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MCS

Contents:

mcs.py -- implementation of a method
utils.py -- utils (function for calculating drift ground truth)

an_compare_all_accumulated.py -- plot cumulative classification quality
an_compare_all.py -- plot classification quality throughout stream processing
an_compare_tunning.py -- plot rand index and accuracy plots for hyperparameter selection experiment
an_compare_tunning2.py -- plot the selected concepts as a heatmap

exp_compare_all.py -- comparative experiment
exp_tunning.py -- experiment for hyperparameter selection (GNB as base)
exp_tunning_mlp.py -- experiment for hyperparameter selection (MLP as base)

tables.py -- computing statistical tests and creating table