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Effect of Feature Scaling

Explore the role of feature scaling in optimizing K-Nearest Neighbors models. Understand how standardizing features using StandardScaler affects distance calculations and model predictions. Gain practical skills in applying scaling transformations and saving scaler objects for consistent preprocessing.

If we recall the theory of KNN, it is a distance-based algorithm, and feature scaling is an important step that we intentionally skipped. Let’s see if we can improve the model performance with feature scaling.

Effect of feature scaling on KNN

KNN makes decisions by identifying the votes from the training data points nearest to the test data point (majority voting based on the k value). ...