Github user manishamde commented on a diff in the pull request:
https://github.com/apache/spark/pull/3461#discussion_r21067657
--- Diff: docs/mllib-decision-tree.md ---
@@ -103,36 +106,73 @@ and the resulting `$M-1$` split candidates are
considered.
### Stopping rule
-The recursive tree construction is stopped at a node when one of the two
conditions is met:
+The recursive tree construction is stopped at a node when one of the
following conditions is met:
1. The node depth is equal to the `maxDepth` training parameter.
-2. No split candidate leads to an information gain at the node.
+2. No split candidate leads to an information gain greater than
`minInfoGain`.
+3. No split candidate produces child nodes which each have at least
`minInstancesPerNode` training instances.
+
+## Usage tips
+
+We include a few guidelines for using decision trees by discussing the
various parameters.
+There are many parameters, put in order here with the most imporant first.
New users should mainly consider the "Problem specification parameters"
section below and the `maxDepth` parameter.
--- End diff --
Rephrase? The parameters are listed here in descending order of importance.
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