Precision at the indistinguishability threshold: a method for evaluating classification algorithms.
David J. T. SumpterPublished in: CoRR (2023)
Keyphrases
- classification algorithm
- classification method
- high precision
- preprocessing
- computationally efficient
- theoretical analysis
- support vector machine
- classification accuracy
- computational complexity
- accuracy rate
- computational efficiency
- significant improvement
- objective function
- pattern classification
- cross validation
- machine learning methods
- computational cost
- decision tree algorithms
- support vector machine svm
- feature vectors
- detection method
- nearest neighbour
- feature set
- decision trees
- benchmark data sets
- unsupervised learning
- similarity measure
- convergence rate
- pairwise
- feature selection
- ensemble classifier
- classification rate
- combinatorial optimization
- data structure
- k means
- probabilistic model
- decision rules
- benchmark datasets
- clustering method
- machine learning