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Stacking Machine Learning Models. Tunning; feature engineering, scaling, models combinations and parameters.
StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics
Visually-Assisted Performance Evaluation of Metamodels in Stacking Ensemble Learning
Anomaly-Based Network Intrusion Detection Using Ensemble Learning
The main objectives of this project are Stacked Generalization (Stacking) and comparing models with ANOVA tests. To do that I classify if a person flying with an unnamed north american airline company is satisfied or neutral/dissatisfied with their flight.