Eight machine learning classifiers used for video analysis and autism detection.

The models were constructed from an analysis of archived medical records from the use of standard instruments, including the ADOS and the ADI-R. All 8 models identified a small, stable subset of features in cross-validation experiments. The total numbers of affected and unaffected control participants for training and testing are provided together with measures of accuracy on the test set. Four models were tested on independent datasets and have been mentioned in a separate “Test” category. The remaining 4, indicated with “Train/test,” used the given dataset with an 80%:20% train:test split to calculate test accuracy on the 20% held-out test set. The naming convention of the classifiers is “model type”-“number of features”.