id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
easat-1097	Bussaban, Kanyarat ; Kularbphettong, Kunyanuth; Raksuntorn, Nareenart ; Boonseng, Chongrag 	Prediction of CO2 emissions using machine learning	2024	11	.pdf	application/pdf	4542	256	51	Mean Absolute Error (MAE) The Mean Absolute Error (MAE) is a commonly used metric for evaluating the performance of machine learning models including those used to predict CO2 emissions. Root Mean Square Error (RMSE) is a generally used metric for evaluating the performance of machine learning models including those used to predict CO2 emissions.	cache/easat-1097.pdf	txt/easat-1097.txt