Knee Injury Detection on Knee Injury Dataset PFPS+ITBS (test)
71.4AccuracyCNN
Evaluation results
| Method | Links | |
|---|---|---|
| CNNInput parameters=Time series2026.02 | 71.4 | |
| CNNInput parameters=Time series & Point values2026.02 | 70.5 | |
| GPInput parameters=Time series & Point values2026.02 | 66 | |
| LSTMInput parameters=Time series2026.02 | 65.1 | |
| GPInput parameters=Time series2026.02 | 63.7 | |
| SVMLInput parameters=Time series & Point values2026.02 | 63.4 | |
| GPInput parameters=Point values2026.02 | 62.8 | |
| SVMLInput parameters=Time series2026.02 | 62.2 | |
| RFInput parameters=Time series2026.02 | 61.5 | |
| KNNInput parameters=Point values2026.02 | 61.2 | |
| ADBInput parameters=Time series2026.02 | 60.9 | |
| ADBInput parameters=Point values2026.02 | 60.6 | |
| ANNInput parameters=Point values2026.02 | 60.5 | |
| RFInput parameters=Time series & Point values2026.02 | 60.4 | |
| SVMPInput parameters=Time series & Point values2026.02 | 60.3 | |
| RFInput parameters=Point values2026.02 | 60 | |
| ADBInput parameters=Time series & Point values2026.02 | 58.8 | |
| ANNInput parameters=Time series & Point values2026.02 | 58.4 | |
| SVMPInput parameters=Time series2026.02 | 58.3 | |
| ANNInput parameters=Time series2026.02 | 58 | |
| SVMLInput parameters=Point values2026.02 | 58 | |
| KNNInput parameters=Time series & Point values2026.02 | 57.6 | |
| SVMPInput parameters=Point values2026.02 | 56.7 | |
| KNNInput parameters=Time series2026.02 | 55.8 | |
| DTInput parameters=Time series & Point values2026.02 | 54.5 | |
| DTInput parameters=Time series2026.02 | 53.7 | |
| DTInput parameters=Point values2026.02 | 49.7 |