The accompanying data set contains two predictor variables (x 1 and x 2 ) and the target
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The accompanying data set contains two predictor variables (x1 and x2) and the target variable (y). Partition the data to develop a naïve Bayes classification model where “1” denotes the positive or success class for y.
a. Report the accuracy, sensitivity, specificity, and precision rates for the validation data set.
b. Generate the decile-wise lift chart. What is the lift value of the leftmost bar?
c. Generate the ROC curve. What is the area under the ROC curve (or the AUC value)?
d. Can the naïve Bayes model be used to effectively classify the data? Explain.
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a Cutoff Value 50 Using the validation data set Accuracy rate 8608 Specificity 09184 Sensitivity 07667 b The lift value of the leftmost bar is 263 c The AUC value is 09095 d The performance measuremen...View the full answer
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Related Book For
Business Analytics Communicating With Numbers
ISBN: 9781260785005
1st Edition
Authors: Sanjiv Jaggia, Alison Kelly, Kevin Lertwachara, Leida Chen
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