Definition - MACHINE LEARNING BASICS - Regression
Regression is a supervised learning method for predicting continuous values. It involves finding the best-fitting line that minimizes errors between predictions The goal of regression is to create a model that accurately predicts outcomes Linear regression is the most common type of regression, but others exist too Overfitting and underfitting are common issues in regression models without proper regularization
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