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Everything about Binary classification
Dividing things between two categories
Binary classification is the task of putting things into one of two categories. As such, it is the simplest form of the general task of classification into any number of classes. Typical binary classification problems include:Medical testing to determine if a patient has a certain disease or not; Quality control in industry, deciding whether a specification has been met; In information retrieval, deciding whether a page should be in the result set of a search or not In administration, deciding whether someone should be issued with a driving licence or not In cognition, deciding whether an object is food or not food. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Binary classificationA 5-minute orientation
- Skim a recent paper: The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classificationInfluential work since 2022
- Pick up a classic book: Kleshchi semeĭstva Cheyletidae mirovoĭ faunyThe most-reprinted book on the subject
- Read the landmark paper: Multiresolution gray-scale and rotation invariant texture classification with local binary patternsCited 13,043 times
- Go sideways: Evaluation of binary classifiersA closely related topic
- Go sideways: Precision and recallA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation
The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets
Binary relevance efficacy for multilabel classification
Classification of binary random patterns
Noisy replication in skewed binary classification
Classification Trees for Multiple Binary Responses
Image classification with binary gradient contours
🆕 Influential since 2022
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification
Using binary classifiers for one-class classification
Multi-Label Classification Using Binary Tree of Classifiers
Representation of binary classification trees with binary features by quantum circuits
Binary and Multi-Class Malware Threads Classification
📚 Books worth reading
Kleshchi semeĭstva Cheyletidae mirovoĭ faunyV. I. Volgin · 1969
Binary quadratic formsDuncan A. Buell · 1989
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Evaluation of binary classifiers Evaluation of a binary classifier typically assigns a numerical value, or values, to a classifier that represent its accuracy. An example is error rate…
- Precision and recall In classification, precision and recall are performance metrics that apply to data retrieved from a collection, corpus or sample space. Precision (also…
- Phi coefficient In statistics, the phi coefficient, also known as the mean square contingency coefficient or Yule coefficient of correlation and commonly denoted by φ…
- Diagnostic odds ratio In medical testing with binary classification, the diagnostic odds ratio (DOR) is a measure of the effectiveness of a diagnostic test. It is defined as…
- F-score In statistical analysis of binary classification and information retrieval systems, the F-score or F-measure is a measure of predictive performance. It…
- P4-metric The P4 metric (also known as FS or Symmetric F) enables performance evaluation of a binary classifier. The P4 metric is calculated from precision, recall…
- Sensitivity and specificity In medicine and statistics, sensitivity and specificity mathematically describe the accuracy of a test that reports the presence or absence of a medical…
- Youden's J statistic Youden's J statistic (also called Youden's index) is a single statistic that captures the performance of a dichotomous diagnostic test. In meteorology…