In model fitting process, features are taken as training data and corresponding predicting targets are taken as training targets.
to build a classification model which can predict genders with obtained new images. 

Material and Methods

Data from 652 subjects were provided, including MRI images, brain masks, and grey matter maps which have already been extracted from a set of MRI scans and aligned to a common reference space to obtain spatially normalised maps. Meta data containing information about the subjects' IDs, their age and gender was provided as well.

Population Stastics Plot

Meta data was firstly loaded to provide an overview and visualization of the statistics of the population of 652 subjects. Gender distribution (as shown in figure 1), age normal distribution (as shown in figure 2) and age scattered distribution (as shown in figure 3) were shown in plots.