IoMT-Based Mitochondrial and Multifactorial Genetic Inheritance Disorder Prediction Using Machine Learning

Table 5

Performance of SVM and KNN models.

Instances (12280)	SVM		KNN
	Training (%) (8596 instances)	Testing (%) (3684 instances)	Training (%) (8596 instances)	Testing (%) (3684 instances)
Accuracy	94.99	86.6	88.3	85.1
Miss-classification rate	5.01	13.4	11.7	14.9
Precision	96.17	90.10	89.35	86.56
Sensitivity	97.83	94.54	97.31	97.51
F1-score	96.98	92.26	93.15	91.7