9767818574514039, 'macro avg': {'precision': 0.8737399088133183, 'recall': 0.5991675915649278, 'f1-score': 0.6528251875683899, 'support': 1852.0}, 'weighted avg': {'precision': 0.9726060063017773, 'recall': 0.9767818574514039, 'f1-score': 0.9700818033509726, 'support': 1852.0}}   | 0.0232     | {'~TI': {'precision': 0.9754232659748772, 'recall': 0.9949860724233983, 'f1-score': 0.9851075565361279, 'support': 1795.0}, 'TI': {'precision': 0.5714285714285714, 'recall': 0.21052631578947367, 'f1-score': 0.3076923076923077, 'support': 57.0}, 'accuracy': 0.9708423326133909, 'macro avg': {'precision': 0.7734259187017243, 'recall': 0.602756194106436, 'f1-score': 0.6463999321142178, 'support': 1852.0}, 'weighted avg': {'precision': 0.9629893039937004, 'recall': 0.9708423326133909, 'f1-score': 0.9642583831105891, 'support': 1852.0}}   | 0.0292     | {'~PC': {'precision': 0.985945945945946, 'recall': 0.9989047097480832, 'f1-score': 0.9923830250272034, 'support': 1826.0}, 'PC': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 26.0}, 'accuracy': 0.9848812095032398, 'macro avg': {'precision': 0.492972972972973, 'recall': 0.4994523548740416, 'f1-score': 0.4961915125136017, 'support': 1852.0}, 'weighted avg': {'precision': 0.9721043721907653, 'recall': 0.9848812095032398, 'f1-score': 0.9784510819112708, 'support': 1852.0}}                                                    | 0.0151     | {'f1-score': 0.6568128611307344, 'hamming': 0.016333693304535636} |
+| No log        | 30.0  | 270  | 0.1247          | {'~LIN': {'precision': 0.9907809110629068, 'recall': 0.9956403269754769, 'f1-score': 0.9932046751834738, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9865010799136069, 'macro avg': {'precision': 0.4953904555314534, 'recall': 0.49782016348773844, 'f1-score': 0.4966023375917369, 'support': 1852.0}, 'weighted avg': {'precision': 0.9816862698706447, 'recall': 0.9865010799136069, 'f1-score': 0.9840877856164548, 'support': 1852.0}}                                                | 0.0135      | {'~SI': {'precision': 0.9825897714907508, 'recall': 0.9955898566703418, 'f1-score': 0.9890470974808324, 'support': 1814.0}, 'SI': {'precision': 0.42857142857142855, 'recall': 0.15789473684210525, 'f1-score': 0.23076923076923078, 'support': 38.0}, 'accuracy': 0.978401727861771, 'macro avg': {'precision': 0.7055806000310897, 'recall': 0.5767422967562236, 'f1-score': 0.6099081641250316, 'support': 1852.0}, 'weighted avg': {'precision': 0.9712222244978057, 'recall': 0.978401727861771, 'f1-score': 0.9734884803452812, 'support': 1852.0}}  | 0.0216     | {'~CL': {'precision': 0.9719789842381786, 'recall': 0.9964093357271095, 'f1-score': 0.9840425531914894, 'support': 1671.0}, 'CL': {'precision': 0.9568345323741008, 'recall': 0.7348066298342542, 'f1-score': 0.83125, 'support': 181.0}, 'accuracy': 0.9708423326133909, 'macro avg': {'precision': 0.9644067583061398, 'recall': 0.8656079827806819, 'f1-score': 0.9076462765957447, 'support': 1852.0}, 'weighted avg': {'precision': 0.9704988839210089, 'recall': 0.9708423326133909, 'f1-score': 0.9691098036625154, 'support': 1852.0}}              | 0.0292     | {'~D': {'precision': 0.9983731019522777, 'recall': 0.999457111834962, 'f1-score': 0.9989148128052089, 'support': 1842.0}, 'D': {'precision': 0.875, 'recall': 0.7, 'f1-score': 0.7777777777777778, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9366865509761388, 'recall': 0.849728555917481, 'f1-score': 0.8883462952914933, 'support': 1852.0}, 'weighted avg': {'precision': 0.997706940494652, 'recall': 0.9978401727861771, 'f1-score': 0.9977207683396181, 'support': 1852.0}}                | 0.0022    | {'~HI': {'precision': 0.9962162162162163, 'recall': 0.9989159891598915, 'f1-score': 0.9975642760487144, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9951403887688985, 'macro avg': {'precision': 0.4981081081081081, 'recall': 0.4994579945799458, 'f1-score': 0.4987821380243572, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924508201506043, 'recall': 0.9951403887688985, 'f1-score': 0.9937937847245563, 'support': 1852.0}}   | 0.0049     | {'~PL': {'precision': 0.9798474945533769, 'recall': 0.9983351831298557, 'f1-score': 0.9890049477735019, 'support': 1802.0}, 'PL': {'precision': 0.8125, 'recall': 0.26, 'f1-score': 0.3939393939393939, 'support': 50.0}, 'accuracy': 0.978401727861771, 'macro avg': {'precision': 0.8961737472766884, 'recall': 0.6291675915649279, 'f1-score': 0.691472170856448, 'support': 1852.0}, 'weighted avg': {'precision': 0.9753294736421086, 'recall': 0.978401727861771, 'f1-score': 0.9729394630587581, 'support': 1852.0}}                  | 0.0216     | {'~TI': {'precision': 0.9758507135016465, 'recall': 0.9905292479108635, 'f1-score': 0.9831351949129112, 'support': 1795.0}, 'TI': {'precision': 0.43333333333333335, 'recall': 0.22807017543859648, 'f1-score': 0.2988505747126437, 'support': 57.0}, 'accuracy': 0.9670626349892009, 'macro avg': {'precision': 0.7045920234174899, 'recall': 0.60929971167473, 'f1-score': 0.6409928848127775, 'support': 1852.0}, 'weighted avg': {'precision': 0.9591533643279998, 'recall': 0.9670626349892009, 'f1-score': 0.962074599150808, 'support': 1852.0}}    | 0.0329     | {'~PC': {'precision': 0.9859231185706551, 'recall': 0.9972617743702081, 'f1-score': 0.9915600326708413, 'support': 1826.0}, 'PC': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 26.0}, 'accuracy': 0.9832613390928726, 'macro avg': {'precision': 0.49296155928532753, 'recall': 0.49863088718510407, 'f1-score': 0.4957800163354206, 'support': 1852.0}, 'weighted avg': {'precision': 0.9720818652861858, 'recall': 0.9832613390928726, 'f1-score': 0.9776396434432808, 'support': 1852.0}}                                                | 0.0167     | {'f1-score': 0.6536912854541262, 'hamming': 0.017818574514038878} |
+| No log        | 31.0  | 279  | 0.1127          | {'~LIN': {'precision': 0.9913419913419913, 'recall': 0.9983651226158038, 'f1-score': 0.9948411620961173, 'support': 1835.0}, 'LIN': {'precision': 0.25, 'recall': 0.058823529411764705, 'f1-score': 0.09523809523809523, 'support': 17.0}, 'accuracy': 0.9897408207343412, 'macro avg': {'precision': 0.6206709956709957, 'recall': 0.5285943260137842, 'f1-score': 0.5450396286671062, 'support': 1852.0}, 'weighted avg': {'precision': 0.9845370162594784, 'recall': 0.9897408207343412, 'f1-score': 0.9865834665580037, 'support': 1852.0}}               | 0.0103      | {'~SI': {'precision': 0.9820846905537459, 'recall': 0.9972436604189636, 'f1-score': 0.9896061269146609, 'support': 1814.0}, 'SI': {'precision': 0.5, 'recall': 0.13157894736842105, 'f1-score': 0.20833333333333334, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.741042345276873, 'recall': 0.5644113038936923, 'f1-score': 0.5989697301239971, 'support': 1852.0}, 'weighted avg': {'precision': 0.9721931040305049, 'recall': 0.9794816414686826, 'f1-score': 0.9735756916251952, 'support': 1852.0}}                 | 0.0205     | {'~CL': {'precision': 0.9822064056939501, 'recall': 0.9910233393177738, 'f1-score': 0.9865951742627346, 'support': 1671.0}, 'CL': {'precision': 0.9096385542168675, 'recall': 0.8342541436464088, 'f1-score': 0.8703170028818443, 'support': 181.0}, 'accuracy': 0.9757019438444925, 'macro avg': {'precision': 0.9459224799554088, 'recall': 0.9126387414820913, 'f1-score': 0.9284560885722895, 'support': 1852.0}, 'weighted avg': {'precision': 0.9751141912677341, 'recall': 0.9757019438444925, 'f1-score': 0.9752310549215136, 'support': 1852.0}}   | 0.0243     | {'~D': {'precision': 0.9983731019522777, 'recall': 0.999457111834962, 'f1-score': 0.9989148128052089, 'support': 1842.0}, 'D': {'precision': 0.875, 'recall': 0.7, 'f1-score': 0.7777777777777778, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9366865509761388, 'recall': 0.849728555917481, 'f1-score': 0.8883462952914933, 'support': 1852.0}, 'weighted avg': {'precision': 0.997706940494652, 'recall': 0.9978401727861771, 'f1-score': 0.9977207683396181, 'support': 1852.0}}                | 0.0022    | {'~HI': {'precision': 0.9962141698215251, 'recall': 0.9983739837398374, 'f1-score': 0.9972929074174337, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9946004319654428, 'macro avg': {'precision': 0.49810708491076255, 'recall': 0.4991869918699187, 'f1-score': 0.49864645370871685, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924487814906662, 'recall': 0.9946004319654428, 'f1-score': 0.9935234417846464, 'support': 1852.0}} | 0.0054     | {'~PL': {'precision': 0.9839690436705362, 'recall': 0.9877913429522752, 'f1-score': 0.9858764885073387, 'support': 1802.0}, 'PL': {'precision': 0.4883720930232558, 'recall': 0.42, 'f1-score': 0.45161290322580644, 'support': 50.0}, 'accuracy': 0.9724622030237581, 'macro avg': {'precision': 0.736170568346896, 'recall': 0.7038956714761376, 'f1-score': 0.7187446958665725, 'support': 1852.0}, 'weighted avg': {'precision': 0.9705889964068407, 'recall': 0.9724622030237581, 'f1-score': 0.9714525256217681, 'support': 1852.0}}   | 0.0275     | {'~TI': {'precision': 0.9777158774373259, 'recall': 0.9777158774373259, 'f1-score': 0.9777158774373259, 'support': 1795.0}, 'TI': {'precision': 0.2982456140350877, 'recall': 0.2982456140350877, 'f1-score': 0.2982456140350877, 'support': 57.0}, 'accuracy': 0.9568034557235421, 'macro avg': {'precision': 0.6379807457362068, 'recall': 0.6379807457362068, 'f1-score': 0.6379807457362068, 'support': 1852.0}, 'weighted avg': {'precision': 0.9568034557235421, 'recall': 0.9568034557235421, 'f1-score': 0.9568034557235421, 'support': 1852.0}}   | 0.0432     | {'~PC': {'precision': 0.9864572047670639, 'recall': 0.9972617743702081, 'f1-score': 0.9918300653594772, 'support': 1826.0}, 'PC': {'precision': 0.16666666666666666, 'recall': 0.038461538461538464, 'f1-score': 0.0625, 'support': 26.0}, 'accuracy': 0.9838012958963283, 'macro avg': {'precision': 0.5765619357168653, 'recall': 0.5178616564158733, 'f1-score': 0.5271650326797386, 'support': 1852.0}, 'weighted avg': {'precision': 0.9749482663272094, 'recall': 0.9838012958963283, 'f1-score': 0.9787833149818603, 'support': 1852.0}}              | 0.0162     | {'f1-score': 0.6679185838307651, 'hamming': 0.01869600431965443}  |
+| No log        | 32.0  | 288  | 0.1246          | {'~LIN': {'precision': 0.9907908992416035, 'recall': 0.9967302452316076, 'f1-score': 0.9937516979081771, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9875809935205183, 'macro avg': {'precision': 0.49539544962080173, 'recall': 0.4983651226158038, 'f1-score': 0.49687584895408854, 'support': 1852.0}, 'weighted avg': {'precision': 0.9816961663651957, 'recall': 0.9875809935205183, 'f1-score': 0.9846297870742468, 'support': 1852.0}}                                               | 0.0124      | {'~SI': {'precision': 0.9836512261580381, 'recall': 0.9950385887541345, 'f1-score': 0.9893121403124143, 'support': 1814.0}, 'SI': {'precision': 0.47058823529411764, 'recall': 0.21052631578947367, 'f1-score': 0.2909090909090909, 'support': 38.0}, 'accuracy': 0.9789416846652268, 'macro avg': {'precision': 0.7271197307260779, 'recall': 0.6027824522718042, 'f1-score': 0.6401106156107526, 'support': 1852.0}, 'weighted avg': {'precision': 0.9731240157623422, 'recall': 0.9789416846652268, 'f1-score': 0.9749820561453915, 'support': 1852.0}} | 0.0211     | {'~CL': {'precision': 0.9787860931054803, 'recall': 0.9940155595451825, 'f1-score': 0.9863420427553444, 'support': 1671.0}, 'CL': {'precision': 0.9354838709677419, 'recall': 0.8011049723756906, 'f1-score': 0.8630952380952381, 'support': 181.0}, 'accuracy': 0.9751619870410367, 'macro avg': {'precision': 0.9571349820366111, 'recall': 0.8975602659604365, 'f1-score': 0.9247186404252913, 'support': 1852.0}, 'weighted avg': {'precision': 0.9745540724753882, 'recall': 0.9751619870410367, 'f1-score': 0.9742968636821915, 'support': 1852.0}}   | 0.0248     | {'~D': {'precision': 0.9983722192078134, 'recall': 0.998914223669924, 'f1-score': 0.9986431478968792, 'support': 1842.0}, 'D': {'precision': 0.7777777777777778, 'recall': 0.7, 'f1-score': 0.7368421052631579, 'support': 10.0}, 'accuracy': 0.9973002159827213, 'macro avg': {'precision': 0.8880749984927956, 'recall': 0.849457111834962, 'f1-score': 0.8677426265800186, 'support': 1852.0}, 'weighted avg': {'precision': 0.9971811045132668, 'recall': 0.9973002159827213, 'f1-score': 0.9972295353556605, 'support': 1852.0}}  | 0.0027    | {'~HI': {'precision': 0.9962182603997839, 'recall': 0.9994579945799458, 'f1-score': 0.9978354978354979, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9956803455723542, 'macro avg': {'precision': 0.49810913019989195, 'recall': 0.4997289972899729, 'f1-score': 0.4989177489177489, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924528566077762, 'recall': 0.9956803455723542, 'f1-score': 0.9940639813749965, 'support': 1852.0}}  | 0.0043     | {'~PL': {'precision': 0.9792689579923622, 'recall': 0.9961154273029966, 'f1-score': 0.9876203576341128, 'support': 1802.0}, 'PL': {'precision': 0.631578947368421, 'recall': 0.24, 'f1-score': 0.34782608695652173, 'support': 50.0}, 'accuracy': 0.9757019438444925, 'macro avg': {'precision': 0.8054239526803917, 'recall': 0.6180577136514983, 'f1-score': 0.6677232222953173, 'support': 1852.0}, 'weighted avg': {'precision': 0.9698820786558627, 'recall': 0.9757019438444925, 'f1-score': 0.9703472941708948, 'support': 1852.0}}   | 0.0243     | {'~TI': {'precision': 0.9763215859030837, 'recall': 0.9877437325905293, 'f1-score': 0.9819994461368042, 'support': 1795.0}, 'TI': {'precision': 0.3888888888888889, 'recall': 0.24561403508771928, 'f1-score': 0.3010752688172043, 'support': 57.0}, 'accuracy': 0.964902807775378, 'macro avg': {'precision': 0.6826052373959863, 'recall': 0.6166788838391243, 'f1-score': 0.6415373574770042, 'support': 1852.0}, 'weighted avg': {'precision': 0.9582418538675497, 'recall': 0.964902807775378, 'f1-score': 0.9610422765324753, 'support': 1852.0}}    | 0.0351     | {'~PC': {'precision': 0.9864791779340184, 'recall': 0.9989047097480832, 'f1-score': 0.9926530612244898, 'support': 1826.0}, 'PC': {'precision': 0.3333333333333333, 'recall': 0.038461538461538464, 'f1-score': 0.06896551724137931, 'support': 26.0}, 'accuracy': 0.9854211663066955, 'macro avg': {'precision': 0.6599062556336759, 'recall': 0.5186831241048109, 'f1-score': 0.5308092892329346, 'support': 1852.0}, 'weighted avg': {'precision': 0.9773097438305531, 'recall': 0.9854211663066955, 'f1-score': 0.9796855255098241, 'support': 1852.0}}  | 0.0146     | {'f1-score': 0.6585544186866445, 'hamming': 0.017413606911447083} |
+| No log        | 33.0  | 297  | 0.1256          | {'~LIN': {'precision': 0.990770901194354, 'recall': 0.9945504087193461, 'f1-score': 0.9926570573837368, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9854211663066955, 'macro avg': {'precision': 0.495385450597177, 'recall': 0.49727520435967304, 'f1-score': 0.4963285286918684, 'support': 1852.0}, 'weighted avg': {'precision': 0.9816763518853345, 'recall': 0.9854211663066955, 'f1-score': 0.9835451945459811, 'support': 1852.0}}                                                  | 0.0146      | {'~SI': {'precision': 0.9825992387166939, 'recall': 0.996141124586549, 'f1-score': 0.9893238434163701, 'support': 1814.0}, 'SI': {'precision': 0.46153846153846156, 'recall': 0.15789473684210525, 'f1-score': 0.23529411764705882, 'support': 38.0}, 'accuracy': 0.9789416846652268, 'macro avg': {'precision': 0.7220688501275777, 'recall': 0.5770179307143272, 'f1-score': 0.6123089805317145, 'support': 1852.0}, 'weighted avg': {'precision': 0.9719079268739439, 'recall': 0.9789416846652268, 'f1-score': 0.9738523911597644, 'support': 1852.0}} | 0.0211     | {'~CL': {'precision': 0.9793875147232037, 'recall': 0.995212447636146, 'f1-score': 0.9872365687147522, 'support': 1671.0}, 'CL': {'precision': 0.948051948051948, 'recall': 0.8066298342541437, 'f1-score': 0.8716417910447761, 'support': 181.0}, 'accuracy': 0.9767818574514039, 'macro avg': {'precision': 0.9637197313875758, 'recall': 0.9009211409451449, 'f1-score': 0.9294391798797641, 'support': 1852.0}, 'weighted avg': {'precision': 0.9763250214362181, 'recall': 0.9767818574514039, 'f1-score': 0.9759392389316713, 'support': 1852.0}}     | 0.0232     | {'~D': {'precision': 0.9983722192078134, 'recall': 0.998914223669924, 'f1-score': 0.9986431478968792, 'support': 1842.0}, 'D': {'precision': 0.7777777777777778, 'recall': 0.7, 'f1-score': 0.7368421052631579, 'support': 10.0}, 'accuracy': 0.9973002159827213, 'macro avg': {'precision': 0.8880749984927956, 'recall': 0.849457111834962, 'f1-score': 0.8677426265800186, 'support': 1852.0}, 'weighted avg': {'precision': 0.9971811045132668, 'recall': 0.9973002159827213, 'f1-score': 0.9972295353556605, 'support': 1852.0}}  | 0.0027    | {'~HI': {'precision': 0.9962182603997839, 'recall': 0.9994579945799458, 'f1-score': 0.9978354978354979, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9956803455723542, 'macro avg': {'precision': 0.49810913019989195, 'recall': 0.4997289972899729, 'f1-score': 0.4989177489177489, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924528566077762, 'recall': 0.9956803455723542, 'f1-score': 0.9940639813749965, 'support': 1852.0}}  | 0.0043     | {'~PL': {'precision': 0.9803171131765992, 'recall': 0.9950055493895672, 'f1-score': 0.98760671991187, 'support': 1802.0}, 'PL': {'precision': 0.6086956521739131, 'recall': 0.28, 'f1-score': 0.3835616438356164, 'support': 50.0}, 'accuracy': 0.9757019438444925, 'macro avg': {'precision': 0.7945063826752561, 'recall': 0.6375027746947837, 'f1-score': 0.6855841818737431, 'support': 1852.0}, 'weighted avg': {'precision': 0.9702841363676714, 'recall': 0.9757019438444925, 'f1-score': 0.9712988074908048, 'support': 1852.0}}     | 0.0243     | {'~TI': {'precision': 0.9784530386740331, 'recall': 0.9866295264623955, 'f1-score': 0.9825242718446602, 'support': 1795.0}, 'TI': {'precision': 0.42857142857142855, 'recall': 0.3157894736842105, 'f1-score': 0.36363636363636365, 'support': 57.0}, 'accuracy': 0.9659827213822895, 'macro avg': {'precision': 0.7035122336227309, 'recall': 0.651209500073303, 'f1-score': 0.6730803177405119, 'support': 1852.0}, 'weighted avg': {'precision': 0.961529036635238, 'recall': 0.9659827213822895, 'f1-score': 0.9634764258576878, 'support': 1852.0}}   | 0.0340     | {'~PC': {'precision': 0.9864718614718615, 'recall': 0.9983570646221248, 'f1-score': 0.9923788786064235, 'support': 1826.0}, 'PC': {'precision': 0.25, 'recall': 0.038461538461538464, 'f1-score': 0.06666666666666667, 'support': 26.0}, 'accuracy': 0.9848812095032398, 'macro avg': {'precision': 0.6182359307359307, 'recall': 0.5184093015418316, 'f1-score': 0.5295227726365451, 'support': 1852.0}, 'weighted avg': {'precision': 0.9761326236758202, 'recall': 0.9848812095032398, 'f1-score': 0.9793829188275717, 'support': 1852.0}}                | 0.0151     | {'f1-score': 0.6616155421064893, 'hamming': 0.017413606911447083} |
+| No log        | 34.0  | 306  | 0.1285          | {'~LIN': {'precision': 0.9908058409951325, 'recall': 0.9983651226158038, 'f1-score': 0.99457111834962, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9892008639308856, 'macro avg': {'precision': 0.49540292049756623, 'recall': 0.4991825613079019, 'f1-score': 0.49728555917481, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817109709643996, 'recall': 0.9892008639308856, 'f1-score': 0.9854416858377715, 'support': 1852.0}}                                                    | 0.0108      | {'~SI': {'precision': 0.9821041214750542, 'recall': 0.9983461962513782, 'f1-score': 0.9901585565882997, 'support': 1814.0}, 'SI': {'precision': 0.625, 'recall': 0.13157894736842105, 'f1-score': 0.21739130434782608, 'support': 38.0}, 'accuracy': 0.980561555075594, 'macro avg': {'precision': 0.803552060737527, 'recall': 0.5649625718098996, 'f1-score': 0.6037749304680629, 'support': 1852.0}, 'weighted avg': {'precision': 0.9747769310776179, 'recall': 0.980561555075594, 'f1-score': 0.9743026410455686, 'support': 1852.0}}                 | 0.0194     | {'~CL': {'precision': 0.9788110653325486, 'recall': 0.995212447636146, 'f1-score': 0.9869436201780415, 'support': 1671.0}, 'CL': {'precision': 0.9477124183006536, 'recall': 0.8011049723756906, 'f1-score': 0.8682634730538922, 'support': 181.0}, 'accuracy': 0.9762419006479481, 'macro avg': {'precision': 0.9632617418166011, 'recall': 0.8981587100059183, 'f1-score': 0.9276035466159669, 'support': 1852.0}, 'weighted avg': {'precision': 0.9757717267187404, 'recall': 0.9762419006479481, 'f1-score': 0.9753447505077008, 'support': 1852.0}}    | 0.0238     | {'~D': {'precision': 0.9983722192078134, 'recall': 0.998914223669924, 'f1-score': 0.9986431478968792, 'support': 1842.0}, 'D': {'precision': 0.7777777777777778, 'recall': 0.7, 'f1-score': 0.7368421052631579, 'support': 10.0}, 'accuracy': 0.9973002159827213, 'macro avg': {'precision': 0.8880749984927956, 'recall': 0.849457111834962, 'f1-score': 0.8677426265800186, 'support': 1852.0}, 'weighted avg': {'precision': 0.9971811045132668, 'recall': 0.9973002159827213, 'f1-score': 0.9972295353556605, 'support': 1852.0}}  | 0.0027    | {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}                               | 0.0038     | {'~PL': {'precision': 0.9814106068890104, 'recall': 0.9961154273029966, 'f1-score': 0.9887083448085927, 'support': 1802.0}, 'PL': {'precision': 0.6956521739130435, 'recall': 0.32, 'f1-score': 0.4383561643835616, 'support': 50.0}, 'accuracy': 0.9778617710583153, 'macro avg': {'precision': 0.838531390401027, 'recall': 0.6580577136514983, 'f1-score': 0.7135322545960772, 'support': 1852.0}, 'weighted avg': {'precision': 0.9736957463874995, 'recall': 0.9778617710583153, 'f1-score': 0.9738500246027334, 'support': 1852.0}}    | 0.0221     | {'~TI': {'precision': 0.9763346175013758, 'recall': 0.9883008356545961, 'f1-score': 0.982281284606866, 'support': 1795.0}, 'TI': {'precision': 0.4, 'recall': 0.24561403508771928, 'f1-score': 0.30434782608695654, 'support': 57.0}, 'accuracy': 0.9654427645788337, 'macro avg': {'precision': 0.6881673087506879, 'recall': 0.6169574353711578, 'f1-score': 0.6433145553469113, 'support': 1852.0}, 'weighted avg': {'precision': 0.9585964570275214, 'recall': 0.9654427645788337, 'f1-score': 0.9614161619634346, 'support': 1852.0}}                 | 0.0346     | {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}}                   | 0.0157     | {'f1-score': 0.6600771371365608, 'hamming': 0.0166036717062635}   |
+| No log        | 35.0  | 315  | 0.1263          | {'~LIN': {'precision': 0.9908058409951325, 'recall': 0.9983651226158038, 'f1-score': 0.99457111834962, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9892008639308856, 'macro avg': {'precision': 0.49540292049756623, 'recall': 0.4991825613079019, 'f1-score': 0.49728555917481, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817109709643996, 'recall': 0.9892008639308856, 'f1-score': 0.9854416858377715, 'support': 1852.0}}                                                    | 0.0108      | {'~SI': {'precision': 0.9831338411316648, 'recall': 0.996141124586549, 'f1-score': 0.9895947426067908, 'support': 1814.0}, 'SI': {'precision': 0.5, 'recall': 0.18421052631578946, 'f1-score': 0.2692307692307692, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.7415669205658324, 'recall': 0.5901758254511692, 'f1-score': 0.62941275591878, 'support': 1852.0}, 'weighted avg': {'precision': 0.9732207277607127, 'recall': 0.9794816414686826, 'f1-score': 0.9748140563280171, 'support': 1852.0}}                    | 0.0205     | {'~CL': {'precision': 0.9810874704491725, 'recall': 0.9934171154997008, 'f1-score': 0.9872137972048766, 'support': 1671.0}, 'CL': {'precision': 0.93125, 'recall': 0.8232044198895028, 'f1-score': 0.873900293255132, 'support': 181.0}, 'accuracy': 0.9767818574514039, 'macro avg': {'precision': 0.9561687352245862, 'recall': 0.9083107676946018, 'f1-score': 0.9305570452300043, 'support': 1852.0}, 'weighted avg': {'precision': 0.9762167457454467, 'recall': 0.9767818574514039, 'f1-score': 0.9761394212789026, 'support': 1852.0}}               | 0.0232     | {'~D': {'precision': 0.9983722192078134, 'recall': 0.998914223669924, 'f1-score': 0.9986431478968792, 'support': 1842.0}, 'D': {'precision': 0.7777777777777778, 'recall': 0.7, 'f1-score': 0.7368421052631579, 'support': 10.0}, 'accuracy': 0.9973002159827213, 'macro avg': {'precision': 0.8880749984927956, 'recall': 0.849457111834962, 'f1-score': 0.8677426265800186, 'support': 1852.0}, 'weighted avg': {'precision': 0.9971811045132668, 'recall': 0.9973002159827213, 'f1-score': 0.9972295353556605, 'support': 1852.0}}  | 0.0027    | {'~HI': {'precision': 0.9962182603997839, 'recall': 0.9994579945799458, 'f1-score': 0.9978354978354979, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9956803455723542, 'macro avg': {'precision': 0.49810913019989195, 'recall': 0.4997289972899729, 'f1-score': 0.4989177489177489, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924528566077762, 'recall': 0.9956803455723542, 'f1-score': 0.9940639813749965, 'support': 1852.0}}  | 0.0043     | {'~PL': {'precision': 0.9808847624249044, 'recall': 0.9966703662597114, 'f1-score': 0.9887145609688962, 'support': 1802.0}, 'PL': {'precision': 0.7142857142857143, 'recall': 0.3, 'f1-score': 0.4225352112676056, 'support': 50.0}, 'accuracy': 0.9778617710583153, 'macro avg': {'precision': 0.8475852383553093, 'recall': 0.6483351831298557, 'f1-score': 0.7056248861182509, 'support': 1852.0}, 'weighted avg': {'precision': 0.9736871639330257, 'recall': 0.9778617710583153, 'f1-score': 0.9734289413765288, 'support': 1852.0}}    | 0.0221     | {'~TI': {'precision': 0.9768467475192943, 'recall': 0.9871866295264624, 'f1-score': 0.9819894707675256, 'support': 1795.0}, 'TI': {'precision': 0.39473684210526316, 'recall': 0.2631578947368421, 'f1-score': 0.3157894736842105, 'support': 57.0}, 'accuracy': 0.964902807775378, 'macro avg': {'precision': 0.6857917948122787, 'recall': 0.6251722621316522, 'f1-score': 0.648889472225868, 'support': 1852.0}, 'weighted avg': {'precision': 0.9589308379034197, 'recall': 0.964902807775378, 'f1-score': 0.9614854751769484, 'support': 1852.0}}     | 0.0351     | {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}}                   | 0.0157     | {'f1-score': 0.6633425540034561, 'hamming': 0.016806155507559394} |
+| No log        | 36.0  | 324  | 0.1271          | {'~LIN': {'precision': 0.9908058409951325, 'recall': 0.9983651226158038, 'f1-score': 0.99457111834962, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9892008639308856, 'macro avg': {'precision': 0.49540292049756623, 'recall': 0.4991825613079019, 'f1-score': 0.49728555917481, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817109709643996, 'recall': 0.9892008639308856, 'f1-score': 0.9854416858377715, 'support': 1852.0}}                                                    | 0.0108      | {'~SI': {'precision': 0.9826086956521739, 'recall': 0.9966923925027563, 'f1-score': 0.9896004378762999, 'support': 1814.0}, 'SI': {'precision': 0.5, 'recall': 0.15789473684210525, 'f1-score': 0.24, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.741304347826087, 'recall': 0.5772935646724308, 'f1-score': 0.61480021893815, 'support': 1852.0}, 'weighted avg': {'precision': 0.9727063574044511, 'recall': 0.9794816414686826, 'f1-score': 0.9742198673367214, 'support': 1852.0}}                                  | 0.0205     | {'~CL': {'precision': 0.980507974010632, 'recall': 0.9934171154997008, 'f1-score': 0.9869203329369798, 'support': 1671.0}, 'CL': {'precision': 0.9308176100628931, 'recall': 0.8176795580110497, 'f1-score': 0.8705882352941177, 'support': 181.0}, 'accuracy': 0.9762419006479481, 'macro avg': {'precision': 0.9556627920367626, 'recall': 0.9055483367553753, 'f1-score': 0.9287542841155487, 'support': 1852.0}, 'weighted avg': {'precision': 0.9756516263461932, 'recall': 0.9762419006479481, 'f1-score': 0.9755509432645402, 'support': 1852.0}}    | 0.0238     | {'~D': {'precision': 0.9983722192078134, 'recall': 0.998914223669924, 'f1-score': 0.9986431478968792, 'support': 1842.0}, 'D': {'precision': 0.7777777777777778, 'recall': 0.7, 'f1-score': 0.7368421052631579, 'support': 10.0}, 'accuracy': 0.9973002159827213, 'macro avg': {'precision': 0.8880749984927956, 'recall': 0.849457111834962, 'f1-score': 0.8677426265800186, 'support': 1852.0}, 'weighted avg': {'precision': 0.9971811045132668, 'recall': 0.9973002159827213, 'f1-score': 0.9972295353556605, 'support': 1852.0}}  | 0.0027    | {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}                               | 0.0038     | {'~PL': {'precision': 0.9808847624249044, 'recall': 0.9966703662597114, 'f1-score': 0.9887145609688962, 'support': 1802.0}, 'PL': {'precision': 0.7142857142857143, 'recall': 0.3, 'f1-score': 0.4225352112676056, 'support': 50.0}, 'accuracy': 0.9778617710583153, 'macro avg': {'precision': 0.8475852383553093, 'recall': 0.6483351831298557, 'f1-score': 0.7056248861182509, 'support': 1852.0}, 'weighted avg': {'precision': 0.9736871639330257, 'recall': 0.9778617710583153, 'f1-score': 0.9734289413765288, 'support': 1852.0}}    | 0.0221     | {'~TI': {'precision': 0.9773855488141202, 'recall': 0.9871866295264624, 'f1-score': 0.9822616407982262, 'support': 1795.0}, 'TI': {'precision': 0.41025641025641024, 'recall': 0.2807017543859649, 'f1-score': 0.3333333333333333, 'support': 57.0}, 'accuracy': 0.9654427645788337, 'macro avg': {'precision': 0.6938209795352652, 'recall': 0.6339441919562137, 'f1-score': 0.6577974870657798, 'support': 1852.0}, 'weighted avg': {'precision': 0.9599307103163938, 'recall': 0.9654427645788337, 'f1-score': 0.9622892252876977, 'support': 1852.0}}  | 0.0346     | {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}}                   | 0.0157     | {'f1-score': 0.6624210857878996, 'hamming': 0.01673866090712743}  |
+| No log        | 37.0  | 333  | 0.1280          | {'~LIN': {'precision': 0.9908058409951325, 'recall': 0.9983651226158038, 'f1-score': 0.99457111834962, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9892008639308856, 'macro avg': {'precision': 0.49540292049756623, 'recall': 0.4991825613079019, 'f1-score': 0.49728555917481, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817109709643996, 'recall': 0.9892008639308856, 'f1-score': 0.9854416858377715, 'support': 1852.0}}                                                    | 0.0108      | {'~SI': {'precision': 0.9826181423139598, 'recall': 0.9972436604189636, 'f1-score': 0.9898768809849521, 'support': 1814.0}, 'SI': {'precision': 0.5454545454545454, 'recall': 0.15789473684210525, 'f1-score': 0.24489795918367346, 'support': 38.0}, 'accuracy': 0.9800215982721382, 'macro avg': {'precision': 0.7640363438842526, 'recall': 0.5775691986305345, 'f1-score': 0.6173874200843128, 'support': 1852.0}, 'weighted avg': {'precision': 0.973648262896758, 'recall': 0.9800215982721382, 'f1-score': 0.9745911363691592, 'support': 1852.0}}  | 0.0200     | {'~CL': {'precision': 0.9799528301886793, 'recall': 0.9946140035906643, 'f1-score': 0.9872289872289872, 'support': 1671.0}, 'CL': {'precision': 0.9423076923076923, 'recall': 0.8121546961325967, 'f1-score': 0.8724035608308606, 'support': 181.0}, 'accuracy': 0.9767818574514039, 'macro avg': {'precision': 0.9611302612481858, 'recall': 0.9033843498616305, 'f1-score': 0.9298162740299238, 'support': 1852.0}, 'weighted avg': {'precision': 0.9762736887435073, 'recall': 0.9767818574514039, 'f1-score': 0.9760068478239867, 'support': 1852.0}}   | 0.0232     | {'~D': {'precision': 0.9983722192078134, 'recall': 0.998914223669924, 'f1-score': 0.9986431478968792, 'support': 1842.0}, 'D': {'precision': 0.7777777777777778, 'recall': 0.7, 'f1-score': 0.7368421052631579, 'support': 10.0}, 'accuracy': 0.9973002159827213, 'macro avg': {'precision': 0.8880749984927956, 'recall': 0.849457111834962, 'f1-score': 0.8677426265800186, 'support': 1852.0}, 'weighted avg': {'precision': 0.9971811045132668, 'recall': 0.9973002159827213, 'f1-score': 0.9972295353556605, 'support': 1852.0}}  | 0.0027    | {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}                               | 0.0038     | {'~PL': {'precision': 0.9808847624249044, 'recall': 0.9966703662597114, 'f1-score': 0.9887145609688962, 'support': 1802.0}, 'PL': {'precision': 0.7142857142857143, 'recall': 0.3, 'f1-score': 0.4225352112676056, 'support': 50.0}, 'accuracy': 0.9778617710583153, 'macro avg': {'precision': 0.8475852383553093, 'recall': 0.6483351831298557, 'f1-score': 0.7056248861182509, 'support': 1852.0}, 'weighted avg': {'precision': 0.9736871639330257, 'recall': 0.9778617710583153, 'f1-score': 0.9734289413765288, 'support': 1852.0}}    | 0.0221     | {'~TI': {'precision': 0.9773730684326711, 'recall': 0.9866295264623955, 'f1-score': 0.9819794843360133, 'support': 1795.0}, 'TI': {'precision': 0.4, 'recall': 0.2807017543859649, 'f1-score': 0.32989690721649484, 'support': 57.0}, 'accuracy': 0.964902807775378, 'macro avg': {'precision': 0.6886865342163355, 'recall': 0.6336656404241803, 'f1-score': 0.6559381957762541, 'support': 1852.0}, 'weighted avg': {'precision': 0.9596029469960284, 'recall': 0.964902807775378, 'f1-score': 0.9619099881719677, 'support': 1852.0}}                   | 0.0351     | {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}}                   | 0.0157     | {'f1-score': 0.6626448232592762, 'hamming': 0.016671166306695462} |
+| No log        | 38.0  | 342  | 0.1284          | {'~LIN': {'precision': 0.9908008658008658, 'recall': 0.9978201634877384, 'f1-score': 0.9942981265272876, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9886609071274298, 'macro avg': {'precision': 0.4954004329004329, 'recall': 0.4989100817438692, 'f1-score': 0.4971490632636438, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817060414387628, 'recall': 0.9886609071274298, 'f1-score': 0.9851711998798988, 'support': 1852.0}}                                                 | 0.0113      | {'~SI': {'precision': 0.9826086956521739, 'recall': 0.9966923925027563, 'f1-score': 0.9896004378762999, 'support': 1814.0}, 'SI': {'precision': 0.5, 'recall': 0.15789473684210525, 'f1-score': 0.24, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.741304347826087, 'recall': 0.5772935646724308, 'f1-score': 0.61480021893815, 'support': 1852.0}, 'weighted avg': {'precision': 0.9727063574044511, 'recall': 0.9794816414686826, 'f1-score': 0.9742198673367214, 'support': 1852.0}}                                  | 0.0205     | {'~CL': {'precision': 0.9799528301886793, 'recall': 0.9946140035906643, 'f1-score': 0.9872289872289872, 'support': 1671.0}, 'CL': {'precision': 0.9423076923076923, 'recall': 0.8121546961325967, 'f1-score': 0.8724035608308606, 'support': 181.0}, 'accuracy': 0.9767818574514039, 'macro avg': {'precision': 0.9611302612481858, 'recall': 0.9033843498616305, 'f1-score': 0.9298162740299238, 'support': 1852.0}, 'weighted avg': {'precision': 0.9762736887435073, 'recall': 0.9767818574514039, 'f1-score': 0.9760068478239867, 'support': 1852.0}}   | 0.0232     | {'~D': {'precision': 0.9983722192078134, 'recall': 0.998914223669924, 'f1-score': 0.9986431478968792, 'support': 1842.0}, 'D': {'precision': 0.7777777777777778, 'recall': 0.7, 'f1-score': 0.7368421052631579, 'support': 10.0}, 'accuracy': 0.9973002159827213, 'macro avg': {'precision': 0.8880749984927956, 'recall': 0.849457111834962, 'f1-score': 0.8677426265800186, 'support': 1852.0}, 'weighted avg': {'precision': 0.9971811045132668, 'recall': 0.9973002159827213, 'f1-score': 0.9972295353556605, 'support': 1852.0}}  | 0.0027    | {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}                               | 0.0038     | {'~PL': {'precision': 0.9808847624249044, 'recall': 0.9966703662597114, 'f1-score': 0.9887145609688962, 'support': 1802.0}, 'PL': {'precision': 0.7142857142857143, 'recall': 0.3, 'f1-score': 0.4225352112676056, 'support': 50.0}, 'accuracy': 0.9778617710583153, 'macro avg': {'precision': 0.8475852383553093, 'recall': 0.6483351831298557, 'f1-score': 0.7056248861182509, 'support': 1852.0}, 'weighted avg': {'precision': 0.9736871639330257, 'recall': 0.9778617710583153, 'f1-score': 0.9734289413765288, 'support': 1852.0}}    | 0.0221     | {'~TI': {'precision': 0.9773730684326711, 'recall': 0.9866295264623955, 'f1-score': 0.9819794843360133, 'support': 1795.0}, 'TI': {'precision': 0.4, 'recall': 0.2807017543859649, 'f1-score': 0.32989690721649484, 'support': 57.0}, 'accuracy': 0.964902807775378, 'macro avg': {'precision': 0.6886865342163355, 'recall': 0.6336656404241803, 'f1-score': 0.6559381957762541, 'support': 1852.0}, 'weighted avg': {'precision': 0.9596029469960284, 'recall': 0.964902807775378, 'f1-score': 0.9619099881719677, 'support': 1852.0}}                   | 0.0351     | {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}}                   | 0.0157     | {'f1-score': 0.6623043611271101, 'hamming': 0.016806155507559394} |
+| No log        | 39.0  | 351  | 0.1291          | {'~LIN': {'precision': 0.9908058409951325, 'recall': 0.9983651226158038, 'f1-score': 0.99457111834962, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9892008639308856, 'macro avg': {'precision': 0.49540292049756623, 'recall': 0.4991825613079019, 'f1-score': 0.49728555917481, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817109709643996, 'recall': 0.9892008639308856, 'f1-score': 0.9854416858377715, 'support': 1852.0}}                                                    | 0.0108      | {'~SI': {'precision': 0.9826086956521739, 'recall': 0.9966923925027563, 'f1-score': 0.9896004378762999, 'support': 1814.0}, 'SI': {'precision': 0.5, 'recall': 0.15789473684210525, 'f1-score': 0.24, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.741304347826087, 'recall': 0.5772935646724308, 'f1-score': 0.61480021893815, 'support': 1852.0}, 'weighted avg': {'precision': 0.9727063574044511, 'recall': 0.9794816414686826, 'f1-score': 0.9742198673367214, 'support': 1852.0}}                                  | 0.0205     | {'~CL': {'precision': 0.9799528301886793, 'recall': 0.9946140035906643, 'f1-score': 0.9872289872289872, 'support': 1671.0}, 'CL': {'precision': 0.9423076923076923, 'recall': 0.8121546961325967, 'f1-score': 0.8724035608308606, 'support': 181.0}, 'accuracy': 0.9767818574514039, 'macro avg': {'precision': 0.9611302612481858, 'recall': 0.9033843498616305, 'f1-score': 0.9298162740299238, 'support': 1852.0}, 'weighted avg': {'precision': 0.9762736887435073, 'recall': 0.9767818574514039, 'f1-score': 0.9760068478239867, 'support': 1852.0}}   | 0.0232     | {'~D': {'precision': 0.9983722192078134, 'recall': 0.998914223669924, 'f1-score': 0.9986431478968792, 'support': 1842.0}, 'D': {'precision': 0.7777777777777778, 'recall': 0.7, 'f1-score': 0.7368421052631579, 'support': 10.0}, 'accuracy': 0.9973002159827213, 'macro avg': {'precision': 0.8880749984927956, 'recall': 0.849457111834962, 'f1-score': 0.8677426265800186, 'support': 1852.0}, 'weighted avg': {'precision': 0.9971811045132668, 'recall': 0.9973002159827213, 'f1-score': 0.9972295353556605, 'support': 1852.0}}  | 0.0027    | {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}                               | 0.0038     | {'~PL': {'precision': 0.9814207650273225, 'recall': 0.9966703662597114, 'f1-score': 0.9889867841409692, 'support': 1802.0}, 'PL': {'precision': 0.7272727272727273, 'recall': 0.32, 'f1-score': 0.4444444444444444, 'support': 50.0}, 'accuracy': 0.978401727861771, 'macro avg': {'precision': 0.8543467461500249, 'recall': 0.6583351831298557, 'f1-score': 0.7167156142927068, 'support': 1852.0}, 'weighted avg': {'precision': 0.9745593169237966, 'recall': 0.978401727861771, 'f1-score': 0.9742853170865273, 'support': 1852.0}}     | 0.0216     | {'~TI': {'precision': 0.9773855488141202, 'recall': 0.9871866295264624, 'f1-score': 0.9822616407982262, 'support': 1795.0}, 'TI': {'precision': 0.41025641025641024, 'recall': 0.2807017543859649, 'f1-score': 0.3333333333333333, 'support': 57.0}, 'accuracy': 0.9654427645788337, 'macro avg': {'precision': 0.6938209795352652, 'recall': 0.6339441919562137, 'f1-score': 0.6577974870657798, 'support': 1852.0}, 'weighted avg': {'precision': 0.9599307103163938, 'recall': 0.9654427645788337, 'f1-score': 0.9622892252876977, 'support': 1852.0}}  | 0.0346     | {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}}                   | 0.0157     | {'f1-score': 0.6639401755490035, 'hamming': 0.0166036717062635}   |
+| No log        | 40.0  | 360  | 0.1292          | {'~LIN': {'precision': 0.9908058409951325, 'recall': 0.9983651226158038, 'f1-score': 0.99457111834962, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9892008639308856, 'macro avg': {'precision': 0.49540292049756623, 'recall': 0.4991825613079019, 'f1-score': 0.49728555917481, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817109709643996, 'recall': 0.9892008639308856, 'f1-score': 0.9854416858377715, 'support': 1852.0}}                                                    | 0.0108      | {'~SI': {'precision': 0.9826086956521739, 'recall': 0.9966923925027563, 'f1-score': 0.9896004378762999, 'support': 1814.0}, 'SI': {'precision': 0.5, 'recall': 0.15789473684210525, 'f1-score': 0.24, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.741304347826087, 'recall': 0.5772935646724308, 'f1-score': 0.61480021893815, 'support': 1852.0}, 'weighted avg': {'precision': 0.9727063574044511, 'recall': 0.9794816414686826, 'f1-score': 0.9742198673367214, 'support': 1852.0}}                                  | 0.0205     | {'~CL': {'precision': 0.9805424528301887, 'recall': 0.995212447636146, 'f1-score': 0.9878229878229878, 'support': 1671.0}, 'CL': {'precision': 0.9487179487179487, 'recall': 0.8176795580110497, 'f1-score': 0.8783382789317508, 'support': 181.0}, 'accuracy': 0.9778617710583153, 'macro avg': {'precision': 0.9646302007740687, 'recall': 0.9064460028235979, 'f1-score': 0.9330806333773694, 'support': 1852.0}, 'weighted avg': {'precision': 0.9774321746205151, 'recall': 0.9778617710583153, 'f1-score': 0.977122808390313, 'support': 1852.0}}     | 0.0221     | {'~D': {'precision': 0.9983731019522777, 'recall': 0.999457111834962, 'f1-score': 0.9989148128052089, 'support': 1842.0}, 'D': {'precision': 0.875, 'recall': 0.7, 'f1-score': 0.7777777777777778, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9366865509761388, 'recall': 0.849728555917481, 'f1-score': 0.8883462952914933, 'support': 1852.0}, 'weighted avg': {'precision': 0.997706940494652, 'recall': 0.9978401727861771, 'f1-score': 0.9977207683396181, 'support': 1852.0}}                | 0.0022    | {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}                               | 0.0038     | {'~PL': {'precision': 0.9814207650273225, 'recall': 0.9966703662597114, 'f1-score': 0.9889867841409692, 'support': 1802.0}, 'PL': {'precision': 0.7272727272727273, 'recall': 0.32, 'f1-score': 0.4444444444444444, 'support': 50.0}, 'accuracy': 0.978401727861771, 'macro avg': {'precision': 0.8543467461500249, 'recall': 0.6583351831298557, 'f1-score': 0.7167156142927068, 'support': 1852.0}, 'weighted avg': {'precision': 0.9745593169237966, 'recall': 0.978401727861771, 'f1-score': 0.9742853170865273, 'support': 1852.0}}     | 0.0216     | {'~TI': {'precision': 0.9773855488141202, 'recall': 0.9871866295264624, 'f1-score': 0.9822616407982262, 'support': 1795.0}, 'TI': {'precision': 0.41025641025641024, 'recall': 0.2807017543859649, 'f1-score': 0.3333333333333333, 'support': 57.0}, 'accuracy': 0.9654427645788337, 'macro avg': {'precision': 0.6938209795352652, 'recall': 0.6339441919562137, 'f1-score': 0.6577974870657798, 'support': 1852.0}, 'weighted avg': {'precision': 0.9599307103163938, 'recall': 0.9654427645788337, 'f1-score': 0.9622892252876977, 'support': 1852.0}}  | 0.0346     | {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}}                   | 0.0157     | {'f1-score': 0.6669236790563686, 'hamming': 0.016401187904967602} |
+| No log        | 41.0  | 369  | 0.1293          | {'~LIN': {'precision': 0.9908008658008658, 'recall': 0.9978201634877384, 'f1-score': 0.9942981265272876, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9886609071274298, 'macro avg': {'precision': 0.4954004329004329, 'recall': 0.4989100817438692, 'f1-score': 0.4971490632636438, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817060414387628, 'recall': 0.9886609071274298, 'f1-score': 0.9851711998798988, 'support': 1852.0}}                                                 | 0.0113      | {'~SI': {'precision': 0.9826086956521739, 'recall': 0.9966923925027563, 'f1-score': 0.9896004378762999, 'support': 1814.0}, 'SI': {'precision': 0.5, 'recall': 0.15789473684210525, 'f1-score': 0.24, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.741304347826087, 'recall': 0.5772935646724308, 'f1-score': 0.61480021893815, 'support': 1852.0}, 'weighted avg': {'precision': 0.9727063574044511, 'recall': 0.9794816414686826, 'f1-score': 0.9742198673367214, 'support': 1852.0}}                                  | 0.0205     | {'~CL': {'precision': 0.9805309734513274, 'recall': 0.9946140035906643, 'f1-score': 0.9875222816399287, 'support': 1671.0}, 'CL': {'precision': 0.9426751592356688, 'recall': 0.8176795580110497, 'f1-score': 0.8757396449704142, 'support': 181.0}, 'accuracy': 0.9773218142548596, 'macro avg': {'precision': 0.9616030663434981, 'recall': 0.906146780800857, 'f1-score': 0.9316309633051715, 'support': 1852.0}, 'weighted avg': {'precision': 0.9768312421483932, 'recall': 0.9773218142548596, 'f1-score': 0.9765975207127245, 'support': 1852.0}}    | 0.0227     | {'~D': {'precision': 0.9983731019522777, 'recall': 0.999457111834962, 'f1-score': 0.9989148128052089, 'support': 1842.0}, 'D': {'precision': 0.875, 'recall': 0.7, 'f1-score': 0.7777777777777778, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9366865509761388, 'recall': 0.849728555917481, 'f1-score': 0.8883462952914933, 'support': 1852.0}, 'weighted avg': {'precision': 0.997706940494652, 'recall': 0.9978401727861771, 'f1-score': 0.9977207683396181, 'support': 1852.0}}                | 0.0022    | {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}                               | 0.0038     | {'~PL': {'precision': 0.9808847624249044, 'recall': 0.9966703662597114, 'f1-score': 0.9887145609688962, 'support': 1802.0}, 'PL': {'precision': 0.7142857142857143, 'recall': 0.3, 'f1-score': 0.4225352112676056, 'support': 50.0}, 'accuracy': 0.9778617710583153, 'macro avg': {'precision': 0.8475852383553093, 'recall': 0.6483351831298557, 'f1-score': 0.7056248861182509, 'support': 1852.0}, 'weighted avg': {'precision': 0.9736871639330257, 'recall': 0.9778617710583153, 'f1-score': 0.9734289413765288, 'support': 1852.0}}    | 0.0221     | {'~TI': {'precision': 0.9773980154355016, 'recall': 0.9877437325905293, 'f1-score': 0.9825436408977556, 'support': 1795.0}, 'TI': {'precision': 0.42105263157894735, 'recall': 0.2807017543859649, 'f1-score': 0.3368421052631579, 'support': 57.0}, 'accuracy': 0.9659827213822895, 'macro avg': {'precision': 0.6992253235072245, 'recall': 0.634222743488247, 'f1-score': 0.6596928730804568, 'support': 1852.0}, 'weighted avg': {'precision': 0.9602750743556833, 'recall': 0.9659827213822895, 'f1-score': 0.9626705374791962, 'support': 1852.0}}   | 0.0340     | {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}}                   | 0.0157     | {'f1-score': 0.6655759905384757, 'hamming': 0.016536177105831534} |
+| No log        | 42.0  | 378  | 0.1297          | {'~LIN': {'precision': 0.9908008658008658, 'recall': 0.9978201634877384, 'f1-score': 0.9942981265272876, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9886609071274298, 'macro avg': {'precision': 0.4954004329004329, 'recall': 0.4989100817438692, 'f1-score': 0.4971490632636438, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817060414387628, 'recall': 0.9886609071274298, 'f1-score': 0.9851711998798988, 'support': 1852.0}}                                                 | 0.0113      | {'~SI': {'precision': 0.9826086956521739, 'recall': 0.9966923925027563, 'f1-score': 0.9896004378762999, 'support': 1814.0}, 'SI': {'precision': 0.5, 'recall': 0.15789473684210525, 'f1-score': 0.24, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.741304347826087, 'recall': 0.5772935646724308, 'f1-score': 0.61480021893815, 'support': 1852.0}, 'weighted avg': {'precision': 0.9727063574044511, 'recall': 0.9794816414686826, 'f1-score': 0.9742198673367214, 'support': 1852.0}}                                  | 0.0205     | {'~CL': {'precision': 0.9805309734513274, 'recall': 0.9946140035906643, 'f1-score': 0.9875222816399287, 'support': 1671.0}, 'CL': {'precision': 0.9426751592356688, 'recall': 0.8176795580110497, 'f1-score': 0.8757396449704142, 'support': 181.0}, 'accuracy': 0.9773218142548596, 'macro avg': {'precision': 0.9616030663434981, 'recall': 0.906146780800857, 'f1-score': 0.9316309633051715, 'support': 1852.0}, 'weighted avg': {'precision': 0.9768312421483932, 'recall': 0.9773218142548596, 'f1-score': 0.9765975207127245, 'support': 1852.0}}    | 0.0227     | {'~D': {'precision': 0.9983731019522777, 'recall': 0.999457111834962, 'f1-score': 0.9989148128052089, 'support': 1842.0}, 'D': {'precision': 0.875, 'recall': 0.7, 'f1-score': 0.7777777777777778, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9366865509761388, 'recall': 0.849728555917481, 'f1-score': 0.8883462952914933, 'support': 1852.0}, 'weighted avg': {'precision': 0.997706940494652, 'recall': 0.9978401727861771, 'f1-score': 0.9977207683396181, 'support': 1852.0}}                | 0.0022    | {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}                               | 0.0038     | {'~PL': {'precision': 0.9808847624249044, 'recall': 0.9966703662597114, 'f1-score': 0.9887145609688962, 'support': 1802.0}, 'PL': {'precision': 0.7142857142857143, 'recall': 0.3, 'f1-score': 0.4225352112676056, 'support': 50.0}, 'accuracy': 0.9778617710583153, 'macro avg': {'precision': 0.8475852383553093, 'recall': 0.6483351831298557, 'f1-score': 0.7056248861182509, 'support': 1852.0}, 'weighted avg': {'precision': 0.9736871639330257, 'recall': 0.9778617710583153, 'f1-score': 0.9734289413765288, 'support': 1852.0}}    | 0.0221     | {'~TI': {'precision': 0.9773855488141202, 'recall': 0.9871866295264624, 'f1-score': 0.9822616407982262, 'support': 1795.0}, 'TI': {'precision': 0.41025641025641024, 'recall': 0.2807017543859649, 'f1-score': 0.3333333333333333, 'support': 57.0}, 'accuracy': 0.9654427645788337, 'macro avg': {'precision': 0.6938209795352652, 'recall': 0.6339441919562137, 'f1-score': 0.6577974870657798, 'support': 1852.0}, 'weighted avg': {'precision': 0.9599307103163938, 'recall': 0.9654427645788337, 'f1-score': 0.9622892252876977, 'support': 1852.0}}  | 0.0346     | {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}}                   | 0.0157     | {'f1-score': 0.665339067286641, 'hamming': 0.0166036717062635}    |
+| No log        | 43.0  | 387  | 0.1301          | {'~LIN': {'precision': 0.9908008658008658, 'recall': 0.9978201634877384, 'f1-score': 0.9942981265272876, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9886609071274298, 'macro avg': {'precision': 0.4954004329004329, 'recall': 0.4989100817438692, 'f1-score': 0.4971490632636438, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817060414387628, 'recall': 0.9886609071274298, 'f1-score': 0.9851711998798988, 'support': 1852.0}}                                                 | 0.0113      | {'~SI': {'precision': 0.9826086956521739, 'recall': 0.9966923925027563, 'f1-score': 0.9896004378762999, 'support': 1814.0}, 'SI': {'precision': 0.5, 'recall': 0.15789473684210525, 'f1-score': 0.24, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.741304347826087, 'recall': 0.5772935646724308, 'f1-score': 0.61480021893815, 'support': 1852.0}, 'weighted avg': {'precision': 0.9727063574044511, 'recall': 0.9794816414686826, 'f1-score': 0.9742198673367214, 'support': 1852.0}}                                  | 0.0205     | {'~CL': {'precision': 0.9805309734513274, 'recall': 0.9946140035906643, 'f1-score': 0.9875222816399287, 'support': 1671.0}, 'CL': {'precision': 0.9426751592356688, 'recall': 0.8176795580110497, 'f1-score': 0.8757396449704142, 'support': 181.0}, 'accuracy': 0.9773218142548596, 'macro avg': {'precision': 0.9616030663434981, 'recall': 0.906146780800857, 'f1-score': 0.9316309633051715, 'support': 1852.0}, 'weighted avg': {'precision': 0.9768312421483932, 'recall': 0.9773218142548596, 'f1-score': 0.9765975207127245, 'support': 1852.0}}    | 0.0227     | {'~D': {'precision': 0.9983722192078134, 'recall': 0.998914223669924, 'f1-score': 0.9986431478968792, 'support': 1842.0}, 'D': {'precision': 0.7777777777777778, 'recall': 0.7, 'f1-score': 0.7368421052631579, 'support': 10.0}, 'accuracy': 0.9973002159827213, 'macro avg': {'precision': 0.8880749984927956, 'recall': 0.849457111834962, 'f1-score': 0.8677426265800186, 'support': 1852.0}, 'weighted avg': {'precision': 0.9971811045132668, 'recall': 0.9973002159827213, 'f1-score': 0.9972295353556605, 'support': 1852.0}}  | 0.0027    | {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}                               | 0.0038     | {'~PL': {'precision': 0.9814207650273225, 'recall': 0.9966703662597114, 'f1-score': 0.9889867841409692, 'support': 1802.0}, 'PL': {'precision': 0.7272727272727273, 'recall': 0.32, 'f1-score': 0.4444444444444444, 'support': 50.0}, 'accuracy': 0.978401727861771, 'macro avg': {'precision': 0.8543467461500249, 'recall': 0.6583351831298557, 'f1-score': 0.7167156142927068, 'support': 1852.0}, 'weighted avg': {'precision': 0.9745593169237966, 'recall': 0.978401727861771, 'f1-score': 0.9742853170865273, 'support': 1852.0}}     | 0.0216     | {'~TI': {'precision': 0.9773855488141202, 'recall': 0.9871866295264624, 'f1-score': 0.9822616407982262, 'support': 1795.0}, 'TI': {'precision': 0.41025641025641024, 'recall': 0.2807017543859649, 'f1-score': 0.3333333333333333, 'support': 57.0}, 'accuracy': 0.9654427645788337, 'macro avg': {'precision': 0.6938209795352652, 'recall': 0.6339441919562137, 'f1-score': 0.6577974870657798, 'support': 1852.0}, 'weighted avg': {'precision': 0.9599307103163938, 'recall': 0.9654427645788337, 'f1-score': 0.9622892252876977, 'support': 1852.0}}  | 0.0346     | {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}}                   | 0.0157     | {'f1-score': 0.6641499497195138, 'hamming': 0.0166036717062635}   |
+| No log        | 44.0  | 396  | 0.1304          | {'~LIN': {'precision': 0.9908008658008658, 'recall': 0.9978201634877384, 'f1-score': 0.9942981265272876, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9886609071274298, 'macro avg': {'precision': 0.4954004329004329, 'recall': 0.4989100817438692, 'f1-score': 0.4971490632636438, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817060414387628, 'recall': 0.9886609071274298, 'f1-score': 0.9851711998798988, 'support': 1852.0}}                                                 | 0.0113      | {'~SI': {'precision': 0.9826086956521739, 'recall': 0.9966923925027563, 'f1-score': 0.9896004378762999, 'support': 1814.0}, 'SI': {'precision': 0.5, 'recall': 0.15789473684210525, 'f1-score': 0.24, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.741304347826087, 'recall': 0.5772935646724308, 'f1-score': 0.61480021893815, 'support': 1852.0}, 'weighted avg': {'precision': 0.9727063574044511, 'recall': 0.9794816414686826, 'f1-score': 0.9742198673367214, 'support': 1852.0}}                                  | 0.0205     | {'~CL': {'precision': 0.9805309734513274, 'recall': 0.9946140035906643, 'f1-score': 0.9875222816399287, 'support': 1671.0}, 'CL': {'precision': 0.9426751592356688, 'recall': 0.8176795580110497, 'f1-score': 0.8757396449704142, 'support': 181.0}, 'accuracy': 0.9773218142548596, 'macro avg': {'precision': 0.9616030663434981, 'recall': 0.906146780800857, 'f1-score': 0.9316309633051715, 'support': 1852.0}, 'weighted avg': {'precision': 0.9768312421483932, 'recall': 0.9773218142548596, 'f1-score': 0.9765975207127245, 'support': 1852.0}}    | 0.0227     | {'~D': {'precision': 0.9983731019522777, 'recall': 0.999457111834962, 'f1-score': 0.9989148128052089, 'support': 1842.0}, 'D': {'precision': 0.875, 'recall': 0.7, 'f1-score': 0.7777777777777778, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9366865509761388, 'recall': 0.849728555917481, 'f1-score': 0.8883462952914933, 'support': 1852.0}, 'weighted avg': {'precision': 0.997706940494652, 'recall': 0.9978401727861771, 'f1-score': 0.9977207683396181, 'support': 1852.0}}                | 0.0022    | {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}                               | 0.0038     | {'~PL': {'precision': 0.9814207650273225, 'recall': 0.9966703662597114, 'f1-score': 0.9889867841409692, 'support': 1802.0}, 'PL': {'precision': 0.7272727272727273, 'recall': 0.32, 'f1-score': 0.4444444444444444, 'support': 50.0}, 'accuracy': 0.978401727861771, 'macro avg': {'precision': 0.8543467461500249, 'recall': 0.6583351831298557, 'f1-score': 0.7167156142927068, 'support': 1852.0}, 'weighted avg': {'precision': 0.9745593169237966, 'recall': 0.978401727861771, 'f1-score': 0.9742853170865273, 'support': 1852.0}}     | 0.0216     | {'~TI': {'precision': 0.9773980154355016, 'recall': 0.9877437325905293, 'f1-score': 0.9825436408977556, 'support': 1795.0}, 'TI': {'precision': 0.42105263157894735, 'recall': 0.2807017543859649, 'f1-score': 0.3368421052631579, 'support': 57.0}, 'accuracy': 0.9659827213822895, 'macro avg': {'precision': 0.6992253235072245, 'recall': 0.634222743488247, 'f1-score': 0.6596928730804568, 'support': 1852.0}, 'weighted avg': {'precision': 0.9602750743556833, 'recall': 0.9659827213822895, 'f1-score': 0.9626705374791962, 'support': 1852.0}}   | 0.0340     | {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}}                   | 0.0157     | {'f1-score': 0.6669623315602826, 'hamming': 0.016468682505399568} |
+| No log        | 45.0  | 405  | 0.1304          | {'~LIN': {'precision': 0.9908058409951325, 'recall': 0.9983651226158038, 'f1-score': 0.99457111834962, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9892008639308856, 'macro avg': {'precision': 0.49540292049756623, 'recall': 0.4991825613079019, 'f1-score': 0.49728555917481, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817109709643996, 'recall': 0.9892008639308856, 'f1-score': 0.9854416858377715, 'support': 1852.0}}                                                    | 0.0108      | {'~SI': {'precision': 0.9826086956521739, 'recall': 0.9966923925027563, 'f1-score': 0.9896004378762999, 'support': 1814.0}, 'SI': {'precision': 0.5, 'recall': 0.15789473684210525, 'f1-score': 0.24, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.741304347826087, 'recall': 0.5772935646724308, 'f1-score': 0.61480021893815, 'support': 1852.0}, 'weighted avg': {'precision': 0.9727063574044511, 'recall': 0.9794816414686826, 'f1-score': 0.9742198673367214, 'support': 1852.0}}                                  | 0.0205     | {'~CL': {'precision': 0.9805309734513274, 'recall': 0.9946140035906643, 'f1-score': 0.9875222816399287, 'support': 1671.0}, 'CL': {'precision': 0.9426751592356688, 'recall': 0.8176795580110497, 'f1-score': 0.8757396449704142, 'support': 181.0}, 'accuracy': 0.9773218142548596, 'macro avg': {'precision': 0.9616030663434981, 'recall': 0.906146780800857, 'f1-score': 0.9316309633051715, 'support': 1852.0}, 'weighted avg': {'precision': 0.9768312421483932, 'recall': 0.9773218142548596, 'f1-score': 0.9765975207127245, 'support': 1852.0}}    | 0.0227     | {'~D': {'precision': 0.9983731019522777, 'recall': 0.999457111834962, 'f1-score': 0.9989148128052089, 'support': 1842.0}, 'D': {'precision': 0.875, 'recall': 0.7, 'f1-score': 0.7777777777777778, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9366865509761388, 'recall': 0.849728555917481, 'f1-score': 0.8883462952914933, 'support': 1852.0}, 'weighted avg': {'precision': 0.997706940494652, 'recall': 0.9978401727861771, 'f1-score': 0.9977207683396181, 'support': 1852.0}}                | 0.0022    | {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}                               | 0.0038     | {'~PL': {'precision': 0.9814207650273225, 'recall': 0.9966703662597114, 'f1-score': 0.9889867841409692, 'support': 1802.0}, 'PL': {'precision': 0.7272727272727273, 'recall': 0.32, 'f1-score': 0.4444444444444444, 'support': 50.0}, 'accuracy': 0.978401727861771, 'macro avg': {'precision': 0.8543467461500249, 'recall': 0.6583351831298557, 'f1-score': 0.7167156142927068, 'support': 1852.0}, 'weighted avg': {'precision': 0.9745593169237966, 'recall': 0.978401727861771, 'f1-score': 0.9742853170865273, 'support': 1852.0}}     | 0.0216     | {'~TI': {'precision': 0.9773980154355016, 'recall': 0.9877437325905293, 'f1-score': 0.9825436408977556, 'support': 1795.0}, 'TI': {'precision': 0.42105263157894735, 'recall': 0.2807017543859649, 'f1-score': 0.3368421052631579, 'support': 57.0}, 'accuracy': 0.9659827213822895, 'macro avg': {'precision': 0.6992253235072245, 'recall': 0.634222743488247, 'f1-score': 0.6596928730804568, 'support': 1852.0}, 'weighted avg': {'precision': 0.9602750743556833, 'recall': 0.9659827213822895, 'f1-score': 0.9626705374791962, 'support': 1852.0}}   | 0.0340     | {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}}                   | 0.0157     | {'f1-score': 0.6669793935491783, 'hamming': 0.016401187904967602} |
+| No log        | 46.0  | 414  | 0.1304          | {'~LIN': {'precision': 0.9908008658008658, 'recall': 0.9978201634877384, 'f1-score': 0.9942981265272876, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9886609071274298, 'macro avg': {'precision': 0.4954004329004329, 'recall': 0.4989100817438692, 'f1-score': 0.4971490632636438, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817060414387628, 'recall': 0.9886609071274298, 'f1-score': 0.9851711998798988, 'support': 1852.0}}                                                 | 0.0113      | {'~SI': {'precision': 0.9826086956521739, 'recall': 0.9966923925027563, 'f1-score': 0.9896004378762999, 'support': 1814.0}, 'SI': {'precision': 0.5, 'recall': 0.15789473684210525, 'f1-score': 0.24, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.741304347826087, 'recall': 0.5772935646724308, 'f1-score': 0.61480021893815, 'support': 1852.0}, 'weighted avg': {'precision': 0.9727063574044511, 'recall': 0.9794816414686826, 'f1-score': 0.9742198673367214, 'support': 1852.0}}                                  | 0.0205     | {'~CL': {'precision': 0.9799528301886793, 'recall': 0.9946140035906643, 'f1-score': 0.9872289872289872, 'support': 1671.0}, 'CL': {'precision': 0.9423076923076923, 'recall': 0.8121546961325967, 'f1-score': 0.8724035608308606, 'support': 181.0}, 'accuracy': 0.9767818574514039, 'macro avg': {'precision': 0.9611302612481858, 'recall': 0.9033843498616305, 'f1-score': 0.9298162740299238, 'support': 1852.0}, 'weighted avg': {'precision': 0.9762736887435073, 'recall': 0.9767818574514039, 'f1-score': 0.9760068478239867, 'support': 1852.0}}   | 0.0232     | {'~D': {'precision': 0.9983722192078134, 'recall': 0.998914223669924, 'f1-score': 0.9986431478968792, 'support': 1842.0}, 'D': {'precision': 0.7777777777777778, 'recall': 0.7, 'f1-score': 0.7368421052631579, 'support': 10.0}, 'accuracy': 0.9973002159827213, 'macro avg': {'precision': 0.8880749984927956, 'recall': 0.849457111834962, 'f1-score': 0.8677426265800186, 'support': 1852.0}, 'weighted avg': {'precision': 0.9971811045132668, 'recall': 0.9973002159827213, 'f1-score': 0.9972295353556605, 'support': 1852.0}}  | 0.0027    | {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}                               | 0.0038     | {'~PL': {'precision': 0.9814207650273225, 'recall': 0.9966703662597114, 'f1-score': 0.9889867841409692, 'support': 1802.0}, 'PL': {'precision': 0.7272727272727273, 'recall': 0.32, 'f1-score': 0.4444444444444444, 'support': 50.0}, 'accuracy': 0.978401727861771, 'macro avg': {'precision': 0.8543467461500249, 'recall': 0.6583351831298557, 'f1-score': 0.7167156142927068, 'support': 1852.0}, 'weighted avg': {'precision': 0.9745593169237966, 'recall': 0.978401727861771, 'f1-score': 0.9742853170865273, 'support': 1852.0}}     | 0.0216     | {'~TI': {'precision': 0.9773855488141202, 'recall': 0.9871866295264624, 'f1-score': 0.9822616407982262, 'support': 1795.0}, 'TI': {'precision': 0.41025641025641024, 'recall': 0.2807017543859649, 'f1-score': 0.3333333333333333, 'support': 57.0}, 'accuracy': 0.9654427645788337, 'macro avg': {'precision': 0.6938209795352652, 'recall': 0.6339441919562137, 'f1-score': 0.6577974870657798, 'support': 1852.0}, 'weighted avg': {'precision': 0.9599307103163938, 'recall': 0.9654427645788337, 'f1-score': 0.9622892252876977, 'support': 1852.0}}  | 0.0346     | {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}}                   | 0.0157     | {'f1-score': 0.6639231135601078, 'hamming': 0.016671166306695465} |
+| No log        | 47.0  | 423  | 0.1304          | {'~LIN': {'precision': 0.9908008658008658, 'recall': 0.9978201634877384, 'f1-score': 0.9942981265272876, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9886609071274298, 'macro avg': {'precision': 0.4954004329004329, 'recall': 0.4989100817438692, 'f1-score': 0.4971490632636438, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817060414387628, 'recall': 0.9886609071274298, 'f1-score': 0.9851711998798988, 'support': 1852.0}}                                                 | 0.0113      | {'~SI': {'precision': 0.9826086956521739, 'recall': 0.9966923925027563, 'f1-score': 0.9896004378762999, 'support': 1814.0}, 'SI': {'precision': 0.5, 'recall': 0.15789473684210525, 'f1-score': 0.24, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.741304347826087, 'recall': 0.5772935646724308, 'f1-score': 0.61480021893815, 'support': 1852.0}, 'weighted avg': {'precision': 0.9727063574044511, 'recall': 0.9794816414686826, 'f1-score': 0.9742198673367214, 'support': 1852.0}}                                  | 0.0205     | {'~CL': {'precision': 0.9805309734513274, 'recall': 0.9946140035906643, 'f1-score': 0.9875222816399287, 'support': 1671.0}, 'CL': {'precision': 0.9426751592356688, 'recall': 0.8176795580110497, 'f1-score': 0.8757396449704142, 'support': 181.0}, 'accuracy': 0.9773218142548596, 'macro avg': {'precision': 0.9616030663434981, 'recall': 0.906146780800857, 'f1-score': 0.9316309633051715, 'support': 1852.0}, 'weighted avg': {'precision': 0.9768312421483932, 'recall': 0.9773218142548596, 'f1-score': 0.9765975207127245, 'support': 1852.0}}    | 0.0227     | {'~D': {'precision': 0.9983731019522777, 'recall': 0.999457111834962, 'f1-score': 0.9989148128052089, 'support': 1842.0}, 'D': {'precision': 0.875, 'recall': 0.7, 'f1-score': 0.7777777777777778, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9366865509761388, 'recall': 0.849728555917481, 'f1-score': 0.8883462952914933, 'support': 1852.0}, 'weighted avg': {'precision': 0.997706940494652, 'recall': 0.9978401727861771, 'f1-score': 0.9977207683396181, 'support': 1852.0}}                | 0.0022    | {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}                               | 0.0038     | {'~PL': {'precision': 0.9814207650273225, 'recall': 0.9966703662597114, 'f1-score': 0.9889867841409692, 'support': 1802.0}, 'PL': {'precision': 0.7272727272727273, 'recall': 0.32, 'f1-score': 0.4444444444444444, 'support': 50.0}, 'accuracy': 0.978401727861771, 'macro avg': {'precision': 0.8543467461500249, 'recall': 0.6583351831298557, 'f1-score': 0.7167156142927068, 'support': 1852.0}, 'weighted avg': {'precision': 0.9745593169237966, 'recall': 0.978401727861771, 'f1-score': 0.9742853170865273, 'support': 1852.0}}     | 0.0216     | {'~TI': {'precision': 0.9773980154355016, 'recall': 0.9877437325905293, 'f1-score': 0.9825436408977556, 'support': 1795.0}, 'TI': {'precision': 0.42105263157894735, 'recall': 0.2807017543859649, 'f1-score': 0.3368421052631579, 'support': 57.0}, 'accuracy': 0.9659827213822895, 'macro avg': {'precision': 0.6992253235072245, 'recall': 0.634222743488247, 'f1-score': 0.6596928730804568, 'support': 1852.0}, 'weighted avg': {'precision': 0.9602750743556833, 'recall': 0.9659827213822895, 'f1-score': 0.9626705374791962, 'support': 1852.0}}   | 0.0340     | {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}}                   | 0.0157     | {'f1-score': 0.6669623315602826, 'hamming': 0.016468682505399568} |
+| No log        | 48.0  | 432  | 0.1305          | {'~LIN': {'precision': 0.9908008658008658, 'recall': 0.9978201634877384, 'f1-score': 0.9942981265272876, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9886609071274298, 'macro avg': {'precision': 0.4954004329004329, 'recall': 0.4989100817438692, 'f1-score': 0.4971490632636438, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817060414387628, 'recall': 0.9886609071274298, 'f1-score': 0.9851711998798988, 'support': 1852.0}}                                                 | 0.0113      | {'~SI': {'precision': 0.9826086956521739, 'recall': 0.9966923925027563, 'f1-score': 0.9896004378762999, 'support': 1814.0}, 'SI': {'precision': 0.5, 'recall': 0.15789473684210525, 'f1-score': 0.24, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.741304347826087, 'recall': 0.5772935646724308, 'f1-score': 0.61480021893815, 'support': 1852.0}, 'weighted avg': {'precision': 0.9727063574044511, 'recall': 0.9794816414686826, 'f1-score': 0.9742198673367214, 'support': 1852.0}}                                  | 0.0205     | {'~CL': {'precision': 0.9805309734513274, 'recall': 0.9946140035906643, 'f1-score': 0.9875222816399287, 'support': 1671.0}, 'CL': {'precision': 0.9426751592356688, 'recall': 0.8176795580110497, 'f1-score': 0.8757396449704142, 'support': 181.0}, 'accuracy': 0.9773218142548596, 'macro avg': {'precision': 0.9616030663434981, 'recall': 0.906146780800857, 'f1-score': 0.9316309633051715, 'support': 1852.0}, 'weighted avg': {'precision': 0.9768312421483932, 'recall': 0.9773218142548596, 'f1-score': 0.9765975207127245, 'support': 1852.0}}    | 0.0227     | {'~D': {'precision': 0.9983731019522777, 'recall': 0.999457111834962, 'f1-score': 0.9989148128052089, 'support': 1842.0}, 'D': {'precision': 0.875, 'recall': 0.7, 'f1-score': 0.7777777777777778, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9366865509761388, 'recall': 0.849728555917481, 'f1-score': 0.8883462952914933, 'support': 1852.0}, 'weighted avg': {'precision': 0.997706940494652, 'recall': 0.9978401727861771, 'f1-score': 0.9977207683396181, 'support': 1852.0}}                | 0.0022    | {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}                               | 0.0038     | {'~PL': {'precision': 0.9814207650273225, 'recall': 0.9966703662597114, 'f1-score': 0.9889867841409692, 'support': 1802.0}, 'PL': {'precision': 0.7272727272727273, 'recall': 0.32, 'f1-score': 0.4444444444444444, 'support': 50.0}, 'accuracy': 0.978401727861771, 'macro avg': {'precision': 0.8543467461500249, 'recall': 0.6583351831298557, 'f1-score': 0.7167156142927068, 'support': 1852.0}, 'weighted avg': {'precision': 0.9745593169237966, 'recall': 0.978401727861771, 'f1-score': 0.9742853170865273, 'support': 1852.0}}     | 0.0216     | {'~TI': {'precision': 0.9773855488141202, 'recall': 0.9871866295264624, 'f1-score': 0.9822616407982262, 'support': 1795.0}, 'TI': {'precision': 0.41025641025641024, 'recall': 0.2807017543859649, 'f1-score': 0.3333333333333333, 'support': 57.0}, 'accuracy': 0.9654427645788337, 'macro avg': {'precision': 0.6938209795352652, 'recall': 0.6339441919562137, 'f1-score': 0.6577974870657798, 'support': 1852.0}, 'weighted avg': {'precision': 0.9599307103163938, 'recall': 0.9654427645788337, 'f1-score': 0.9622892252876977, 'support': 1852.0}}  | 0.0346     | {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}}                   | 0.0157     | {'f1-score': 0.6667254083084481, 'hamming': 0.016536177105831534} |
+| No log        | 49.0  | 441  | 0.1306          | {'~LIN': {'precision': 0.9908008658008658, 'recall': 0.9978201634877384, 'f1-score': 0.9942981265272876, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9886609071274298, 'macro avg': {'precision': 0.4954004329004329, 'recall': 0.4989100817438692, 'f1-score': 0.4971490632636438, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817060414387628, 'recall': 0.9886609071274298, 'f1-score': 0.9851711998798988, 'support': 1852.0}}                                                 | 0.0113      | {'~SI': {'precision': 0.9826086956521739, 'recall': 0.9966923925027563, 'f1-score': 0.9896004378762999, 'support': 1814.0}, 'SI': {'precision': 0.5, 'recall': 0.15789473684210525, 'f1-score': 0.24, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.741304347826087, 'recall': 0.5772935646724308, 'f1-score': 0.61480021893815, 'support': 1852.0}, 'weighted avg': {'precision': 0.9727063574044511, 'recall': 0.9794816414686826, 'f1-score': 0.9742198673367214, 'support': 1852.0}}                                  | 0.0205     | {'~CL': {'precision': 0.9799528301886793, 'recall': 0.9946140035906643, 'f1-score': 0.9872289872289872, 'support': 1671.0}, 'CL': {'precision': 0.9423076923076923, 'recall': 0.8121546961325967, 'f1-score': 0.8724035608308606, 'support': 181.0}, 'accuracy': 0.9767818574514039, 'macro avg': {'precision': 0.9611302612481858, 'recall': 0.9033843498616305, 'f1-score': 0.9298162740299238, 'support': 1852.0}, 'weighted avg': {'precision': 0.9762736887435073, 'recall': 0.9767818574514039, 'f1-score': 0.9760068478239867, 'support': 1852.0}}   | 0.0232     | {'~D': {'precision': 0.9983731019522777, 'recall': 0.999457111834962, 'f1-score': 0.9989148128052089, 'support': 1842.0}, 'D': {'precision': 0.875, 'recall': 0.7, 'f1-score': 0.7777777777777778, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9366865509761388, 'recall': 0.849728555917481, 'f1-score': 0.8883462952914933, 'support': 1852.0}, 'weighted avg': {'precision': 0.997706940494652, 'recall': 0.9978401727861771, 'f1-score': 0.9977207683396181, 'support': 1852.0}}                | 0.0022    | {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}                               | 0.0038     | {'~PL': {'precision': 0.9814207650273225, 'recall': 0.9966703662597114, 'f1-score': 0.9889867841409692, 'support': 1802.0}, 'PL': {'precision': 0.7272727272727273, 'recall': 0.32, 'f1-score': 0.4444444444444444, 'support': 50.0}, 'accuracy': 0.978401727861771, 'macro avg': {'precision': 0.8543467461500249, 'recall': 0.6583351831298557, 'f1-score': 0.7167156142927068, 'support': 1852.0}, 'weighted avg': {'precision': 0.9745593169237966, 'recall': 0.978401727861771, 'f1-score': 0.9742853170865273, 'support': 1852.0}}     | 0.0216     | {'~TI': {'precision': 0.9768595041322314, 'recall': 0.9877437325905293, 'f1-score': 0.9822714681440443, 'support': 1795.0}, 'TI': {'precision': 0.40540540540540543, 'recall': 0.2631578947368421, 'f1-score': 0.3191489361702128, 'support': 57.0}, 'accuracy': 0.9654427645788337, 'macro avg': {'precision': 0.6911324547688185, 'recall': 0.6254508136636857, 'f1-score': 0.6507102021571285, 'support': 1852.0}, 'weighted avg': {'precision': 0.9592715540094295, 'recall': 0.9654427645788337, 'f1-score': 0.9618621893521933, 'support': 1852.0}}  | 0.0346     | {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}}                   | 0.0157     | {'f1-score': 0.6656126615354607, 'hamming': 0.0166036717062635}   |
+| No log        | 50.0  | 450  | 0.1305          | {'~LIN': {'precision': 0.9908008658008658, 'recall': 0.9978201634877384, 'f1-score': 0.9942981265272876, 'support': 1835.0}, 'LIN': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 17.0}, 'accuracy': 0.9886609071274298, 'macro avg': {'precision': 0.4954004329004329, 'recall': 0.4989100817438692, 'f1-score': 0.4971490632636438, 'support': 1852.0}, 'weighted avg': {'precision': 0.9817060414387628, 'recall': 0.9886609071274298, 'f1-score': 0.9851711998798988, 'support': 1852.0}}                                                 | 0.0113      | {'~SI': {'precision': 0.9826086956521739, 'recall': 0.9966923925027563, 'f1-score': 0.9896004378762999, 'support': 1814.0}, 'SI': {'precision': 0.5, 'recall': 0.15789473684210525, 'f1-score': 0.24, 'support': 38.0}, 'accuracy': 0.9794816414686826, 'macro avg': {'precision': 0.741304347826087, 'recall': 0.5772935646724308, 'f1-score': 0.61480021893815, 'support': 1852.0}, 'weighted avg': {'precision': 0.9727063574044511, 'recall': 0.9794816414686826, 'f1-score': 0.9742198673367214, 'support': 1852.0}}                                  | 0.0205     | {'~CL': {'precision': 0.9805309734513274, 'recall': 0.9946140035906643, 'f1-score': 0.9875222816399287, 'support': 1671.0}, 'CL': {'precision': 0.9426751592356688, 'recall': 0.8176795580110497, 'f1-score': 0.8757396449704142, 'support': 181.0}, 'accuracy': 0.9773218142548596, 'macro avg': {'precision': 0.9616030663434981, 'recall': 0.906146780800857, 'f1-score': 0.9316309633051715, 'support': 1852.0}, 'weighted avg': {'precision': 0.9768312421483932, 'recall': 0.9773218142548596, 'f1-score': 0.9765975207127245, 'support': 1852.0}}    | 0.0227     | {'~D': {'precision': 0.9983731019522777, 'recall': 0.999457111834962, 'f1-score': 0.9989148128052089, 'support': 1842.0}, 'D': {'precision': 0.875, 'recall': 0.7, 'f1-score': 0.7777777777777778, 'support': 10.0}, 'accuracy': 0.9978401727861771, 'macro avg': {'precision': 0.9366865509761388, 'recall': 0.849728555917481, 'f1-score': 0.8883462952914933, 'support': 1852.0}, 'weighted avg': {'precision': 0.997706940494652, 'recall': 0.9978401727861771, 'f1-score': 0.9977207683396181, 'support': 1852.0}}                | 0.0022    | {'~HI': {'precision': 0.9962203023758099, 'recall': 1.0, 'f1-score': 0.9981065728969435, 'support': 1845.0}, 'HI': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 7.0}, 'accuracy': 0.9962203023758099, 'macro avg': {'precision': 0.49811015118790497, 'recall': 0.5, 'f1-score': 0.49905328644847174, 'support': 1852.0}, 'weighted avg': {'precision': 0.9924548908657502, 'recall': 0.9962203023758099, 'f1-score': 0.9943340318546764, 'support': 1852.0}}                               | 0.0038     | {'~PL': {'precision': 0.9814207650273225, 'recall': 0.9966703662597114, 'f1-score': 0.9889867841409692, 'support': 1802.0}, 'PL': {'precision': 0.7272727272727273, 'recall': 0.32, 'f1-score': 0.4444444444444444, 'support': 50.0}, 'accuracy': 0.978401727861771, 'macro avg': {'precision': 0.8543467461500249, 'recall': 0.6583351831298557, 'f1-score': 0.7167156142927068, 'support': 1852.0}, 'weighted avg': {'precision': 0.9745593169237966, 'recall': 0.978401727861771, 'f1-score': 0.9742853170865273, 'support': 1852.0}}     | 0.0216     | {'~TI': {'precision': 0.9773980154355016, 'recall': 0.9877437325905293, 'f1-score': 0.9825436408977556, 'support': 1795.0}, 'TI': {'precision': 0.42105263157894735, 'recall': 0.2807017543859649, 'f1-score': 0.3368421052631579, 'support': 57.0}, 'accuracy': 0.9659827213822895, 'macro avg': {'precision': 0.6992253235072245, 'recall': 0.634222743488247, 'f1-score': 0.6596928730804568, 'support': 1852.0}, 'weighted avg': {'precision': 0.9602750743556833, 'recall': 0.9659827213822895, 'f1-score': 0.9626705374791962, 'support': 1852.0}}   | 0.0340     | {'~PC': {'precision': 0.9864645370871684, 'recall': 0.9978094194961665, 'f1-score': 0.9921045466920774, 'support': 1826.0}, 'PC': {'precision': 0.2, 'recall': 0.038461538461538464, 'f1-score': 0.06451612903225806, 'support': 26.0}, 'accuracy': 0.984341252699784, 'macro avg': {'precision': 0.5932322685435842, 'recall': 0.5181354789788525, 'f1-score': 0.5283103378621677, 'support': 1852.0}, 'weighted avg': {'precision': 0.9754234582727697, 'recall': 0.984341252699784, 'f1-score': 0.9790822470921016, 'support': 1852.0}}                   | 0.0157     | {'f1-score': 0.6669623315602826, 'hamming': 0.016468682505399568} |
+
+
+### Framework versions
+
+- Transformers 4.52.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.5.0
+- Tokenizers 0.21.1