When the Altair Knowledge Studio AutoML node is connected to the source dataset, the AutoML prepares data for the ML model, automatically substituting missing values if they exist, perform variable transformations, and build out several models. Once the models are built and trained, the model with the highest rate of successful classification is identified using an Area Under Curve or AUC report.
When the Altair Knowledge Studio AutoML node is connected to the source dataset, the AutoML prepares data for the ML model, automatically substituting missing values if they exist, perform variable transformations, and build out several models. Once the models are built and trained, the model with the highest rate of successful classification is identified using an Area Under Curve or AUC report.