Standard Scaler

Data preprocessing: Standardize features by removing mean and scaling to unit variance

Speed:

Data Generation

Legend

Original Data
Standardized Data
Standard Normal (μ=0, σ=1)

About Standard Scaling

Purpose: Standardize features to mean=0, variance=1

Formula: X_scaled = (X - μ) / σ

Use Case: Algorithms assuming standard normal distribution

Robust to: Outliers (compared to MinMax)