Ukufumanisa iiMetrics zoVavanyo oluBalulekileyo
Kwihlabathi eliguquguqukayo lokuFunda koomatshini, ukuvavanya ngokuchanekileyo imodeli yokusebenza kubalulekile. Olu qeqesho lukwazisa kwiimetriki zovavanyo ezibalulekileyo. Umba osisiseko wokugweba ukusebenza kwemodeli yeML. Uya kukhokelwa kwii-nuances zeemetrics ezahlukeneyo, ezinje ngokuchaneka, ubuntununtunu, kunye neenkcukacha ezithile, ezidlala indima ebalulekileyo ekumiseleni umgangatho wemodeli.
Njengoko uqhubeka, uya kufunda ukutolika ezi metrics ngokunzulu, kukuvumela ukuba wenze uhlolo olunolwazi noluchanekileyo. Esi buchule sibaluleke ngokukhethekileyo kwicandelo leengcali, apho izigqibo ezisekelwe kwidatha ethembekileyo zinokuba nefuthe elikhulu kwimpumelelo yeshishini.
Ukongeza, uqeqesho lugxininisa ukubaluleka kokuqinisekiswa okunqamlezayo, ubuchule obunceda ukuqinisekisa ukuba imodeli yakho yomelele kwaye iyakwazi ukwenza ngokubanzi idatha entsha. Uya kwaziswa kwakhona kwiindlela zokujongana neeseti zedatha ezingalinganiyo, umngeni oqhelekileyo kwindawo yokufunda koomatshini.
Ukuqinisa ubuGcisa bokuQinisekisa
Uya kuntywila nzulu kubuchwephesha bemodeli yokufunda koomatshini obuphambili. Ugxininiso olukhethekileyo lubekwe kwi-cross-validation, indlela yokuvavanya amandla omzekelo wokwenza ngokubanzi, usebenzisa izahlulo ezahlukeneyo zedatha yoqeqesho novavanyo. Obu buchule bubalulekile ukunqanda ukufakwa ngokugqithisileyo kwaye uqinisekise ukuba imodeli yakho yomelele kwaye ithembekile.
Uya kwaziswa kwakhona kwiingcamango ezifana ne-ROC curve kunye nommandla ophantsi kwe-curve (AUC), izixhobo ezixabisekileyo zokuvavanya ukusebenza kweemodeli zokuhlela. Ezi ngcamango ziya kukunceda uqonde ngakumbi indlela yokuvavanya umgangatho kunye nokuthembeka kwemodeli, ukubonelela ngohlalutyo olucacileyo lomsebenzi wemodeli.
Ukongeza, uqeqesho lukhokelela kumanyathelo asebenzayo okuphumeza ezi ndlela zovavanyo, zibonelela ngemizekelo yehlabathi lokwenyani kunye nezifundo zemizekelo ukubonisa iikhonsepthi zethiyori. Le ndlela yokwenza izandla iya kukunceda ufumane ukuzithemba kunye nobuchule ekuvavanyeni iimodeli zeML.
Faka kwi-Practice: Uhlalutyo kunye nokutolikwa kweZiphumo
Ugxininiso lubekwe ekusebenziseni ulwazi olufunyenweyo. Uya kufunda indlela yokuhlalutya kunye nokutolika iziphumo zovavanyo lwemodeli yokufunda koomatshini, isakhono esibalulekileyo kuye nawuphi na umntu oyingcali onqwenela ukugqwesa kweli candelo.
Uya kukhokelwa kwinkqubo yokuhlalutya iziphumo, ukufunda ukuchonga amandla kunye nobuthathaka bomzekelo. Olu hlalutyo lubalulekileyo luya kukuvumela ukuba wenze iingcebiso ezinolwazi malunga nokuphuculwa kwemodeli, ukunceda ukwandisa ukusebenza kunye nokufezekisa iinjongo zesicwangciso sombutho wakho.
Uya kufunda indlela yokubonisa iziphumo zakho ngokucacileyo nangokukholisayo, uququzelela ukwenza izigqibo ezisekelwe kubungqina ngaphakathi kwintlangano yakho.
Ngokuziqonda kakuhle ezi zakhono, uya kuba nakho ukufaka isandla kakhulu kwinkalo yokuFunda ngoomatshini, unceda imibutho ukuba iphucule iimodeli zayo kwaye izalisekise amabhongo ayo kwihlabathi letekhnoloji elihlala litshintsha.
