Understand the crucial role of featurization in model training. Learn how it encompasses label and feature selection, scaling, and normalization, crucial for robust and accurate AI model development.
Table of Contents
Question
When you prepare data for the model training, you have to use your domain knowledge to select the label (or labels), features, and scale and normalize them.
What is the generic name for the process that includes all the steps mentioned above?
A. Feature selections
B. Data normalization
C. Model training
D. Featurization
E. Missing data handling
Answer
D. Featurization
Explanation
Data pre-processing involves various techniques, like scaling, normalization or feature engineering, etc. calls featurization.
Option A is incorrect because Feature selections is one of the elements of featurization.
Option B is incorrect because Data normalization is also one of the elements of featurization.
Option C is incorrect because Model Training is the next predictive modeling step after featurization.
Option E is incorrect because Missing data handling is one of the elements of featurization.
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