The 15 machine learning algorithms used to analyze the Autism Genetic Resource Exchange ADI-R data.
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These algorithms were deployed using the toolkit WEKA [28]. The false positive rate (FPR) and true positive rate (TPR) are provided together with overall accuracy. The Alternating Decision Tree (ADTree) performed with highest accuracy and was used for further analyses.
创建时间：
2015-12-02
