machine learning – How to use your trained xgb-model in r to apply it on a new dataset?

I trained an xgb model like this: candidates_var_train <- model.matrix(job_change ~ 0 + ., data = candidates_train) candidates_train_xgb <- xgb.DMatrix(data = candidates_var_train, label = ifelse(candidates_train$job_change == “Interested”, 1, 0)) candidates_var_test <- model.matrix(job_change ~ 0 + ., data = candidates_test) candidates_test_xgb <- xgb.DMatrix(data = candidates_var_test, label = ifelse(candidates_test$job_change == “Interested”, 1, 0)) Got a decent AUC … Read more

sql – XML ​​Cross Apply Assist – Secondary level and multiple rows

I was wondering if someone could assist me with some XML work I am doing on SQL, frustratingly theyve asked for further information and struggling. Attached is the XML: <pagedata> <BinderSections REPEATINGTYPE=”PageList”> <rowdata REPEATINGINDEX=”1″> <Compliance> <CoverholderOrAnyTPA>false</CoverholderOrAnyTPA> <StandardLMAISOIBC>true</StandardLMAISOIBC> <IsCanadianCertificatedNew>true</IsCanadianCertificatedNew> <StandardDistributionChannels>true</StandardDistributionChannels> <IsSalesVolumeRemuneration>false</IsSalesVolumeRemuneration> <Microenterprises>false</Microenterprises> <Howmanycompliantsover12mnths>No</Howmanycompliantsover12mnths> <AnyUnusualOrNonStandardPayments>false</AnyUnusualOrNonStandardPayments> <DoBarriersToExit>false</DoBarriersToExit> <IsTerritorySpecificCompliants>true</IsTerritorySpecificCompliants> <IsLlyodsCanadianComplaintsNew>true</IsLlyodsCanadianComplaintsNew> <IsAddOnOrSoldSupplementary>false</IsAddOnOrSoldSupplementary> <Consumer>false</Consumer> <NonSMEPercentage>false</NonSMEPercentage> <IsCanadianStatutoryRightsNew>true</IsCanadianStatutoryRightsNew> <NewProduct>false</NewProduct> <MasterPolicies>false</MasterPolicies> <ApprovalNotes>false</ApprovalNotes> <IsCanadianConsumerRightsResponsibilitiesNew>true</IsCanadianConsumerRightsResponsibilitiesNew> <BindingAuthAcquisitionCost>false</BindingAuthAcquisitionCost> … Read more