edit

Author: ktoliver

articles/machine-learning/how-to-create-text-labeling-projects.md

@@ -147,7 +147,7 @@ To use ML-assisted labeling:
 1. Select the **Dataset language** for the project. This list shows all languages that the [TextDNNLanguages Class](/python/api/azureml-automl-core/azureml.automl.core.constants.textdnnlanguages?view=azure-ml-py&preserve-view=true) supports.
 1. Specify a compute target to use. If you don't have a compute target in your workspace, this step creates a compute cluster and adds it to your workspace. The cluster is created with a minimum of zero nodes, and it costs nothing when not in use.
 
-### More information
+### More information about ML-assisted labeling
 
 At the start of your labeling project, the items are shuffled into a random order to reduce potential bias. However, the trained model reflects any biases present in the dataset. For example, if 80 percent of your items are of a single class, then approximately 80 percent of the data that's used to train the model lands in that class.