Table 10 Results using ML Classifiers.
Model | Channel | Loss | Accuracy |
---|---|---|---|
LR | Ch0_output | 0.0217 | 0.9485 |
DT | 0.0170 | 0.9659 | |
RF | 0.0115 | 0.9612 | |
LR | Ch1_output | 0.0200 | 0.9503 |
DT | 0.0250 | 0.9496 | |
RF | 0.019 | 0.9356 | |
LR | Ch2_output | 0.0132 | 0.9806 |
DT | 0.0033 | 0.9659 | |
RF | 0.0115 | 0.9966 | |
LR | Ch3_output | 0.0122 | 0.9739 |
DT | 0.0123 | 0.9749 | |
RF | 0.0082 | 0.9712 | |
LR | Ch4_output | 0.0143 | 0.9766 |
DT | 0.0078 | 0.9659 | |
RF | 0.0115 | 0.9842 | |
LR | Ch5_output | 0.0096 | 0.9858 |
DT | 0.0022 | 0.9955 | |
RF | 0.0015 | 0.9946 | |
LR | Ch6_output | 0.0098 | 0.9828 |
DT | 0.0048 | 0.9901 | |
RF | 0.0031 | 0.9898 | |
LR | Ch7_output | 0.0224 | 0.9314 |
DT | 0.0269 | 0.9461 | |
RF | 0.0198 | 0.9335 |