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Update customer_churn.py #8

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4 changes: 2 additions & 2 deletions statistics/customer_churn.py
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Original file line number Diff line number Diff line change
Expand Up @@ -113,7 +113,7 @@ def inverse_logit(model_formula):
print("Probability of churn when account length changes by 1: %.2f" % (inverse_logit(cust_serv_mean) - inverse_logit(cust_serv_mean_minus_one)))

# Predict churn for "new" observations
new_observations = churn.ix[churn.index.isin(xrange(10)), independent_variables.columns]
new_observations = churn.loc[churn.index.isin(range(10)), independent_variables.columns]
new_observations_with_constant = sm.add_constant(new_observations, prepend=True)
y_predicted = logit_model.predict(new_observations_with_constant)
y_predicted_rounded = [round(score, 2) for score in y_predicted]
Expand All @@ -135,4 +135,4 @@ def inverse_logit(model_formula):
# Predict output value for a new observation based on its mean standardized input values
input_variables = [0., 0., 0., 1.]
predicted_value = logit_model.predict(input_variables)
print("Predicted value: %.5f") % predicted_value
print("Predicted value: %.5f") % predicted_value