We found that not all prediction mistakes reduced the perceived accuracy equally. Furthermore, the perceived accuracy differed significantly from the calculated accuracy. To conclude, accuracy and related measures seem unsuitable to represent how users perceive the performance of classifiers.
Feb 13, 2023
Apr 29, 2022 · We found that not all prediction mistakes reduced the perceived accuracy equally. Furthermore, the perceived accuracy differed significantly ...
Feb 13, 2023 · We found that not all prediction mistakes reduced the perceived accuracy equally. Furthermore, the perceived accuracy differed significantly ...
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Sep 10, 2024 · After the interaction, participants judged the classifier's accuracy. We found that not all prediction mistakes reduced the perceived accuracy ...
How Accurate Does It Feel? – Human Perception of Different Types of ... The effects of meaningful and meaningless explanations on trust and perceived system ...
Classification accuracy reflects the amount of error contained in a classified data set and indicates the classification's fitness for purpose. An unacceptably ...
The purpose of the study was to compare mathematical classification accuracy with the perceived accuracy of the system as experienced by the users. Results ...
Aug 9, 2022 · There is nothing like good accuracy. If a classification model can predict an outcome better than toss of a coin/randomness, then it's a good model.
Missing: Mistakes. | Show results with:Mistakes.
Apr 6, 2023 · Sophisticated machine recognition systems— especially deep neural networks (DNNs)—now rival human accuracy on a wide array of visual tasks,.
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... and. Christin Seifert. 2022. How Accurate Does It Feel? – Human Perception of. Diferent Types of Classifcation Mistakes. In Proceedings of the 2022 CHI Confer ...