Investigating Accuracy and Diversity in Heterogeneous Ensembles for Breast Cancer Classification.
Bouchra El OuassifAli IdriMohamed HosniPublished in: ICCSA (2) (2021)
Keyphrases
- cancer classification
- ensemble members
- microarray
- random forest
- gene selection
- gene expression profiles
- ensemble methods
- cancer diagnosis
- microarray data
- prediction accuracy
- gene expression data
- recently developed
- correlation coefficient
- gene expression profiling
- learning algorithm
- classification accuracy
- training data
- decision trees