Data Scientists use machine learning techniques to make predictions under a variety of scenarios. Machine learning can be used to predict whether a borrower will default on his mortgage or not, or what might be the median house value in a given zip code area. Depending upon whether the prediction is being made for a quantitative variable or a qualitative variable, a predictive model can be categorized as regression model (e.g. predicting median house values) or classification (e.g. predicting loan defaults) model.
This is a companion discussion topic for the original entry at https://blog.datasciencedojo.com/classification-decision-trees/