AWS machine-learning documentation change

Service: machine-learning · 2026-05-04 · Documentation low

File: machine-learning/latest/dg/step-5-create-predictions.md

Summary

Revised image captions in the predictions documentation for better clarity and detail

Security assessment

All modifications are limited to image caption enhancements without any changes to security protocols, permissions, or vulnerability disclosures. The S3 permission dialog mentions remain unchanged in substance.

Diff

diff --git a/machine-learning/latest/dg/step-5-create-predictions.md b/machine-learning/latest/dg/step-5-create-predictions.md
index c5303b49c..d7c14033d 100644
--- a//machine-learning/latest/dg/step-5-create-predictions.md
+++ b//machine-learning/latest/dg/step-5-create-predictions.md
@@ -29 +29 @@ For applications that require real-time predictions, you must create a real-time
-![Navigation pane with "Try real-time predictions" option circled in red.](/images/machine-learning/latest/dg/images/try-real-time-prediction-menu.png)
+![ML model report navigation pane with Try real-time predictions option highlighted.](/images/machine-learning/latest/dg/images/try-real-time-prediction-menu.png)
@@ -33 +33 @@ For applications that require real-time predictions, you must create a real-time
-![Button labeled "Paste a record" highlighted in a web interface form.](/images/machine-learning/latest/dg/images/paste-a-record.png)
+![Paste a record button highlighted in the real-time predictions interface.](/images/machine-learning/latest/dg/images/paste-a-record.png)
@@ -41 +41 @@ For applications that require real-time predictions, you must create a real-time
-![Table row showing 'age' attribute with Numeric type and Value of 32.0.](/images/machine-learning/latest/dg/images/value-column.png)
+![Table row showing age attribute with Numeric type and value of 32.0.](/images/machine-learning/latest/dg/images/value-column.png)
@@ -51 +51 @@ The prediction appears in the **Prediction results** pane on the right. This pre
-![Prediction results showing binary ML model with predicted label 0 and score 0.033486433.](/images/machine-learning/latest/dg/images/real-time-result.png)
+![Prediction results pane showing predicted label 0 with score 0.03348433 using SGD algorithm.](/images/machine-learning/latest/dg/images/real-time-result.png)
@@ -62 +62 @@ Now, create a batch prediction. You will provide Amazon ML with the name of the
-![Amazon Machine Learning dropdown menu with Batch Predictions option highlighted.](/images/machine-learning/latest/dg/images/image29.png)
+![Amazon Machine Learning menu expanded showing Dashboard, Datasources, ML Models, Evaluations, and Batch Predictions options.](/images/machine-learning/latest/dg/images/image29.png)
@@ -76 +76 @@ For **Locate the input data** , choose **My data is in S3, and I need to create
-![Radio button options for locating input data, with the second option selected.](/images/machine-learning/latest/dg/images/image31.png)
+![Two radio button options: one for existing datasource, one selected for creating new datasource.](/images/machine-learning/latest/dg/images/image31.png)
@@ -98 +98 @@ Amazon ML validates the location of your data.
-![Dialog box asking to grant Amazon Machine Learning write permission on S3 location.](/images/machine-learning/latest/dg/images/image32.png)
+![S3 permissions dialog box requesting write permission with No and Yes buttons.](/images/machine-learning/latest/dg/images/image32.png)
@@ -111 +111 @@ The batch prediction request is sent to Amazon ML and entered into a queue. The
-![Amazon Machine Learning dropdown menu showing options including Batch Predictions.](/images/machine-learning/latest/dg/images/image33.png)
+![Amazon Machine Learning navigation menu with Batch Predictions option highlighted.](/images/machine-learning/latest/dg/images/image33.png)
@@ -115 +115 @@ The batch prediction request is sent to Amazon ML and entered into a queue. The
-![Batch prediction details including name, ID, status, and associated data sources and models.](/images/machine-learning/latest/dg/images/image34.png)
+![Batch prediction details showing ID, creation time, status, datasource ID, model ID, and S3 URLs.](/images/machine-learning/latest/dg/images/image34.png)
@@ -119 +119 @@ The batch prediction request is sent to Amazon ML and entered into a queue. The
-![AWS S3 console showing a single file in the batch-prediction result folder.](/images/machine-learning/latest/dg/images/image35.png)
+![S3 bucket showing the bp-u5DMGZYFa9I-banking-batch.csv.gz file in the result folder.](/images/machine-learning/latest/dg/images/image35.png)
@@ -125 +125 @@ The prediction is stored in a compressed .gzip file with the .gz extension.
-![Table showing bestAnswer scores with numerical values ranging from 0.00046 to 0.30811.](/images/machine-learning/latest/dg/images/image36.png)
+![Table showing bestAnswer scores with values ranging from 0.06046 to 0.30811.](/images/machine-learning/latest/dg/images/image36.png)
@@ -136 +136 @@ Positive prediction:
-![Table showing bestAnswer score of 1 with a corresponding value of 0.822876.](/images/machine-learning/latest/dg/images/image37.png)
+![Table showing bestAnswer score of 1 with confidence value 0.8228876.](/images/machine-learning/latest/dg/images/image37.png)