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Machine learning

Lasso Regression

Lasso regression, iliyoanzishwa na Robert Tibshirani mnamo 1996, ni njia ya regresheni laini inayoongeza adhabu ya L1 kwenye hasara ili kupunguza vizio na kufanya uteuzi wa vigezo kwa wakati mmoja, ikitoa modeli isiyo na msongamano. Kwa kusukuma baadhi ya vizio kuwa sifuri kabisa, inahifadhi tu vitabiri muhimu.

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Vyanzo

  1. Tibshirani, R. (1996). Regression Shrinkage and Selection via the Lasso. Journal of the Royal Statistical Society: Series B, 58(1), 267–288. DOI: 10.1111/j.2517-6161.1996.tb02080.x

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 1). Least Absolute Shrinkage and Selection Operator (LASSO). ScholarGate. https://scholargate.app/sw/machine-learning/lasso-regression

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Imerejelewa na

ScholarGateLasso Regression (Least Absolute Shrinkage and Selection Operator (LASSO)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/machine-learning/lasso-regression · Seti ya data: https://doi.org/10.5281/zenodo.20539026