Code for Quantitative Assessment of Factors Influencing Heat Vulnerability in Residential Areas using Machine Learning and UAV Data
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https://zenodo.org/record/12793155
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资源简介：
Author: Ja Woon Gu
Email: umseakind2@kwater.or.kr
Date: 2024-07-22
Version: 1.0
Description:
This script compares multiple regression models using GridSearchCV and RepeatedKFold cross-validation.
The script identifies the best performing model based on the mean cross-validation score (neg_mean_squared_error).
It performs residual analysis including normality, homoscedasticity, and autocorrelation checks.
Models included:
- DecisionTreeRegressor
- ExtraTreesRegressor
- AdaBoostRegressor
- XGBRegressor
- LGBMRegressor
- CatBoostRegressor
- RandomForestRegressor
- GradientBoostingRegressor
The best model's feature importances are calculated and plotted.
Residuals are analyzed using Shapiro-Wilk, Levene's, and Durbin-Watson tests.
创建时间：
2024-11-14
