Exploring the Hyperparameters of XGBoost Through 3D Visualizations.
Ole-Edvard ØrebækMarius GeitlePublished in: AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (2021)
Keyphrases
- hyperparameters
- model selection
- cross validation
- bayesian inference
- closed form
- bayesian framework
- random sampling
- support vector
- prior information
- em algorithm
- gaussian processes
- noise level
- gaussian process
- maximum likelihood
- incremental learning
- maximum a posteriori
- sample size
- regularization parameter
- incomplete data
- grid search
- parameter space
- missing values
- prior knowledge
- parameter settings
- sliding window
- error rate
- super resolution
- higher order