Model training and testing

Consider these questions for model training and testing. Use the Algorithm Quick Reference inside the application to help in these decisions.

  • Are you going to let the model learn by itself (unsupervised learning), or are you going to guide the ML training through (supervised learning)?
  • Is the problem type a classification, regression, clustering problem, or something else?
  • Which modeling approach is suitable for your use case?
  • Iteration: How many times is your model going to run through the training dataset?

If the dataset is very large, the training process may take a long time.