Evaluation of Recursive Feature Elimination and LASSO Regularization-based optimized feature selection approaches for cervical cancer prediction.
Mohamed HamadaJesse Jeremiah TanimuMohammed HassanHabeebah Adamu KakudiPatience RobertPublished in: MCSoC (2021)
Keyphrases
- feature selection
- recursive feature elimination
- svm rfe
- feature selection algorithms
- cervical cancer
- dimensionality reduction
- model selection
- prediction accuracy
- feature set
- classification accuracy
- feature extraction
- machine learning
- x ray
- data sets
- text categorization
- machine learning algorithms
- classification models
- terms of classification accuracy
- support vector