Results from the training set
breast cancer, ovarian cancer, abortion
REGRESSION, OVARIAN CANCER, BREAST CANCER
For the training set, 12 variables were included in the backward logistic regression model, which ended up with 9 variables (Table Logistic regression analyses on associations between established risk factors and breast cancer.Similar to the results from the feature selection procedure in the backward logistic regression, LASSO regression model also selected age, age at menarche, age at first live birth, number of birth, number of abortion, family history and prior breast surgery as the main predictors for breast cancer. However, BMI and breast feeding period ≥12 months were associated with breast cancer in the LASSO model, but not involved in the backward logistic regression model. For SVM, all the 12 risk factors for breast cancer were included in the training procedure. Among the 12 variables, the top three important variables were abortion, family history of breast cancer and ovarian cancer and prior breast surgery (Table 