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What is the main goal of feature scaling?
Practice Questions
Q1
What is the main goal of feature scaling?
To reduce the number of features
To ensure all features contribute equally to the distance calculations
To improve the interpretability of the model
To increase the complexity of the model
Questions & Step-by-Step Solutions
What is the main goal of feature scaling?
Steps
Concepts
Step 1: Understand that features are the different pieces of data we use in a model.
Step 2: Realize that features can have different ranges (like age from 0-100 and income from 0-100,000).
Step 3: Know that some algorithms (like K-Nearest Neighbors) use distance to make decisions.
Step 4: Understand that if features are on different scales, the algorithm might be biased towards the feature with the larger range.
Step 5: Learn that feature scaling adjusts the features to a similar scale, so they contribute equally to the distance calculations.
No concepts available.
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