Assume there are 3,600 cases in the validation dataset, and 12% of these cases have a value of 1 forchurn (the primary/positive event). Questions a) to c) are based on data for the 3,600 cases (seetable below).Depth(% Contacted)ModelCumulative GainCumulative LiftDecision Tree34.426.84Logistic RegressionNeural Network20.194.0134.626.88Decision TreeLogistic RegressionNeural Network1064.906.061036.063.151062.505.54Decision Tree1573.961.82Logistic RegressionNeural Network1549.042.621582.213.97Decision TreeLogistic Regression2078.390.872059.132.01Neural Network2086.540.86a) Which model has the highest Cumulative Lift at a depth of 20%? What is the lift?b) If the Cumulative Gain at a depth of 10% for the Decision Tree is converted to number ofprimary/positive event cases, what will be the number of cases? Show your calculation.c) If the Cumulative Gain at a depth of 15% for the Neural Network model is converted to numberof primary/positive event cases, what will be the number of cases? Show your calculation.

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Assume there are 3,600 cases in the validation dataset, and 12% of these cases have a value of 1 for churn (the primary/positive event). Questions a) to c) are based on data for the 3,600 cases (see table below). Depth (% Contacted) Model Cumulative Gain Cumulative Lift Decision Tree 34.42 6.84 Logistic Regression Neural Network Decision Tree Logistic Regression Neural Network Decision Tree Logistic Regression Neural Network Decision Tree Logistic Regression Neural Network 5 20.19 4.01 34.62 6.88 10 64.90 6.06 10 36.06 3.15 10 62.50 5.54 15 73.96 1.82 15 49.04 2.62 15 82.21 3.97 20 78.39 0.87 20 59.13 2.01 20 86.54 0.86 a) Which model has the highest Cumulative Lift at a depth of 20%? What is the lift?

Assume there are 3,600 cases in the validation dataset, and 12% of these cases have a value of 1 for churn (the primary/positive event). Questions a) to c) are based on data for the 3,600 cases (see table below). Depth (% Contacted) Model Cumulative Gain Cumulative Lift Decision Tree 34.42 6.84 Logistic Regression Neural Network Decision Tree Logistic Regression Neural Network Decision Tree Logistic Regression Neural Network Decision Tree Logistic Regression Neural Network 5 20.19 4.01 34.62 6.88 10 64.90 6.06 10 36.06 3.15 10 62.50 5.54 15 73.96 1.82 15 49.04 2.62 15 82.21 3.97 20 78.39 0.87 20 59.13 2.01 20 86.54 0.86 a) Which model has the highest Cumulative Lift at a depth of 20%? What is the lift?

FINANCIAL ACCOUNTING

10th Edition

ISBN:9781259964947

Author:Libby

Publisher:Libby

Chapter1: Financial Statements And Business Decisions

Section: Chapter Questions

Problem 1Q

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