BMC Medical Imaging

Table 3 Performance of radiomics models in the validation set

From: Clinical-radiomics models based on plain X-rays for prediction of lung metastasis in patients with osteosarcoma

	AUC	ACC	Sensitivity	Specificity	F1score	Precision
KNN	0.792	0.701	0.650	0.737	0.642	0.634
LR SVM RF	0.792 0.807 0.795	0.742 0.784 0.732	0.600 0.700 0.700	0.842 0.842 0.754	0.658 0.727 0.683	0.727 0.757 0.667
DT	0.744	0.649	0.600	0.684	0.585	0.571
GBDT	0.782	0.794	0.700	0.860	0.737	0.778
AdaBoost	0.715	0.753	0.750	0.754	0.714	0.682
XGBoost	0.747	0.753	0.650	0.825	0.684	0.722

Note: AUC = area under curve, ACC = accuracy, LR = logistic regression, RF = random forest, DT = Decision Tree

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ISSN: 1471-2342

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