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419013871. Basic Concepts:　　(1) 10 percent cross-validation: The English name is 10-fold cross-validation, which is used to test the accuracy of the algorithm. is a common test method. Divide the data set into 10 parts. In turn, 9 of these were used

1. The multiple facets of regression Regression type uses simple linear quantified explanatory variables to predict a quantified response variable (a dependent variable, an independent variable) polynomial a quantified explanatory variable predicts

In data analysis, we often encounter the problem of missing value. The general missing value of the processing method has the deletion method and the filling method. By deleting the method, we can delete the missing data samples or variables. The

Lesson 2 Lesson 2 Induction Regression is the relationship between variables Correlation coefficient Rss Linear regression via R language Multivariate linear model Dummy variable Dummy variable