Document Type
Article
Source Publication Title
UTA Datathon 2024 Challenge Submission
Abstract
OUTLIERS Team submission to the Urinalysis Test Results Timed Challenge
Researched various algorithms like boosting and random forest. We learned a lot about their strength and weaknesses, and used these algorithms accordingly to solve the issues faced in the dataset.
Disciplines
Data Science
Publication Date
4-13-2024
Language
English
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Mhatre, Nikhil, "Urinalysis Test Data Analysis and Prediction" (2024). 2024 Datathon Challenges. 1.
https://mavmatrix.uta.edu/utadatathon_2024/1