Data Prediction Based on Support Vector Machine (SVM) - Taking Soil Quality Improvement Test Soil Organic Matter as an Example

Abstract

Support Vector Machine (SVM) is a machine learning language based on statistical learning theory, mainly used for data classification and regression analysis. Taking the soil quality improvement test soil sample organic matter data as an example, the support vector machine is used to train and predict the data, and the relative error between the predicted value and the actual sample value is analyzed to verify the support vector machine data prediction in the field of land engineering. Operationality, pointing out the inadequacies, in order to provide reference for relevant data analysis.