Lead Conversion
classification model
Healthy
AUC
0.87
Accuracy
0.84
Precision
0.81
Recall
0.76
Trained: 15 Feb 202612,480 predictions
Customer Value
regression model
Healthy
R²
0.82
MAE
12.3 EUR
RMSE
18.5 EUR
MAPE
8.7%
Trained: 10 Feb 20269,650 predictions
Lead Conversion
Customer Value
AUC Trend
R² Trend
Feature Importance
Feature Importance
Confusion Matrix
Predicted
Actual
Not Converted
Converted
Not Converted
3,218TN (52.9%)
431FP (7.1%)
Converted
589FN (9.7%)
1,842TP (30.3%)
Accuracy: 83.2%Precision: 81.0%Recall: 75.8%
Actual vs Predicted
Dashed line = perfect prediction
Score Distribution
Error Distribution
Prediction Error (Actual − Predicted)