Evaluate the Training Set: is it necessary? A theorecal Presentation of Y_Measure : New Metric for Evaluating Training Sets for Supervised Classification.
Mohamed Amine BoudiaPublished in: ICNSC (2023)
Keyphrases
- supervised classification
- training set
- supervised learning
- supervised classifiers
- training data
- decision trees
- classification accuracy
- distance measure
- active learning
- nearest neighbor
- training examples
- unsupervised clustering
- training samples
- unsupervised learning
- test set
- semi supervised learning
- class labels
- statistical learning theory
- test data
- land cover classification
- information content
- unlabeled data
- support vector machine
- labeled data
- data sets
- feature space
- classification algorithm
- svm classifier
- training set size
- similarity measure
- training dataset
- quality metrics
- real world
- machine learning
- remotely sensed images
- face images
- model averaging
- classification procedure
- random selection
- unsupervised classification
- image segmentation
- weak classifiers
- base classifiers
- knowledge discovery