Research on imbalance machine learning methods for MR $$T_1$$ WI soft tissue sarcoma data

BMC Medical Imaging

Table 3 17 different machine learning models

Number	Feature selection method	Sampling technique	Classification method
1	RFE	ROSE	ERT
2	RFE	SMOTE	ERT
3	RFE	STT	ERT
4	RFE	ADASYN	ERT
5	RFE	ROSE	RF
6	RFE	SMOTE	RF
7	RFE	STT	RF
8	RFE	ADASYN	RF
9	RFE	ROSE	BRF
10	RFE	SMOTE	BRF
11	RFE	STT	BRF
12	RFE	ADASYN	BRF
13	RFE	ROSE	SVM
14	RFE	SMOTE	SVM
15	RFE	STT	SVM
16	RFE	ADASYN	SVM
17	RFE	GDO	SVM

RFE recursive feature elimination; ROSE random oversampling examples; SMOTE synthetic minority oversampling technique; STT SMOTETomek; ADASYN adaptive synthetic samping; ERT extremely randomized trees; RF random forest; BRF balanced random forest; SVM support vector machine

ISSN: 1471-2342