The evaluation section describes how submissions will be scored and how participants should format their submissions. You don't need a sub-title at the top; the page title appears above. Below is an example of a typical evaluation page.

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Submissions are evaluated on [area under the ROC curve](http://en.wikipedia.org/wiki/Receiver_operating_characteristic) between the predicted probability and the observed target.

Welcome to DataSprint 2025, a fast-paced ML hackathon designed exclusively for first-year students of Manipal!
Hosted by IECSE Manipal, this 3-hour online Kaggle competition introduces you to the world of data preprocessing, environmental analytics, and satellite data science.
Your mission?
Classify regions as water or non-water using NDVI (Normalized Difference Vegetation Index) time-series data derived from real satellite captures. 🌍

## Submission File
For each ID in the test set, you must predict a probability for the TARGET variable. The file should contain a header and have the following format:

    ID,TARGET
    2,0
    5,0
    6,0
    etc.