diff --git a/docs/reference/ml/ml-shared.asciidoc b/docs/reference/ml/ml-shared.asciidoc
index a480498498518..5340f0f141b3d 100644
--- a/docs/reference/ml/ml-shared.asciidoc
+++ b/docs/reference/ml/ml-shared.asciidoc
@@ -645,14 +645,6 @@ end::include-model-definition[]
 tag::indices[]
 An array of index names. Wildcards are supported. For example:
 `["it_ops_metrics", "server*"]`.
-
-tag::num-top-feature-importance-values[]
-Advanced configuration option. If set, feature importance for the top
-most important features will be computed. Importance is calculated
-using the SHAP (SHapley Additive exPlanations) method as described in
-https://papers.nips.cc/paper/7062-a-unified-approach-to-interpreting-model-predictions.pdf[Lundberg, S. M., & Lee, S.-I. A Unified Approach to Interpreting Model Predictions. In NeurIPS 2017.].
-end::num-top-feature-importance-values[]
-
 +
 --
 NOTE: If any indices are in remote clusters then `cluster.remote.connect` must
@@ -911,6 +903,13 @@ total number of categories (in the {version} version of the {stack}, it's two)
 to predict then we will report all category probabilities. Defaults to 2.
 end::num-top-classes[]
 
+tag::num-top-feature-importance-values[]
+Advanced configuration option. If set, feature importance for the top
+most important features will be computed. Importance is calculated
+using the SHAP (SHapley Additive exPlanations) method as described in
+https://papers.nips.cc/paper/7062-a-unified-approach-to-interpreting-model-predictions.pdf[Lundberg, S. M., & Lee, S.-I. A Unified Approach to Interpreting Model Predictions. In NeurIPS 2017.].
+end::num-top-feature-importance-values[]
+
 tag::over-field-name[]
 The field used to split the data. In particular, this property is used for 
 analyzing the splits with respect to the history of all splits. It is used for