Some pictures of the project 💣
Model used in project
- LinearRegression
- Result: Root Mean Squared Error (RMSE): 6.797060013251237 R-squared (R2): 0.49382941068349395
- RandomForestRegressor
- Result: Random Forest RMSE: 4.589382240299312
- GBTRegressor (best result)
- Result: GBT RMSE: 3.3165151342090855 GBT R2: 0.8794912268299956