Table 1. ROC and MCC across different ROIs for the classification shown by various models.
Model | No. of ROIs—112 | No. of ROIs—38 | No. of ROIs—26 | No. of ROIs—22 | No. of ROIs—16 | |||||
---|---|---|---|---|---|---|---|---|---|---|
ROC | MCC | ROC | MCC | ROC | MCC | ROC | MCC | ROC | MCC | |
K Neighbors Classifier | 0.6822 | 0.6402 | 0.9055 | 0.8593 | 0.9099 | 0.8697 | 0.9247 | 0.8459 | 0.8898 | 0.8213 |
Random Forest Classifier | 0.7321 | 0.6789 | 0.8803 | 0.8207 | 0.8889 | 0.8124 | 0.9012 | 0.8411 | 0.8646 | 0.7984 |
Logistic Regression | 0.7091 | 0.6211 | 0.8519 | 0.7794 | 0.8697 | 0.7985 | 0.8899 | 0.7456 | 0.7836 | 0.6732 |
Decision Tree Classifier | 0.633 | 0.5154 | 0.7553 | 0.6338 | 0.7375 | 0.6741 | 0.8838 | 0.7982 | 0.7533 | 0.6173 |
Naive Bayes | 0.654 | 0.4879 | 0.72 | 0.5856 | 0.7356 | 0.6569 | 0.7099 | 0.6428 | 0.5596 | 0.3215 |