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Ofaya daga cikin mafi kyawun aikace-aikacen koyon injina a cikin ilimin lissafi shine haɓakar warware daidaitattun daidaito (PDEs). Babban makasudin na'ura ta hanyar ilmantarwa ta hanyar ilmantarwa na na'ura shine samar da mafita waɗanda suke daidai da sauri fiye da daidaitattun hanyoyin ƙididdigewa don zama kwatancen tushe. Da farko mun gudanar da nazari mai tsauri kan wallafe-wallafen koyon injin akan warware sassan banbance-banbance ma'auni. Daga cikin duk takaddun da ke ba da rahoton amfani da ML don warware ma'auni daban-daban na ruwa da kuma da'awar fifiko akan daidaitattun hanyoyin lambobi, mun gano 79% (60/76) idan aka kwatanta da raunin tushe. Na biyu, mun sami shaida na nuna son kai na bayar da rahoto, musamman a cikin rahoton sakamako da nuna son kai. Mun kammala cewa binciken koyo na na'ura game da warware ma'auni daban-daban yana da kyakkyawan fata: raunin shigar da bayanai na iya haifar da sakamako mai kyau fiye da kima, kuma ba da rahoton son zuciya na iya haifar da rashin bayar da rahoto mara kyau. A babban bangare, waɗannan matsalolin sun bayyana suna haifar da abubuwa masu kama da rikice-rikice na reproducibility na baya: hankali mai bincike da kyakkyawan sakamako mai kyau. Muna kira da a canza al'adu daga ƙasa zuwa ƙasa don rage rahotannin son zuciya da sake fasalin tsarin sama zuwa ƙasa don rage karkatattun abubuwan ƙarfafawa don yin hakan.
Jerin mawallafa da labaran da aka samar ta hanyar nazari na yau da kullum, da kuma rarraba kowane labarin a cikin samfurin bazuwar, yana samuwa a fili a https://doi.org/10.17605/OSF.IO/GQ5B3 (ref. 124).
Ana iya samun lambar da ake buƙata don sake haifar da sakamakon a cikin Table 2 akan GitHub: https://github.com/nickmcgreivy/WeakBaselinesMLPDE/ (ref. 125) da kuma kan Code Ocean: https://codeocean.com/capsule/9605539/Tree/ v1 (link 126) da kuma https://codeocean.com/capsule/0799002/tree/v1 (link 127).
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