diff --git a/docs/reference/ml/df-analytics/apis/put-dfanalytics.asciidoc b/docs/reference/ml/df-analytics/apis/put-dfanalytics.asciidoc
index f30c81b4a40..7eb90511b34 100644
--- a/docs/reference/ml/df-analytics/apis/put-dfanalytics.asciidoc
+++ b/docs/reference/ml/df-analytics/apis/put-dfanalytics.asciidoc
@@ -60,21 +60,22 @@ may contain documents that don't have an {olscore}.
 
 ====== {regression-cap}
 
-{regression-cap} supports fields that are numeric, boolean, text, keyword and ip. It 
-is also tolerant of missing values. Fields that are supported are included in 
-the analysis, other fields are ignored. Documents where included fields contain 
-an array with two or more values are also ignored. Documents in the `dest` index 
-that don’t contain a results field are not included in the {reganalysis}.
+{regression-cap} supports fields that are numeric, `boolean`, `text`, `keyword`, 
+and `ip`. It is also tolerant of missing values. Fields that are supported are 
+included in the analysis, other fields are ignored. Documents where included
+fields contain  an array with two or more values are also ignored. Documents in
+the `dest` index  that don’t contain a results field are not included in the
+ {reganalysis}.
 
 
 ====== {classification-cap}
 
-{classification-cap} supports fields that are numeric, boolean, text, keyword 
-and ip. It is also tolerant of missing values. Fields that are supported are 
-included in the analysis, other fields are ignored. Documents where included 
-fields contain an array with two or more values are also ignored. Documents in 
-the `dest` index that don’t contain a results field are not included in the 
-{classanalysis}.
+{classification-cap} supports fields that are numeric, `boolean`, `text`,
+`keyword`, and `ip`. It is also tolerant of missing values. Fields that are 
+supported are included in the analysis, other fields are ignored. Documents
+where included fields contain an array with two or more values are also ignored. 
+Documents in the `dest` index that don’t contain a results field are not
+included in the {classanalysis}.
 
 {classanalysis-cap} can be improved by mapping ordinal variable values to a 
 single number. For example, in case of age ranges, you can model the values as