Regularized linear and gradient boosted ensemble methods to predict athletes' gender based on a survey of masters athletes.
Joe WalshIan HeazlewoodMike ClimsteinPublished in: Model. Assist. Stat. Appl. (2019)
Keyphrases
- ensemble methods
- random forests
- prediction accuracy
- decision trees
- machine learning methods
- ensemble learning
- benchmark datasets
- random forest
- college students
- drifting concepts
- base classifiers
- generalization ability
- bootstrap sampling
- majority voting
- trade off
- logistic regression
- ensemble feature selection
- machine learning algorithms
- evolutionary algorithm
- face recognition
- learning algorithm
- neural network