A confusion matrix shows how frequently an algorithm’s predicted values match the actual values in your test dataset. Tr

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answerhappygod
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A confusion matrix shows how frequently an algorithm’s predicted values match the actual values in your test dataset. Tr

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A confusion matrix shows how frequently an algorithm’s predicted
values match the actual values in your test dataset.
True
False
Choose all that are TRUE about Clustering
Group of answer choices
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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