Training the model

After you transform the dataset and apply the algorithm, a trained model is output.

Usually before training, the Split data preprocessing activity is used to split the dataset into training and testing part in a desired ratio. These observations provide a first glance in the correctness of the trained model, based on common logic perception.

  1. Select a quest.
  2. Drag and drop the Train Model activity box to the canvas.
    The Train Model Activity Catalog is displayed.
  3. Select the train model activity: Train Model.
  4. Specify the parameters required.
  5. Click the output port to view the output of the trained model.
    Depending on the algorithm that has been used, corresponding contents of the outcome are presented.
  6. Click Save and Run.