Ended on 10th Aug'20 03:30 PM (Coordinated Universal Time)
Data Sprint #1 - Census Income
Predict Income Level
308
Medium
Challenge Starts
07 Aug 03:30 pm
Registration Ends
10 Aug 03:30 pm
Challenge Ends
10 Aug 03:30 pm
Context
What is Census?
The United Nations defines a population census as the total process of collecting, compiling, and publishing demographic, economic, and social data pertaining to a specific time to all persons in a country or delimited part of a country
There are many variables to consider when doing a population census. This dataset contains the grouped and collected census data from the 1994 and 1995 population surveys conducted by the US Census Bureau.
Objective
Your task is to build machine learning models to predict the income level (target variable) of the related collaborators in the evaluation set, being 0 a collaborator who has an income less than 50,000 USD annually, and 1 a collaborator who has an income equal to or greater than 50,000 USD annually.
Evaluation Criteria
Submissions are evaluated using
F1 Score
. How do we do it?
Once you generate and submit the target variable predictions on evaluation dataset, your submissions will be compared with the true values of the target variable.
The True or Actual values of the target variable are hidden on the DPhi platform so that we can evaluate your model's performance on unseen data. Finally, an F1 score for your model will be generated and displayed.
Timeline
Start Date:
7th August 2020, 21:00 hours IST / 17:30 hours CET
End Date: 10th August 2020, 21:00 hours IST / 17:30 hours CET (
please locate your time
here
)
