Argthtjtr

I have a code to perform 10 fold cross-validation on a dataset. The code is created by dividing the data into k-1 parts for training and the remaining part for testing. I want to see if my code is correct or not
My code is:

 Dataset data = data1;

        Dataset folds = data.folds((10), new Random(100));

        Dataset training = new DefaultDataset();

        Dataset testing = new DefaultDataset();

        int tr = {0, 2, 3, 4,5, 6,7, 8, 9};

        int te = {1};   

        for (int i = 0; i < tr.length; i++) {

            training.addAll(folds[tr[i]]);

        }

        for (int i = 0; i < te.length; i++) {

            testing.addAll(folds[te[i]]);

        }

Assuming code in the line

data.folds((10), new Random(100));

is correctly sampling 10 percent of the data, and return all 10 folds to output variable, separating the dataset looks correct.

However, you should remember to iterate k times for k-fold cross validation and average results.

Source: https://en.wikipedia.org/wiki/Cross-validation_(statistics)#/media/File:K-fold_cross_validation_EN.jpg