The application of different machine learning models based on PET/CT images and EGFR in predicting brain metastasis of adenocarcinoma of the lung

Table 6 Machine learning-based radiomics combined analysis of brain metastasis prediction results of lung adenocarcinoma

Model		Accuracy	Sensitivity	Specificity	AUC
Groupe	Machine learning classification	Accuracy	Sensitivity	Specificity	AUC
CT
	NN	0.61	0.50	0.72	0.70
	NB	0.61	0.38	0.68	0.68
	RF	0.61	0.64	0.60	0.60
	LR	0.68	0.67	0.65	0.65
	AdaBoost	0.70	0.78	0.64	0.64
	SVM	0.63	0.62	0.78	0.70
PET
	NN	0.70	0.31	0.72	0.61
	NB	0.61	0.38	0.69	0.65
	RF	0.52	0.54	0.50	0.57
	LR	0.61	0.76	0.56	0.70
	AdaBoost	0.65	0.79	0.63	0.60
	SVM	0.71	0.72	0.80	0.76
PET/CT
	NN	0.63	0.68	0.56	0.67
	NB	0.63	0.77	0.43	0.79
	RF	0.73	0.89	0.38	0.73
	LR	0.66	0.43	0.77	0.80
	AdaBoost	0.70	0.54	0.78	0.67
	SVM	0.73	0.77	0.83	0.82

ISSN: 1471-2407