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Confusion matrix of proposed method for HAR using SVM with UCI dataset
| Actual classes | |||||||
|---|---|---|---|---|---|---|---|
| Activities | Predicted class | Recall | |||||
| Walk | Up | Down | Sit | Stand | Lie | ||
| Walk | 481 | 1 | 7 | 0 | 0 | 0 | 98.36% |
| Up | 8 | 463 | 12 | 0 | 0 | 0 | 95.86% |
| Down | 8 | 13 | 411 | 0 | 0 | 0 | 95.14% |
| Sit | 0 | 0 | 0 | 479 | 1 | 0 | 99.79% |
| Stand | 0 | 0 | 0 | 5 | 534 | 0 | 99.63% |
| Lie | 0 | 0 | 0 | 0 | 0 | 524 | 100.00% |
| Precision | 96.78% | 97.06% | 95.58% | 98.97% | 99.81% | 100.00% | 99.30% |
