Random Forest – StepUp Analytics

However, both are equally important concepts of data science. Having said that, there are several dissimilarities between the two concepts also. In case of regression, as we all know the predicted outcome is a numeric variable and that too continuous. For a classification task, the predicted outcome is not numeric at all and represents categorical classes or factors i.e. the outcome variable in such a task has to be assuming limited number of values which may be binary in nature (dichotomous) or multinomial (having more than 2 classes). We in our analysis are motivated to work only on the'classification' scheme of tasks from a predictive analysis domain keeping our focus not on regression trees but only on classification trees, as the name suggests'Classification and Regression Trees'.