Build Model

Train a predictive model based on training data

This tool is currently in Beta and is still being tested. Want to learn more? Like to provide feedback? Please reach out to [e-mail]

Build Model allows you to train a predictive model based on training data.

Input/Output

Inputs	Outputs
Training table - must include column to use as the Target Variable (the variable you want the model to predict) and at least one column to use as the Predictor Variable (the variables that you think predict the Target Variable)	Trained model

Options

Option	Description
Model Type	The type of algorithm used to predict your Target Variable. The best model type will depend on your Target Variable. Includes the following options: Linear Regression: used with continuous, numeric Target Variables Logistic Regression: used with binary or categorical Target Variables Decision Tree Classifier: used with categorical Target Variables Decision Tree Regressor: used with continuous, numeric Target Variables.
Target Variable	Column in the source table you want the model to predict
Predictor Variables	Column(s) in the source table you think could predict your Target Variable