For Exercises 1214, use the data set churn. Normalize the numerical data, recode the categorical variables, and

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For Exercises 12–14, use the data set churn. Normalize the numerical data, recode the categorical variables, and deal with the correlated variables.

Compare the neural network model with the CART and C4.5 models for this task in Chapter 6. Describe the benefits and drawbacks of the neural network model compared to the others. Is there convergence or divergence of results among the models?

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Discovering Knowledge In Data An Introduction To Data Mining

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For Exercises 1214, use the data set churn. Normalize the numerical data, recode the categorical variables, and

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Comparison of Neural Network CART and C45 Models for Churn Prediction Normalization and Recoding Before comparing the models we need to normalize the ...View the full answer

Discovering Knowledge In Data An Introduction To Data Mining

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