When using multiple regression techniques,it is common to try out the resulting equation on a second sample to see if it still fits well.This process is known as

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Cross-validation is a statistical method used to estimate the skill of machine learning models. It is commonly used in applied machine learning to compare and select a model for a given predictive modeling problem because it is easy to understand, easy to implement, and results in skill estimates that generally have a lower bias than other methods.

When Using Multiple Regression Techniques,it Is Common to Try Out