Predicting the age of a brain from MRI features. Magnetic Resonance Imaging (MRI) is a medical imaging technic used in radiology to form pictures of the anatomy and the physiological processes of the body. More information can be found here.

The data for this task contains the following files:

• X_train.csv - the training features
• y_train.csv - the training targets
• X_test.csv - the test features (you need to make predictions for these samples)
• sample.csv - a sample submission file in the correct format

Each row in X_train.csv is one sample indexed by an id, so the first column contains the id. In addition to the id column, each sample has 832 features:

id,x0,x1,...,x831
0,10.8,832442.8,...,103088.6
...

The test set file (X_test.csv) has the same structure. The training targets (age in years) are contained in y_train.csv:

id,y
0,71
1,73
2,66
...