Table 1 Performance evaluation of LGG and GBM subtypes classification
Methods | Performance measures (Average of 10 fold cross-validation) | |||||||
|---|---|---|---|---|---|---|---|---|
Accuracy [95% CI] | Precision [95% CI] | Recall [95% CI] | F1-score [95% CI] | FPR [95% CI] | Gmean [95% CI] | MCC [95% CI] | ||
LGG | ANN | 95.40% | 92.50% | 92.73% | 92.45% | 0.03 | 95.28% | 0.89 |
[95.39–95.41] | [92.48–92.52] | [92.72–92.74] | [92.33–92.57] | [0.02–0.038] | [95.27–95.29] | [0.87–0.91] | ||
CNN | 98.03% | 97.67% | 96.96% | 96.97% | 0.01 | 97.99% | 0.96 | |
[98.02–98.038] | [97.66–97.679] | [96.95–96.97] | [96.96–96.98] | [0.005–0.015] | [97.98–97.998] | [0.95–0.97] | ||
GBM | ANN | 92.19% | 88.05% | 89.77% | 87.75% | 0.03 | 94.76% | 0.9 |
[92.16–92.22] | [88.00- 88.10] | [89.73–89.81] | [87.70–87.80] | [0.02–0.04] | [94.74–94.78] | [0.86–0.94] | ||
CNN | 94.07% | 90.40% | 91.18% | 90.25% | 0.02 | 96.51% | 0.93 | |
[94.04–94.10] | [90.35–90.45] | [91.13–91.23] | [90.20–90.30] | [0.01–0.03] | [96.49–96.53] | [0.89–0.97] | ||