Hi Hannah, thanks for the response.
The aim of the exercise is to train a survival model and compare the predicted survival function against the actual survival curve of the test set. We want for the predicted survival probability to be as close as reality as possible.
In censored, the predict(type = "survival") produces a survival probability for each person for the duration specified in predict(). I've defined the "overall" curve as the average probability at each time point, though I've seen that you just select the first entry of the predict() output. I'm not sure which method is correct.
In regards to the censoring - that makes sense. Thank you