Different results with same input in request/response if input by one row or several rows in Azure Machine Learning Studio

Michael WANG 1 Reputation point
2020-09-11T08:07:54.31+00:00

24067-image-4.png

Hi all,
I created a classifier by trained SVM and PCA as well as normalization transformation. And use Request/Response Excel to test.
And if I only input for one row, all the PCA would be "0"
24111-classificationresultwith1row.png
but if I put more than one row together then the result would change and both behavior doesn't make sense.
24085-classificationresultwith2rows.png
I read some other questions below and I wonder if something wrong in "Normalization" calculating that it didn't count by referring "Applying transformation" but simply normalizing by data input.
https://social.msdn.microsoft.com/Forums/azure/en-US/bb800d7e-2fbf-4874-a525-aae9ace5df4f/azure-ml-webservice-same-sample-file-but-different-predictions?forum=MachineLearning
https://social.msdn.microsoft.com/Forums/en-US/21938a5a-ae9c-4559-82f0-95889b359206/normalization-and-predictive-web-service?forum=MachineLearning

Azure Machine Learning
Azure Machine Learning
An Azure machine learning service for building and deploying models.
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  1. Ramr-msft 17,736 Reputation points
    2020-09-15T03:35:25.937+00:00

    @Michael WANG Thanks, Can you please add more details about the what’s the transformation method that you have applied.

    Please follow the detailed introduction to normalize data in classic studio: https://video2.skills-academy.com/en-us/azure/machine-learning/studio-module-reference/normalize-data?redirectedfrom=MSDN


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