Publication | Closed Access
Using Stacking Approaches for Machine Learning Models
339
Citations
6
References
2018
Year
Unknown Venue
Forecasting MethodologyEngineeringMachine LearningMachine Learning ToolMachine Learning ModelsProbabilistic ForecastingData ScienceData MiningMultiple Classifier SystemStatisticsPrediction ModellingComputational Learning TheoryMachine Learning ModelPredictive AnalyticsKnowledge DiscoveryComputer ScienceForecastingTime Series ForecastingLogistic RegressionEnsemble Algorithm
In this paper, we study the usage of stacking approach for building ensembles of machine learning models. The cases for time series forecasting and logistic regression have been considered. The results show that using stacking technics we can improve performance of predictive models in considered cases.
| Year | Citations | |
|---|---|---|
Page 1
Page 1