| Paper | Code | Accuracy | LogLoss | ROC AUC | ModelName | ReleaseDate |
|---|---|---|---|---|---|---|
| Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset | ✓ Link | 52.1 | 0.01617 | 0.919 | Random Forest | 2020-11-02 |
| Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset | ✓ Link | 48.8 | 0.01615 | 0.884 | Logistic Regression | 2020-11-02 |
| Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset | ✓ Link | 45 | 0.01588 | 0.89 | SVM | 2020-11-02 |
| Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset | ✓ Link | 41.5 | 0.05735 | 0.84 | KNN | 2020-11-02 |
| Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset | ✓ Link | 10 | 0.02303 | 0.5 | Random Guess | 2020-11-02 |