Introduction
The supervised learning workflow in Synapsis ML: define the problem, prepare and transform labeled data, train, test and iterate, then deploy the model.
Predicting classes with classification
Classification in Synapsis ML: predict the class or category of a data point with an ensemble of decision trees trained by gradient boosting on labeled data.
Predicting numerical values with regression
Regression in Synapsis ML: predict continuous numerical values from feature variables with an ensemble of decision trees trained by gradient boosting.