Research Article
Investigating the Role of Image Fusion in Brain Tumor Classification Models Based on Machine Learning Algorithm for Personalized Medicine
Table 2
Performance comparison of proposed method and SVM, KNN, and decision tree classifiers when MRI 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 | 190 | 10 | 186 | 14 | 94 | 95 | 93.21 | 94.89 | 94.09 | 3 | -NN | 180 | 20 | 181 | 19 | 90.25 | 90 | 90.45 | 90.04 | 90.20 | 4 | Decision tree | 174 | 26 | 172 | 28 | 86.50 | 87 | 86.86 | 86 | 87 |
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