Rename file changes

Author: ssalgadodev

articles/machine-learning/component-reference-v2/automl-classification.md renamed to articles/machine-learning/component-reference-v2/classification.md

@@ -61,9 +61,6 @@ If deep learning is enabled, validation is limited to _train_validation split_.
         * You can either provide your own test dataset or opt to use a percentage of your training dataset. Test data must be in the form of an [Azure Machine Learning TabularDataset](../v1/how-to-create-register-datasets.md#tabulardataset).         
         * The schema of the test dataset should match the training dataset. The target column is optional, but if no target column is indicated no test metrics are calculated.
         * The test dataset should not be the same as the training dataset or the validation dataset.
-       
-        
-        ![Screenshot shows the form where to select validation data and test data](/media/how-to-use-automated-ml-for-ml-models/validate-test-form.png)
 
 
 ## Next steps

articles/machine-learning/component-reference-v2/automl-forecasting.md renamed to articles/machine-learning/component-reference-v2/forecasting.md

@@ -1,7 +1,7 @@
 ---
-title:  "AutoML Image Classification Multilable"
+title:  "AutoML Image Classification Multi-lable"
 titleSuffix: Azure Machine Learning
-description: Learn how to use the AutoML Image Classification Multilable component in Azure Machine Learning to create a classifier using ML Table data.
+description: Learn how to use the AutoML Image Classification Multi-lable component in Azure Machine Learning to create a classifier using ML Table data.
 services: machine-learning
 ms.service: machine-learning
 ms.subservice: core
@@ -12,11 +12,11 @@ ms.reviewer: ssalgadodev
 ms.date: 12/1/2022
 ---
 
-# AutoML Image Classification Multilable
+# AutoML Image Classification Multi-lable
 
 This article describes a component in Azure Machine Learning designer.
 
-Use this component to create a machine learning model that is based on the AutoML Image Classification Multilable.
+Use this component to create a machine learning model that is based on the AutoML Image Classification Multi-lable.
 
 Multi-label image classification is a computer vision task where the goal is to predict a set of labels associated with each individual image. You may consider using multi-label classification where you need to determine several properties of a given image.
 
@@ -38,7 +38,7 @@ AutoML runs a number of trials (specified in `max_trials`) in parallel (`specifi
 
 
 
-1.  Add the **AutoML Image Classification Multilable** component to your pipeline.
+1.  Add the **AutoML Image Classification Multi-lable** component to your pipeline.
 
 1.  Specify the **Target Column** you want the model to output 
 

articles/machine-learning/component-reference-v2/automl-image-classification-multilabel.md renamed to articles/machine-learning/component-reference-v2/image-classification-multilabel.md

@@ -1,7 +1,7 @@
 ---
-title:  "AutoML Text Multilabel Classification"
+title:  "AutoML Text Multi-label Classification"
 titleSuffix: Azure Machine Learning
-description: Learn how to use the AutoML Text Multilabel Classification component in Azure Machine Learning to create a classifier using ML Table data.
+description: Learn how to use the AutoML Text Multi-label Classification component in Azure Machine Learning to create a classifier using ML Table data.
 services: machine-learning
 ms.service: machine-learning
 ms.subservice: core
@@ -12,13 +12,13 @@ ms.reviewer: ssalgadodev
 ms.date: 12/1/2022
 ---
 
-# AutoML Text Multilabel Classification
+# AutoML Text Multi-label Classification
 
 This article describes a component in Azure Machine Learning designer.
 
-Use this component to create a machine learning model that is based on the AutoML Text Multilabel Classification.
+Use this component to create a machine learning model that is based on the AutoML Text Multi-label Classification.
 
-Multilabel text classification is for use cases where each example may be assigned more than one label, as opposed to single-label multiclass text classification where every example is labeled with the single most probable class.
+Multi-label text classification is for use cases where each example may be assigned more than one label, as opposed to single-label multiclass text classification where every example is labeled with the single most probable class.
 
 ## How to configure 
 
@@ -27,7 +27,7 @@ This component trains an NLP classification model on text data. Text classificat
 This model requires a training and a validation dataset. The datasets must be in ML Table format.
 
 
-1.  Add the **AutoML Text Multilabel Classification** component to your pipeline.
+1.  Add the **AutoML Text Multi-label Classification** component to your pipeline.
 
 1.  Specify the **Target Column** you want the model to output