'unorderable types: str() >= float()' error in Logistic Regression

@akki wrote:

Hey Authors,
I am getting an error while executing the LogisticRegression classifier. Please help. I have attached the code and error.

   >     #Logistic Regression

outcome_var = 'Loan_Status'
model = LogisticRegression()
predictor_var = ['Credit_History']
classification_model(model, train, predictor_var, outcome_var)

The part of error is follows:
> TypeError Traceback (most recent call last)

    <ipython-input-273-bb7bf01a98a4> in <module>()
          3 model = LogisticRegression()
          4 predictor_var = ['Credit_History']
    ----> 5 classification_model(model, train, predictor_var, outcome_var)

    <ipython-input-272-4e3d579b0cea> in classification_model(model, data, predictors, outcome)
         21         model.fit(train_predictors, train_target)
         22 
    ---> 23         error.append(model.score(data[predictors].iloc[test,:],data[outcome].iloc[test1]))
         24 
         25

It seems the error is in the line where we append the error values to error list.

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