Customer Lifetime Value Predictor
eCommerce Behavior Dataset — Oct 2019 | ML Model: Random Forest
343,646 customers | Best R² = 1.0000
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Recency (days)
Days since last purchase
Frequency
Number of sessions
Monetary (₹)
Total amount spent
Predict CLTV
Prediction result
Predicted CLTV
₹0
High Value
—
Recency (days)
—
Frequency
—
Monetary
Feature contribution
Monetary
0%
Frequency
0%
Recency
0%
Model used
Random Forest
R² Score:
1.0000
MAE:
0.0000
| RMSE:
0.0001
All models comparison
Random Forest
Best
R² = 1.0000
Gradient Boosting
R² = 0.9980
Ridge Regression
R² = 0.9210
Linear Regression
R² = 0.9190
Lasso Regression
R² = 0.9150