Evaluation of Sampling and Cross-Validation Tuning Strategies for Regional-Scale Machine Learning Classification.
Christopher A. RamezanTimothy A. WarnerAaron E. MaxwellPublished in: Remote. Sens. (2019)
Keyphrases
- cross validation
- model selection
- machine learning
- support vector
- cross validated
- hyperparameters
- unseen data
- sample size
- roc analysis
- regression problems
- training set
- variable selection
- regularization parameter
- generalization error
- nearest neighbor classifiers
- machine learning methods
- information criterion
- supervised learning
- text classification
- leave one out cross validation
- binary classifiers
- data mining
- svm classification
- gaussian process
- random sampling
- feature vectors
- data sets
- error estimates
- learning tasks
- machine learning algorithms
- least squares
- multi class
- support vector machine
- training data