| Paper | Code | Accuracy | LogLoss | ROC AUC | ModelName | ReleaseDate |
|---|---|---|---|---|---|---|
| Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset | ✓ Link | 85.6 | 0.311 | 0.945 | SVM | 2020-11-02 |
| Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset | ✓ Link | 83.8 | 0.596 | 0.886 | Logistic Regression | 2020-11-02 |
| Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset | ✓ Link | 80 | 0.456 | 0.885 | Random Forest | 2020-11-02 |
| Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset | ✓ Link | 74.1 | 0.442 | 0.899 | KNN | 2020-11-02 |
| Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset | ✓ Link | 50 | 0.693 | 0.5 | Random Guess | 2020-11-02 |