What is sensitivity and selectivity in bioinformatics?
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Bioinformatics is the field that helps in developing methods and software tools for a better understanding of the biological data.
Sensitivity, Specificity, and Accuracy are the most common terms that are associated with test for Binary classification. They help in statistically measuring the performance of the tests.
Sensitivity is the parameter used to find the ability to predict a category and identify those who have the disease correctly.
Specificity is the parameter used to find the ability to correctly predict the test and other category like identify those who do not have the disease.
Sensitivity, Specificity, and Accuracy are the most common terms that are associated with test for Binary classification. They help in statistically measuring the performance of the tests.
Sensitivity is the parameter used to find the ability to predict a category and identify those who have the disease correctly.
Specificity is the parameter used to find the ability to correctly predict the test and other category like identify those who do not have the disease.
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