In this paper, we propose a logistic regression classification method based on the integration of statistical learning model with linearized kernel pre-processing. The single Gaussian and fusion cosine kernels are adopted for pre-processing respectively. models generalized linear additive model. Using model, elastic net regularization is to explore grouping effect feature space. an overlap grou...