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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<math>Recall = \frac{TP}{TP + FN}</math>
 
<math>Recall = \frac{TP}{TP + FN}</math>
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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.