What does PCA stand for in machine learning?

Subject: Machine Learning

Topic: Statistical Learning and Feature Engineering

Options:

1. Option A: Primary Component Analysis
2. Option B: Principal Component Analysis
3. Option C: Predictive Component Algorithm
4. Option D: Pre-Processing Computational Analysis

Correct Answer:

Option B: Principal Component Analysis

Explanation:

PCA stands for Principal Component Analysis, a widely used dimensionality reduction and feature extraction technique.