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Fig. 2 | Molecular Autism

Fig. 2

From: Sparsifying machine learning models identify stable subsets of predictive features for behavioral detection of autism

Fig. 2

Histogram of predicted probabilities of the two discarded models on the cross-validation set. The x-axis denotes the predicted probabilities and the y-axis the number of subjects. The top figure (a) corresponds to AdaBoost and the bottom figure (b) to Gradient Boosting. AdaBoost probability plot is unstable, and gradient boosting has a high rate of misclassification among the control subjects

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Molecular Autism

ISSN: 2040-2392