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Person Re Identification On Esports Sensors

평가 지표

Accuracy

LogLoss

ROC AUC

평가 결과

이 벤치마크에서 각 모델의 성능 결과

				Paper Title
Random Forest	52.1	0.01617	0.919	Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset
Logistic Regression	48.8	0.01615	0.884	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
KNN	41.5	0.05735	0.84	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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Person Re Identification On Esports Sensors | SOTA | HyperAI초신경