To evaluate the diagnostic accuracy of an algorithm, it can be compared to the best existing classification for the used dataset, for which the value 100 percent is assigned.

To evaluate the diagnostic accuracy of an algorithm, it can be compared to the best existing classification for the used dataset, for which the value 100 percent is assigned.

The first job for many artificial intelligence (AI) algorithms is to examine the data and find the best classification. An autonomous car, for example, may take an image of a street sign; the ...

An updated emergency visit classification tool enables managers to make valid inferences about levels of appropriateness of emergency department utilization and healthcare needs within a population.

Classification can be applied to anything from casual documents and detailed narratives to complex source code, audio files, images and videos (using OCR algorithms).

In a step toward an AI-forward alternative, researchers at Google developed LEAF, a frontend that that breaks down mel-filterbanks into several components — filtering, pooling, and compression ...

In this paper, the NSL-KDD data set is analyzed and used to study the effectiveness of the various classification algorithms in detecting the anomalies in the network traffic patterns.