Research Article
Investigating the Role of Image Fusion in Brain Tumor Classification Models Based on Machine Learning Algorithm for Personalized Medicine
Table 3
Performance comparison of proposed method and SVM, KNN, and decision tree classifiers when SPECT image alone given as input.
| S. no. | Classifier name | TP | FP | TN | FN | Accuracy | Precision | Recall | Specificity | score |
| 1 | SVM (proposed) | 195 | 5 | 190 | 10 | 96.8 | 97.5 | 95.12 | 97.43 | 96.29 | 2 | SVM | 192 | 8 | 188 | 12 | 95 | 96 | 94.11 | 95.91 | 95.04 | 3 | -NN | 182 | 18 | 185 | 15 | 91.75 | 91 | 92.38 | 91.13 | 91.68 | 4 | Decision tree | 178 | 22 | 179 | 21 | 89.25 | 89 | 89.44 | 89.05 | 89.21 |
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