Home » Microsoft » DP-100 v.2 » You need to select a feature extraction method.
You need to select a feature extraction method.
Which method should you use?
A. Mutual information
B. Pearson’s correlation
C. Spearman correlation
D. Fisher Linear Discriminant Analysis
Correct Answer: C
Explanation/Reference:
Explanation:
Spearman’s rank correlation coefficient assesses how well the relationship between two variables can be described using a monotonic function.
Note: Both Spearman’s and Kendall’s can be formulated as special cases of a more general correlation coefficient, and they are both appropriate in this scenario.
Scenario: The MedianValue and AvgRoomsInHouse columns both hold data in numeric format. You need to select a feature selection algorithm to analyze the relationship between the two columns in more detail.
Incorrect Answers:
B: The Spearman correlation between two variables is equal to the Pearson correlation between the rank values of those two variables; while Pearson’s correlation assesses linear relationships, Spearman’s correlation assesses monotonic relationships (whether linear or not).
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/feature-selection-modules03 – Perform Feature Engineering