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SOTA
人员重识别
Person Re Identification On Esports Sensors
Person Re Identification On Esports Sensors
评估指标
Accuracy
LogLoss
ROC AUC
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
Accuracy
LogLoss
ROC AUC
Paper Title
Repository
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 | HyperAI超神经