Table 6 Top five important risk factors in descending order for different ML algorithms based on the Swiss clinical-based training samples in 10-fold internal statistical cross-validations
ML: random forest | ML: logistic regression | ML: adapt boosting | ML: linear model | ML: K-nearest neighbors | ML: linear discriminant | ML: quadratic discriminant | ML: MCMC GLMM |
|---|---|---|---|---|---|---|---|
Breast cancer age onset | Age | Breast cancer age onset | Age | Family history | Age | Breast cancer age onset | Breast cancer age onset |
Age | Breast cancer age onset | Age | Breast cancer age onset | Mutation | Breast cancer age onset | Mutation | Age |
Mutation | Ashkenazi Jewish origin | Mutation | Ashkenazi Jewish origin | Age | Mutation | Age | Mutation |
Ashkenazi Jewish origin | Ovarian cancer age onset | Ashkenazi Jewish origin | Mutation | Ashkenazi Jewish origin | Ashkenazi Jewish origin | Ashkenazi Jewish origin | Ovarian cancer age onset |
Ovarian cancer age onset | Mutation | Ovarian cancer age onset | Ovarian cancer age onset | Ovarian cancer age onset | Ovarian cancer age onset | Ovarian cancer age onset | Ashkenazi Jewish origin |