Dataset Used: Accelerometer readings
Conclusion: As the dataset is very large, the SVM model is not able to fit well and so the max accuracy is 0.380.
| Number of Instances: | 153000 |
|---|---|
| Number of Attributes: | 5 |
| Sample # | Best Accuracy | kernel | c | gamma | degree |
|---|---|---|---|---|---|
| 1 | 0.3309368191721133 | rbf | 0.1 | 0.01 | 1 |
| 2 | 0.34809368191721135 | poly | 3 | 1 | 2 |
| 3 | 0.3340958605664488 | poly | 0.1 | 0.01 | 2 |
| 4 | 0.33126361655773423 | rbf | 3 | 1 | 1 |
| 5 | 0.3397058823529412 | poly | 1 | 0.01 | 2 |
| 6 | 0.3449891067538126 | poly | 1 | 0.01 | 2 |
| 7 | 0.3803376906318083 | poly | 1 | 0.01 | 2 |
| 8 | 0.3332788671023965 | poly | 3 | 1 | 2 |
| 9 | 0.33736383442265794 | rbf | 3 | 0.1 | 1 |
| 10 | 0.33344226579520697 | rbf | 3 | 0.1 | 1 |
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