Machine learningMachine learning

Uboreshaji wa Gradient Ulioimarishwa

Uboreshaji wa gradient ulioimarishwa unapanua mkusanyiko wa miti ya nyongeza ya kawaida (Friedman 2001) kwa kuingiza vipengele vya adhabu vya L1 na L2 moja kwa moja kwenye lengo la mafunzo, pamoja na adhabu ya ugumu wa ukubwa wa mti. Umaarufu wake ulioimarishwa na XGBoost (Chen & Guestrin 2016), mfumo huu unapunguza upakiaji kupita kiasi na kuboresha uhalali ikilinganishwa na uboreshaji usio na adhabu, huku ukidumisha usahihi wa tabia wa mbinu kwenye data ya jedwali.

Fungua katika MethodMindHivi karibuniVideoHivi karibuniDownload slides

Soma mbinu kamili

Kwa wanachama pekee

Ingia kwa akaunti ya bure ili kusoma sehemu hii.

Ingia

Method map

The neighbourhood of related methods — select a node to explore.

Uboreshaji wa Gradient Ulioimarishwa

Kuimarisha Uimarishaji wa Mteremko LightGBM Regularized Decision Tree Msitu wa Kawaida wa Baha…XGBoost Kuimarisha kwa Kurekebis…CatBoost Iliyodhibitiwa Mafunzo yaliyoimarishwa…LightGBM Iliyoimarishwa

+2 more

Vyanzo

Chen, T. & Guestrin, C. (2016). XGBoost: A scalable tree boosting system. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 785–794. DOI: 10.1145/2939672.2939785 ↗
Friedman, J. H. (2001). Greedy function approximation: A gradient boosting machine. Annals of Statistics, 29(5), 1189–1232. DOI: 10.1214/aos/1013203451 ↗

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Regularized Gradient Boosting (L1/L2-Penalized Additive Tree Ensemble). ScholarGate. https://scholargate.app/sw/machine-learning/regularized-gradient-boosting

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.

KuimarishaUjifunzaji wa Mashine↔ compare
Uimarishaji wa MteremkoUjifunzaji wa Mashine↔ compare
LightGBMUjifunzaji wa Mashine↔ compare
Regularized Decision TreeUjifunzaji wa Mashine↔ compare
Msitu wa Kawaida wa BahatishaUjifunzaji wa Mashine↔ compare
XGBoostUjifunzaji wa Mashine↔ compare

Compare side by side →

Imerejelewa na

Kuimarisha kwa Kurekebishwa CatBoost Iliyodhibitiwa Mafunzo yaliyoimarishwa kwa njia ya shirikishi LightGBM Iliyoimarishwa Msitu wa Kawaida wa Bahatisha Ensemble ya Kujiregularisha kwa Kuunganisha (Regularized Stacking Ensemble)Uimarishaji wenye Nguvu wa Kukuza (Robust Gradient Boosting)

Umeona tatizo kwenye ukurasa huu? Ripoti au pendekeza marekebisho →