Tilmaamaha aasaasiga ah

Saxnaanta iyo Xusuusta

Saxnaanta iyo dib u xasuusashadu waa laba cabbir oo is kaaba ah oo lagu qiimeeyo kala-saarayaasha, gaar ahaan marka fasalladu isku dheeli tiran yihiin.

Dhageyso hagahanAI-waa laga sheekeeyay · ~2 min

Boggaan2 daqiiqo akhri
  1. Dulmar
  2. quusid qoto dheer
  3. Dhaqangelinta Adduunka-dhabta ah
  4. Mustaqbalka Saxnaanta iyo Xusuusta
  5. Ku dhaqangelinta
  6. Sii wad Sahaminta
  7. Su'aalaha soo noqnoqda

Dulmar

Together they reveal what plain accuracy hides — how often a model's positive predictions are right, and how many real positives it actually catches.

quusid qoto dheer

Marka tusaaluhu u calaamadiyo shayada sida togan, laba su'aalood ayaa muhiim ah. Saxnimadu waxay ku wayddiinaysaa: wax kasta oo aanu calaamadnay, intee in le'eg ayaa run ahaantii wanaagsanaa? Waxay la mid tahay xaqiiqooyinka dhabta ah ee ay u qaybsan yihiin dhammaan waxyaalihii la saadaaliyay, iyaga oo ciqaabaya digniinaha beenta ah. Xusuusnow (xasaasiyad) waxay weyddiinaysaa: dhammaan xaqiiqooyinka dhabta ah ee jira, imisa ayaanu qabannay? Waxay la mid tahay xaqiiqooyinka dhabta ah ee loo qaybiyay dhammaan wanaagga dhabta ah, ciqaabaya khasaarooyinka. Kuwani badanaa way isweydaarsadaan: hoos u dhigista heerka go'aanka waxay soo jiidataa faa'iidooyin badan (xusuusinta sare) laakiin waxay calaamadeysaa junk badan (sax hoose), iyo lidka ku ah. Kaas oo mudnaanta la siinayo waxay ku xiran tahay kharashyada - shaandhada spam waxay u roon tahay saxnaanta (ha qashinka ku dhejin boostada dhabta ah), halka shaashadda kansarka ay jeceshahay in la xasuusto (ha moogaan buro). Dhibcaha F1, celceliskooda iswaafajinta, waxay isku dheellitirayaan labadaba hal lambar.

Dhaqangelinta Adduunka-dhabta ah

Spam waxay shaandheysaa saxnaanta sare sidaa darteed iimaylada sharciga ah ku dhawaad ​​weligood si khaldan looguma dirin galka spamka.

Tijaabada baadhista caafimaadku waxay mudnaan siiyaan dib u soo celinta sare si looga fogaado bukaanada maqan ee dhab ahaantii qaba cudurka, aqbala waxyaabo badan oo been abuur ah oo dabagal ah.

Nidaamyada raadinta iyo talooyinka waxay ka warbixiyaan precision@k (immisa ka mid ah natiijooyinka k ugu sarreeya ayaa khuseeya) si loo cabbiro tayada darajada.

Ogaanshaha khayaanada waxay dheellitirtaa saxnaanta iyo dib u soo celinta dhibcaha F1, maadaama labadaba digniinaha beenta ah iyo khiyaanada la seegay ay qaali yihiin.

Mustaqbalka Saxnaanta iyo Xusuusta

Maaddaama AI ay soo gasho xayndaabyada sare-u-qaadista - ogaanshaha caafimaadka, dhexdhexaadinta nuxurka, khiyaanada - kooxuhu waxay si isa soo taraysa uga warbixiyaan saxnaanta iyo dib u soo celinta (iyo qaloocadooda) halkii ay ka ahaan lahaayeen sax ahaansho kali ah, oo ay hagaajiyaan heerarka si ay ula jaan qaadaan kharashyada dhabta ah ee adduunka iyo caqabadaha caddaaladda. Xisaabinta saxnaanta/xusuusinta koox kasta waxay noqonaysaa halbeeg lagu ogaanayo heerarka khaladaadka kala duwan ee tirakoobyada. Filo cabbirada xasaasiga ah ee qani ka ah, ixtimaalka la jaanqaadaya, iyo qalabaynta u saamaxaysa daneeyayaasha inay si isdhexgal ah u doortaan dhibcaha hawlgalka halkii ay aqbali lahaayeen heerka caadiga ah ee 0.5.

Ku dhaqangelinta

Maxay muhiim u tahay

  • Go'aamo cad. Waxay kaa caawinaysaa inaad kala saartid sheegashooyinka farsamada cad iyo luqadda suuq-geynta.
  • Qiimaha iyo miisaaniyada. Waxaad waydiin kartaa su'aalo fulineed oo wanaagsan ka hor inta aadan lacag ama waqti bixin.
  • Kooxda iyo socodka shaqada. Kooxaha fahamka la wadaago waxay sameeyaan wax soo saar, siyaasad, iyo go'aano waxbarasho oo wanaagsan.

Iska ilaali

  • Kooxo kala duwan ayaa laga yaabaa inay isla erey u isticmaalaan si kala duwan, marka hore u qeex baaxadda.
  • Tilmaamaha ayaa u ekaan kara kuwo xooggan halka waxqabadka dhabta ah ee dunidu aanu sinnayn.
  • In la iska indho tiro tayada xogta iyo qorshayaasha qiimayntu waxay inta badan abuurtaa natiijooyin jilicsan.

Tallaabooyinka xiga

  1. Ka bilow qeexidda luqadda cad ee natiijada aad u baahan tahay.
  2. Dooro hal cabbir guusha iyo hal xaalad guuldarro ka hor tijaabada.
  3. Ku orod duuliye yar oo wata xogta matale, ee ma aha bandhig muuqaal ah.
  4. Diiwaangeli halka saxnaanta iyo dib u soo celinta ay ku caawiso iyo meelaha hababka fudud ay ka fiican yihiin.

Sii wad Sahaminta

Warqad bilaash ah

Hel warbixinta maalinlaha ah ee AI

Saddex sheeko oo la xaqiijiyay oo AI ah maalin kasta oo shaqo ah, oo lagu qoray Ingiriis fudud. Bilaash had iyo jeer, aan xayaysiis lahayn.

Hal iimayl maalin kasta oo shaqo ah. Ka bax hal gujin. Marna ma iibinno ama ma wadaagno ciwaankaaga.

Is tijaabi

Take the Precision and Recall quiz

Fikrad degdeg ah oo ku saabsan jawaab kasta, iyo shahaado la wadaajin karo oo leh aqoonsi la xaqiijin karo markaad ka gudubto koorso.

Bilow kedis

Taageer waxbarashada AI bilaashka ah. AI Understanding waa 501(c)(3) aan faa'iido doon ahayn — xayaysiis la'aan, albaab lacag ah ma jiro, had iyo jeer. Samee deeq

Su'aalaha soo noqnoqda

What is Precision and Recall?

Saxnaanta iyo dib u xasuusashadu waa laba cabbir oo is kaaba ah oo lagu qiimeeyo kala-saarayaasha, gaar ahaan marka fasalladu isku dheeli tiran yihiin. Waxay si wada jir ah u muujinayaan waxa saxnaanta cadi qarinayso - inta jeer ee tusaalaha saadaasha wanaagsani ay sax yihiin, iyo inta xaqiiqo ee dhabta ah ee ay dhab ahaantii qabato.

Su'aasha saxda ah ayaa ka jawaabeysa?

Saxnaanta = TP / (TP + FP) waxay cabbirtaa saxnaanta saadaasha tusaalaha - sida lagu kalsoon yahay calanka togan.

On a fixed evaluation set, lowering a positive-class decision threshold usually produces which tradeoff?

Lowering the threshold expands or preserves the predicted-positive set. It may catch additional true positives and additional false positives; changes depend on which items cross the threshold.

Why can precision and recall reveal a weakness hidden by high accuracy on a dataset dominated by negatives?

Accuracy can be dominated by correct negative predictions. Precision and recall examine positive flags and missed positives using TP, FP, and FN.

Six of the top ten search results are relevant. What is precision@10 for that result list?

Precision@10 measures the relevant fraction among the top ten results: 6/10 = 60%.