70-774 · Question #54
You need to identify which columns are more predictive by using a statistical method. Which module should you use?
The correct answer is A. Filter Based Feature Selection. In machine learning and statistics, feature selection is the process of selecting a subset of relevant, useful features to use in building an analytical model. Feature selection helps narrow the field of data to the most valuable inputs. Narrowing the field of data helps reduce…
Question
You need to identify which columns are more predictive by using a statistical method. Which module should you use?
Options
- AFilter Based Feature Selection
- BPrincipal Component Analysis
- CGroup Data into Bins
- DTune Model Hyperparameters
How the community answered
(42 responses)- A76% (32)
- B2% (1)
- C7% (3)
- D14% (6)
Explanation
In machine learning and statistics, feature selection is the process of selecting a subset of relevant, useful features to use in building an analytical model. Feature selection helps narrow the field of data to the most valuable inputs. Narrowing the field of data helps reduce noise and improve training performance. Feature selection is an important tool in machine learning. Machine Learning Studio provides multiple methods for performing feature selection. Choose a feature selection method based on the type of data that you have, and the requirements of the statistical technique that's applied. https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/feature- selection-modules
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