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