Feature importance in machine learning models: A fuzzy information fusion approach.
Divish RengasamyJimiama Mafeni MaseAayush KumarBenjamin RothwellMercedes Torres TorresMorgan R. AlexanderDavid A. WinklerGrazziela P. FigueredoPublished in: Neurocomputing (2022)
Keyphrases
- information fusion
- machine learning models
- feature importance
- soft computing
- spam filtering
- machine learning algorithms
- random forest
- data fusion
- machine learning approaches
- fuzzy sets
- fuzzy logic
- dempster shafer evidence theory
- predictive model
- membership functions
- machine learning
- fuzzy rules
- computational intelligence
- semi supervised
- fuzzy clustering
- learning models
- relevance feedback
- evolutionary computation
- fuzzy membership functions
- fuzzy inference
- rough sets
- decision trees
- feature selection