diff --git a/man-roxygen/example.R b/man-roxygen/example.R
index da144ce0..571eba99 100644
--- a/man-roxygen/example.R
+++ b/man-roxygen/example.R
@@ -2,11 +2,32 @@
 lrn = mlr3::lrn(id)
 pkgs = setdiff(lrn$packages, c("mlr3", "mlr3learners"))
 %>
+#' <% task_id = if ("LearnerClassif" %in% class(lrn(id))) "sonar" else "mtcars" %>
+#'
 #' @examples
 #' if (<%= paste0("requireNamespace(\"", pkgs, "\", quietly = TRUE)", collapse = " && ") %>) {
-#'   learner = mlr3::lrn("<%= id %>")
-#'   print(learner)
+#' # Define the Learner and set parameter values
+#' <%= sprintf("learner = lrn(\"%s\")", id)%>
+#' print(learner)
+#'
+#' # Define a Task
+#' <%= sprintf("task = tsk(\"%s\")", task_id)%>
+#'
+#' # Create train and test set
+#' <%= sprintf("ids = partition(task)")%>
+#'
+#' # Train the learner on the training ids
+#' <%= sprintf("learner$train(task, row_ids = ids$train)")%>
+#'
+#' # print the model
+#' print(learner$model)
+#'
+#' # importance method
+#' if("importance" %in% learner$properties) print(learner$importance)
+#'
+#' # Make predictions for the test rows
+#' <%= sprintf("predictions = learner$predict(task, row_ids = ids$test)")%>
 #'
-#'   # available parameters:
-#' learner$param_set$ids()
+#' # Score the predictions
+#' predictions$score()
 #' }
diff --git a/man/mlr_learners_classif.cv_glmnet.Rd b/man/mlr_learners_classif.cv_glmnet.Rd
index 19d9168d..b298432e 100644
--- a/man/mlr_learners_classif.cv_glmnet.Rd
+++ b/man/mlr_learners_classif.cv_glmnet.Rd
@@ -87,11 +87,30 @@ as the first factor level.
 
 \examples{
 if (requireNamespace("glmnet", quietly = TRUE)) {
-  learner = mlr3::lrn("classif.cv_glmnet")
-  print(learner)
+# Define the Learner and set parameter values
+learner = lrn("classif.cv_glmnet")
+print(learner)
 
-  # available parameters:
-learner$param_set$ids()
+# Define a Task
+task = tsk("sonar")
+
+# Create train and test set
+ids = partition(task)
+
+# Train the learner on the training ids
+learner$train(task, row_ids = ids$train)
+
+# print the model
+print(learner$model)
+
+# importance method
+if("importance" \%in\% learner$properties) print(learner$importance)
+
+# Make predictions for the test rows
+predictions = learner$predict(task, row_ids = ids$test)
+
+# Score the predictions
+predictions$score()
 }
 }
 \references{
diff --git a/man/mlr_learners_classif.glmnet.Rd b/man/mlr_learners_classif.glmnet.Rd
index b1397595..7cb1b4be 100644
--- a/man/mlr_learners_classif.glmnet.Rd
+++ b/man/mlr_learners_classif.glmnet.Rd
@@ -96,11 +96,30 @@ as the first factor level.
 
 \examples{
 if (requireNamespace("glmnet", quietly = TRUE)) {
-  learner = mlr3::lrn("classif.glmnet")
-  print(learner)
+# Define the Learner and set parameter values
+learner = lrn("classif.glmnet")
+print(learner)
 
-  # available parameters:
-learner$param_set$ids()
+# Define a Task
+task = tsk("sonar")
+
+# Create train and test set
+ids = partition(task)
+
+# Train the learner on the training ids
+learner$train(task, row_ids = ids$train)
+
+# print the model
+print(learner$model)
+
+# importance method
+if("importance" \%in\% learner$properties) print(learner$importance)
+
+# Make predictions for the test rows
+predictions = learner$predict(task, row_ids = ids$test)
+
+# Score the predictions
+predictions$score()
 }
 }
 \references{
diff --git a/man/mlr_learners_classif.kknn.Rd b/man/mlr_learners_classif.kknn.Rd
index 11e56c1f..7f386b5d 100644
--- a/man/mlr_learners_classif.kknn.Rd
+++ b/man/mlr_learners_classif.kknn.Rd
@@ -63,11 +63,30 @@ lrn("classif.kknn")
 
 \examples{
 if (requireNamespace("kknn", quietly = TRUE)) {
-  learner = mlr3::lrn("classif.kknn")
-  print(learner)
+# Define the Learner and set parameter values
+learner = lrn("classif.kknn")
+print(learner)
 
-  # available parameters:
-learner$param_set$ids()
+# Define a Task
+task = tsk("sonar")
+
+# Create train and test set
+ids = partition(task)
+
+# Train the learner on the training ids
+learner$train(task, row_ids = ids$train)
+
+# print the model
+print(learner$model)
+
+# importance method
+if("importance" \%in\% learner$properties) print(learner$importance)
+
+# Make predictions for the test rows
+predictions = learner$predict(task, row_ids = ids$test)
+
+# Score the predictions
+predictions$score()
 }
 }
 \references{
diff --git a/man/mlr_learners_classif.lda.Rd b/man/mlr_learners_classif.lda.Rd
index 47c51449..0e5338bb 100644
--- a/man/mlr_learners_classif.lda.Rd
+++ b/man/mlr_learners_classif.lda.Rd
@@ -48,11 +48,30 @@ lrn("classif.lda")
 
 \examples{
 if (requireNamespace("MASS", quietly = TRUE)) {
-  learner = mlr3::lrn("classif.lda")
-  print(learner)
+# Define the Learner and set parameter values
+learner = lrn("classif.lda")
+print(learner)
 
-  # available parameters:
-learner$param_set$ids()
+# Define a Task
+task = tsk("sonar")
+
+# Create train and test set
+ids = partition(task)
+
+# Train the learner on the training ids
+learner$train(task, row_ids = ids$train)
+
+# print the model
+print(learner$model)
+
+# importance method
+if("importance" \%in\% learner$properties) print(learner$importance)
+
+# Make predictions for the test rows
+predictions = learner$predict(task, row_ids = ids$test)
+
+# Score the predictions
+predictions$score()
 }
 }
 \references{
diff --git a/man/mlr_learners_classif.log_reg.Rd b/man/mlr_learners_classif.log_reg.Rd
index cc24971a..16029543 100644
--- a/man/mlr_learners_classif.log_reg.Rd
+++ b/man/mlr_learners_classif.log_reg.Rd
@@ -84,11 +84,30 @@ Instead, set the respective hyperparameter or use \CRANpkg{mlr3pipelines} to cre
 
 \examples{
 if (requireNamespace("stats", quietly = TRUE)) {
-  learner = mlr3::lrn("classif.log_reg")
-  print(learner)
+# Define the Learner and set parameter values
+learner = lrn("classif.log_reg")
+print(learner)
 
-  # available parameters:
-learner$param_set$ids()
+# Define a Task
+task = tsk("sonar")
+
+# Create train and test set
+ids = partition(task)
+
+# Train the learner on the training ids
+learner$train(task, row_ids = ids$train)
+
+# print the model
+print(learner$model)
+
+# importance method
+if("importance" \%in\% learner$properties) print(learner$importance)
+
+# Make predictions for the test rows
+predictions = learner$predict(task, row_ids = ids$test)
+
+# Score the predictions
+predictions$score()
 }
 }
 \seealso{
diff --git a/man/mlr_learners_classif.multinom.Rd b/man/mlr_learners_classif.multinom.Rd
index 5c975802..8b042495 100644
--- a/man/mlr_learners_classif.multinom.Rd
+++ b/man/mlr_learners_classif.multinom.Rd
@@ -53,11 +53,30 @@ lrn("classif.multinom")
 
 \examples{
 if (requireNamespace("nnet", quietly = TRUE)) {
-  learner = mlr3::lrn("classif.multinom")
-  print(learner)
+# Define the Learner and set parameter values
+learner = lrn("classif.multinom")
+print(learner)
 
-  # available parameters:
-learner$param_set$ids()
+# Define a Task
+task = tsk("sonar")
+
+# Create train and test set
+ids = partition(task)
+
+# Train the learner on the training ids
+learner$train(task, row_ids = ids$train)
+
+# print the model
+print(learner$model)
+
+# importance method
+if("importance" \%in\% learner$properties) print(learner$importance)
+
+# Make predictions for the test rows
+predictions = learner$predict(task, row_ids = ids$test)
+
+# Score the predictions
+predictions$score()
 }
 }
 \seealso{
diff --git a/man/mlr_learners_classif.naive_bayes.Rd b/man/mlr_learners_classif.naive_bayes.Rd
index b4115d46..1aea0b73 100644
--- a/man/mlr_learners_classif.naive_bayes.Rd
+++ b/man/mlr_learners_classif.naive_bayes.Rd
@@ -38,11 +38,30 @@ lrn("classif.naive_bayes")
 
 \examples{
 if (requireNamespace("e1071", quietly = TRUE)) {
-  learner = mlr3::lrn("classif.naive_bayes")
-  print(learner)
+# Define the Learner and set parameter values
+learner = lrn("classif.naive_bayes")
+print(learner)
 
-  # available parameters:
-learner$param_set$ids()
+# Define a Task
+task = tsk("sonar")
+
+# Create train and test set
+ids = partition(task)
+
+# Train the learner on the training ids
+learner$train(task, row_ids = ids$train)
+
+# print the model
+print(learner$model)
+
+# importance method
+if("importance" \%in\% learner$properties) print(learner$importance)
+
+# Make predictions for the test rows
+predictions = learner$predict(task, row_ids = ids$test)
+
+# Score the predictions
+predictions$score()
 }
 }
 \seealso{
diff --git a/man/mlr_learners_classif.nnet.Rd b/man/mlr_learners_classif.nnet.Rd
index 4e5cb3c4..d8fdca4b 100644
--- a/man/mlr_learners_classif.nnet.Rd
+++ b/man/mlr_learners_classif.nnet.Rd
@@ -73,11 +73,30 @@ lrn("classif.nnet")
 
 \examples{
 if (requireNamespace("nnet", quietly = TRUE)) {
-  learner = mlr3::lrn("classif.nnet")
-  print(learner)
+# Define the Learner and set parameter values
+learner = lrn("classif.nnet")
+print(learner)
 
-  # available parameters:
-learner$param_set$ids()
+# Define a Task
+task = tsk("sonar")
+
+# Create train and test set
+ids = partition(task)
+
+# Train the learner on the training ids
+learner$train(task, row_ids = ids$train)
+
+# print the model
+print(learner$model)
+
+# importance method
+if("importance" \%in\% learner$properties) print(learner$importance)
+
+# Make predictions for the test rows
+predictions = learner$predict(task, row_ids = ids$test)
+
+# Score the predictions
+predictions$score()
 }
 }
 \references{
diff --git a/man/mlr_learners_classif.qda.Rd b/man/mlr_learners_classif.qda.Rd
index f0f77b20..677632a8 100644
--- a/man/mlr_learners_classif.qda.Rd
+++ b/man/mlr_learners_classif.qda.Rd
@@ -46,11 +46,30 @@ lrn("classif.qda")
 
 \examples{
 if (requireNamespace("MASS", quietly = TRUE)) {
-  learner = mlr3::lrn("classif.qda")
-  print(learner)
+# Define the Learner and set parameter values
+learner = lrn("classif.qda")
+print(learner)
 
-  # available parameters:
-learner$param_set$ids()
+# Define a Task
+task = tsk("sonar")
+
+# Create train and test set
+ids = partition(task)
+
+# Train the learner on the training ids
+learner$train(task, row_ids = ids$train)
+
+# print the model
+print(learner$model)
+
+# importance method
+if("importance" \%in\% learner$properties) print(learner$importance)
+
+# Make predictions for the test rows
+predictions = learner$predict(task, row_ids = ids$test)
+
+# Score the predictions
+predictions$score()
 }
 }
 \references{
diff --git a/man/mlr_learners_classif.ranger.Rd b/man/mlr_learners_classif.ranger.Rd
index ff6140b1..bc99c505 100644
--- a/man/mlr_learners_classif.ranger.Rd
+++ b/man/mlr_learners_classif.ranger.Rd
@@ -89,11 +89,30 @@ lrn("classif.ranger")
 
 \examples{
 if (requireNamespace("ranger", quietly = TRUE)) {
-  learner = mlr3::lrn("classif.ranger")
-  print(learner)
+# Define the Learner and set parameter values
+learner = lrn("classif.ranger")
+print(learner)
 
-  # available parameters:
-learner$param_set$ids()
+# Define a Task
+task = tsk("sonar")
+
+# Create train and test set
+ids = partition(task)
+
+# Train the learner on the training ids
+learner$train(task, row_ids = ids$train)
+
+# print the model
+print(learner$model)
+
+# importance method
+if("importance" \%in\% learner$properties) print(learner$importance)
+
+# Make predictions for the test rows
+predictions = learner$predict(task, row_ids = ids$test)
+
+# Score the predictions
+predictions$score()
 }
 }
 \references{
diff --git a/man/mlr_learners_classif.svm.Rd b/man/mlr_learners_classif.svm.Rd
index 9364af06..cd817879 100644
--- a/man/mlr_learners_classif.svm.Rd
+++ b/man/mlr_learners_classif.svm.Rd
@@ -51,11 +51,30 @@ lrn("classif.svm")
 
 \examples{
 if (requireNamespace("e1071", quietly = TRUE)) {
-  learner = mlr3::lrn("classif.svm")
-  print(learner)
+# Define the Learner and set parameter values
+learner = lrn("classif.svm")
+print(learner)
 
-  # available parameters:
-learner$param_set$ids()
+# Define a Task
+task = tsk("sonar")
+
+# Create train and test set
+ids = partition(task)
+
+# Train the learner on the training ids
+learner$train(task, row_ids = ids$train)
+
+# print the model
+print(learner$model)
+
+# importance method
+if("importance" \%in\% learner$properties) print(learner$importance)
+
+# Make predictions for the test rows
+predictions = learner$predict(task, row_ids = ids$test)
+
+# Score the predictions
+predictions$score()
 }
 }
 \references{
diff --git a/man/mlr_learners_classif.xgboost.Rd b/man/mlr_learners_classif.xgboost.Rd
index e0f86a3b..98fa6ca3 100644
--- a/man/mlr_learners_classif.xgboost.Rd
+++ b/man/mlr_learners_classif.xgboost.Rd
@@ -148,11 +148,30 @@ lrn("classif.xgboost")
 
 \examples{
 if (requireNamespace("xgboost", quietly = TRUE)) {
-  learner = mlr3::lrn("classif.xgboost")
-  print(learner)
+# Define the Learner and set parameter values
+learner = lrn("classif.xgboost")
+print(learner)
 
-  # available parameters:
-learner$param_set$ids()
+# Define a Task
+task = tsk("sonar")
+
+# Create train and test set
+ids = partition(task)
+
+# Train the learner on the training ids
+learner$train(task, row_ids = ids$train)
+
+# print the model
+print(learner$model)
+
+# importance method
+if("importance" \%in\% learner$properties) print(learner$importance)
+
+# Make predictions for the test rows
+predictions = learner$predict(task, row_ids = ids$test)
+
+# Score the predictions
+predictions$score()
 }
 
 # Train learner with early stopping on spam data set
diff --git a/man/mlr_learners_regr.cv_glmnet.Rd b/man/mlr_learners_regr.cv_glmnet.Rd
index 42a81519..1ab38588 100644
--- a/man/mlr_learners_regr.cv_glmnet.Rd
+++ b/man/mlr_learners_regr.cv_glmnet.Rd
@@ -80,11 +80,30 @@ lrn("regr.cv_glmnet")
 
 \examples{
 if (requireNamespace("glmnet", quietly = TRUE)) {
-  learner = mlr3::lrn("regr.cv_glmnet")
-  print(learner)
+# Define the Learner and set parameter values
+learner = lrn("regr.cv_glmnet")
+print(learner)
 
-  # available parameters:
-learner$param_set$ids()
+# Define a Task
+task = tsk("mtcars")
+
+# Create train and test set
+ids = partition(task)
+
+# Train the learner on the training ids
+learner$train(task, row_ids = ids$train)
+
+# print the model
+print(learner$model)
+
+# importance method
+if("importance" \%in\% learner$properties) print(learner$importance)
+
+# Make predictions for the test rows
+predictions = learner$predict(task, row_ids = ids$test)
+
+# Score the predictions
+predictions$score()
 }
 }
 \references{
diff --git a/man/mlr_learners_regr.glmnet.Rd b/man/mlr_learners_regr.glmnet.Rd
index e100f539..2938319e 100644
--- a/man/mlr_learners_regr.glmnet.Rd
+++ b/man/mlr_learners_regr.glmnet.Rd
@@ -96,11 +96,30 @@ lrn("regr.glmnet")
 
 \examples{
 if (requireNamespace("glmnet", quietly = TRUE)) {
-  learner = mlr3::lrn("regr.glmnet")
-  print(learner)
+# Define the Learner and set parameter values
+learner = lrn("regr.glmnet")
+print(learner)
 
-  # available parameters:
-learner$param_set$ids()
+# Define a Task
+task = tsk("mtcars")
+
+# Create train and test set
+ids = partition(task)
+
+# Train the learner on the training ids
+learner$train(task, row_ids = ids$train)
+
+# print the model
+print(learner$model)
+
+# importance method
+if("importance" \%in\% learner$properties) print(learner$importance)
+
+# Make predictions for the test rows
+predictions = learner$predict(task, row_ids = ids$test)
+
+# Score the predictions
+predictions$score()
 }
 }
 \references{
diff --git a/man/mlr_learners_regr.kknn.Rd b/man/mlr_learners_regr.kknn.Rd
index c00a8f22..48346ecb 100644
--- a/man/mlr_learners_regr.kknn.Rd
+++ b/man/mlr_learners_regr.kknn.Rd
@@ -63,11 +63,30 @@ lrn("regr.kknn")
 
 \examples{
 if (requireNamespace("kknn", quietly = TRUE)) {
-  learner = mlr3::lrn("regr.kknn")
-  print(learner)
+# Define the Learner and set parameter values
+learner = lrn("regr.kknn")
+print(learner)
 
-  # available parameters:
-learner$param_set$ids()
+# Define a Task
+task = tsk("mtcars")
+
+# Create train and test set
+ids = partition(task)
+
+# Train the learner on the training ids
+learner$train(task, row_ids = ids$train)
+
+# print the model
+print(learner$model)
+
+# importance method
+if("importance" \%in\% learner$properties) print(learner$importance)
+
+# Make predictions for the test rows
+predictions = learner$predict(task, row_ids = ids$test)
+
+# Score the predictions
+predictions$score()
 }
 }
 \references{
diff --git a/man/mlr_learners_regr.km.Rd b/man/mlr_learners_regr.km.Rd
index 4e254363..79ac415f 100644
--- a/man/mlr_learners_regr.km.Rd
+++ b/man/mlr_learners_regr.km.Rd
@@ -72,11 +72,30 @@ lrn("regr.km")
 
 \examples{
 if (requireNamespace("DiceKriging", quietly = TRUE)) {
-  learner = mlr3::lrn("regr.km")
-  print(learner)
+# Define the Learner and set parameter values
+learner = lrn("regr.km")
+print(learner)
 
-  # available parameters:
-learner$param_set$ids()
+# Define a Task
+task = tsk("mtcars")
+
+# Create train and test set
+ids = partition(task)
+
+# Train the learner on the training ids
+learner$train(task, row_ids = ids$train)
+
+# print the model
+print(learner$model)
+
+# importance method
+if("importance" \%in\% learner$properties) print(learner$importance)
+
+# Make predictions for the test rows
+predictions = learner$predict(task, row_ids = ids$test)
+
+# Score the predictions
+predictions$score()
 }
 }
 \references{
diff --git a/man/mlr_learners_regr.lm.Rd b/man/mlr_learners_regr.lm.Rd
index 34013e0e..f9ac44ab 100644
--- a/man/mlr_learners_regr.lm.Rd
+++ b/man/mlr_learners_regr.lm.Rd
@@ -61,11 +61,30 @@ Instead, set the respective hyperparameter or use \CRANpkg{mlr3pipelines} to cre
 
 \examples{
 if (requireNamespace("stats", quietly = TRUE)) {
-  learner = mlr3::lrn("regr.lm")
-  print(learner)
+# Define the Learner and set parameter values
+learner = lrn("regr.lm")
+print(learner)
 
-  # available parameters:
-learner$param_set$ids()
+# Define a Task
+task = tsk("mtcars")
+
+# Create train and test set
+ids = partition(task)
+
+# Train the learner on the training ids
+learner$train(task, row_ids = ids$train)
+
+# print the model
+print(learner$model)
+
+# importance method
+if("importance" \%in\% learner$properties) print(learner$importance)
+
+# Make predictions for the test rows
+predictions = learner$predict(task, row_ids = ids$test)
+
+# Score the predictions
+predictions$score()
 }
 }
 \seealso{
diff --git a/man/mlr_learners_regr.nnet.Rd b/man/mlr_learners_regr.nnet.Rd
index 2be71f06..7fa81f08 100644
--- a/man/mlr_learners_regr.nnet.Rd
+++ b/man/mlr_learners_regr.nnet.Rd
@@ -73,11 +73,30 @@ lrn("regr.nnet")
 
 \examples{
 if (requireNamespace("nnet", quietly = TRUE)) {
-  learner = mlr3::lrn("regr.nnet")
-  print(learner)
+# Define the Learner and set parameter values
+learner = lrn("regr.nnet")
+print(learner)
 
-  # available parameters:
-learner$param_set$ids()
+# Define a Task
+task = tsk("mtcars")
+
+# Create train and test set
+ids = partition(task)
+
+# Train the learner on the training ids
+learner$train(task, row_ids = ids$train)
+
+# print the model
+print(learner$model)
+
+# importance method
+if("importance" \%in\% learner$properties) print(learner$importance)
+
+# Make predictions for the test rows
+predictions = learner$predict(task, row_ids = ids$test)
+
+# Score the predictions
+predictions$score()
 }
 }
 \references{
diff --git a/man/mlr_learners_regr.ranger.Rd b/man/mlr_learners_regr.ranger.Rd
index 79d16a53..9876d580 100644
--- a/man/mlr_learners_regr.ranger.Rd
+++ b/man/mlr_learners_regr.ranger.Rd
@@ -89,11 +89,30 @@ Note that \code{mtry} and \code{mtry.ratio} are mutually exclusive.
 
 \examples{
 if (requireNamespace("ranger", quietly = TRUE)) {
-  learner = mlr3::lrn("regr.ranger")
-  print(learner)
+# Define the Learner and set parameter values
+learner = lrn("regr.ranger")
+print(learner)
 
-  # available parameters:
-learner$param_set$ids()
+# Define a Task
+task = tsk("mtcars")
+
+# Create train and test set
+ids = partition(task)
+
+# Train the learner on the training ids
+learner$train(task, row_ids = ids$train)
+
+# print the model
+print(learner$model)
+
+# importance method
+if("importance" \%in\% learner$properties) print(learner$importance)
+
+# Make predictions for the test rows
+predictions = learner$predict(task, row_ids = ids$test)
+
+# Score the predictions
+predictions$score()
 }
 }
 \references{
diff --git a/man/mlr_learners_regr.svm.Rd b/man/mlr_learners_regr.svm.Rd
index 5c6823d9..73f29da4 100644
--- a/man/mlr_learners_regr.svm.Rd
+++ b/man/mlr_learners_regr.svm.Rd
@@ -49,11 +49,30 @@ lrn("regr.svm")
 
 \examples{
 if (requireNamespace("e1071", quietly = TRUE)) {
-  learner = mlr3::lrn("regr.svm")
-  print(learner)
+# Define the Learner and set parameter values
+learner = lrn("regr.svm")
+print(learner)
 
-  # available parameters:
-learner$param_set$ids()
+# Define a Task
+task = tsk("mtcars")
+
+# Create train and test set
+ids = partition(task)
+
+# Train the learner on the training ids
+learner$train(task, row_ids = ids$train)
+
+# print the model
+print(learner$model)
+
+# importance method
+if("importance" \%in\% learner$properties) print(learner$importance)
+
+# Make predictions for the test rows
+predictions = learner$predict(task, row_ids = ids$test)
+
+# Score the predictions
+predictions$score()
 }
 }
 \references{
diff --git a/man/mlr_learners_regr.xgboost.Rd b/man/mlr_learners_regr.xgboost.Rd
index 74d4a93a..9efdc31f 100644
--- a/man/mlr_learners_regr.xgboost.Rd
+++ b/man/mlr_learners_regr.xgboost.Rd
@@ -147,11 +147,30 @@ would error. Just setting a nonsense default to workaround this.
 
 \examples{
 if (requireNamespace("xgboost", quietly = TRUE)) {
-  learner = mlr3::lrn("regr.xgboost")
-  print(learner)
+# Define the Learner and set parameter values
+learner = lrn("regr.xgboost")
+print(learner)
 
-  # available parameters:
-learner$param_set$ids()
+# Define a Task
+task = tsk("mtcars")
+
+# Create train and test set
+ids = partition(task)
+
+# Train the learner on the training ids
+learner$train(task, row_ids = ids$train)
+
+# print the model
+print(learner$model)
+
+# importance method
+if("importance" \%in\% learner$properties) print(learner$importance)
+
+# Make predictions for the test rows
+predictions = learner$predict(task, row_ids = ids$test)
+
+# Score the predictions
+predictions$score()
 }
 
 # Train learner with early stopping on spam data set