Table 3.
Classifier | Window size | Classification accuracy (%) | |||||
---|---|---|---|---|---|---|---|
Level 1 | Level 2 | Level 3 | Level 4 | Level 5 | Level 6 | ||
KNN | 64 | 75.65 | 75.42 | 0.00 | 0.00 | 0.00 | 0.00 |
128 | 71.19 | 60.06 | 72.75 | 0.00 | 0.00 | 0.00 | |
256 | 65.74 | 53.51 | 62.72 | 53.62 | 0.00 | 0.00 | |
512 | 75.07 | 41.28 | 70.96 | 45.62 | 68.41 | 0.00 | |
1024 | 64.41 | 54.84 | 58.84 | 64.52 | 50.72 | 47.94 | |
| |||||||
Bayes | 64 | 68.52 | 59.07 | 0.00 | 0.00 | 0.00 | 0.00 |
128 | 52.06 | 49.39 | 60.29 | 0.00 | 0.00 | 0.00 | |
256 | 54.96 | 49.16 | 56.17 | 50.72 | 0.00 | 0.00 | |
512 | 60.41 | 61.51 | 42.61 | 46.49 | 71.65 | 0.00 | |
1024 | 67.07 | 50.96 | 64.17 | 43.71 | 54.72 | 59.19 | |
| |||||||
SVM | 64 | 74.32 | 69.97 | 0.00 | 0.00 | 0.00 | 0.00 |
128 | 60.52 | 55.07 | 73.97 | 0.00 | 0.00 | 0.00 | |
256 | 65.97 | 52.06 | 67.30 | 63.30 | 0.00 | 0.00 | |
512 | 64.41 | 64.17 | 58.61 | 38.26 | 56.29 | 0.00 | |
1024 | 71.30 | 41.04 | 71.07 | 35.48 | 53.51 | 56.64 | |
| |||||||
Hybrid | 64 | 96.77 | 95.16 | 0.00 | 0.00 | 0.00 | 0.00 |
128 | 98.39 | 96.77 | 96.77 | 0.00 | 0.00 | 0.00 | |
256 | 85.48 | 85.48 | 83.87 | 82.26 | 0.00 | 0.00 | |
512 | 100.00 | 69.35 | 98.39 | 59.68 | 80.65 | 0.00 | |
1024 | 75.81 | 75.81 | 70.97 | 95.16 | 54.84 | 69.35 |