House Prices XGBRegressor & LightGBMRegressor

DataSet From Kaggle - House Prices

Overview

• Language: Python v3.9.15
• Package: xgboost, lightgbm
• Model: XGBRegressor, LGBMRegressor
• Loss Function: Mean Squared Error
• Fill in a lot of missing values

Data Distribution

• Histogram of Values for Each Field

• Scatter Plot of Each Field Against Price

Correlation Matrix

Result

• Best Model With Params: XGBRegressor(n_estimators = 2000, reg_lambda = 10, max_depth = 3)
• Mean Squared Error: 2801.275107982908