prohack-hackathon

a competition on prediction of the well being if space beings(or aliens:) ) and optimal energy allocation. A blend of regression and linear programming in operations research.

Notes:

• To understand what makes us better off:

  • Our elders used the composite index to measure our well-being performance, but this knowledge has disappeared in the sands of time.

  • Use our data and train your model to predict this index with the highest possible level of certainty.

• To achieve the highest possible level of well-being through optimized allocation of additional energy, We have discovered the star of an unusually high energy of 50000 zillion DSML. We have agreed between ourselves that:

  • no one galaxy will consume more than 100 zillion DSML

  • at least 10% of the total energy will be consumed by galaxies in need with existence expectancy index below 0,7.

Think of our galaxies as your “countries” (or how you call them??) and our population as citizens. We have similar healthcare and wellbeing characteristic as you, Hooomans”

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Data Description:

The solutions are evaluated on two criteria: predicted future Index values and allocated energy from the newly discovered star

1. Index predictions are evaluated using RMSE metric

2. Energy allocation is also evaluated using RMSE metric and has a set of known factors that need to be taken into account.

• Every galaxy has a certain limited potential for improvement in the index described by the following function:

  • Potential for increase in the Index = -np.log(Index+0.01)+3

• Likely index increase dependent on potential for improvement and on extra energy availability is described by the following function:

  • Likely increase in the Index = extra energy * Potential for increase in the Index **2 / 1000

• There are also several constraints:

  • in total there are 50000 zillion DSML available for allocation and no galaxy at a point in time should be allocated more than 100 zillion DSML or less than 0 zillion DSML. Galaxies with low existence expectancy index below 0.7 should be allocated at least 10% of the total energy available in the foreseeable future