Re-calibrating Machine Learning Models Using Confidence Interval Bounds.
Andrea CampagnerLorenzo FamigliniFederico CabitzaPublished in: MDAI (2022)
Keyphrases
- machine learning models
- confidence intervals
- spam filtering
- machine learning algorithms
- machine learning approaches
- sample size
- upper bound
- lower bound
- markov chain
- machine learning
- test set
- predictive model
- learning models
- worst case
- conditional probabilities
- text classification
- monte carlo
- information retrieval
- prior knowledge
- decision trees
- data points