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- In classification, you're predicting a category, and in regression, you're predicting a number
- Determining whether power usage will rise or fall
- Determine the regression line that best fits the samples.
- In simple linear regression, the input has only one variable. In multiple linear regression, the input has more than one variables.
- To segment data so that differences between samples in the same cluster are minimized and differences between samples of different clusters are maximized.
- All of these choices are valid uses of the resulting clusters.
- The mean of all the samples in the cluster
- Assign each sample to the closest centroid, then calculate the new centroid.
- To find rules to capture associations between items or events
- A transaction or set of items that occur together
- Captures the frequency of that item set
- Prune rules by eliminating rules with low confidence
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