BMC Medical Imaging

Table 4 The evaluation of the effectiveness of ML techniques using spatial features on test data

From: Novel transfer learning based bone fracture detection using radiographic images

Model	Accuracy	Target Class	Precision	Recall	F1 Score	Support
KNN	0.72	fractured	0.67	0.87	0.76	892
		non-fractured	0.81	0.57	0.67	881
		Average	0.74	0.72	0.72	1773
LGB	0.93	fractured	0.94	0.91	0.93	892
		non-fractured	0.91	0.95	0.93	881
		Average	0.93	0.93	0.93	1773
LR	0.64	fractured	0.63	0.70	0.66	892
		non-fractured	0.66	0.59	0.62	881
		Average	0.64	0.64	0.64	1773
RF	0.89	fractured	0.91	0.87	0.89	892
		non-fractured	0.87	0.91	0.89	881
		Average	0.89	0.89	0.89	1773

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ISSN: 1471-2342

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