File: dataQuality.ipynb Input: Datasets folder Output: metafeatures.xlsx Computes metafeatures of each dataset and writes the same to a file.
File: mlClassification.ipynb Input: Datasets folder Output: modelperformance.csv Applies various classifiers on all considered FS algorithms
File: patternAnalysis.ipynb Input: modelperformance.csv Output: rule.csv Ranks FS algorithms based on accuracy and time taken by feature selection algorithms to select features.