Coursera-IBM-Machine-Learning-with-Python-Final-Project

[swatisolanki2406]

I'm facing an issue in Load Test set for evaluation. How can I solve it??

[thebuffdude]

I am facing the same issue

[excalibur768]

The error is due to one hot encoding not being done for the gender column as it was done on the training data, use the below updated code it should resolve this issue

convert date time

test_df['due_date'] = pd.to_datetime(test_df['due_date'])
test_df['effective_date'] = pd.to_datetime(test_df['effective_date'])
test_df['dayofweek'] = test_df['effective_date'].dt.dayofweek

evaulate weekend field

test_df['weekend'] = test_df['dayofweek'].apply(lambda x: 1 if (x>3) else 0)

work out education level

test_df['Gender'].replace(to_replace=['male','female'], value=[0,1],inplace=True)
test_feature = test_df[['Principal','terms','age','Gender','weekend']]
test_feature = pd.concat([test_feature,pd.get_dummies(test_df['education'])], axis=1)
test_feature.drop(['Master or Above'], axis = 1,inplace=True)
test_feature.head()

normalize the test data

test_X = preprocessing.StandardScaler().fit(test_feature).transform(test_feature)
test_X[0:5]

and target result

test_y = test_df['loan_status'].values
test_y[0:5]