Feature Signature Discovery for Autism Detection: An Automated Machine Learning Based Feature Ranking Framework

Table 1

Summary of research findings from the literature on ASD classification using machine learning models.

Year	Data	Model	Features	Tool	Accuracy (%)	Evaluation
2019	Adult, adolescent, child—UCI [9]	SVM and RF	All	Matlab	100	90%–10% train-test
2021	Toddler data—Kaggle [24]	Neural network	Not specified	R-studio	99	Test data
2021	Adult, adolescent, child—UCI, and toddler [7]	Stochastic gradient descent, RF, AdaBoost	Not specified	Not mentioned	∼97	Not mentioned
2022	Adult, adolescent, child—UCI [8]	Voting meta classifier	Not specified	Flask web app	∼91–97	Stratified 10-fold cross-validation

SVM-support vector machine; RF-random forest.