Using JMP® to Predict the Adoption of Animals at Austin Animal Center g Hind Manou & Imran Selim MBA Students, Analytics Concentration, Oklahoma State.

Slides:



Advertisements
Similar presentations
Orange County Animal Services November 5, 2013 George Ralls MD Director, Health Services.
Advertisements

Modeling Uncertainty Farrokh Alemi, Ph.D. Saturday, February 21, 2004.
Warm Up Match each definition of one of the following words.
8-2 Data Gathering Warm Up Lesson Presentation Lesson Quiz
Autumn White TWR 2009 TOP 3 REASONS THE VIDEO GAME INDUSTRY NEEDS TO PAY MORE ATTENTION TO WOMEN.
Stat 112 Notes 9 Addendum. Interpreting Multiple Regression Coefficients: Another Example A marketing firm studied the demand for a new type of personal.
AUDIT PROCEDURES. Commonly used Audit Procedures Analytical Procedures Analytical Procedures Basic Audit Approaches - Basic Audit Approaches - System.
Categorical Data Prof. Andy Field.
DATA MINING Team #1 Kristen Durst Mark Gillespie Banan Mandura University of DaytonMBA APR 09.
Animal Science II- Small Animal Unit A- The Small Animal Care Industry.
Animal Abuse Statistics  Of 1880 animal cruelty cases reported in 2007  64.5% involved dogs  18% involved cats  25% involved other animals.
Community Service Project Lowndes County Animal Welfare April 4, 2006 April 11,2006.
By: Chelsey Sehr.  Best Friends Animal Society is guided by a simple philosophy: kindness to animals builds a better world for all of us.  Best Friends'
Animal Abuse I Need Love3:31Daylight For DeadeyesNew York Alternative By Katie Franzen.
Okanogan Regional Spay & Neuter Project Okanogan County Animal Foster Care - AFC.
“Let’s get some Animals Adopted!” Service Learning Project Spring 2010 Kari Fransen and Robyn Gangl.
Business Intelligence and Decision Modeling Week 11 Predictive Modeling (2) Logistic Regression.
Loan Default Model Saed Sayad 1www.ismartsoft.com.
How can random samples be used to make inferences about a population?
Logistic Regression. Linear regression – numerical response Logistic regression – binary categorical response eg. has the disease, or unaffected by the.
Hunter-gatherer theory of spatial sex differences
Matched Case-Control Study Duanping Liao, MD, Ph.D Phone:
Kerli Ilves G3IK ANIMAL SHELTERS.  Animal shelters provide care and treatment to animals needing protection, attempt to find homes for homeless animals.
Holt McDougal Algebra Data Gathering 8-2 Data Gathering Holt Algebra 2 Warm Up Warm Up Lesson Presentation Lesson Presentation Lesson Quiz Lesson.
SECTION 1 TEST OF A SINGLE PROPORTION
8-2 Data Gathering Warm Up Lesson Presentation Lesson Quiz
MYTHS AND TRUTHS ABOUT SPAY AND NEUTER
or items of information; these will be numbers in context
Save The Animal Foundation
Predictors of study retention in drug abuse treatment trials
PREDICTING Flight Delays
Huyen Nguyen, Dung Phan, and Girish Shirodkar
Group 7 Hospital Readmission Predictive Analytics
Data Gathering Warm Up Lesson Presentation Lesson Quiz
Customer Segmentation Based on RFM and Predicting Defaulters
Matched Case-Control Study
Conclusions and areas for further analysis
Animal Ordinances & Annual Fee Updates
David L. Olson Department of Management University of Nebraska
USE OF DATA ANALYTICS TO PREDICT THE DEMAND OF BIKES
Predicting the Market Value of the Property Using JMP® Pro 11
Feral Cats in Fort Worth A Public Policy Challenge
Bhavya Pilli Dolly tripathy Ryne Andrews Deepika Deewangan
Fundraising Analytics to identify potential prospects using SAS 12.1
Animal Shelter Adoption
Avonview Kennel Questionnaire
Prediction as Data Mining Task
Introduction to Data Mining and Classification
Social Media Strategy Template
Avonview Kennel Questionnaire
What is the answer?.
Helping Sheltrs Help Cats and Dogs
AS15 - PowerPoint - Citizens Academy Presentation v1
Important Reasons to Spay or Neuter your Pet:
Animal Overpopulation
2016 Spay/Neuter Legislation
Teaching Analytics with Case Studies: Finding Love in a Classification Tree Ruth Hummel, PhD JMP Academic Ambassador.
Should They Stay or Should They Go
Odds Ratio Interpretation Confounder  Diabetes
His Name Shall Be Revered …
Predicting Pneumonia & MRSA in Hospital Patients
Categorical Data Analysis Review for Final
Child’s Play IBISWorld estimates 2017 daycare industry revenues were $48.9 billion, and will increase 1.9% annually to reach $52.5 billion by Private.
By Winnie Lovell Animal Adoption By Winnie Lovell
Thank you for you support!
8-2 Data Gathering Warm Up Lesson Presentation Lesson Quiz
Data Gathering Warm Up Lesson Presentation Lesson Quiz
1. What animal 2. Male or Female ? 4. Male or Female? Why? Why?
Arely M. Hurtado1,2, Phillip D. Akutsu2, & Deanna L. Stammer1
Presentation transcript:

Using JMP® to Predict the Adoption of Animals at Austin Animal Center g Hind Manou & Imran Selim MBA Students, Analytics Concentration, Oklahoma State University Every year, approximately 7.6 million companion animals end up in US shelters. Many animals are given up as unwanted by their owners, while others are picked up after getting lost or taken out of cruelty situations. We have gathered data from Austin Animal Center and analyzed the data to interpret how animal shelters can modify their strategy and effort to increase animal adoption rate. We did a follow up analysis to determine the factors that contribute to the return of an animal to its owner. ABSTRACT METHODS RESULTS CONCLUSION

Data Selection & Preparation - 26,729 observations - 8 input variables and 4 variables created - 1 target variable - Variables selection using Forward Variable Selection Day, Time TransformedAge Sex_1, Sex_2 AnimalType BreedOutcome ABSTRACT METHODS RESULTS CONCLUSION

Data Analysis Neural Network Logistic Regression Decision tree The sex and Neural Network -Misclassification rate is 23.58% -People prefer to adopting neutered animal -In the neutered group: the younger tends to be adopted more, especially if it is a cat. Logistic Regression Decision tree - Validation Misclassification rate is 23.41% -Whether the animal is neutered or spayed is the most decisive variable -Likelihood of adoption decreases as the age increases -The odds of being adopted for a cat is 1.23 times more than that of a dog -Misclassification rate is 23.22% -If the animal is neutered and it is young it is most likely to be adopted -People tend to adopt more after 6:00 pm ABSTRACT METHODS RESULTS CONCLUSION

Decision Tree is the best model Model Comparison Decision Tree is the best model The most important variables are: type of surgery, age, time of adoption and Animal Type. ABSTRACT METHODS RESULTS CONCLUSION

Additional Analysis: Return to Owner - The odds of being adopted is 4.32 times more for dog than that of cat. - Older animals are more likely to be returned to the owner - After 12:00 pm the chances of return to owner increases. ABSTRACT METHODS RESULTS CONCLUSION

Recommendations - Consider increasing number of employees in the afternoon and the evening to assist people that want to adopt or reclaim an animal. - Increase the chance of adoption for both male and female animals by performing neutering and spaying surgeries. - Cats have a higher chance to be adopted and dogs have a higher chance to be returned to the owners. - Include the age factor in the marketing plan: Younger animals are more likely to be adopted Older animals are more likely to be returned to owners ABSTRACT METHODS RESULTS CONCLUSION

Name Email Phone LinkedIn Team Members Name Email Phone LinkedIn Hind Manou hmanou@okstate.edu (405)-564-2139 https://www.linkedin.com/in/ hind-manou-78040086/ Imran Selim Imran.selim@okstate.edu (405)-385-3352 https://www.linkedin.com/in/i mran-selim-78210967/ Hind Manou Imran Selim