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IEEE/ICACT20220017 Slide.07        [Big Slide]	Oral Presentation
	Before model construction, feature selection was performed so as to utilize the most important features of the customer data to maximize the model¡¯s predictive power. We computed a rank of the variables by assigning an importance value to each feature with the use of information gain. The top five features were found to be the most important with a positive information gain while the information values for all other variables were computed to be zero. These top five features are PercentLegacyProducts, PercentLegacyRental, PercentLegacyMins, LastCISInstall and LegacyMins.

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