feature-selection

Feature Relevance Analysis Tool

Python tool to discover relevant features in machine learning problems.

FRI - Feature Relevance Intervals for Interpretable and Interactive Data Exploration

Most existing feature selection methods are insufficient for analytic purposes as soon as high dimensional data or redundant sensor signals are dealt with since features can be selected due to spurious effects or correlations rather than causal …

Interpretation of Linear Classifiers by Means of Feature Relevance Bounds

Research on feature relevance and feature selection problems goes back several decades, but the importance of these areas continues to grow as more and more data becomes available, and machine learning methods are used to gain insight and interpret, …

Interpretation of Linear Classifiers by Means of Feature Relevance Bounds

Research on feature relevance and feature selection problems goes back several decades, but the importance of these areas continues to grow as more and more data becomes available, and machine learning methods are used to gain insight and interpret, …