Update book/chapters/chapter13/beyond_regression_and_classification.qmd

mlr-org · BjarkeHautop · Jul 10, 2025 · Jul 10, 2025 · Jul 10, 2025 · Jul 22, 2025
commit 5b8ff98a07fb38793e8c022847b6e72ee302a7d6
diff --git a/book/chapters/chapter13/beyond_regression_and_classification.qmd b/book/chapters/chapter13/beyond_regression_and_classification.qmd
@@ -130,7 +130,6 @@ By using `po("learner_cv")` for internal resampling and `po("tunethreshold")` to
 `r index("Survival analysis")` is a field of statistics concerned with trying to predict/estimate the time until an event takes place.
 This predictive problem is unique because survival models are trained and tested on data that may include censoring, which occurs when the exact event time is not observed for some subjects.
 The most common type of censoring is 'right censoring', which happens when the event of interest has not yet occurred by the time observation ends — either due to a fixed study cutoff (*administrative censoring*) or because individuals are lost to follow-up (*random censoring*).
-For the rest of this section, censoring means right censoring unless otherwise stated.
 Survival analysis can be hard to explain in the abstract, so as a working example consider a marathon runner in a race.
 Here the 'survival problem' is trying to predict the time when the marathon runner finishes the race.
 However, not all finish times may be observed.