Table 2.
Summary of overall results obtained using kNN classifier with tenfold cross-validation
Metric | AD | Brain tumor 1 | Brain tumor 2 | Merged dataset |
---|---|---|---|---|
Accuracy (%) | 100 | 94.67 | 98.19 | 97.80 |
Precision (%) | 100 | 94.41 | 98.18 | 98.20 |
Recall (%) | 100 | 93.84 | 98.19 | 98.15 |
F1-score (%) | 100 | 94.10 | 98.19 | 98.16 |
Moreover, the obtained confusion matrices for four datasets are given in Fig. 7