List your company

Knee Injury Detection on Knee Injury Dataset PFPS (test)

77.9AccuracyCNN
50.54857.64964.7571.851Feb 12, 2026

Evaluation results

MethodLinks
CNNInput parameters=Time series & Point values2026.0277.9
CNNInput parameters=Time series2026.0276.2
ANNInput parameters=Time series & Point values2026.0272.1
SVMLInput parameters=Time series & Point values2026.0271.7
SVMLInput parameters=Time series2026.0271.5
LSTMInput parameters=Time series2026.0271.5
ANNInput parameters=Point values2026.0269.7
GPInput parameters=Point values2026.0269.5
ADBInput parameters=Time series2026.0267.6
ANNInput parameters=Time series2026.0267.5
SVMLInput parameters=Point values2026.0267.4
KNNInput parameters=Point values2026.0267.3
RFInput parameters=Time series & Point values2026.0267.2
RFInput parameters=Point values2026.0265.5
RFInput parameters=Time series2026.0265.3
GPInput parameters=Time series & Point values2026.0265.3
SVMPInput parameters=Time series2026.0264.9
ADBInput parameters=Time series & Point values2026.0264.9
KNNInput parameters=Time series & Point values2026.0264.6
SVMPInput parameters=Time series & Point values2026.0263.7
SVMPInput parameters=Point values2026.0262.8
KNNInput parameters=Time series2026.0262.4
ADBInput parameters=Point values2026.0262.3
GPInput parameters=Time series2026.0261.1
DTInput parameters=Point values2026.0256.4
DTInput parameters=Time series2026.0255.8
DTInput parameters=Time series & Point values2026.0251.6