Statistical Hypothesis Testing versus Machine Learning Binary Classification: Distinctions and Guidelines.
Jingyi Jessica LiXin TongPublished in: Patterns (2020)
Keyphrases
- binary classification
- statistical hypothesis testing
- learning problems
- machine learning
- support vector machine
- multi class
- support vector
- sample size
- machine learning algorithms
- cost sensitive
- generalization error
- learning tasks
- multi label
- multi class classification
- learning algorithm
- bipartite ranking
- semi supervised learning
- prediction accuracy
- decision trees
- kernel methods
- binary classifiers
- reinforcement learning
- supervised learning
- ensemble methods
- model selection
- machine learning methods
- active learning
- data mining
- feature vectors
- knowledge discovery
- information extraction
- unsupervised learning
- feature selection
- image classification
- higher order
- natural language processing
- semi supervised
- upper bound
- image segmentation