vicious ntwk conn recog, kdd cup yr 99, ml course final proj
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README.md

kdd99 vicious ntwk conn recog, kdd cup yr 99, ml course final proj

task description: http://kdd.ics.uci.edu/databases/kddcup99/task.html

data: http://kdd.ics.uci.edu/databases/kddcup99/kddcup99.html

competition results: http://cseweb.ucsd.edu/~elkan/clresults.html

  1. EDA (Exploratory Data Analysis)
  2. Feature Engineering
  • Sparse feature merging and one hot encoding
  • Map specific classes into the five major classes
  • Feature selection (use RF feature importance)
  1. Scoring
  • Scoring using the weight matrix
  1. Model Training
  • Random Forrest Classifier
  • Ada Boost Classifier
  • Extra Trees Classifier
  1. Ensemble
  • soft-voting
  • stacking

Our Best Results:
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Winning Entry in 1999:
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