diff --git a/R/BenchmarkResult.R b/R/BenchmarkResult.R
index cc34c9f1..2ecba56c 100644
--- a/R/BenchmarkResult.R
+++ b/R/BenchmarkResult.R
@@ -33,8 +33,8 @@
 #'
 #' head(fortify(object))
 #' autoplot(object)
-#' autoplot(object$clone()$filter(task_ids = "spam"), type = "roc")
-#' autoplot(object$clone()$filter(task_ids = "pima"), type = "prc")
+#' autoplot(object$clone(deep = TRUE)$filter(task_ids = "spam"), type = "roc")
+#' autoplot(object$clone(deep = TRUE)$filter(task_ids = "pima"), type = "prc")
 autoplot.BenchmarkResult = function(object, # nolint
   type = "boxplot",
   measure = NULL,
diff --git a/R/as_precrec.R b/R/as_precrec.R
index 848ab3b4..232f7103 100644
--- a/R/as_precrec.R
+++ b/R/as_precrec.R
@@ -66,7 +66,7 @@ as_precrec.BenchmarkResult = function(object) { # nolint
     stopf("Unable to convert benchmark results with multiple resamplings.")
   }
 
-  predictions = map(scores$prediction, "test")
+  predictions = scores$prediction
   data = transpose_list(map(predictions, roc_data))
   data$labels = split(data$labels, scores$iteration)
   data$scores = split(data$scores, scores$iteration)
diff --git a/man/autoplot.BenchmarkResult.Rd b/man/autoplot.BenchmarkResult.Rd
index 35621a96..2722fdf0 100644
--- a/man/autoplot.BenchmarkResult.Rd
+++ b/man/autoplot.BenchmarkResult.Rd
@@ -46,6 +46,6 @@ object = benchmark(benchmark_grid(tasks, learner, resampling))
 
 head(fortify(object))
 autoplot(object)
-autoplot(object$clone()$filter(task_ids = "spam"), type = "roc")
-autoplot(object$clone()$filter(task_ids = "pima"), type = "prc")
+autoplot(object$clone(deep = TRUE)$filter(task_ids = "spam"), type = "roc")
+autoplot(object$clone(deep = TRUE)$filter(task_ids = "pima"), type = "prc")
 }
diff --git a/man/autoplot.LearnerClassifRpart.Rd b/man/autoplot.LearnerClassifRpart.Rd
index 80065ab8..5fa1d993 100644
--- a/man/autoplot.LearnerClassifRpart.Rd
+++ b/man/autoplot.LearnerClassifRpart.Rd
@@ -10,7 +10,7 @@
 \method{autoplot}{LearnerRegrRpart}(object, ...)
 }
 \arguments{
-\item{object}{(\link[mlr3:mlr_learners_classif.rpart]{mlr3::LearnerClassifRpart} | \link[mlr3:mlr_learners_regr.rpart]{mlr3::LearnerRegrRpart}).}
+\item{object}{(\link[mlr3:LearnerClassifRpart]{mlr3::LearnerClassifRpart} | \link[mlr3:LearnerRegrRpart]{mlr3::LearnerRegrRpart}).}
 
 \item{...}{(\code{any}):
 Additional arguments, passed down to \code{\link[ggparty:autoplot.party]{ggparty::autoplot.party()}}.}