Table 3.

Provides an in-depth analysis of performance of the four classes, namely, glioma, meningioma, pituitary, and no tumor for the FTVT models for multi-class brain tumor classification task using MRI scan imagery.

Model	Class	Evaluation metrics
		Accuracy (%)	Precision (%)	Recall (%)	F1 score (%)	Images misclassified
FTVT-b16	Glioma	98.85	98.63	96.33	97.47	11
	Meningioma	98.32	95.51	97.39	96.44	8
	Pituitary	99.31	98.34	98.67	98.50	4
	No tumor	99.69	99.51	99.51	99.51	2
FTVT-b32	Glioma	98.09	98.93	92.67	95.70	22
	Meningioma	96.94	91.05	96.41	93.65	11
	Pituitary	99.00	97.99	97.67	97.83	7
	No tumor	99.69	99.26	99.75	99.51	1
FTVT-l16	Glioma	99.38	98.99	98.33	98.66	5
	Meningioma	98.77	97.70	97.06	97.38	9
	Pituitary	98.03	99.67	98.67	98.84	2
	No tumor	99.77	99.75	99.51	99.63	1
FTVT-l32	Glioma	99.16	98.98	97.33	98.15	8
	Meningioma	98.70	96.46	98.04	97.24	6
	Pituitary	99.54	98.43	98.67	98.50	3
	No tumor	99.84	99.51	99.51	99.51	1