README.md

metadata

license: apache-2.0
library_name: sklearn
tags:
  - tabular-classification
  - baseline-trainer

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))])

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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