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Prediction of x_e_out [-] on Heat Flux Dataset where ~15% of 7 out of 8 features have been nulled (lost) required careful data preparation including imputation of missing data points.

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FeatureImputationHeatFluxDataset

Prediction of x_e_out [-] on Heat Flux Dataset where ~15% of 7 out of 8 features have been nulled (lost) required careful data preparation including imputation of missing data points.

Prediction of x_e_out [-] are made based on the following features:

  • Author
  • Geometry
  • pressure [MPa]
  • mass_flux [kg/m2-s]
  • D_e [mm]
  • D_h [mm]
  • length [mm]
  • chf_exp [MW/m2]

Kaggle Competition: https://www.kaggle.com/competitions/playground-series-s3e15
Kaggle Notebook: https://www.kaggle.com/mnokno/ps3e15-eda-fancyimpute-imputation

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Prediction of x_e_out [-] on Heat Flux Dataset where ~15% of 7 out of 8 features have been nulled (lost) required careful data preparation including imputation of missing data points.

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