Regression trees predict outcomes based on: O 1. a random number generator O 2. the outcomes of a group of similar points O 3. the result of a regression equation O 4. a time series forecast

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Regression trees predict outcomes based on:
O 1. a random number generator
O 2. the outcomes of a group of similar points
O 3. the result of a regression equation
O 4. a time series forecast
QUESTION 2
A regression tree splits up data points repeatedly according to:
O 1. how far the data points are from one another
O 2. whether the value for one attribute is above or below a threshold
O 3. the uniqueness of each data point
O 4. random assignment into groups
Transcribed Image Text:Regression trees predict outcomes based on: O 1. a random number generator O 2. the outcomes of a group of similar points O 3. the result of a regression equation O 4. a time series forecast QUESTION 2 A regression tree splits up data points repeatedly according to: O 1. how far the data points are from one another O 2. whether the value for one attribute is above or below a threshold O 3. the uniqueness of each data point O 4. random assignment into groups
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