n_folds

[ZachOID]

Create logistic regression object

model = LogisticRegression()

Train the model using the training sets

model.fit(x_train, y_train)

Predict Output

predicted= model.predict(x_test)

Reverse encoding for predicted outcome

predicted = number.inverse_transform(predicted)

Store it to test dataset

test_modified['Loan_Status']=predicted

outcome_var = 'Loan_Status'

classification_model(model, df,predictors_Logistic,outcome_var)

test_modified.to_csv("Logistic_Prediction.csv",columns=['Loan_ID','Loan_Status'])``

its sayinginit() got an unexpected keyword argument 'n_folds'

[ParthS007]

fixed in #3