Unveiling the Power of ARIMA, Support Vector and Random Forest Regressors for the Future of the Dutch Employment Market.
Piotr GajewskiBoris CuleNevena RankovicPublished in: J. Theor. Appl. Electron. Commer. Res. (2023)
Keyphrases
- random forest
- support vector
- random forests
- decision trees
- feature set
- short term
- long term
- ensemble methods
- fold cross validation
- feature importance
- electricity markets
- logistic regression
- feature ranking
- generalization ability
- ensemble learning
- classification accuracy
- rotation forest
- kernel function
- loss function
- feature selection
- multi label
- base learners
- base classifiers
- feature extraction
- high dimensional
- active learning
- linear discriminant analysis
- svm classifier
- machine learning algorithms
- artificial neural networks
- decision tree learning algorithms