BMC Medical Informatics and Decision Making

Table 8 Precision, recall, and F-measure of machine learning classifiers for the four classes of glioma, meningioma, pituitary gland tumors, and healthy brain

From: MRI-based brain tumor detection using convolutional deep learning methods and chosen machine learning techniques

	KNN	RF	SVM	LR	SGD	MLP
Glioma
Precision	0.84	0.91	0.78	0.61	0.63	1.00
Recall	0.90	0.75	0.79	0.61	0.52	0.01
F-measure	0.87	0.83	0.79	0.61	0.57	0.02
Meningioma
Precision	0.93	0.80	0.79	0.61	0.65	0.32
Recall	0.80	0.80	0.73	0.60	0.23	0.81
F-measure	0.86	0.80	0.76	0.60	0.34	0.46
Pituitary gland tumor
Precision	0.91	0.76	0.83	0.74	0.48	0.00
Recall	0.92	0.95	0.93	0.76	0.90	0.00
F-measure	0.91	0.84	0.88	0.75	0.63	0.00
Healthy brain
Precision	0.77	0.83	0.83	0.52	0.43	0.14
Recall	0.88	0.78	0.75	0.52	0.55	0.19
F-measure	0.82	0.81	0.79	0.52	0.48	0.16

We bolded the parameters that had the best performance for each group

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ISSN: 1472-6947

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