The Effect of the Characteristics of the Dataset on the Selection Stability

The amount of gathered data is increasing at unprecedented rates for machine learning applications such as natural language processing, computer vision, and bioinformatics. This increase implies a higher number of samples and features; thus, some ...

• Extensive and complete review on feature selection algorithms and evaluation.
• Comparison of different stability metrics.
• A new Python framework for implementing and benchmarking feature selection.
• Evaluation of several feature ...

In realm, feature selection is an effective means for handling high-dimensional data that becomes increasingly abundant. The stability of a feature selection algorithm is becoming crucial for determining the fitness of the algorithm. Below, we review ...

Feature selection technique is a knowledge discovery tool which provides an understanding of the problem through the analysis of the most relevant features. Feature selection aims at building better classifier by listing significant ...