Fig. 3: Feature selection and validation of the classification model. | npj Parkinson's Disease

Fig. 3: Feature selection and validation of the classification model.

From: Investigating glymphatic function and bed nucleus of the stria terminalis-based functional connectivity in Parkinson’s disease with and without depression

Fig. 3

A Brain regions (right medial prefrontal cortex [mPFC_R], middle temporal gyrus [MTG_R], and inferior temporal gyrus [ITG_R]) showing significant between-group differences in seed-based functional connectivity values, selected as input features. B Model accuracy (y-axis) as a function of the number of features (x-axis). C Permutation test results (5000) showing the distribution of null accuracy (histogram) and observed accuracy (red vertical line). D The ROC curve of the binary classification model and its AUC value. mPFC medial prefrontal cortex, MTG middle temporal gyrus, ITG inferior temporal gyrus, L left, R right, ROC receiver operating characteristic, AUC area under curve.

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