Model Training Performance

An overview of the machine learning model's performance metrics and results.

ACCURACY

90.6%

AVG. PRECISION

0.91

F1-SCORE

0.91

Learning Curve
Learning Curve Chart
ROC Curve
ROC Curve Chart
Confusion Matrix
Confusion Matrix Heatmap
Classification Report
              precision    recall  f1-score   support

          0       0.88      0.94      0.91       304
          1       0.93      0.88      0.90       386

   accuracy                           0.91       618
  macro avg       0.91      0.91      0.91       618
weighted avg      0.91      0.91      0.91       618
Model Parameters
Algorithm Random Forest
Features 4
Test Size 20%
Estimators 100
Feature Importance