Table 2 Model evaluation results.
Personalized GRU | Nonpersonalized GRU | Logistic regression | Random forest | |
---|---|---|---|---|
Average MR (95% CI) | 0.92 (0.78, 1.05) | 0.68 (0.64, 0.73) | 0.67 (0.63, 0.72) | 0.67 (0.63, 0.71) |
Average precision (95% CI) | 0.94 (0.86, 1.02) | 0.84 (0.81, 0.87) | 0.84 (0.80, 0.87) | 0.82 (0.79, 0.85) |
Average recall (95% CI) | 0.94 (0.87, 1.01) | 0.84 (0.81, 0.87) | 0.82 (0.79, 0.85) | 0.79 (0.76, 0.82) |
Average F1-score (95% CI) | 0.94 (0.86, 1.01) | 0.83 (0.80, 0.85) | 0.81 (0.78, 0.84) | 0.79 (0.76, 0.82) |
Average hamming loss (95% CI) | 0.03 (-0.02. 0.08) | 0.14 (0.12, 0.16) | 0.15 (0.12, 0.17) | 0.15 (0.13, 0.17) |