An Efficient Machine Learning-Based Feature Optimization Model for the Detection of Dyslexia

Table 5

Comparison of proposed methodology with various dyslexia detection techniques with state-of-the-art.

Reference	ML technique used	No. of subjects	Accuracy (%)
[21]	SVM	185	90
[22]	SVM	236	65
[23]	SVM	61	83
[11]	ANN	—	75
[20]	Naive Bayes classifier	313	80.1
[24]	Linear discriminate analysis	313	73.9
Proposed	PCA + ANN	3644	95