MinMax Scaler

Data preprocessing: Scale features to a fixed range

Speed:

Data Generation

Feature Range

Formula: X_scaled = (X - X_min) / (X_max - X_min) * (max - min) + min

Legend

Original Data
Scaled Data
Feature Range Bounds

About MinMax Scaling

Purpose: Scale features to a fixed range

Default Range: [0, 1]

Use Case: Neural networks, image processing

Sensitive to: Outliers