Rank
|
Method
|
MCC
|
BA
|
BM
|
MK
|
TPR
|
TNR
|
PPV
|
NPV
|
---|
|
MCC ranking:
|
1
|
Decision Tree
|
0.447
|
0.715
|
0.429
|
0.477
|
0.728
|
0.701
|
0.774
|
0.702
|
2
|
Radial SVM
|
0.423
|
0.695
|
0.390
|
0.517
|
0.891
|
0.498
|
0.754
|
0.726
|
3
|
k-Nearest Neighbors
|
0.418
|
0.706
|
0.412
|
0.443
|
0.887
|
0.525
|
0.826
|
0.617
|
4
|
Naïve Bayes
|
0.408
|
0.722
|
0.444
|
0.375
|
0.778
|
0.667
|
0.875
|
0.500
|
|
BA ranking:
|
1
|
Naïve Bayes
|
0.408
|
0.722
|
0.444
|
0.375
|
0.778
|
0.667
|
0.875
|
0.500
|
2
|
Decision Tree
|
0.447
|
0.715
|
0.429
|
0.477
|
0.728
|
0.701
|
0.774
|
0.702
|
3
|
k-Nearest Neighbors
|
0.418
|
0.706
|
0.412
|
0.443
|
0.887
|
0.525
|
0.826
|
0.617
|
4
|
Radial SVM
|
0.423
|
0.695
|
0.390
|
0.517
|
0.891
|
0.498
|
0.754
|
0.726
|
|
BM ranking:
|
1
|
Naïve Bayes
|
0.408
|
0.722
|
0.444
|
0.375
|
0.778
|
0.667
|
0.875
|
0.500
|
2
|
Decision Tree
|
0.447
|
0.715
|
0.429
|
0.477
|
0.728
|
0.701
|
0.774
|
0.702
|
3
|
k-Nearest Neighbors
|
0.418
|
0.706
|
0.412
|
0.443
|
0.887
|
0.525
|
0.826
|
0.617
|
4
|
Radial SVM
|
0.423
|
0.695
|
0.390
|
0.517
|
0.891
|
0.498
|
0.754
|
0.726
|
|
MK ranking:
|
1
|
Radial SVM
|
0.423
|
0.695
|
0.390
|
0.517
|
0.891
|
0.498
|
0.754
|
0.726
|
2
|
Decision Tree
|
0.447
|
0.715
|
0.429
|
0.477
|
0.728
|
0.701
|
0.774
|
0.702
|
3
|
k-Nearest Neighbors
|
0.418
|
0.706
|
0.412
|
0.443
|
0.887
|
0.525
|
0.826
|
0.617
|
4
|
Naïve Bayes
|
0.408
|
0.722
|
0.444
|
0.375
|
0.778
|
0.667
|
0.875
|
0.500
|
- Radial SVM: Support Vector Machine with radial Gaussian kernel. Positives: patients diagnosed with colon cancer. Negatives: healthy controls. MCC: Matthews correlation coefficient(Eq. 5). BA: balanced accuracy (Eq. 6). BM: bookmaker informedness (Eq. 7). MK: markedness (Eq. 8). TPR: true positive rate. TNR: true negative rate. PPV: positive predictive value. NPV: negative predictive value. MCC, BM, MK value interval: [−1,+1]. BA, TPR, TNR, PPV, NPV value interval: [0,1].
- Bold values represent the corresponding ranking for each metric