Table 4. Open in new tab Machine... | Oxford Academic

Table 4.

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Machine Learning Models, Number of Selected Features, and Performance Metrics (Area Under the Curve [AUC], Balanced Accuracy, F1 Score, Precision, Sensitivity, Specificity)

	Glioma vs. all other pathologies	Glioma vs. metastasis	Glioma vs. inflammatory lesions	Glioma vs. intracerebral hemorrhage	Glioma vs. meningioma
Base	XGB	RF	XGB	RF	XGB
AUC	0.94	0.96	1.0	0.99	0.98
Balanced accuracy	0.82	0.83	0.97	0.98	0.88
F1 score	0.71	0.77	0.96	0.98	0.96
Precision	0.75	0.82	0.94	1.0	0.92
Recall/sensitivity	0.68	0.73	0.98	0.96	1.0
Specificity	0.95	0.93	0.96	1.0	0.77
No of features	47	33	48	22	56

	Glioma vs. all other pathologies	Glioma vs. metastasis	Glioma vs. inflammatory lesions	Glioma vs. intracerebral hemorrhage	Glioma vs. meningioma
Base	XGB	RF	XGB	RF	XGB
AUC	0.94	0.96	1.0	0.99	0.98
Balanced accuracy	0.82	0.83	0.97	0.98	0.88
F1 score	0.71	0.77	0.96	0.98	0.96
Precision	0.75	0.82	0.94	1.0	0.92
Recall/sensitivity	0.68	0.73	0.98	0.96	1.0
Specificity	0.95	0.93	0.96	1.0	0.77
No of features	47	33	48	22	56

Table 4.

Open in new tab

Machine Learning Models, Number of Selected Features, and Performance Metrics (Area Under the Curve [AUC], Balanced Accuracy, F1 Score, Precision, Sensitivity, Specificity)

	Glioma vs. all other pathologies	Glioma vs. metastasis	Glioma vs. inflammatory lesions	Glioma vs. intracerebral hemorrhage	Glioma vs. meningioma
Base	XGB	RF	XGB	RF	XGB
AUC	0.94	0.96	1.0	0.99	0.98
Balanced accuracy	0.82	0.83	0.97	0.98	0.88
F1 score	0.71	0.77	0.96	0.98	0.96
Precision	0.75	0.82	0.94	1.0	0.92
Recall/sensitivity	0.68	0.73	0.98	0.96	1.0
Specificity	0.95	0.93	0.96	1.0	0.77
No of features	47	33	48	22	56

	Glioma vs. all other pathologies	Glioma vs. metastasis	Glioma vs. inflammatory lesions	Glioma vs. intracerebral hemorrhage	Glioma vs. meningioma
Base	XGB	RF	XGB	RF	XGB
AUC	0.94	0.96	1.0	0.99	0.98
Balanced accuracy	0.82	0.83	0.97	0.98	0.88
F1 score	0.71	0.77	0.96	0.98	0.96
Precision	0.75	0.82	0.94	1.0	0.92
Recall/sensitivity	0.68	0.73	0.98	0.96	1.0
Specificity	0.95	0.93	0.96	1.0	0.77
No of features	47	33	48	22	56