Problem Types
The AI & Analytics Engine platform currently supports the following three types of Machine Learning problems:
Classification
To build models to learn to predict a categorical variable from other variables, treating each row as an example or observation and columns as the variables to learn/learn from. Examples include: Default vs Non-default
Regression
To build models to learn to predict a continuous variable from other variables, treating each row as an example or observation and columns as the variables to learn/learn from.
Forecasting a Time Series
To build models that forecasts values of continuous variable(s) into the future, treating the columns as a single observation of a time-varying phenomenon characterized by numerical values.