Splitting Data into Training and Test Sets

Before building a predictive model it is recommended that you split the dataset into subsets.

Splitting the dataset allows us to use a dataset to create our predictive models and then immediately test the validity of these models on different data.

The following datasets can be created:

• the training set, used to identify patterns in the data and build the model,

• the test set, used to assess the accuracy of the model and

• the optional validation set, which can be used for tuning the model parameters.

Splitting methods

There are two distinct tasks for splitting datasets in Rulex: