@sid100158 wrote:
I am currently solving one classification problem using gradient boosting when I am creating the model it giving me an error.
My data str(train_final) 'data.frame': 614 obs. of 11 variables: $ Loan_Status : Factor w/ 2 levels "N","Y": 2 1 2 2 2 2 2 1 2 1 ... $ Credit_History : int 1 1 1 1 1 1 1 0 1 1 ... $ Property_Area : Factor w/ 3 levels "Rural","Semiurban",..: 3 1 3 3 3 3 3 2 3 2 ... $ CoapplicantIncome: num 0 1508 0 2358 0 ... $ ApplicantIncome : num 5849 4583 3000 2583 6000 ... $ LoanAmount : num 142 128 66 120 141 ... $ Married : Factor w/ 2 levels "No","Yes": 1 2 2 2 1 2 2 2 2 2 ... $ Education : Factor w/ 2 levels "Graduate","Not Graduate": 1 1 1 2 1 1 2 1 1 1 ... $ Dependents : Factor w/ 4 levels "0","1","2","3+": 1 2 1 1 1 3 1 4 3 2 ... $ Gender : Factor w/ 2 levels "Female","Male": 2 2 2 2 2 2 2 2 2 2 ... $ Self_Employed : Factor w/ 2 levels "No","Yes": 1 1 2 1 1 2 1 1 1 1 .. Model gbm1<-gbm(Loan_Status ~ .,distribution = "bernoulli" ,data=train_final)Error in gbm.fit(x, y, offset = offset, distribution = distribution, w = w, :
Bernoulli requires the response to be in {0,1}
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