Create the test case @param testName name of the test case

Create the test case @param testName name of the test case

Constructor for WeightedMatrix @param input Array of Vectors @param k Number of nearest neighbors @param matrixType

Create the test case @param testName name of the test case

Create the test case @param testName name of the test case

Create the test case @param testName name of the test case

Builds the classifier given the Dataset. Dataset is splited using cross-validation with 80-20 proportion. ds (Da

In this implementation, the training of the Naive Bayes Classifier will be is just calculate the ratio of ocurrencies of each class a

return accuracy score

return AUC score (for binary problems only)

return f1 score

return negative mean cross entropy since we're maximizing the score for hillclimbing

return 1-rmse since we're maximizing the score for hillclimbing

Add the given FPNode `child` as a child of this node.

Returns best model found after CV scoring

The nodes that are children of this node.

Given my classifier and test_set, Evaluate my score and give me a Confusion Matrix. classifier (GaussianNB), tes