/A-Fine-Windy-Day

Regression analysis on windmill power generation.

Primary LanguageJupyter Notebook

A-Fine-Windy-Day

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