adellegia/predicting-merger-decision-outcomes

Model using SVM

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adellegia commented

Model

  • Run grid search using Linear SVC
  • move all gridsearch to a new notebook
  • Select best parameters
  • Evaluate model
  • feature importance for phase2=0 and phase2=1
  • Run by section
  • save evaluation metrics, confusion matrix

Writeup

  • Check false positives and false negatives
  • Describe confusion matrix - nature of mergers, nace_code, year, article
  • Describe confusion matrix using n-gram importance
  • Writeup

Robustness

  • change random seed
  • change pre-process - lowercase, stopwords
  • Compare metrics

Labels

  1. Phase1 vs. Phase2
  2. Conditions vs. W/o conditions
  3. OPTIONAL: Competition vs. Anticompetitive (variation of conditions label added Art 8.3)