id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
easat-8539	Topi, Ardiana ; Këlliçi, Erdet ; Hudhra, Daniel ; Topi, Dritan 	A machine learning-based classification of monocultivar olive oils—specifically Kalinjot, Ulli i bardhë Tirana, and Mixan—comparing their chemical composition	2025	18	.pdf	application/pdf	6553	337	49	The importance of features for predicting olive oil cultivar origin using the Random Forest classification model is presented in Figure 3. 𝐹1 𝑠𝑐𝑜𝑟𝑒 = 2 × 𝑅𝑒𝑐𝑎𝑙𝑙 × 𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛 𝑅𝑒𝑐𝑎𝑙𝑙 + 𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛 3. Results and Discussions Application of ML models for olive oil classification based on chemical composition has been successfully applied recently [22].	cache/easat-8539.pdf	txt/easat-8539.txt