Differentiate between
b. classification and regression
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●●Classification trees have dependent variables that are categorical and unordered. Regression trees have dependent variables that are continuous values or ordered whole values. Regression means to predict the output value using training data.Classification means to group the output into a class.●●
●●Classification trees have dependent variables that are categorical and unordered. Regression trees have dependent variables that are continuous values or ordered whole values. Regression means to predict the output value using training data.Classification means to group the output into a class.●●
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Step-by-step explanation:
CLASSIFICATION
The discovery of model or functions where the mapping of objects is done into predefined classes.
Involves prediction of Discrete values
Decision tree, logistic regression, etc.
Nature of the predicted data is Unordered
Method of calculation is Measuring accuracy
REGRESSION
A devised model in which the mapping of objects is done into values.
Involves prediction of Continuous values
Regression tree (Random forest), Linear regression, etc.
Nature of the predicted data is Ordered
Method of calculation is Measurement of root mean square error
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