Machine Learning Techniques, Quiz 2
January 2026 term, 12 Apr 2026, Set 1-3
PCA has reduced the dimensionality of the dataset because the combinations of features are de-correlated.
PCA has not reduced the dimensionality of the dataset because all principal components are retained.
PCA always reduces the dimensionality of the dataset regardless of the number of components retained.
PCA can never be used for dimensionality reduction.
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