Lab 4 Multiple Linear Regression and Regularization in
Objectives:
• To learn how to predict data with the multiple linear regression models and the generalized linear regression models.
Data:
• Download the house price excels file from https://github.com/xbwei/machine_lear...
Steps:
1. Load the house_price data into RapidMiner.
2. Establish a Multi Linear Regression model to predict prices with areas, lot size, # of bedrooms, and # of bathrooms, report the R square of the training data and the test data.
3. Establish Ridge (L2) models and Lasso (L1) models to predict prices with different penalties (lambdas), describe and compare how the coefficients change with different lambdas in the Ridge models and the Lasso models.
4. Visualize the R squares of the training data and the test data with different lambdas from the Ridge models and the Lasso models.
More about RapidMiner: • Machine Learning Lab
For more concise tutorials, please check the following.
Machine Learning in Rapidminer: • Machine Learning in RapidMiner
Machine Learning in Python: • Machine Learning in Python