[Article] Evaluating Deep Learning Models: The Confusion Matrix, Accuracy, Precision, and Recall

Original article was published by /u/hellopaperspace on Deep Learning

This article gives an intuitive and thorough explanation of deep learning metrics like accuracy, precision, recall, and the confusion matrix. Topics covered include the confusion matrix for binary and multi-class classification; how to calculate the confusion matrix with Scikit-learn; a discussion of accuracy, precision, and recall; and when to use either precision or recall.

Article link: https://blog.paperspace.com/deep-learning-metrics-precision-recall-accuracy/

submitted by /u/hellopaperspace
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