HyperAI
HyperAI초신경
홈
플랫폼
문서
뉴스
연구 논문
튜토리얼
데이터셋
백과사전
SOTA
LLM 모델
GPU 랭킹
컨퍼런스
전체 검색
소개
서비스 약관
개인정보 처리방침
한국어
HyperAI
HyperAI초신경
Toggle Sidebar
전체 사이트 검색...
⌘
K
Command Palette
Search for a command to run...
플랫폼
홈
SOTA
기술 평가
Skills Evaluation On Esports Sensors Dataset
Skills Evaluation On Esports Sensors Dataset
평가 지표
Accuracy
LogLoss
ROC AUC
평가 결과
이 벤치마크에서 각 모델의 성능 결과
Columns
모델 이름
Accuracy
LogLoss
ROC AUC
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
0 of 5 row(s) selected.
Previous
Next