Skills Evaluation On Esports Sensors Dataset

Metriken

Accuracy

LogLoss

ROC AUC

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

				Paper Title
SVM	85.6	0.311	0.945	Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset
Logistic Regression	83.8	0.596	0.886	Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset
Random Forest	80	0.456	0.885	Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset
KNN	74.1	0.442	0.899	Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset
Random Guess	50	0.693	0.5	Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset

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Skills Evaluation On Esports Sensors Dataset | SOTA | HyperAI