Classification Reports

tags: #ML/supervised/classification/logit

To return the precision, recall, and F1-score for each class:

from sklearn.metrics import classification_report
print(classification_report(y_test_writing,y_pred))

Sample output:

               precision    recall  f1-score   support

           0       0.89      0.95      0.92       156
           1       0.92      0.84      0.88       112

    accuracy                           0.90       268
   macro avg       0.90      0.90      0.90       268
weighted avg       0.90      0.90      0.90       268