corpus.blog
41554 blogs · 4,417,066 posts Claim your blog
Record · corpus.blog/posts/01a087c6-90a7-7151-a28f-6558a793abfb

Classification Metrics: Visual Explanations

polukhin.tech · published 26 November 2022

A record is what was published and who pointed at it. The text of the post is not held here: read it at the source, or at its Wayback capture.

Read the post at polukhin.tech Wayback capture
0blogs citing
First cited
—
Most recent
—
Rank this month
not ranked
Links from this post
12
Words captured
418

Cited by

No blog we hold has cited this post yet.

Links from this post

Link
Host
https://developers.google.com/machine-learning/crash-course/classification/true-false-positive-negative
developers.google.com
https://developers.google.com/machine-learning/crash-course/classification/accuracy
developers.google.com
https://developers.google.com/machine-learning/crash-course/classification/roc-and-auc
developers.google.com
https://towardsdatascience.com/precision-and-recall-made-simple-afb5e098970f
towardsdatascience.com
https://medium.com/mlearning-ai/evaluating-classification-models-why-accuracy-is-not-enough-abf3d9c93a69
medium.com
https://medium.com/opex-analytics/why-you-need-to-understand-the-trade-off-between-precision-and-recall-525a33919942
medium.com
https://towardsdatascience.com/essential-things-you-need-to-know-about-f1-score-dbd973bf1a3
towardsdatascience.com
https://analyticsindiamag.com/understanding-the-auc-roc-curve-in-machine-learning-classification/
analyticsindiamag.com
https://mlu-explain.github.io/precision-recall/
mlu-explain.github.io
https://mlu-explain.github.io/roc-auc/
mlu-explain.github.io
https://www.coursera.org/lecture/stanford-statistics/the-idea-behind-testing-hypotheses-fvJGd
coursera.org
https://en.wikipedia.org/wiki/Harmonic_mean
en.wikipedia.org