A novel machine learning strategy for model selections - Stepwise Support Vector Machine (StepSVM).

ABSTRACT: An essential aspect of medical research is the prediction for a health outcome and the scientific identification of important factors. As a result, numerous methods were developed for model selections in recent years. In the era of big data, machine learning has been broadly adopted for data analysis. In particular, the Support Vector Machine (SVM) has an excellent performance in classifications and predictions with the high-dimensional data. In this research, a novel model selection strategy is carried out, named as the Stepwise Support Vector Machine (StepSVM). The new strategy is based on the SVM to conduct a modified stepwise selection, where the tuning parameter could be determined by 10-fold cross-validation that minimizes the mean squared error. Two popular methods, the conventional

SUBMITTER: Guo CY 

PROVIDER: S-EPMC7451646 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature