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Solution for "Linking Writing Processes to Writing Quality" @Kaggle

Text Features

  • Pre-processed the extracted essay and deleted recurring tabs, spaces and newlines
  • Word, sentence and paraghraph based statistical aggregations
  • Punctuation statistics
  • Punctuation mistake statistics (dot without a space after, comma with a space before, newline without a punctuation etc.)

Event Log Features

  • Count and nunique features for events
  • Statistical aggregations for all numerical columns
  • Pause-time aggregations (for all text, pause between words, sentences and paragraphs, seperately.)
  • P and R burst time and key-press count features

Training

  • Used 10-Fold Stratified
  • Used CatBoost, LGBM and XGBoost
  • Hyperparameter-tuned all models with using Optuna
  • Tracked OOF
  • Ensembled final models using Optuna-OOF-tuned weights

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