From: Social networks for enhanced player churn prediction in mobile free-to-play games
Classifier | Benchmark | Benchmark + Friends | ||||||
---|---|---|---|---|---|---|---|---|
Precision | Recall | \({\mathbf{F}}_{1}\) | AUC | Precision | Recall | \(F_1\) | AUC | |
DecisionTree | 0.688 (0.017) | 0.797 (0.033) | 0.738 (0.018) | 0.774 (0.018) | 0.692 (0.019) | 0.880 (0.021) | 0.774 (0.008) | 0.743 (0.014) |
KNN | 0.538 (0.036) | 0.704 (0.185) | 0.599 (0.073) | 0.545 (0.058) | 0.537 (0.036) | 0.704 (0.185) | 0.599 (0.073) | 0.545 (0.058) |
RandomForest | 0.712 (0.015) | 0.840 (0.015) | 0.771 (0.014) | 0.812 (0.014) | 0.714 (0.015) | 0.834 (0.016) | 0.769 (0.012) | 0.812 (0.012) |
XGBoost | 0.705 (0.008) | 0.807 (0.022) | 0.752 (0.011) | 0.797 (0.016) | 0.702 (0.017) | 0.799 (0.055) | 0.747 (0.029) | 0.796 (0.019) |
SGD | 0.622 (0.068) | 0.578 (0.288) | 0.546 (0.164) | 0.592 (0.042) | 0.614 (0.069) | 0.567 (0.332) | 0.516 (0.218) | 0.585 (0.047) |
Classifier | Benchmark + Similarity | Benchmark + Friends + Similarity | ||||||
---|---|---|---|---|---|---|---|---|
Precision | Recall | \({\mathbf{F}}_{1}\) | AUC | Precision | Recall | \({\mathbf{F}}_{1}\) | AUC | |
DecisionTree | 0.692 (0.019) | 0.880 (0.021) | 0.774 (0.008) | 0.743 (0.014) | 0.643 (0.042) | 0.828 (0.084) | 0.719 (0.017) | 0.721 (0.034) |
KNN | 0.538 (0.036) | 0.704 (0.185) | 0.599 (0.073) | 0.545 (0.058) | 0.537 (0.036) | 0.704 (0.18) | 0.599 (0.073) | 0.546 (0.058) |
RandomForest | 0.710 (0.013) | 0.839 (0.019) | 0.769 (0.013) | 0.810 (0.015) | 0.711 (0.016) | 0.841 (0.019) | 0.770 (0.016) | 0.811 (0.014) |
XGBoost | 0.702 (0.015) | 0.806 (0.038) | 0.750 (0.025) | 0.794 (0.025) | 0.697 (0.013) | 0.815 (0.046) | 0.751 (0.025) | 0.797 (0.019) |
SGD | 0.617 (0.065) | 0.649 (0.219) | 0.604 (0.102) | 0.605 (0.043) | 0.597 (0.073) | 0.617 (0.342) | 0.534 (0.194) | 0.568 (0.040) |