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Published at November 8

Towards Equitable ASD Diagnostics: A Comparative Study of Machine and Deep Learning Models Using Behavioral and Facial Data

cs.CV

cs.AI

cs.LG

Released Date: November 8, 2024

Authors: Mohammed Aledhari, Mohamed Rahouti, Ali Alfatemi

Arxiv: http://arxiv.org/abs/2411.05880v1

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ML Models Results (70% Training 30% Testing)
Validation Accuracy - Children with ASD
Support Vector Machine	0.90
Random Forest	1.0
Gaussian Naive Bayes	0.94
KNN	0.86
Validation Accuracy - Adults with ASD
Support Vector Machine	0.89
Random Forest	0.99
Gaussian Naive Bayes	0.98
KNN	0.91
Validation Accuracy - Adolescents with ASD
Support Vector Machine	0.90
Random Forest	1.0
Gaussian Naive Bayes	0.84
KNN	0.90