Résumé
Overfitting mooy su model bi jàppee ay done yuñ tàggat ba noppi jàllul ci misaal yu bees yi; underfitting mooy su amee lu yomb lool ngir jàpp motif bi dëgg. Jafe-jafe bi gëna mag ci jàngu masin mooy xam barab bu neex bi ci seen biir.
Overfitting ak Underfitting bokk nañu ci jumtukaayi IA yi. Soo ko xamee, yeneen mbir ci IA dañuy gëna yomba jàngat ak méngale.
Plongeur bu xóot
Bépp model mën na ànd ak tàggat bu am àpp, waaye mébet bi mooy ñu mëna def lu baax ci done yuñu gisul. Benn xeetu overfit dafay jàppee bruit ak quirks yi ci ensemble tàggat yaram ni dañuy nekk siñaal dëgg: mën na am 99% ci done tàggat yaram waaye daanu ba 70% ci ensemble test. Benn xeetu underfit mooy jafe-jafe bi ci beneen wàll bi, dafa dëgër lool ngir jàpp structure bi ci suuf, moo tax du def lu baax ci done tàggat ak test yépp. Diggante tàggat yaram ak def examen mooy màndarga biy wane. Underfitting dafay wane njuumte yu bari fépp (bias bu bari); overfitting dafay wane njuumte ci tàggat yaram bu néew waaye njuumte ci test bu rëy (variance bu rëy). Xam-xam bi mooy xam ban jafe-jafe nga am, ndax saafara yi dañuy jëm ci yoon yu wuute.
Gis-gis xarala
Overfitting ak underfitting ñaari njeextalu njaayum bias-variance lañu. Bias njuumte la bu bawoo ci xalaat yu yomb lool; variance njuumte la ci nekk sensible lool ci misaalu tàggat bi. Benn model ligneer bu ndaw amna biais bu rëy ak variance bu néew (ñu mënatul); xeetu model bu rëy bu amul ay tënk amna parçage bu néew ak variance bu rëy (overfits). Tolluwaayu njuumte bi ñuy seentu dafay nuru biais-carré boole ci variance boole ci bruit buñu mënul wàññi. Praktisien yi dañuy gis jafe-jafe bi suñu méngalee njubte gi ci ensemble tàggat bi ak ensemble validation biñ tëye, di xool fi ñaari courbe yi di wuute.
Jàppale Overfitting ak Underfitting
Overfitting mooy su model bi jàppee ay done yuñ tàggat ba noppi jàllul ci misaal yu bees yi; underfitting mooy su amee lu yomb lool ngir jàpp motif bi dëgg. Jafe-jafe bi gëna mag ci jàngu masin mooy xam barab bu neex bi ci seen biir. Overfitting ak Underfitting bokk nañu ci jumtukaayi IA yi. Soo ko xamee, yeneen mbir ci IA dañuy gëna yomba jàngat ak méngale. Ngir tabax xam-xam bu xóot, jàpp Overfitting ak Underfitting ni xeetu liggéey, du benn màndarga: leeral njariñ yi nga bëgg, leeral xalaat yi, ba noppi tàqale li sistem bi mëna def ci anam wu wóor ak li ba leegi soxla àtteb kàngam.
Ci jëf, ekip yu am doole yiy jëfandikoo Overfitting ak Underfitting dañuy njëkka tabax xeetu konseptioŋ yu dëgër, ba noppi ñu méngale xeetu liggéey yooyu ak ay jafe-jafe liggéey dëgg. Dañuy bind kritër yu leer ngir am ndam, natt leen ci done yu dëggu ak def liggéey, ba noppi ñu baamtu ci anamu ñàkka mëna seetlu, du ci benn yoon benchmark wins. Mooy barab bi xam-xam theorie bi di soppiku nekk kàttan buy yàgg ci produit yi, ci politik yi ak ci liggéey yi.
Daf lay jàppale nga tàqale kàddu yu leer ci wàllu xarala ak làkku fësal njaay. Ci jamano jooju, ekip yu wuute mën nañu jëfandikoo benn baat ci anam wu wuute, kon teela leeral yaatuwaayam. Xeetu jëf bi gëna dëgër mooy boole gaawaayu jàngat ak disipline nguur: doxal pilote, jàpp firnde, siiwal dogal yi, ak wéy di yeesal kaaraange gi ci anam wi ñuy doxalee, li jëfandikukat bi di xaar, ak sàrti sàrt yi di jëm kanam.
njeextalu pexe
Daf lay jàppale nga tàqale kàddu yu leer ci wàllu xarala ak làkku fësal njaay.
Daf lay jàppale nga tàqale kàddu yu leer ci wàllu xarala ak làkku fësal njaay. Ci jëfandikoo yu am kalite bu kawe, loolu dañu koy tekki ci sàrti liggéey yuñ mëna natt, ay peggu boroom, ak ay xew-xewu xoolaat yu bari suko defee ekip yi mëna yokk wóolu seen bopp ci barabu yokk lu jaxasoo.
Mën nga laaj laaj yu gëna baax ci samp gi balaa ngay dugal xaalis wala sa jotu liggéey.
Mën nga laaj laaj yu gëna baax ci samp gi balaa ngay dugal xaalis wala sa jotu liggéey. Ci jëfandikoo yu am kalite bu kawe, loolu dañu koy tekki ci sàrti liggéey yuñ mëna natt, ay peggu boroom, ak ay xew-xewu xoolaat yu bari suko defee ekip yi mëna yokk wóolu seen bopp ci barabu yokk lu jaxasoo.
Ekip yi bokk xam-xam ñoo gëna mëna jël yenn dogal ci wàllu produit, politik ak jàng.
Ekip yi bokk xam-xam ñoo gëna mëna jël yenn dogal ci wàllu produit, politik ak jàng. Ci jëfandikoo yu am kalite bu kawe, loolu dañu koy tekki ci sàrti liggéey yuñ mëna natt, ay peggu boroom, ak ay xew-xewu xoolaat yu bari suko defee ekip yi mëna yokk wóolu seen bopp ci barabu yokk lu jaxasoo.
Doxal ci àdduna dëgg
Seggal spam buy màndargaal bépp imeel bu am tur wiñ ko yónnee ndax ki ko yónnee dafa spam bu baax ci done yiñ tàggat, te amul spammer yu bees (overfitting).
Xeetu njëgu kër buy jëfandikoo meetar kaare kese te baña bàyyi xel ci barab bi, néeg yi ak anam wi ñu ko defee, moo tax dafay namm bu baax ci dëkkuwaay yu seer yi (underfitting).
Benn nataalu medsin buy jàng ngir gis filigranu scanner bu hopitaal bi ci barabu feebar bi, ba noppi mu lajj ci yeneen hopitaal yi (overfitting ci benn manndarga bu dul dëgg).
Tracé perte de formation ak perte de validation ci diiru formation bi ak taxawal su perte de validation tàmbalee yokk ci diir bi perte de formation di wéy di wàññeeku (teela jàpp overfitting).
Modèlu jëfandikoo
Overfitting ak Underfitting ci jëf
Seggal spam buy màndargaal bépp imeel bu am tur wiñ ko yónnee ndax ki ko yónnee dafa spam bu baax ci done yiñ tàggat, te amul spammer yu bees (overfitting).
Seggal spam buy màndargaal bépp imeel bu am turu yónneekat bi ndax yónneekat bi dafa spam bu baax ci done yi ñuy tàggat, ñàkk spammers yu bees yépp (overfitting) Ekip yi dañuy faral di am njariñ yu gëna baax suñu joxee thresholds yu baax ci kanam, tëye yoonu escalation nit ngir produit error cases, ak gains time ci both.
Overfitting ak Underfitting ci jëf
Xeetu njëgu kër buy jëfandikoo meetar kaare kese te baña bàyyi xel ci barab bi, néeg yi ak anam wi ñu ko defee, moo tax dafay namm bu baax ci dëkkuwaay yu seer yi (underfitting).
Benn xeetu njëgu kër buy jëfandikoo pied carré kese te baña bàyyi xel ci barab bi, néeg yi, ak anam wi ñu ko defee, moo tax dafay ñàkk bu baax ci dëkkuwaay yu seer yi (underfitting) Ekip yi dañuy faral di am njariñ yu gëna baax suñu joxee threshold yu baax ci kanam, tëye yoonu escalation nit ngir produit error cases, ak topp e both time.
Overfitting ak Underfitting ci jëf
Benn nataalu medsin buy jàng ngir gis filigranu scanner bu hopitaal bi ci barabu feebar bi, ba noppi mu lajj ci yeneen hopitaal yi (overfitting ci benn manndarga bu dul dëgg).
Benn nataalu pajum classifier buy jàng gis filigran scanner hopitaal ci barabu feebar bi, te daanu ci yeneen hopitaal (overfitting ci benn manndarga bu dul dëgg) Ekip yi dañuy faral di am njariñ yu gëna baax suñu joxee thresholds yu baax ci kanam, tëye yoonu escalation nit ngir jafe-jafe yi, ak gains error ci diir bi.
Overfitting ak Underfitting ci jëf
Tracé perte de formation ak perte de validation ci diiru formation bi ak taxawal su perte de validation tàmbalee yokk ci diir bi perte de formation di wéy di wàññeeku (teela jàpp overfitting).
Ploting tàggat tàggat ak ñàkk validation ci diiru tàggat ak taxaw su validation ñàkk tàmbali yokk bi tàggat tàggat wéy di wàcci (jàpp overfitting teel) Ekip yi dañuy faral di am njariñ yu gëna baax suñu joxe thresholds kalite ci kanam, tëye yoonu escalation nit ngir produit error cases, ak gains e ñaari yoon.
Risk yi ak balustrade yi
Ekip yu bari mën nañu jëfandikoo benn baat ci anam wu wuute, kon teela leeral yaatuwaayam.
Benchmark yi mën nañu nuru lu am doole waaye performance yi ci àdduna bi duñu tolloo.
Bëgg kalite done ak palaŋu jàngat dafay faral di jur njariñ yu yomba dagg.
Roadmap ngir samp gi
Tàmbaleel ci joxe leeral ci làkk wu leer ci njariñ li nga soxla.
Tàmbaleel ci joxe leeral ci làkk wu leer ci njariñ li nga soxla. Japp jéego bu nekk ni buntu firnde: sudee mattul kritër yi, noppali génne gi, tëj bërëb bi, ba noppi nga yaatal jëfandikoo gi.
Tannal benn metric bu baax ak benn anam bu baaxul balaa ngay saytu.
Tannal benn metric bu baax ak benn anam bu baaxul balaa ngay saytu. Japp jéego bu nekk ni buntu firnde: sudee mattul kritër yi, noppali génne gi, tëj bërëb bi, ba noppi nga yaatal jëfandikoo gi.
Doxal ab pilote bu ndaw ak ay done yu representatif, du ab demo bu leer.
Doxal ab pilote bu ndaw ak ay done yu representatif, du ab demo bu leer. Japp jéego bu nekk ni buntu firnde: sudee mattul kritër yi, noppali génne gi, tëj bërëb bi, ba noppi nga yaatal jëfandikoo gi.
Bindal fi Overfitting ak Underfitting di jàppale ak fi pexe yu gëna yomba gëna baax.
Bindal fi Overfitting ak Underfitting di jàppale ak fi pexe yu gëna yomba gëna baax. Japp jéego bu nekk ni buntu firnde: sudee mattul kritër yi, noppali génne gi, tëj bërëb bi, ba noppi nga yaatal jëfandikoo gi.