Reducing numerical precision preserves classification accuracy in Mondrian Forests.
Marc VicunaMartin KhannouzGregory KiarYohan ChatelainTristan GlatardPublished in: CoRR (2021)
Keyphrases
- classification accuracy
- high precision
- high recall
- naive bayes
- feature selection
- feature space
- support vector
- numerical analysis
- training set
- random forests
- artificial intelligence
- terms of classification accuracy
- selected features
- precision and recall
- training data
- sensitivity analysis
- random forest
- probabilistic model
- hidden markov models
- numerical data
- knowledge base
- data sets
- high classification accuracy