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A confusion matrix shows how frequently an algorithms predicted values match the actual values in your test dataset. True False Choose all that are TRUE

A confusion matrix shows how frequently an algorithms predicted values match the actual values in your test dataset.

True

False

Choose all that are TRUE about Clustering

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All clusters should be close to each other

Clustering is possible with only 2 and 3 variables

In K-Means clustering, K represents the number of clusters

All of them are FALSE

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