c1ickz/anormaly-detection_methods_comparison

Comparison-of-different-classifiers-for-anormaly-detection

1. Link to dataset: https://www.kaggle.com/francoisxa/ds2ostraffictraces (Thanks FrancoisXA) and download file "MainSimulationAccessTraces.csv"

2. Create a diretory and name it "dataset"

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1). dataDetail.py: learn details of dataset (optional)

2). preprocessing_unbalanced.py and preprocessing_balanced.py: prepare data for training and testing, including noise removing and categorical features encoding.

3). binary_unbalanced.py and binary_balanced.py: binary classification on unbalanced and balanced dataset

4). multiclass_unbalanced.py and multiclass_balanced.py: multiclass classification

5). meta_binary_unbalanced.py and meta_binary_balanced.py: meta classifier using majority voting

6). meta_multiclass_unbalanced.py and meta_multiclass_balanced.py: meta classifier using majority voting

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