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. 2018 Nov 27;15(11):e1002705. doi: 10.1371/journal.pmed.1002705

Fig 3. Overall procedure for rapid and mobile classification of ASD versus non-ASD and performance of models from Table 1.

Fig 3

Participants were recruited to participate via crowdsourcing methods and provided video by direct upload or via a preexisting YouTube link. The minimum for majority rules of 3 video raters tagged all features, generating feature vectors to run each of the 8 classifiers automatically. The sensitivity and specificity based on majority outcome generated by the 3 raters on 162 (119 with autism) videos are provided. Highlighted in yellow is the best performing model, LR5. ADTree7, 7-feature alternating decision tree; ADTree8, 8-feature alternating decision tree; ASD, autism spectrum disorder; LR5, 5-feature logistic regression classifier; LR9, 9-feature logistic regression classifier; LR10, 10-feature logistic regression classifier; SVM5, 5-feature support vector machine; SVM10, 10-feature support vector machine; SVM12, 12-feature support vector machine.