Soil Classification Based on Physical and Chemical Properties Using Random Forests.
Didier DiasBruno MartinsJoão Moura PiresLuís Moreira de SousaJacinto EstimaCarlos Viegas DamásioPublished in: EPIA (1) (2019)
Keyphrases
- random forests
- decision trees
- machine learning algorithms
- tree ensembles
- regression forests
- random forest
- accurate classifiers
- ensemble methods
- pattern recognition
- regression problems
- classification and regression trees
- logistic regression
- randomized trees
- classification accuracy
- image classification
- support vector
- supervised learning
- support vector machine svm
- regression trees
- decision tree ensembles
- feature extraction
- machine learning methods
- classification algorithm
- training samples
- information extraction
- feature vectors
- feature space
- training data
- feature selection
- data mining
- data sets