Feature Selection, Extraction and Reduction

Question 1

A. Kendall correlation
B. Spearman correlation
C. Chi-squared
D. Pearson correlation

Answer 1

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Question 2

Principal Components Analysis (PCA) sampling

Answer 2

The Principal Component Analysis module in Azure Machine Learning Studio (classic) is used to reduce the dimensionality of your training data. The module analyzes your data and creates a reduced feature set that captures all the information contained in the dataset, but in a smaller number of features.

Question 3

A. Mutual information
B. Mood’s median test
C. Kendall correlation
D. Permutation Feature Importance

Answer 3

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