Table 2 Performance metrics for imbalanced dataset.
From: Enhancing customer retention in telecom industry with machine learning driven churn prediction
Perceptron | MLP Classifier | Naïve Bayes | Logistic Regression | KNN | Decision Tree | Gradient Boosting | Extreme Gradient Boosting | |
|---|---|---|---|---|---|---|---|---|
Accuracy | 78.04 | 73.12 | 77.87 | 78.56 | 74.72 | 79.6 | 82.4 | 83.68 |
Precision | 0 | 54.54 | 49.13 | 33.33 | 64.38 | 46.42 | 60 | 74.02 |
Recall | 0 | 2.83 | 40.09 | 28.3 | 22.16 | 55.18 | 24.05 | 49.97 |
F1-Score | 0 | 5.38 | 44.15 | 30.61 | 32.98 | 50.43 | 34.34 | 59.66 |
