Togaware DATA MINING
Desktop Survival Guide
by Graham Williams
Google

Prediction on Test Data



>      data(veteran, package = "randomSurvivalForest")
>      train.pt <- sample(nrow(veteran), round(nrow(veteran)*0.80))
>      veteran.out <- rsf(Survrsf(time, status) ~ ., forest = TRUE,
                          data = veteran[train.pt , ])
>      veteran.pred <- predict.rsf(veteran.out, veteran[-train.pt , ])



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