Difference between revisions of "TDSM 7.7"
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(Created page with "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 posit...") |
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+ | Recall is the y axis of ROC Curve. |
Latest revision as of 04:26, 11 December 2017
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.