Which of the following are feature engineering techniques? (Select 2 answers)

The correct answer is C. Crossed feature columns D. Bucketization of a continuous feature. Explanation/Reference: Selecting and crafting the right set of feature columns is key to learning an effective model. Bucketization is a process of dividing the entire range of a continuous feature into a set of consecutive bins/buckets, and then converting the original numerical

Submitted by javi_es· Mar 30, 2026Operationalizing machine learning models

Question

Which of the following are feature engineering techniques? (Select 2 answers)

Options

AHidden feature layers
BFeature prioritization
CCrossed feature columns
DBucketization of a continuous feature

How the community answered

(37 responses)

A
5% (2)
B
3% (1)
C
92% (34)

Explanation

Explanation/Reference: Selecting and crafting the right set of feature columns is key to learning an effective model. Bucketization is a process of dividing the entire range of a continuous feature into a set of consecutive bins/buckets, and then converting the original numerical feature into a bucket ID (as a categorical feature) depending on which bucket that value falls into. Using each base feature column separately may not be enough to explain the data. To learn the differences between different feature combinations, we can add crossed feature columns to the model.

Topics

#feature engineering#crossed feature columns#bucketization#data preprocessing

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