Osisi Mkpebi na oke ọhịa enweghị usoro
Osisi mkpebi na-ebu amụma site n'ịjụ usoro ee / mba dị mfe, dị ka eserese mmiri.
Nchịkọta
A random forest combines hundreds of such trees and lets them vote, which is far more accurate and robust.
Ime miri emi
Osisi mkpebi na-ekewa data site na nzọụkwụ: na ọnụ ọnụ nke ọ bụla ọ na-ahọrọ njirimara na ọnụ ụzọ nke kacha ekewapụta nsonaazụ, wee alaka ruo mgbe ọ ruru amụma na akwukwo. Osisi na-ewu ewu n'ihi na ọ dị mfe ịgụ; ị nwere ike ịchọpụta kpọmkwem ihe mere e ji mee mkpebi. Adịghị ike ha karịrị akarị, ebe osisi miri emi na-eburu mkpọtụ n'isi ma buru amụma na-adịghị mma na data ọhụrụ. Oke ọhịa na-edozi nke a site n'ịzụ ọtụtụ osisi na usoro nke data (usoro a na-akpọ akpa) yana ihe ndị na-enweghị usoro nke atụmatụ na nkewa ọ bụla. Osisi ndị ahụ na-emehie ụzọ dị iche iche, ya mere, ịgbakọ vootu ha na-akagbu mmejọ nke onye ọ bụla. Nsonaazụ bụ otu n'ime algọridim kachasị ntụkwasị obi, na-emegharị ala maka data tabular, nke a na-ejikarị eme ihe tupu eruo mmụta miri emi.
Nghọta nka nka
A na-ahọrọ nkewa nke ọ bụla iji bulie 'ịdị ọcha'. Osisi nhazi ọkwa na-ebelata adịghị ọcha Gini ma ọ bụ entropy; Osisi nlọghachi azụ na-ebelata ọdịiche (njehie square). Oke ohia random na-agbakwunye isi mmalite abụọ nke randomness: bootstrap sampling (osisi ọ bụla na-ahụ ihe atụ na-esetịpụ na nnọchi) na nhọrọ njirimara enweghị usoro na nkewa ọ bụla. Nke a na-eme ka osisi dị mma n'ihi na nkezi amụma ha nwere obere mgbanwe karịa otu osisi ọ bụla, na-ebulighị oke. Ihe nlele na-abụghị akpa, hapụrụ na eriri akpụkpọ ụkwụ osisi ọ bụla, na-enye atụmatụ nkwado arụnyere n'ime ya.
Mmetụta atụmatụ
Mkpebi doro anya
Ọ na-enyere gị aka ikewapụta nkwupụta ọrụ aka doro anya na asụsụ ahịa.
Ọnụ ego na mmefu ego
Ị nwere ike ịjụ ajụjụ mmejuputa iwu ka mma tupu itinye ego ma ọ bụ oge.
Team na usoro ọrụ
Ndị otu nwere nghọta na-eme ka ngwaahịa, amụma na mkpebi mmụta ka mma.
Ọdịnihu nke Osisi Mkpebi na oke ọhịa enweghị usoro
Ọhịa dị larịị na-anọgide na-aga-na ntọala, mana ntụpọ atụgharịla n'osisi ndị nwere gradient dị ka XGBoost, LightGBM, na CatBoost, bụ ndị na-ewu osisi n'usoro iji dozie njehie mbụ na-abụkarị asọmpi data data. Mkpokọta osisi ndị a na-aga n'ihu na-eme ka netwọkụ akwara dị elu n'ọtụtụ ihe ndekọ data ahaziri ahazi. Na-atụ anya na ọrụ na-aga n'ihu na ọsọ ọsọ, ọzụzụ GPU, na karịsịa ngwaọrụ nkọwa dị ka SHAP, ebe ọ bụ na ịkọwapụta bụ isi ihe kpatara ụlọ ọrụ na-achịkwa na-ahọrọ ụdị osisi dabere na mmụta miri emi nke igbe ojii.
Mmejuputa n'ezie n'ụwa
Ị nweta akara kredit na nkwado mbinye ego, ebe ụlọ akụ na-eji ụzọ mkpebi doro anya, nke a ga-enyocha.
Amụma ihe egwu ahụike na ọkọlọtọ nke ihe ndị ọrịa butere nchoputa ma ọ bụ njikere.
Amụma ndị ahịa na-akpachapụ anya site na akaụntụ tabular yana data ojiji.
Ntụle njirimara-mkpa iji wepụta nke mgbanwe ndị kacha dị mkpa na nhazi data.
Ihe ize ndụ & okporo ụzọ nche
Otu dị iche iche nwere ike iji otu okwu ahụ mee ihe n'ụzọ dị iche, yabụ kọwapụta oge n'oge.
Ihe nrịbama nwere ike ịdị ike ebe arụmọrụ ụwa na-adaghị adaba.
Ileghara ogo data na atụmatụ nyocha anya na-emepụtakarị nsonaazụ na-adịghị mma.
Map mmejuputa
Malite na nkọwa asụsụ dị larịị nke nsonaazụ ịchọrọ.
Họrọ otu metrik ịga nke ọma na otu ọnọdụ ọdịda tupu nnwale.
Gbaa obere onye na-anya ụgbọ elu nwere data nnọchite anya, ọ bụghị ihe ngosi ngosi na-egbu maramara.
Detuo ebe osisi mkpebi na oke ohia na-enyere aka yana ebe ụzọ dị mfe ka mma.
Nọgide na-eme nchọpụta
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Ntuziaka na-esote
Mkpebi AI
Ajụjụ a na-ajụkarị
What is Decision Trees and Random Forests?
Osisi mkpebi na-ebu amụma site n'ịjụ usoro ee / mba dị mfe, dị ka eserese mmiri. Ọhịa na-enweghị usoro na-ejikọta ọtụtụ narị osisi ndị dị otú ahụ ma na-ahapụ ha ka ha votu, nke ziri ezi ma sie ike karị.
Kedu ka osisi mkpebi si eme amụma?
Osisi mkpebi na-ebute ntinye site na ajụjụ ngalaba gbasara njirimara ya ruo mgbe ọ ruru akwukwo na-enye amụma.
Gịnị bụ isi adịghị ike nke otu, miri mkpebi osisi?
Osisi ndị dị omimi nwere ike dabara na data ọzụzụ nke ọma, na-ewere mkpọtụ na ịkọwapụta nke ọma na ihe atụ ọhụrụ.
Kedu ka oke ọhịa na-enweghị usoro si eme ka mma n'otu osisi?
Site n'ịzụ ọtụtụ osisi ndị a na-achọ mma na nkezi ma ọ bụ ịtụ vootu, oke ọhịa na-akagbu mmejọ osisi nke ọ bụla ma na-ebelata oke oke.
Kedu ihe 'akpa' na-ezo aka n'ime ọhịa enweghị usoro?
Akpa (bootstrap aggregating) na-enye osisi ọ bụla ihe nlele na-enweghị atụ nke e sere na nnọchi ya, ya mere osisi ndị ahụ dị iche na nkezi ha kwụsiri ike.
Kedu metrik osisi nhazi ọkwa na-ejikarị họrọ nkewa?
Osisi nhazi ọkwa na-ewere nkewa nke na-ebelata ịdị ọcha Gini ma ọ bụ entropy, na-atụnye ka klaasị si dị na ọnụ ọnụ.