Table 2 Confusion matrices for Binary Decision Tree, Random Forest, and Support Vector Machine classifiers trained on wrist data
Activity Class | Binary Decision Tree | |||
|---|---|---|---|---|
Observed | ||||
Prediction | SED | SUM | CW | BW |
1. SED | 1294 [0.95] | 70 [0.05] | 0 [0.00] | 0 [0.00] |
2. SUM | 47 [0.03] | 1009 [0.74] | 124 [0.09] | 184 [0.13] |
3. CW | 7 [0.01] | 90 [0.12] | 370 [0.48] | 310 [0.40] |
4. BW | 18 [0.01] | 197 [0.13] | 163 [0.10] | 1176 [0.76] |
Random Forest | ||||
1. SED | 1311 [0.96] | 47 [0.03] | 0 [0.00] | 6 [0.00] |
2. SUM | 30 [0.02] | 1267 [0.93] | 16 [0.01] | 51 [0.04] |
3. CW | 7 [0.01] | 75 [0.10] | 442 [0.57] | 253 [0.33] |
4. BW | 20 [0.01] | 135 [0.09] | 242 [0.16] | 1157 [0.74] |
Support Vector Machine | ||||
1. SED | 1327 [0.97] | 37 [0.03] | 0 [0.00] | 0 [0.00] |
2. SUM | 51 [0.04] | 1242 [0.91] | 28 [0.02] | 43 [0.03] |
3. CW | 9 [0.01] | 112 [0.14] | 467 [0.60] | 189 [0.24] |
4. BW | 17 [0.01] | 170 [0.11] | 256 [0.16] | 1111 [0.71] |