Identification of Dry Bean Varieties Based on Multiple Attributes Using CatBoost Machine Learning Algorithm

Table 6

Performance comparison with the existing method with 80 : 20 split.

Models	ML algorithms	Precision	Recall	f1-score	Accuracy in percentage
Koklu and Ozkan [11]	MLP	0.93	0.93	0.93	91.73
	SVM	0.94	0.94	0.94	93.13
	DT	0.89	0.88	0.88	87.92
	kNN	0.93	0.93	0.93	92.52
Proposed method	Random forest	0.93	0.93	0.93	93.29
	XGBoost	0.93	0.93	0.93	93.57
	CatBoost	0.94	0.94	0.94	94.25