Research Article
Fuzzy-Based Fusion Model for β-Thalassemia Carriers Prediction Using Machine Learning Technique
Table 12
ML-based proposed model performance (validation).
| Samples for validation (30% records) | Approaches | Accuracy (%) | Miss rate (%) |
| Logistics regression (LR) | 94.01 | 5.99 | Naïve Bayes (NB) | 93.15 | 6.85 | Decision tree (DT) | 99.93 | 0.07 | Neural network (NN) | 100 | 0 | Average performance proposed model | 96.77 | 3.23 |
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