TDSM 7.7
From The Data Science Design Manual Wikia
Revision as of 04:26, 11 December 2017 by HongyiDuanmu (talk | contribs)
Precision is how many of our positive guesses are true out of all examples for which we said yes.
[math]Precision = \frac{TP}{TP + FP}[/math]
Recall is how many of our positive guesses are true out of all examples which are really true.
[math]Recall = \frac{TP}{TP + FN}[/math]
Recall is the y axis of ROC Curve.
