Performance evaluation of Random Forest regression model in tracking Parkinson's disease progress.
Tomas PeterekPavel DohnálekPetr GajdosMaros SmondrkPublished in: HIS (2013)
Keyphrases
- regression model
- random forest
- random forests
- decision trees
- feature set
- regression methods
- linear regression model
- particle filter
- ensemble methods
- regression analysis
- prediction model
- fold cross validation
- interval valued data
- generalized linear models
- data mining
- explanatory variables
- response variable
- multivariate regression
- multi label
- ensemble learning
- multiple linear regression
- data sets
- decision tree learning algorithms
- model selection
- support vector
- feature selection
- base classifiers
- logistic regression
- computer vision
- learning algorithm