Model Performance

Random Forest Classifier (200 trees, max depth 8)

Accuracy

78.8%

Precision

75.4%

Recall

66.7%

F1 Score

70.8%

Confusion Matrix
Predicted: Died Predicted: Survived
Actual: Died 95 15
Actual: Survived 23 46

CV Mean Accuracy: 82.4% (± 2.3%)

Feature Importance
Cross-Validation Scores