Njia za Kurekebisha Kidokezo kwa Regressioni Yenye Wingi (MARS)
Njia ya kurekebisha iliyobadilika kwa wingi, iliyoanzishwa na Jerome Friedman mwaka 1991, ni njia rahisi ya kurekebisha isiyo ya kigezo ambayo huunda kiotomatiki uhusiano usio wa mstari na mwingiliano kwa kuchanganya utendaji wa 'hinge' wenye mstari vipande vipande. Huunda modeli kwa hatua ya mbele ambayo huongeza utendaji wa msingi ambapo husaidia zaidi, kisha hupunguza modeli iliyokua kupita kiasi, ikitoa fomu ya jumla ya mwingiliano inayoeleweka ambayo hubadilisha ugumu wake kulingana na data.
Soma mbinu kamili
Ingia kwa akaunti ya bure ili kusoma sehemu hii.
Method map
The neighbourhood of related methods — select a node to explore.
Vyanzo
- Friedman, J. H. (1991). Multivariate adaptive regression splines. The Annals of Statistics, 19(1), 1–67. DOI: 10.1214/aos/1176347963 ↗
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 2). Multivariate Adaptive Regression Splines (MARS). ScholarGate. https://scholargate.app/sw/machine-learning/mars
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Mti wa UamuziUjifunzaji wa Mashine↔ compare
- Generalized Additive Model (GAM)Ujifunzaji wa Mashine↔ compare
- Uimarishaji wa MteremkoUjifunzaji wa Mashine↔ compare
- Regression SplinesUjifunzaji wa Mashine↔ compare
Imerejelewa na
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