Impact of the learners diversity on the generation of heterogeneous ensembles

This website contains additional material to the paper:

Impact of the learners diversity and combination method on the generation of heterogeneous classifier ensembles. M. P. Sesmero, J. A. Iglesias, E. Magan, A. Ledezma and A. Sanchis.

• Table Experimental Results – Accuracy rate of the five different base learners used in this work and the rate of the different ensembles generated using a different diversity measure and a different combination method.
• Table Experimental Results – Noise 10%
• Table Experimental Results – Noise 20%
• Table Experimental Results – Noise 30%