Dataset: https://www.kaggle.com/synergystud/a-fine-windy-day-hackerearth-ml-challenge?select=train_data.csv
EDA and Preprocessing: https://www.kaggle.com/aryarishabh/predicting-the-power-generated-using-mixed-model
Bayesian Optimization: https://github.com/lucarabbione/BayesianOptimization/blob/master/bayopt%2Bxgbregressor.ipynb
Model | R2 | RMSE | MAE |
---|---|---|---|
Random Forest | 0.9692 | 0.4769 | 0.2906 |
Tuned XGBoost | 0.9705 | 0.4668 | 0.2994 |
Tuned Gradient Boosting | 0.9701 | 0.4696 | 0.2991 |
Tuned Random Forest | 0.9709 | 0.4661 | 0.2852 |