Baseline Model trained on model_tuning_mindallee8kmcfjz to apply classification on labels
Metrics of the best model:
accuracy 0.806000
recall_macro 0.416887
precision_macro 0.391691
f1_macro 0.397991
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))])
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
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))])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(C=0.1, class_weight='balanced', max_iter=1000)
Disclaimer: This model is trained with dabl library as a baseline, for better results, use AutoTrain.
Logs of training including the models tried in the process can be found in logs.txt