Evaluation Report: xgb_demo_01
Performance Metrics
| test_roc_auc |
cv_mean_f1 |
cv_std_f1 |
train_f1 |
test_f1 |
test_precision |
test_recall |
| 0.99066 |
0.91719 |
0.007017 |
0.965316 |
0.928991 |
0.926815 |
0.931176 |
Detail Reports
Train Classification Report
precision recall f1-score support
0 0.99 0.99 0.99 24900
1 0.96 0.97 0.97 5100
accuracy 0.99 30000
macro avg 0.98 0.98 0.98 30000
weighted avg 0.99 0.99 0.99 30000
Test Classification Report
precision recall f1-score support
0 0.99 0.98 0.99 8300
1 0.93 0.93 0.93 1700
accuracy 0.98 10000
macro avg 0.96 0.96 0.96 10000
weighted avg 0.98 0.98 0.98 10000
Plots
Confusion Matrix
Roc Curve
Pr Curve
Learning Curve
Calibration Curve
Threshold Plot
Permutation Importance
Cumulative Gain
Lift Curve
Dist Number Project
Dist Average Montly Hours
Dist Time Spend Company
Dist Department
Dist Salary
Cv Score Distribution
Shap Summary Beeswarm
Shap Bar
