Machine Learning and AI for Healthcare by Arjun Panesar

Author:Arjun Panesar
Language: eng
Format: epub
ISBN: 9781484237991
Publisher: Apress

Classification

Classification problems seek to give a label or classification to an input. There are several methods by which to measure performance, including accuracy, precision-recall, confusion matrices, log-loss (logarithmic loss), and AUC (area under the curve).

Accuracy

Accuracy is the simplest technique used in identifying whether a model is making correct predictions. It is calculated as a percentage of correct prediction over the total predictions made.

Accuracy = number of correct predictions/number of total predictions

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