Casting light on forcing and breaching scenarios that lead to marine inundation: Combining numerical simulations with a random-forest classification approach.
Jérémy RohmerDéborah IdierFrançois ParisRodrigo PedrerosJessie LouisorPublished in: Environ. Model. Softw. (2018)
Keyphrases
- numerical simulations
- random forest
- decision trees
- feature set
- fold cross validation
- random forests
- theoretical analysis
- cancer classification
- classification accuracy
- decision tree learning algorithms
- ensemble classifier
- feature importance
- classification models
- feature selection
- multi label
- class labels
- classification algorithm
- machine learning
- feature extraction
- support vector machine svm
- supervised learning
- ensemble methods
- support vector
- feature space
- feature vectors
- ensemble learning
- support vector machine
- image classification
- machine learning methods
- benchmark datasets
- test data
- training set
- training samples
- svm classifier
- logistic regression
- data sets