User Behavior Prediction on App Usage Dataset
64.4Weighted Precision
BehaviorLM
Updated 5d ago
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
2025.05 | 64.4 | 63.85 | 55.14 | 63.75 | 53.08 | 52.65 | |
2025.05 | 61.73 | 63.06 | 43.97 | 62.05 | 43.28 | 35.8 | |
2025.05 | 60.74 | 62.56 | 44.55 | 59.7 | 44.68 | 36.83 | |
2025.05 | 60.53 | 62.64 | 44.78 | 60.32 | 44.23 | 37.26 | |
2025.05 | 59.08 | 61.54 | 35.14 | 58.15 | 35.39 | 23.33 | |
2025.05 | 58.72 | 56.78 | 45.57 | 54.1 | 46.42 | 40.25 | |
2025.05 | 58.37 | 51.33 | 29.1 | 50.29 | 37.21 | 10.66 | |
2025.05 | 56.21 | 60.24 | 28.73 | 57.06 | 25.52 | 18.81 | |
2025.05 | 54.67 | 53.46 | 37.36 | 53.35 | 36.85 | 30 | |
2025.05 | 54.37 | 59.06 | 27.79 | 56.15 | 24.67 | 17.5 | |
2025.05 | 53.09 | 57.59 | 27.52 | 52.55 | 25.67 | 17.33 | |
2025.05 | 34.52 | 54 | 9.62 | 52.9 | - | - |