DRAG DROP - Drag the adjustment formulas for oversamping from the left and place them into the correct location in the confusion matrix shown on the right. Select and Place:
The Correct Matrix is
------------------------------Predicted Class
Actual Class----[ 0 ]----------------[ 1 ]
[ 0 ]---[π0 x specificity ]----------------[π0 x (1 - specificity)]
[ 1 ]---[π1 x (1 - sensitivity)]----------------[ π1 x sensitivity ]
Source: SAS Certification Prep Guide Statistical Business Analysis Using 9.4, December 2018, Shreve, Holland . Page 390 - Chapter 11 Measure of Model Performance
Mr. Mister's answer is WRONG. I literally just took this from the SAS video- Predictive Modeling Using Logistic Regression (15.1), LESSON 4.2
Predicted 0, Actual 0= pi0-specificity
Predicted 1, Actual 0=pi0*(1-specificity)
Predicted 0, Actual 1=pi1*(1-SENSITIVITY)
Predicted 1, Actual 1= pi1*SENSITIVITY
*Use specificity on actual False row, Use sensitivity on actual True row
SOURCE: https://vle.sas.com/mod/scorm/player.php?a=5275¤torg=ORG-EPMLR51&scoid=11485&newattempt=on
So correct confusion matrix would look like?
Predicted
0 | 1
------------------------------------------------------------------------------------
0 | π0 x (1 - specificity) | π0 x specificity
Actual -----------------------------------|-------------------------------------
1 | π1 x sensitivity | π1 x (1 - sensitivity)
Just want to make sure I interpret your comment correctly. Thanks!
This is wrong. Actual Class 1 - should use pi1 / Actual class 0 - should use pi0
upvoted 1 times
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chuck
3 years, 8 months agoUnorich
4 years, 1 month agoMrMister
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