Table 13 Comparison of Parameter Sensitivity
From: Using random forest for reliable classification and cost-sensitive learning for medical diagnosis
TCM-KNN | Without normalization | Attributes normalization | Examples normalization |
|---|---|---|---|
accuracy | 82.69% | 88.46% | 86.54% |
TCM-SVM | Simple dot product | Radial basis function | Binomial coefficient polynomial |
accuracy | 63.46% | 48.08% | 96.15% |
CP-RF | Mean | standard deviation | |
accuracy | 84.92% | 3.52% | |