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My best submission (26/5000) to Dare in reality Hackathon sponsored by Envision Racing hosted on MachineHack

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Dare-in-reality_26th-place-solution

My best predictions to Dare in reality Hackathon is liner_svr_finetuned

A few key points are:

  • The Envision racing company needs us to predict the Laptimes of FormulaE race cars.
  • The metric of evaluation is Root mean squared Error (rmse).
  • This is a regression task and I used algorithms like support vector Machines and Random Forest regressors to make predictions.
  • Dropping few features from given data actually increased model accuracy.

For more details about competetion check here

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My best submission (26/5000) to Dare in reality Hackathon sponsored by Envision Racing hosted on MachineHack

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