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Linear Regression (ML)

Linear regression fits a straight-line relationship between one or more input features and a continuous numeric outcome by minimising the sum of squared prediction errors. As a machine-learning model it is trained on labeled examples and evaluated on held-out data, making it the simplest supervised learning baseline for any regression task.

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Linear Regression as a Machine Learning Model

Taksonoomiline meetodikirje · ml-model / machine-learning

Hastie, T., Tibshirani, R. & Friedman, J. (2009). The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2nd ed., Ch. 3). Springer. · ISBN 978-0-387-84858-7
James, G., Witten, D., Hastie, T. & Tibshirani, R. (2013). An Introduction to Statistical Learning (Ch. 3). Springer. · ISBN 978-1-4614-7138-7

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Same method familyDecision Treemachine-suggested · Relational suggestion, not evidence.Same method familyGradient Boostingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketLogistic regression (ML)machine-suggested · Relational suggestion, not evidence.Same method familyRandom Forestmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRegularized linear regressionmachine-suggested · Relational suggestion, not evidence.