/WW2-Temperature-Regression

Weather Conditions in WW2 with Linear Reg ,Lasso Reg, Decision Tree Reg, Random Forest Reg, XGBoost Reg, Bagging Reg, Neural Network

Primary LanguageJupyter NotebookMIT LicenseMIT

WW2-Temperature-Regression

Weather Conditions in World War Two

Dataset: https://www.kaggle.com/datasets/smid80/weatherww2/code?datasetId=3759&sortBy=voteCount
Kaggle: https://www.kaggle.com/code/ranjeetkumbhar/ww2-temperature-regression

Algorithms

1) Linear Reg
2) Lasso Reg                
3) Decision Tree Reg         
4) Random Forest Reg
5) XGBoost Reg
6) Bagging Reg                
7) Neural Network

Enjoy the Notebook :)
@Ranjeetkumbhar01

Linear Reg:

MAE :3.182757106660331
MSE :17.172876145270134
RMSE :4.14401690938516
R2 Score:0.7037342281447498
Model Score:0.770487023416084

Lasso

MAE :3.176158826654466
MSE :17.182177952481812
RMSE :4.145139075167661
R2 Score:0.6941091455538198
Model Score:0.7703627061239366

Decision Tree Reg

MAE :2.8258342816577673
MSE :14.54975982144768
RMSE :3.814414741667151 R2 Score:0.757873884829687
Model Score:0.8055445892142377

Random Forest

MAE :2.8260598353472317
MSE :14.55187810098038
RMSE :3.814692399261096 R2 Score:0.7577714001228368
Model Score:0.8055162787182745

XGBoost Reg

MAE :2.82582701611805
MSE :14.549649501041168
RMSE :3.814400280652408
R2 Score:0.757875740594527
Model Score:0.8055460636303262

Bagging Reg

MAE :2.8264361456328455
MSE :14.55302265172954
RMSE :3.8148424150585223
R2 Score:0.7575939103090761
Model Score:0.8055009819650067

Neural Net

MAE :2.894068504938244
MSE :15.210070574534132
RMSE :3.9000090480067007
R2 Score:0.7527074594461024