merve/breast_cancernb8gjv4n-diagnosis-classification

Baseline Model trained on breast_cancernb8gjv4n to apply classification on diagnosis

Metrics of the best model:

accuracy 0.978932

average_precision 0.994309

roc_auc 0.995448

recall_macro 0.976607

f1_macro 0.977365

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
id                             True        False  ...        False    False
radius_mean                    True        False  ...        False    False
texture_mean                   True        False  ...        False    False
perimeter_mean                 True        False  ...        False    False
area_mean                      True        False  ...        False    False
smoothness_mean                True        False  ...        False    False
compactness_mean               True        False  ...        False    False
concavity_mean                 Tr...
area_worst                     True        False  ...        False    False
smoothness_worst               True        False  ...        False    False
compactness_worst              True        False  ...        False    False
concavity_worst                True        False  ...        False    False
concave points_worst           True        False  ...        False    False
symmetry_worst                 True        False  ...        False    False
fractal_dimension_worst        True        False  ...        False    False[31 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