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. 2023 Apr 12;19(4):e1011012. doi: 10.1371/journal.pcbi.1011012

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