Data was sourced from Kaggle.com. After studying the data, we started by cleaning the data and preparing it for analysis. We used two prediction methods to reach out final solution; Logit Regression and Multinomial Logit Regression.
Based on our analysis, we found three factors that were important for cats/dogs in shelters to increase the probabilities of them getting adopted or fostered. They are (1) whether or not the pet is neutered/spayed, (2) the type of breed – whether they may be considered aggressive or not, and (3) the age of pet.