If the Cumulative Gain at a depth of 15% for the Neural Network model is converted to number of primary/positive event cases, what will be the number of cases? Show your calculation.
If the Cumulative Gain at a depth of 15% for the Neural Network model is converted to number of primary/positive event cases, what will be the number of cases? Show your calculation.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
- If the Cumulative Gain at a depth of 15% for the Neural Network model is converted to number of primary/positive
event cases, what will be the number of cases? Show your calculation.
![### Text and Table Information for an Educational Website
**Scenario:**
There are 3,600 cases in the validation dataset. In this dataset, 12% of the cases have a value of 1 for churn, which is considered the primary or positive event. The following information is derived from analyzing these 3,600 cases using different models.
**Table Explained:**
The table below presents the performance metrics of three types of models: Decision Tree, Logistic Regression, and Neural Network, at different depths of contact. The 'Depth (% Contacted)' column indicates the percentage of cases contacted or considered, and performance is evaluated in terms of 'Cumulative Gain' and 'Cumulative Lift'.
| Model | Depth (% Contacted) | Cumulative Gain | Cumulative Lift |
|---------------------|----------------------|-----------------|-----------------|
| Decision Tree | 5 | 34.42 | 6.84 |
| Logistic Regression | 5 | 20.19 | 4.01 |
| Neural Network | 5 | 34.62 | 6.88 |
| Decision Tree | 10 | 64.90 | 6.06 |
| Logistic Regression | 10 | 36.06 | 3.15 |
| Neural Network | 10 | 62.50 | 5.54 |
| Decision Tree | 15 | 73.96 | 1.82 |
| Logistic Regression | 15 | 49.04 | 2.62 |
| Neural Network | 15 | 82.21 | 3.97 |
| Decision Tree | 20 | 73.89 | 0.87 |
| Logistic Regression | 20 | 59.13 | 2.01 |
| Neural Network | 20 | 86.54 | 0.86 |
**Explanations:**
- **Cumulative Gain**: This represents the percentage improvement in capturing the positive event (churn) compared to a random model. Higher values indicate better model performance in identifying the churn cases effectively.
- **Cumulative Lift**: This is the ratio between the percentage of targets in a contacted subset versus a random selection. A higher lift indicates that the model is effective at concentrating](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fb17ad2d1-be30-4029-8274-1905b49f46b0%2Fd4a3fcc2-0473-4334-9818-c88720c018f4%2Fwaa5hpk_processed.png&w=3840&q=75)
Transcribed Image Text:### Text and Table Information for an Educational Website
**Scenario:**
There are 3,600 cases in the validation dataset. In this dataset, 12% of the cases have a value of 1 for churn, which is considered the primary or positive event. The following information is derived from analyzing these 3,600 cases using different models.
**Table Explained:**
The table below presents the performance metrics of three types of models: Decision Tree, Logistic Regression, and Neural Network, at different depths of contact. The 'Depth (% Contacted)' column indicates the percentage of cases contacted or considered, and performance is evaluated in terms of 'Cumulative Gain' and 'Cumulative Lift'.
| Model | Depth (% Contacted) | Cumulative Gain | Cumulative Lift |
|---------------------|----------------------|-----------------|-----------------|
| Decision Tree | 5 | 34.42 | 6.84 |
| Logistic Regression | 5 | 20.19 | 4.01 |
| Neural Network | 5 | 34.62 | 6.88 |
| Decision Tree | 10 | 64.90 | 6.06 |
| Logistic Regression | 10 | 36.06 | 3.15 |
| Neural Network | 10 | 62.50 | 5.54 |
| Decision Tree | 15 | 73.96 | 1.82 |
| Logistic Regression | 15 | 49.04 | 2.62 |
| Neural Network | 15 | 82.21 | 3.97 |
| Decision Tree | 20 | 73.89 | 0.87 |
| Logistic Regression | 20 | 59.13 | 2.01 |
| Neural Network | 20 | 86.54 | 0.86 |
**Explanations:**
- **Cumulative Gain**: This represents the percentage improvement in capturing the positive event (churn) compared to a random model. Higher values indicate better model performance in identifying the churn cases effectively.
- **Cumulative Lift**: This is the ratio between the percentage of targets in a contacted subset versus a random selection. A higher lift indicates that the model is effective at concentrating
Expert Solution
![](/static/compass_v2/shared-icons/check-mark.png)
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
Trending now
This is a popular solution!
Step by step
Solved in 2 steps
![Blurred answer](/static/compass_v2/solution-images/blurred-answer.jpg)
Recommended textbooks for you
![MATLAB: An Introduction with Applications](https://www.bartleby.com/isbn_cover_images/9781119256830/9781119256830_smallCoverImage.gif)
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
![Probability and Statistics for Engineering and th…](https://www.bartleby.com/isbn_cover_images/9781305251809/9781305251809_smallCoverImage.gif)
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
![Statistics for The Behavioral Sciences (MindTap C…](https://www.bartleby.com/isbn_cover_images/9781305504912/9781305504912_smallCoverImage.gif)
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
![MATLAB: An Introduction with Applications](https://www.bartleby.com/isbn_cover_images/9781119256830/9781119256830_smallCoverImage.gif)
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
![Probability and Statistics for Engineering and th…](https://www.bartleby.com/isbn_cover_images/9781305251809/9781305251809_smallCoverImage.gif)
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
![Statistics for The Behavioral Sciences (MindTap C…](https://www.bartleby.com/isbn_cover_images/9781305504912/9781305504912_smallCoverImage.gif)
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
![Elementary Statistics: Picturing the World (7th E…](https://www.bartleby.com/isbn_cover_images/9780134683416/9780134683416_smallCoverImage.gif)
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
![The Basic Practice of Statistics](https://www.bartleby.com/isbn_cover_images/9781319042578/9781319042578_smallCoverImage.gif)
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
![Introduction to the Practice of Statistics](https://www.bartleby.com/isbn_cover_images/9781319013387/9781319013387_smallCoverImage.gif)
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman