Background Children with high autistic traits often exhibit deficits in drawing, an important skill for social adaptability. Machine learning is a powerful technique for learning predictive models fro
For each disorder, we compared the cross-validated classification performance of each model (e.g., left entorhinal cortex in Aregion) using either the fixed regularization parameter (C = 1) or by perf
BackgroundChildren with high autistic traits often exhibit deficits in drawing, an important skill for social adaptability. Machine learning is a powerful technique for learning predictive models from
For each disorder, we compared the cross-validated classification performance of each model (e.g., left entorhinal cortex in Aregion) using either the fixed regularization parameter (C = 1) or by perf
