工业化标准的AI建模： 问题建模，特征探索，特征筛选，模型训练以及融合，模型诊断、优化

多种算法的梯次配置： DNN、Wide and Deep完成分类，随机森林、XGBOOST、逻辑回归 、ADABOOST等完成分类子任务

多年保险风控专家经验沉淀： 特征筛选，特征工程

AI Modeling by industrial standards: Problem Modeling. Feature Exploration. Feature Filtering. Training & Model ensemble. Model diagnostic & optimizing

Multiple Algorithm echelon configuration: DNN, Wide and Deep. Radom Forest, XGBoost, Logic Regression, ADABoost

Years of insurance risk control experience: Feature selection. Feature engineering