70-774 · Question #62
You are building an Azure Machine Learning experiment. You are preparing the output of a Boosted Decision Tree Regression module. You add a Normalize Data module to the experiment. You need to…
The correct answer is A. MinMax. The min-max normalizer linearly rescales every feature to the [0,1] interval. https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/normalize-data
Question
You are building an Azure Machine Learning experiment. You are preparing the output of a Boosted Decision Tree Regression module. You add a Normalize Data module to the experiment. You need to ensure that the range of the transformation method produces an output on a scale of -1 to 1. Which transformation method should you use?
Options
- AMinMax
- BTanH
- CLogistic
- DZscore
- ELogNormal
How the community answered
(27 responses)- A70% (19)
- B4% (1)
- C4% (1)
- D15% (4)
- E7% (2)
Explanation
The min-max normalizer linearly rescales every feature to the [0,1] interval. https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/normalize-data
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