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Unsupervised Learning
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Dimensionality Reduction
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Explained variance
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280.
Explained Variance Ratio Definition
easy
What does the explained variance ratio of a principal component measure?
A
The proportion of features that are correlated with that principal component direction
B
The ratio of the component's eigenvalue to the largest eigenvalue in the covariance matrix
C
The fraction of training samples whose reconstruction error is minimized by that component
D
The proportion of total dataset variance captured by that component
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