However, researchers still favor traditional approaches to obtain more interpretable models, such as Bayesian methods and decision trees when processing heterogeneous tabular data. Such models are ...

We call predictions with categorical labels ‘classifications’. We commonly use several basic models for classification, including Decision Trees, Support Vector Machines, Linear Regression, and so on.