Research Article

MOFSRank: A Multiobjective Evolutionary Algorithm for Feature Selection in Learning to Rank

Table 4

The number of selected features between MOFSRank and feature selection baselines for ranking on LETOR data sets, averaged on five-folds.

ā€‰NP2004 HP2004 TD2004 MQ2008 OHSUMED

FenchelRank 18.60 12.00 32.40 15.80 13.00
FSMRANK 32.00 13.80 28.20 13.20 18.00
ā€‰ 14.60 7.00 17.20 2.40 9.60
MOFSRank5.725.125.88 4.805.40