The accuracy paradox is the paradoxical finding that accuracy is not a good metric for predictive models when classifying in predictive analytics. This is because a simple model may have a high level of accuracy but be too crude to be useful. For example, if the incidence of category A is dominant, being found in 99% of cases, then predicting that every case is category A will have an accuracy of 99%. Precision and recall are better measures in such cases.[1][2]
The underlying issue is that there is a class imbalance between the positive class and the negative class.[3] Prior probabilities for these classes need to be accounted for in error analysis. Precision and recall help, but precision too can be biased by very unbalanced class priors in the test sets.
^Cite error: The named reference Abma was invoked but never defined (see the help page).
^Cite error: The named reference PNEM was invoked but never defined (see the help page).
^Afonja, Tejumade (2017-12-08). "Accuracy Paradox". Towards Data Science. Retrieved 2019-03-15.
The accuracyparadox is the paradoxical finding that accuracy is not a good metric for predictive models when classifying in predictive analytics. This...
meaning. Accuracyparadox: Predictive models with a given level of accuracy may have greater predictive power than models with higher accuracy. Berkson's...
of the base rate fallacy is the false positive paradox (also known as accuracyparadox). This paradox describes situations where there are more false...
The coastline paradox is the counterintuitive observation that the coastline of a landmass does not have a well-defined length. This results from the...
predictive power, it cannot be used for applications.[citation needed] Accuracyparadox Forecast verification Inductive probability § Removing theories without...
Pen Reviews gave Gundry's book The Plant Paradox an overall score of 49% and a 29% score for scientific accuracy. Kratz stated that the book's strong claim...
leads to a paradox known as the Gibbs paradox, after Josiah Willard Gibbs, who proposed this thought experiment in 1874‒1875. The paradox allows for the...
The Faraday paradox or Faraday's paradox is any experiment in which Michael Faraday's law of electromagnetic induction appears to predict an incorrect...
artificial intelligence Outline of computer vision Outline of robotics Accuracyparadox Action model learning Activation function Activity recognition ADALINE...
birthday paradox refers to the counterintuitive fact that only 23 people are needed for that probability to exceed 50%. The birthday paradox is a veridical...
electricity costs, savings in material costs, and improvements to quality, accuracy, and precision. Automation includes the use of various equipment and control...
Stevin was the first to explain the paradox mathematically. In 1916 Richard Glazebrook mentioned the hydrostatic paradox as he described an arrangement he...
in diameter is minimal, so accuracy does not suffer much; tighter chokes, however, deform the slug enough to impact accuracy significantly, and the impact...
marketing name paradox gun, is a shotgun capable of firing both shot and solid projectiles. First built by Holland and Holland, the term paradox is a proprietary...
since precision is a limit to accuracy (in the ISO definition of accuracy), this often leads to overconfidence in the accuracy, named precision bias. Madsen...
while having a larger number of outliers, he still believes has reasonable accuracy for use. Tracking of video game sales is of strong interest to the video...
predecessor, Hearts of Iron, which was developed by Paradox Development Studio and published by Paradox Interactive. It takes place in the time period from...
imparting a spin to a projectile to improve its aerodynamic stability and accuracy. It is also the term (as a verb) for creating such grooves. Rifling is...
to strictly feminine gender norms. This is known as the "female athlete paradox". Although traditional gender norms are gradually changing, female athletes...
The Icarus paradox is a neologism coined by Danny Miller in his 1990 book by the same name. The term refers to the phenomenon of businesses failing abruptly...
important departures from expected-utility maximization (Allais paradox and Ellsberg paradox). The prospect theory of Daniel Kahneman and Amos Tversky renewed...