lazy_classifier_colab.py

!pip install pyforest
!pip install lazypredict

import pyforest
import lazypredict
from lazypredict.Supervised import LazyClassifier

clf = LazyClassifier(verbose=0, predictions=True, ignore_warnings=False, custom_metric=None)
models, predictions = clf.fit(X_train, X_test, y_train, y_test)

print(models)

from sklearn.metrics import classification_report
for i in predictions.columns.tolist():
    print('\t\t',i,'\n')
    print(classification_report(y_test, predictions[i]),'\n')
    
models['models'] = models.index
models.to_csv('lazy_classifier_evaluation.csv', index=False, encoding='utf-8')