I want the code please(In java):

Use the KNN classifier to produce the confusion matrix (TP, TN, FN, FN) and then find the classification accuracy by using all features in a dataset.

Some small datasets are attached for your convenience.

The second phase, try to reduce the number of features as much s you can. Use a brute force algorithm to test all possible combinations,