The Altair Community is migrating to a new platform to provide a better experience for you. In preparation for the migration, the Altair Community is on read-only mode from October 28 - November 6, 2024. Technical support via cases will continue to work as is. For any urgent requests from Students/Faculty members, please submit the form linked here
multi-objective feature selection by mrmr performance number_features?


hi
I'm looking for select feature set that Most relevance with the label and minimum redundancy with each other and also Have the minimum number of attributes and best perormance metrics(F-measure,accuracy and AUC); how can i do this with multi-objective feature selection?(mrmr performance operator + performance (attribute count) operator + cross validation operator)
Tagged:
0