Practical Predictive Analytics

Predicting the outcome at time 6

The predictions are in log form. Take the exponent and multiply by the base hazard estimate to obtain the predicted value at 6 months:

#head(pred_validation)#                                                                                      pred.val <- base[6,1]*exp(pred_validation)

Let's assume we want to predict the risk of churn that occurs halfway through the analysis period (time=6):

First, we will first take the exponents of the prediction and multiply them by the base hazard estimate that was shown in the hazard column at time=6. This method, in effect, adds the predictive power of the coefficients to the base hazard rate:

pred.val <- base[6,1]*exp(pred_validation)

We will now merge the predicted values in with the raw values from the test dataset and view the results after verifying ...