P39Machine LearningIntermediateInterpret10 min
Interpret a PCA Projection
Interpret explained variance and PCA's representational trade-off.
#pca#dimensionality reduction#explained variance#scaling
Scenario
A numeric dataset reports PC1=52%, PC2=27%, PC3=9%, remaining=12% explained variance.
Problem statement
Assess a two-component visualization.
Your Task
- Calculate cumulative variance.
- Interpret it.
- Explain PC versus original feature.
- Contrast PCA and feature selection.
- Explain scaling and interpretability.
Related Concepts
Principal componentsFeature selectionStandardization
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