Cautious Classification with Data Missing Not at Random Using Generative Random Forests.
Julissa Villanueva LlerenaDenis Deratani MauáAlessandro AntonucciPublished in: ECSQARU (2021)
Keyphrases
- random forests
- data sets
- data sources
- decision trees
- missing data
- data points
- knowledge discovery
- regression forests
- missing values
- unsupervised learning
- data analysis
- logistic regression
- training data
- machine learning
- classification accuracy
- supervised learning
- evolutionary algorithm
- machine learning algorithms
- relational databases
- ensemble methods
- classification trees