DrivenData: Predicting H1N1 and Seasonal Flu Vaccinations

Introduction

The "Flu Shot Learning: Predict H1N1 and Seasonal Flu Vaccines" competition, hosted by DrivenData, focuses on predicting an individual's likelihood of receiving the H1N1 and seasonal flu vaccines. The data, collected from a national survey in the United States, includes information on socioeconomic background, demographics, perceptions of vaccine risk and efficacy, and preventative behaviors. The goal is to better understand the relationship between these characteristics and vaccination patterns, providing insights for future public health efforts.

This is a hands-on competition designed for everyone, offering a great opportunity to get acquainted with data science and competitive challenges.

Who Should Participate

• Individuals aged 18 and older.
• No nationality or experience restrictions.

Benefits

• Opportunity to practice and improve data science skills.
• Exposure to public health issues.
• Potential for recognition and prizes (depending on specific competition rules).

Requirements

• Adhere to DrivenData's rules: one account per user, no sharing of code or private data.
• Winning solutions must be provided as open-source code under the MIT License.
• Documentation is required for winning solutions.
• No external data may be used.

How to Participate

1. Click the "Join the competition" button to register.

2. Learn about the problem on the Problem Description and Introduction pages.

3. Download the data from the Data tab.

4. Build and train your model.

5. Use your model to generate predictions in the submission format.

6. Share your approach (optional).

Important Dates

• This competition is for learning and exploration; deadlines may be extended in the future.