Fig. 6
From: A machine learning approach on multiscale texture analysis for breast microcalcification diagnosis
![Fig. 6](http://media.springernature.com/full/springer-static/image/art%3A10.1186%2Fs12859-020-3358-4/MediaObjects/12859_2020_3358_Fig6_HTML.png)
Median accuracy (%) with the growth of the number of features. The median value is calculated on 100 rounds of 10-fold cross validation for increasing values of the number of features used to train the proposed model to classify ROIs into a normal/abnormal b and benign/malignant. Two different feature selection approaches are used, that are embedded (red line) and filter (blue line) methods