Choosing important features of objects using the rough sets method. Implementation of LEM2 algorithm.
Data is collected from "Student alcohol consumption" Kaggle archive
usage: process.py [--input INPUT] [--column-idx COLUMN_IDX] [--decision-lambda DECISION_LAMBDA] [--bool]
optional arguments:
--input INPUT data table input (default: dataset/student-mat.csv)
--column-idx COLUMN_IDX
decision column index (default: -1)
--decision-lambda DECISION_LAMBDA
decision lambda(exprert opinion) (default: lambda df: df['G3'] > 10)
--bool whether decision column contains bool value, otherwise int (default: False)