Train a regression model using a decision tree

we only focus on decision trees with a regression task. For this, the equivalent Scikit-learn class is DecisionTreeRegressor. We will start by discussing how to train, visualize and make predictions with Decision Trees for a regression task. We will also discuss how to regularize hyperparameters in decision trees.

House Price Prediction in Natural Hazard Prone Areas - Part 2

Different Regression models i.e. Linear Regression, Decision Tree Regression, Gradient Boosted Regression, and Random Forest Regression were used. The performance of those models using R² were compared. Based on these performance score, better performing model were suggested to predict house price.

Decision Tree -Classification

Decision Tree is one of the most widely used machine learning algorithm. It is a supervised learning algorithm that can perform both classification and regression operations.

Binary Decision Trees

Regression Trees