CODEWITHSUNDEEP
pythonazuremachine-learningazure-machine-learning-service
Reza
Reza

Reputation: 2036

Why Azure ML , scored probability response greater than 1?

I have setup an Azure ML experiment,using "Boosted Decision Tree Regression".

My evaluation results are as follows:

"Scored Labels": "N",
"Scored Probabilities": "0.023*************"

While testing the deployed web service with data, I am sometimes seeing a scored probability that is greater than 1!

"Scored Labels": "N", 
"Scored Probabilities": "1.144*************"

As per my understanding, probability of anything can never be grater than 1. What does a scored probability > 1 in this case mean?

Upvotes: 0

Views: 544

Answers (1)

Peter Pan
Peter Pan

Reputation: 24138

It's related to Score Model and up to the type of your used model Boosted Decision Tree Regression.

Please refer to the subsection Results of the offical document Score Model, as below.

The score, or predicted value, can be in many different formats, depending on the model and your input data:

  • For classification models, Score Model outputs a predicted value for the class, as well as the probability of the predicted value.
  • For regression models, Score Model generates just the predicted numeric value.
  • For image classification models, the score might be the class of object in the image, or a Boolean indicating whether a particular feature was found.

So in your case, the Scored Probabilities value is just the predicted numeric value, not the probability value.

If you want to get a value between 0 and 1, you can use the Normalize Data Module to change it to a 0-1 scale.

Upvotes: 2

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