Feature Selection for Imbalanced Data with Deep Sparse Autoencoders Ensemble

no code implementations • 22 Mar 2021 • Michela C. Massi, Francesca Ieva, Francesca Gasperoni, Anna Maria Paganoni

To achieve FS advantages in this setting, we propose a filtering FS algorithm ranking feature importance on the basis of the Reconstruction Error of a Deep Sparse AutoEncoders Ensemble (DSAEE).

Feature Importance feature selection