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Kaggle: Expedia Hotel Recommendations

Competition Link: https://www.kaggle.com/c/expedia-hotel-recommendations

Model Description

For detailed description please visit https://mandalsubhajit.wordpress.com/2016/05/26/kaggle-expedia-hotel-recommendations/ Model Flow Chart

System Specifications:

  • Windows 10
  • 4 cores
  • 8 GB RAM
  • Python 3
  • 10 GB Free Disk Space where the files would be saved

Code Details:

  • 0_leakage.py : Leakge Solution
  • 1_random_forest.py : Random Forest
  • 2_xgboost.py : XGBoost
  • 3_sgd_classifier.py : SGDClassifier
  • 4_naive_bayes.py : Naive Bayes
  • blend_models.py : Blending models 1-4 using weighted average of predicted probabilities
  • combine_results.py : Stack output from blending over the leakage solution
  • run_loop.cmd : batch file to run codes in loop, e.g. run_loop 1_random_forest.py 10. This will run the code 10 times.

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Expedia Hotel Recommendations Model

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  • Python 99.5%
  • Batchfile 0.5%