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 | \({\mathbf{F}}_{1}\) | AUC | |
DecisionTree | 0.525(0.028) | 0.493(0.074) | 0.506(0.048) | 0.715(0.030) | 0.607(0.024) | 0.652(0.094) | 0.625(0.045) | 0.750(0.018) |
KNN | 0.325 (0.043) | 0.460 (0.194) | 0.363(0.098) | 0.500 (0.056) | 0.339(0.049) | 0.488(0.219) | 0.375(0.090) | 0.509 (0.061) |
RandomForest | 0.620 (0.049) | 0.495(0.131) | 0.535 (0.082) | 0.811(0.020) | 0.631 (0.035) | 0.546 (0.091) | 0.579 (0.053) | 0.810 (0.022) |
XGBoost | 0.570(0.023) | 0.498(0.198) | 0.499(0.158) | 0.781(0.018) | 0.584(0.054) | 0.536(0.191) | 0.526(0.126) | 0.790(0.017) |
SGD | 0.455(0.144) | 0.273(0.318) | 0.263(0.181) | 0.555(0.059) | 0.571(0.219) | 0.141 (0.222) | 0.156 (0.199) | 0.541 (0.061) |
Classifier | Benchmark + Similarity | Benchmark + Friends + Similarity | ||||||
---|---|---|---|---|---|---|---|---|
Precision | Recall | \({\mathbf{F}}_{1}\) | AUC | Precision | Recall | \({\mathbf{F}}_{1}\) | AUC | |
DecisionTree | 0.695(0.025) | 0.792 (0.071) | 0.738(0.028) | 0.783(0.015) | 0.699(0.040) | 0.716(0.152) | 0.696(0.058) | 0.779(0.025) |
KNN | 0.683(0.071) | 0.573(0.082) | 0.615(0.028) | 0.708(0.012) | 0.676 (0.067) | 0.580(0.076) | 0.617 (0.026) | 0.704 (0.014) |
RandomForest | 0.704 (0.023) | 0.779 (0.020) | 0.739(0.018) | 0.815(0.022) | 0.703 (0.029) | 0.782 (0.018) | 0.740( 0.023) | 0.815 (0.023) |
XGBoost | 0.682 (0.019) | 0.795(0.039) | 0.733 (0.012) | 0.802(0.016) | 0.686(0.026) | 0.786(0.017) | 0.732(0.016) | 0.801(0.021) |
SGD | 0.626 0.086) | 0.751(0.127) | 0.667(0.010) | 0.618(0.098) | 0.602 (0.140) | 0.671(0.220) | 0.604(0.097) | 0.579(0.128) |