Table 6 Performance metrics for balanced dataset using ratio based data balancing approach with 80:20 ratio.
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 | XG-Boosting | |
|---|---|---|---|---|---|---|---|---|
Accuracy | 17.52 | 85.52 | 82.80 | 84.08 | 84.88 | 80.88 | 85.20 | 89.28 |
Precision | 15.73 | 65.21 | 44.38 | 35.71 | 53.94 | 40.98 | 78.86 | 72.59 |
Recall | 98.46 | 15.38 | 40.51 | 2.56 | 21.02 | 51.28 | 49.74 | 50.25 |
F1-Score | 27.13 | 24.89 | 42.35 | 4.78 | 30.25 | 45.55 | 61.00 | 59.39 |
