Classification/Regression

There are two options for creating the machine learning model, Regression and Classification based on the type of prediction required:

Regression

Regression is used to predict a continuous numeric value, which may be beyond or within known labels. Applicable only for single numeric labels. For example, int, double.

Note:
Regression is not supported for non-numeric data types.

Classification

Used to classify tabular data (numeric, categorical, or text) into two or more categories.

Types of Classification:

• Binary Classification Trainer.

• Multi Classification Trainer.