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Consider the following Decision Tree which is extracted from a bigger tree representing Churners ( 1 ) and Non Churners ( 0 ) in a

Consider the following Decision Tree which is extracted from a bigger tree representing Churners

(1)

and Non Churners

(0)

in a telecom company based on factors like ContractRenewal

_1,

DayMins, DataUsage in GB etc.

HINT: Assume this to be an independent decision tree.

_

parent.png

What insights can we draw from the excerpt of this Decision Tree?

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