--- license: apache-2.0 library_name: sklearn tags: - tabular-classification - baseline-trainer --- ## Baseline Model trained on model_tuning_mindalle9_jsy6zj to apply classification on labels **Metrics of the best model:** accuracy 0.735922 recall_macro 0.631737 precision_macro 0.440117 f1_macro 0.457940 Name: LogisticRegression(C=0.1, class_weight='balanced', max_iter=1000), dtype: float64 **See model plot below:** 
Pipeline(steps=[('easypreprocessor',EasyPreprocessor(types=                 continuous  dirty_float  ...  free_string  useless
temperatures          False        False  ...        False    False
superconditions        True        False  ...        False    False
is_megas              False        False  ...        False    False
feature_0              True        False  ...        False    False
feature_1              True        False  ...        False    False
...                     ...          ...  ...          ...      ...
feature_763            True        False  ...        False    False
feature_764            True        False  ...        False    False
feature_765            True        False  ...        False    False
feature_766            True        False  ...        False    False
feature_767            True        False  ...        False    False[771 rows x 7 columns])),('logisticregression',LogisticRegression(C=0.1, class_weight='balanced',max_iter=1000))])
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**Disclaimer:** This model is trained with dabl library as a baseline, for better results, use [AutoTrain](https://huggingface.co/autotrain). **Logs of training** including the models tried in the process can be found in logs.txt