Machine learning

Rigidna regresija

Rigidna regresija je metoda linearne regresije sa L2 regularizacijom, koju su uveli Arthur Hoerl i Robert Kennard 1970. godine, a koja smanjuje multikolinearnost dodavanjem penala na veličinu koeficijenata. Ona smanjuje koeficijente ka nuli, a da nijedan od njih ne postavi tačno na nulu, proizvodeći stabilnije procene kada su prediktori visoko korelirani.

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Izvori

  1. Hoerl, A.E. & Kennard, R.W. (1970). Ridge Regression: Biased Estimation for Nonorthogonal Problems. Technometrics, 12(1), 55–67. DOI: 10.1080/00401706.1970.10488634

Kako citirati ovu stranicu

ScholarGate. (2026, June 1). Ridge Regression (L2-Regularized Linear Regression). ScholarGate. https://scholargate.app/sr/machine-learning/ridge-regression

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ScholarGateRidge Regression (Ridge Regression (L2-Regularized Linear Regression)). Preuzeto 2026-06-15 sa https://scholargate.app/sr/machine-learning/ridge-regression · Skup podataka: https://doi.org/10.5281/zenodo.20539026