Person Re Identification On Esports Sensors
평가 지표
Accuracy
LogLoss
ROC AUC
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | Accuracy | LogLoss | ROC AUC | Paper Title | Repository |
|---|---|---|---|---|---|
| Logistic Regression | 48.8 | 0.01615 | 0.884 | Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset | |
| KNN | 41.5 | 0.05735 | 0.84 | Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset | |
| SVM | 45 | 0.01588 | 0.89 | Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset | |
| Random Forest | 52.1 | 0.01617 | 0.919 | Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset | |
| Random Guess | 10 | 0.02303 | 0.5 | Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset |
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