A cross-validation scheme for machine learning algorithms in shotgun proteomics.
Viktor GranholmWilliam Stafford NobleLukas KällPublished in: BMC Bioinform. (2012)
Keyphrases
- machine learning algorithms
- cross validation
- model selection
- benchmark data sets
- machine learning
- learning algorithm
- decision trees
- hyperparameters
- predictive accuracy
- variable selection
- machine learning methods
- learning problems
- training set
- cross validated
- support vector
- generalization error
- meta learning
- learning tasks
- regularization parameter
- machine learning approaches
- random forests
- statistical learning
- error estimates
- machine learning models
- unseen data
- training and test data
- class labels
- multiclass classification
- information criterion
- logistic regression
- nearest neighbor classifiers
- high throughput