--- a/train_test_split.xml	Wed Mar 11 13:51:33 2020 -0400
+++ b/train_test_split.xml	Fri Oct 02 08:59:31 2020 +0000
@@ -268,7 +268,13 @@
     </tests>
     <help><![CDATA[
 **What it does**
-This tool implements splitter function and classes from `sklearn.model_selection` module to split contents (rows) of a table into two subsets for training and test, respectively . The simple train test split mode not only supports shuffle split and stratified shuffle split natively carried by the `train_test_split` function, but also gets extended to do group shuffle. The cross-validation splitter mode supports more diverse splitting strategies. Each tool run outputs one split, train and test. To get different splitting sets, for example, nested CV, multiple tool runs are needed with different `nth_split`.
+
+This tool implements splitter function and classes from `sklearn.model_selection` module to split contents (rows) of a table into
+two subsets for training and test, respectively . The simple train test split mode not only supports shuffle split and stratified
+shuffle split natively carried by the `train_test_split` function, but also gets extended to do group shuffle.
+The cross-validation splitter mode supports more diverse splitting strategies. Each tool run outputs one split, train and test.
+To get different splitting sets, for example, nested CV, multiple tool runs are needed with different `nth_split`.
+Example: 6-fold CV. Set `n_splits` to 6. Run the tool 6 times with the same parameters, but set `nth_split` according to the number of the run (1-6). 
 
 - Train Test Split mode
     - direct split, no shuffle
@@ -288,4 +294,4 @@
 
     ]]></help>
     <expand macro="sklearn_citation"/>
-</tool>
\ No newline at end of file
+</tool>