Machine Learning from imbalanced data-sets: an application to the bike-sharing inventory problem.
Giovanni CeccarelliGuido CantelmoMarialisa NigroConstantinos AntoniouPublished in: MT-ITS (2021)
Keyphrases
- imbalanced data sets
- machine learning
- machine learning algorithms
- benchmark data sets
- decision trees
- rare events
- concept learning
- machine learning methods
- information sharing
- data mining
- data generation
- text classification
- learning algorithm
- lead time
- active learning
- class distribution
- roc curve
- class imbalance
- imbalanced data
- semi supervised learning
- supervised learning
- monte carlo
- support vector machine
- reinforcement learning
- feature selection