A Predictive Model Based on SVM-CART-MLP Ensemble Learning

In order to propose an effective machine learning prediction model. This paper constructs an ensemble learning prediction model based on a support vector machine (SVM), classification regression tree (CART), and multi-layer perceptual base (MLP), applying R^2 and RMSE to measure the accuracy of the prediction model and compares three The performance of the base learner. The results show that: (1) the RMSE and other parameters of the ensemble learning are small, the R2 is larger, and the prediction effect is significantly higher than that of the basic learner (2) the ensemble learning model based on SVM-CART-MLP has three-time intervals R2 and RMSE. Performance 0.98 vs 0.135.These models have strong general and scalable conditions.