Accounting for Variance in Machine Learning Benchmarks.
Xavier BouthillierPierre DelaunayMirko BronziAssya TrofimovBrennan NichyporukJustin SzetoNazanin Mohammadi SepahvandEdward RaffKanika MadanVikram VoletiSamira Ebrahimi KahouVincent MichalskiTal ArbelChris PalGaël VaroquauxPascal VincentPublished in: MLSys (2021)
Keyphrases
- data sets
- machine learning
- machine learning algorithms
- machine learning methods
- decision trees
- machine learning approaches
- learning algorithm
- pattern recognition
- standard deviation
- knowledge acquisition
- text classification
- explanation based learning
- active learning
- knowledge discovery
- real world
- text mining
- supervised learning
- computer vision
- artificial intelligence
- learning problems
- kernel methods
- covariance matrix
- statistical learning
- supervised classification
- database
- machine learning and data mining
- computational intelligence
- information extraction
- support vector machine
- knowledge representation
- trade off
- expert systems
- data analysis
- computer science
- information systems
- data mining