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.