Chii chinonzi classifiers muchina kudzidza: Sarudzo Miti

Classifiers ari muchina kudzidza algorithms anoshanda nekupa kirasi kune chimwe nechimwe chinhu cheData Set.Kune marudzi akasiyana ezvigadziriso, zvatichaongorora muchinyorwa chino ndeye classifier iyo inoenderana nesarudzo miti.

Miti yesarudzo inomiririra yekudzidza mu machine learning. Muti idhizaini yedata ine ruzivo rwuri mumanodhi, uye node dzakabatana kune mumwe nemumwe kuburikidza nearcs. Manodhi akaiswa panzvimbo imwe arch inosangana neimwe.

Pazasi pane graphical inomiririra yemuti. Miti inogona kuve nemhando dzakasiyana dzeruzivo

Nemifananidzo tinogona kuona 6 node dzine zvinhu A, B, C, D, E, F ukuwo maarcs ari zvikamu zvinobatanidza ruzivo.

Chimiro chemuti chakadaro chine:

• node inonzi mudzi kana mudzi, kwatiri isu ndiyo ine mashoko A. Inogara iri node inodzika muti wose;
• iyo node B neC zvizvarwa zvenode A, nokuti kune ma arcs anosunga zvizvarwa kubva kune imwe nzvimbo yepamusoro;
• mapfundo asina dzinza anonzi mashizha, uye munyaya iyi ndiwo mafundo D, F uye C;
• mutiwo une hudzamu, ndiko kuti, chinhambwe chikuru kubva pamudzi kusvika pashizha, kwatiri 3

Mumuchina kudzidza sarudzo yemuti chimiro chinobva chaizvo kubva kurudzi urwu rwechimiro, mutsauko chete ndewekuti imwe neimwe node haina ruzivo asi ine mamiriro, mamiriro ekuongororwa. Miti iyi inodaidzwa zvakare kuti Classification And Regression Tree (CART), uye inovakwa mumuenzaniso uri kudzidziswa nemuchina.

Classification muenzaniso

Ngatitarisei nyaya iyo data kubva kumotokari sere inoongororwa. Pamotokari yega yega tinoziva kutamiswa uye mutengo wekutengesa sezvimiro, uye mota yega yega inoenderana nechinangwa cheChokwadi kana cheNhema chinotiudza kana mota iri mukana kana kuti kwete.

Pazasi pane tafura yepfupiso: