Table 4.
Classifiers | Medical expert-I opinion % | Medical expert-II opinion % |
---|---|---|
K-NN | 99.80 | 98.65 |
Decision tree | 95.75 | 95.4 |
K-NN classifier accuracies are better compared to decision tree classifier so the values of K-NN are in bold.
Classifiers | Medical expert-I opinion % | Medical expert-II opinion % |
---|---|---|
K-NN | 99.80 | 98.65 |
Decision tree | 95.75 | 95.4 |
K-NN classifier accuracies are better compared to decision tree classifier so the values of K-NN are in bold.