DataDash 2021 (Model Development Round) by FischerJordan

• Submissions are evaluated using Root Mean Square Error (RMSE) metric.

How do we do it? 

• We give participants two sets of data:

  • Training Dataset: It contains both independent and dependent variables. Anyone can download it, build a model and make a submission.

  • Testing Dataset: It contains only independent variables (the dependent variables are hidden). You submit the prediction values of the dependent variables for this dataset and we compare it against the actual values. 

  • We are using partial evaluation for the challenge. The public leaderboard is calculated during the competition and evaluates only 60% of the test dataset, whereas the private leaderboard will be calculated based on the remaining 40% dataset. Hence, you might see some variation in ranks during and after the Datathon.