Original language | English |
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Title of host publication | Encyclopedia of Bioinformatics and Computational Biology |
Subtitle of host publication | ABC of Bioinformatics |
Editors | Shoba Ranganathan, Michael Gribskov, Kenta Nakai, Christian Schönbach |
Publisher | Elsevier |
Pages | 342-349 |
Number of pages | 8 |
Volume | 1-3 |
ISBN (Electronic) | 9780128114322 |
ISBN (Print) | 9780128114148 |
DOIs | |
Publication status | Published - 2019 |
Abstract
Supervised learning is the task of building a model that is able to fit the available observations. In the area of supervised learning, classification is one of the most studied problems. Given a set of predefined class labels (two or more) and a set of available observations, the aim is to build a model based on the features of the observations that is able to assign each observation to the corresponding class. In Bioinformatics several problems can be formulated as a classification task. This article introduces several supervised learning techniques that are commonly used to address a classification problem, presenting the most used measures to evaluate the performance of a classification model.
Keywords
- Bioinformatics
- Classification
- Machine learning
- Supervised learning