If the Cumulative Gain at a depth of 10% for the Decision Tree is converted to number of primary/positive event cases, what will be the number of cases? Show your calculation The table provides data on the performance of three predictive models—Decision Tree, Logistic Regression, and Neural Network—evaluated on a validation dataset with 3,600 cases, where 12% of these cases are labeled 1 for churn (the primary/positive event).### Table Details:- **Columns**: - **Model**: The type of predictive model used. - **Depth (% Contacted)**: The percentage of the total dataset contacted, depicted in values of 5, 10, 15, and 20 percent. - **Cumulative Gain**: This shows the percentage of positive cases (churn) captured by contacting the top percentage of predicted cases. - **Cumulative Lift**: This represents the ratio of the cumulative gain to the expected gain if contacts are made randomly, indicating the model’s effectiveness.### Data Breakdown:- At 5% depth: - **Decision Tree** achieves a 34.42 cumulative gain, with a lift of 6.84. - **Logistic Regression** achieves a 20.19 cumulative gain, with a lift of 4.01. - **Neural Network** achieves a 34.62 cumulative gain, with a lift of 6.88.- At 10% depth: - **Decision Tree** achieves a 64.90 cumulative gain, with a lift of 6.06. - **Logistic Regression** achieves a 36.06 cumulative gain, with a lift of 3.15. - **Neural Network** achieves a 62.50 cumulative gain, with a lift of 5.21.- At 15% depth: - **Decision Tree** achieves a 73.96 cumulative gain, with a lift of 1.82. - **Logistic Regression** achieves a 49.04 cumulative gain, with a lift of 2.62. - **Neural Network** achieves an 82.21 cumulative gain, with a lift of 3.97.- At 20% depth: - **Decision Tree** achieves a 78.39 cumulative gain, with a lift of 0.87. - **Logistic Regression** achieves a 59.13 cumulative gain, with a lift of 2.01. - **Neural Network** achieves an 86.54 cumulative gain, with a lift of 0.86

Answered: Image /qna-images/answer/b37889eb-b4e8-45cb-b6a0-6060dce68ffe.jpg

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). Question is based on data for the 3,600 cases (see table below). Cumulative Gain Cumulative Lift 6.84 4.01 6.88 6.06 3.15 5.54 1.82 2.62 3.97 Model Decision Tree Logistic Regression Neural Network Decision Tree Logistic Regression Neural Network Decision Tree Logistic Regression Neural Network Decision Tree Logistic Regression Neural Network Depth (% Contacted) 5 5 5 10 10 10 15 15 15 20 20 20 34.42 20.19 34.62 64.90 36.06 62.50 73.96 49.04 82.21 78.39 59.13 86.54 0.87 2.01 0.86

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). Question is based on data for the 3,600 cases (see table below). Cumulative Gain Cumulative Lift 6.84 4.01 6.88 6.06 3.15 5.54 1.82 2.62 3.97 Model Decision Tree Logistic Regression Neural Network Decision Tree Logistic Regression Neural Network Decision Tree Logistic Regression Neural Network Decision Tree Logistic Regression Neural Network Depth (% Contacted) 5 5 5 10 10 10 15 15 15 20 20 20 34.42 20.19 34.62 64.90 36.06 62.50 73.96 49.04 82.21 78.39 59.13 86.54 0.87 2.01 0.86

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

List and explain all three classes of decision making?
Approval 2008. Of all the post–World War II presidents,Richard Nixon had the highest disapproval rating near theend of his presidency. His disapproval rating peaked at 66% in July 1974, just before he resigned. This percent-age has been considered by some pundits as a high water mark for presidential disapproval. However, in April 2008,George W. Bush’s disapproval rating peaked at 69%,according to a Gallup poll of 1016 voters. Pundits starteddiscussing whether his rating was discernibly worse thanthe previous high water mark of 66%. What do you think?
Why does the use of multiple t tests increases?
8 students took a test. 3 of them scored 4, 4 and 7 marks respectively. Given that the median and mode is 5, the upper quartile is 8 and the largest score is thrice the smallest score, find the scores of the other 5 students.
The boxplot below shows salaries for CPAS and Actuaries in a town. СРА Actuary 20 30 40 50 60 70 80 90 100 110 Salary (thousands of $) If a person is making the third quartile salary for a CPA, they are making less than % of Actuaries.
You may need to use the appropriate technology to answer this question. Periodically, customers of a financial services company are asked to evaluate the company's financlal consultants and services. Higher ratings on the client satisfaction survey indicate better service, with 7 the maximum service rating. Independent samples of service ratings for two financial consultants are summarized here. Consultant A has 10 years of experience, whereas consultant B has 1 year of experience. Use a = 0.05 and test to see whether the consultant with more experience has the higher population mean service rating. ConsultantA Consultant B = 16 n2 = 10 x, 6.83 x2 = 6.28 5- 0.68 52 = 0.75 (a) State the null and alternative hypotheses. O Ho: H1- H2 * 0 H: H-H2=0 O Ho: H-H2> o Ho Hy-H250 H -H2>0 O Ho: H-H2=o H: H-H2 0 O Ho: H-H25o H H-H2 0 (b) Compute the value of the test statistic. (Round your answer to three decimal places.) (c) What is the p-value? (Round your answer to four decimal places.) p-value…
a pollster wnats to minimize the effect the order of the questions has on a person's response to a survey. how many different surveys are required to cover all possible arrangements if there are 9 questions on the survey?
How can compute the mean of the success conditions by multiplying each success mean by 0.5?
Mrs Moore is a agriculturalist and would like to drill for water on her farm. She needs water for irrigation and estimates the benefits of having a successful borehole as $2.0m. However, there is only a 10% chance that she will strike water if she drills and the cost of drilling is $100 000. The alternative is not to drill at all, in which case the benefit will be zero. Draw a decision tree to represent the problem. Should Mrs Moore go ahead and drill? There is another agriculturalist in a nearby state who claims to have supernatural powers to indicate underground water sources. However, he charges a fee and also travel cost. What is the most Mrs Moore should pay for the services? Before Mrs Moore drills, she could also consult a geologist who can assess the promise of the piece of land. He can tell her whether the prospects are “good” or “poor.” But he is not a perfect predictor. If there is water, the conditional probability is 0,95 that he will say that prospects are good. If…