What is overfitting in regression?
When the model learns noise in the training data, leading to a complex line that performs poorly on test data.
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More FAQs in What is Linear Regression? A Beginner Friendly Guide
Simple regression uses one input variable, while multiple regression uses two or more input variables to make predictions.
No, it is used for continuous numerical predictions. For categories, use Logistic Regression.
It means 85% of the variance in the target variable is explained by the input features in your model.
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