Vehicle Price Prediction with Boosted Decision Tree VS Decision Forest

In this article, we will see about the vehicle price prediction using Boosted Decision Tree against Decision Forest to check which algorithm works better with Automobile price data set in Azure Machine Learning Studio. Experiment Creation: The main steps of the experiment are: Step 1: Get data Step 2: Data cleansing Step 3: Feature Selection Step 4: Split the data into train and test Step 5: Train prediction model Step 6: Evaluate model performance Step 7: Publish prediction web service As you could run the experiment, it clearly showing that Boosted Decision Tree out performs the Decision Forest algorithm. Happy Learning!