Loan Prediction - Data Conversion Warning

@pravinmhaske wrote:

I am following the steps given in this article and trying to fit various models using the generic function. However, while doing Logistic Regression and RF, I’m getting below warning.

C:\ProgramData\Anaconda3\lib\site-packages\sklearn\utils\validation.py:578: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().

Tried ravel(), flatten(), etc. but not able to get rid of the warning.

I’ve defined the generic function like this -

def classification_model(model,data,predictors,outcome):  
    model.fit(data[predictors],data[outcome])
    predictions = model.predict(data[predictors]) # predictions on train data
    accuracy = metrics.accuracy_score(predictions, data[outcome])
    print ("Accuracy : %s" % "{0:.3%}".format(accuracy))

#And calling it like 
model = LogisticRegression()
data = df
predictors = ['Credit_History','LoanAmount']
outcome = ['Loan_Status']
classification_model(model,data,predictors,outcome)

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