Fig. 4From: An application of machine learning with feature selection to improve diagnosis and classification of neurodegenerative disordersClassification after PCA analyses. Graphs detail the results obtained for PCs ranges 1-8 and 10-15. Figure 4a details the number of instances correctly and incorrectly classified vs. classification results with all features. Figure 4b compares both true positive rates and ROC metricBack to article page