Table 4 Confusion matrices for Binary Decision Tree, Random Forest, and Support Vector Machine classifiers trained on combined hip and wrist data
Activity Class | Binary Decision Tree | |||
|---|---|---|---|---|
Observed | ||||
Prediction | SED | SUM | CW | BW |
1. SED | 1284 [0.94] | 80 [0.06] | 0 [0.00] | 0 [0.00] |
2. SUM | 45 [0.03] | 1243 [0.91] | 70 [0.05] | 6 [0.00] |
3. CW | 4 [0.01] | 62 [0.08] | 547 [0.70] | 164 [0.21] |
4. BW | 10 [0.01] | 74 [0.05] | 185 [0.12] | 1285 [0.83] |
Random Forest | ||||
1. SED | 1326 [0.97] | 36 [0.03] | 0 [0.00] | 2 [0.00] |
2. SUM | 20 [0.01] | 1317 [0.97] | 11 [0.01] | 16 [0.01] |
3. CW | 4 [0.01] | 52 [0.07] | 511 [0.66] | 210 [0.27] |
4. BW | 10 [0.01] | 43 [0.03] | 164 [0.11] | 1337 [0.86] |
Support Vector Machine | ||||
1. SED | 1335 [0.98] | 27 [0.02] | 1 [0.00] | 1 [0.00] |
2. SUM | 34 [0.02] | 1316 [0.96] | 7 [0.01] | 7 [0.01] |
3. CW | 4 [0.01] | 71 [0.09] | 529 [0.68] | 173 [0.22] |
4. BW | 7 [0.00] | 50 [0.03] | 176 [0.11] | 1321 [0.85] |