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What Is Binary Logistic Regression and How Is It Used in ...

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Binary Logistic Regression makes use of one or more predictor variables that may be either continuous or categorical to predict the target ... Skiptocontent Advertisement Homepage>DataEducation>EnterpriseInformationManagement>InformationManagementBlogs>WhatIsBinaryLogisticRegressionandHowIsItUsedinAnalysis? ReadmoreaboutauthorKartikPatel. Inthisarticle,wewilldiscusstheBinaryLogisticRegressionClassificationmethodofanalysis,andhowitcanbeusedinbusiness. WhatIsBinaryLogisticRegressionClassification? Logisticregressionmeasurestherelationshipbetweenthecategoricaltargetvariableandoneormoreindependentvariables.Itisusefulforsituationsinwhichtheoutcomeforatargetvariablecanhaveonlytwopossibletypes(inotherwords,itisbinary).BinaryLogisticRegressionClassificationmakesuseofoneormorepredictorvariablesthatmaybeeithercontinuousorcategoricaltopredictthetargetvariableclasses.Thistechniquehelpstoidentifyimportantfactors(Xi)impactingthetargetvariable(Y)andalsothenatureoftherelationshipbetweeneachofthesefactorsandthedependentvariable. JOINUSONLINEFORSIXANALYTICSSESSIONS LearnhowtoexecuteandimplementasuccessfulanalyticsstrategyatEnterpriseAnalyticsOnline–October19,2022.Registrationisfree! RegisterNow Let’slookatanexampleofBinaryLogisticRegressionanalysis,involvingthepotentialforloandefault,basedonfactorslikeage,maritalstatus,andincome. Pvalueformaritalstatus,income,andexistingloanis<0.05;sothesevariablesareimportantfactorsforpredictingthelikelydefault/non-defaultclass.Butthepvalueforageis>0.05,whichmeansthatagedoesnotsignificantlyimpactthepotentialforloandefault. HowIsBinaryLogisticRegressionClassificationUsedinAnalysis? Let’slookattwousecaseswhereBinaryLogisticRegressionClassificationmightbeappliedandhowitwouldbe usefultotheorganization. UseCaseNo.1 BusinessProblem: Abankloansofficerwantstopredictifloanapplicantswillbeabankdefaulterornon-defaulterbasedonattributessuchasloanamount,monthlyinstallments,employmenttenure,howmanytimestheapplicanthasbeendelinquent,annualincome,debt-to-incomeratio,etc.Here,thetargetvariablewouldbe“pastdefaultstatus”andpredictedclasswouldincludevalues“yesorno”representing“likelytodefault/unlikelytodefault”classrespectively. BusinessBenefit: Onceclassesareassigned,thebankwillhavealoanapplicantdatasetwitheachapplicantlabeledas“likely/unlikelytodefault.”Basedontheselabels,thebankcaneasilymakeadecisiononwhethertogivealoantoanapplicantandthecreditlimitandinterestrateeachapplicantiseligibleforbasedontheamountofriskinvolved. UseCaseNo.2 BusinessProblem: Adoctorwantstopredictthelikelihoodofsuccessfultreatmentofanewpatientconditionbasedonvariousattributesofapatientsuchasbloodpressure,hemoglobinlevel,bloodsugarlevel,nameofadruggiventopatient,nameoftreatmentsgiventothepatient,etc.Here,thetargetvariablewouldbe“pastcurestatus”andthepredictedclasswouldcontainvalues“yesorno,”meaning“pronetocure/notpronetocure”respectively. BusinessBenefit: Giventhehealthprofileofapatientandtherecenttreatmentsanddrugstakenbyhim/her,thedoctorcanpredicttheprobabilityofacureandidentifynecessarychangestotreatmentanddrugrecommendations. BinaryLogisticRegressionisusefulintheanalysisofmultiplefactorsinfluencinganegative/positiveoutcome,or anyotherclassification wherethereareonlytwopossibleoutcomes. REGISTERTODAYFORENTERPRISEANALYTICSONLINEShareon: LeaveaReplyCancelreplyYoumustbeloggedintopostacomment. Weusetechnologiessuchascookiestounderstandhowyouuseoursiteandtoprovideabetteruserexperience. Thisincludespersonalizingcontent,usinganalyticsandimprovingsiteoperations. WemayshareyourinformationaboutyouruseofoursitewiththirdpartiesinaccordancewithourPrivacyPolicy. Youcanchangeyourcookiesettingsasdescribedhereatanytime,butpartsofoursitemaynotfunctioncorrectlywithoutthem. Bycontinuingtouseoursite,youagreethatwecansavecookiesonyourdevice,unlessyouhavedisabledcookies. IAccept

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