Impact of Parameter Tuning on Machine Learning Based Breast Cancer Classification.
Ali IdriMohamed HosniIbtissam AbnaneJuan Manuel Carrillo-de-GeaJosé Luis Fernández AlemánPublished in: WorldCIST (3) (2019)
Keyphrases
- parameter tuning
- cancer classification
- machine learning
- gene selection
- microarray
- ink bleed
- feature selection
- random forest
- cancer diagnosis
- gene expression data
- microarray data
- gene expression profiling
- gene expression profiles
- pattern recognition
- parameter settings
- model selection
- decision trees
- data mining
- machine learning methods
- gene expression
- machine learning algorithms
- learning algorithm
- support vector machine
- evolutionary algorithm
- multi label
- chi square
- supervised learning