# Global Dengue Outbreak Prediction Challenge

## Description

Welcome to the **Global Dengue Outbreak Prediction Challenge**. In this competition, you are invited to create innovative machine learning models that can predict dengue fever outbreaks. Your models will assist public health authorities in making informed decisions for better planning and resource allocation to prevent the spread of this disease.

## Objective

- **Predict dengue fever outbreaks**: Use environmental and population data to forecast the occurrence of dengue in multiple regions.
- **Support public health efforts**: Provide actionable insights that can be used to mitigate the impact of dengue fever.

## Fields in the Dataset

- `Name`: The name of the individual (String).
- `Fever`: Presence of fever (1 for yes, 0 for no).
- `Headache`: Presence of headache (1 for yes, 0 for no).
- `JointPain`: Presence of joint pain (1 for yes, 0 for no).
- `Bleeding`: Presence of bleeding (1 for yes, 0 for no).
- `Dengue`: Diagnosis of dengue (1 for positive, 0 for negative).

## Evaluation

- The primary metric for this competition will be the **Mean Absolute Error (MAE)** between the predicted number of cases and the actual recorded data.
- Detailed evaluation criteria will be provided on the competition's webpage.

## Prizes

- Prizes for the top competitors will be announced subject to Kaggle's competition prize guidelines and approval.

## Terms and Conditions

- By participating in this competition, you agree to Kaggle's terms and conditions.
- Please ensure that any cash prizes comply with Kaggle's policies and have received prior approval.