MLS-C01 · Question #185
MLS-C01 Question #185: Real Exam Question with Answer & Explanation
The correct answer is B: Correlation plot with heat maps. Correlation with heatmaps help us eliminate multicollinearity, Univariate testing helps us see which ones are correlated with the target, same as feature importances of tree-based algorithms.
Question
A company that manufactures mobile devices wants to determine and calibrate the appropriate sales price for its devices. The company is collecting the relevant data and is determining data features that it can use to train machine learning (ML) models. There are more than 1,000 features, and the company wants to determine the primary features that contribute to the sales price. Which techniques should the company use for feature selection? (Choose three.)
Options
- AData scaling with standardization and normalization
- BCorrelation plot with heat maps
- CData binning
- DUnivariate selection
- EFeature importance with a tree-based classifier
- FData augmentation
Explanation
Correlation with heatmaps help us eliminate multicollinearity, Univariate testing helps us see which ones are correlated with the target, same as feature importances of tree-based algorithms.
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