Skills Evaluation on eSports Sensors Dataset

Metric: LogLoss (lower is better)

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#	Model↕	LogLoss▲	Extra Data	Paper	Date↕	Code
1	SVM	0.311	No	Collection and Validation of Psychophysiological...	2020-11-02	Code
2	KNN	0.442	No	Collection and Validation of Psychophysiological...	2020-11-02	Code
3	Random Forest	0.456	No	Collection and Validation of Psychophysiological...	2020-11-02	Code
4	Logistic Regression	0.596	No	Collection and Validation of Psychophysiological...	2020-11-02	Code
5	Random Guess	0.693	No	Collection and Validation of Psychophysiological...	2020-11-02	Code

#1SVMSOTA
0.311
LogLoss· 2020-11-02
Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset Code
#2KNNSOTA
0.442
LogLoss· 2020-11-02
Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset Code
#3Random ForestSOTA
0.456
LogLoss· 2020-11-02
Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset Code
#4Logistic RegressionSOTA
0.596
LogLoss· 2020-11-02
Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset Code
#5Random GuessSOTA
0.693
LogLoss· 2020-11-02
Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset Code