Table 3 Model and library/class.

From: Comparative analysis of machine learning techniques for temperature and humidity prediction in photovoltaic environments

Model

Library/Class

Decision tree

“sklearn.tree.DecisionTreeRegressor”

LR

“sklearn.linear_model.LinearRegression”

RR

“sklearn.linear_model.Ridge”

Lasso regression

“sklearn.linear_model.Lasso”

SVR

“sklearn.svm.SVR”

RF

“sklearn.ensemble.RandomForestRegressor”

GB

“sklearn.ensemble.GradientBoostingRegressor”

AdaBoost

“sklearn.ensemble.AdaBoostRegressor”

XGBoost

“xgboost.XGBRegressor”