2019_siop_machine_learning_winners
Science Score: 44.0%
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✓CITATION.cff file
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○Scientific vocabulary similarity
Low similarity (5.4%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: izk8
- Language: Jupyter Notebook
- Default Branch: master
- Size: 4.44 MB
Statistics
- Stars: 11
- Watchers: 2
- Forks: 8
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Data and Code for the 2019 SIOP Machine Learning Competition
Overview
Objective
- Predict self-report personality traits from open-ended text of 5 SJIs.
Data
- Data was especially created and collected for this compeition.
- Predictors. Predictors are text responses to five open-ended situational judgment items (SJIs) designed to elicit trait-relevant behaviors. Exact question text in the (full_data readme)
- Critera. The criteria are aggregate trait scores on a Big Five personality inventory (link to items?)
- Data splits. During the competition there were three splits: training set (n = 1088), dev set (n = 300), and testing set (n = 300).
Winners
First Place: Natural Selection ##
Josh Allen @ Walmart
Matthew Arsenault @ Walmart
Blaize Berry @ Walmart
David Futrell @ Capital One
Private Test Set Average Correlation = .26021
Second Place: Team Procrustination ##
Feng Guo @ BGSU
Nick Howald @ BGSU
Marie Childers @ BGSU
Jordan Dovel @ BGSU
Sami Nesnidol @ BGSU
Andrew Samo @ BGSU
Sam T. McAbee @ BGSU
Private Test Set Average Correlation =.24784
Third Place: Logistic Aggression
Ross Walker @ Michigain State University
Jacob Bradburn @ Michigain State University
Jeff Olenick @ Michigain State University
Private Test Set Average Correlation =.23252
Fourth Place: PI-RATES ##
Wes Barlow @ USAA
Fred Shumate @ USAA
Fabian Castro @ USAA
Frank DeVilbis @ USAA
Private Test Set Average Correlation =.2293
Organizers
Isaac Thompson @ Modern Hire
Nick Koenig @ Modern Hire
Mengqiao (MQ) Liu @ Amazon
How to Cite Data
Thompson, I., Koenig, N., & Lui, M. The 2019 SIOP Machine Learning Competition. Presented at the 34th annual Society for Industrial and Organizational Psychology conference in Austin, TX.
Owner
- Name: Isaac Thompson
- Login: izk8
- Kind: user
- Location: USA
- Company: Amazon
- Repositories: 6
- Profile: https://github.com/izk8
Data Scientist, Researcher, & Industrial-Organizational Psychologist.
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you use this work, please cite it as below."
title: "The 2019 SIOP Machine Learning Competition"
type: "machine-learning-competition"
conference:
name: "34th annual Society for Industrial and Organizational Psychology conference"
location: "Austin, TX"
year: 2019
repository-code: "https://github.com/izk8/2019_SIOP_Machine_Learning_Winners"
abstract: "This repository contains the winning solution from the 2019 SIOP Machine Learning Competition, focusing on personality prediction using AI and deep learning techniques. The project includes methodology, feature engineering approaches, model development, and results analysis."
keywords:
- machine learning
- personality prediction
- deep learning
- Artificial Intelligence
- Society for Industrial and Organizational Psychology
date-released: "2019"
url: "https://github.com/izk8/2019_SIOP_Machine_Learning_Winners"
preferred-citation:
type: "conference-presentation"
authors:
- family-names: "Thompson"
given-names: "Isaac"
- family-names: "Koenig"
given-names: "Nick"
- family-names: "Lui"
given-names: "Mengqiao"
title: "The 2019 SIOP Machine Learning Competition"
conference:
name: "34th annual Society for Industrial and Organizational Psychology conference"
location: "Austin, TX"
date: "2019"
notes: "Presented at SIOP 2019"
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- Push event: 2