a) What will be the accuracy of the model? (TP/(TP+FP+FN+TN)) b) Recall of the model(TP/(TP+FN)) c) Precision of the model(TP/(TP+FP)) Accuracy=.965, Recall =0.39, Precision=0.30 Accuracy=.965, Recall=0.30, Precision=0.39 Accuracy=.99, Recall-0.21, Precision=0.14 Accuracy=.99, Recall-0.31, Precision=0.34
a) What will be the accuracy of the model? (TP/(TP+FP+FN+TN)) b) Recall of the model(TP/(TP+FN)) c) Precision of the model(TP/(TP+FP)) Accuracy=.965, Recall =0.39, Precision=0.30 Accuracy=.965, Recall=0.30, Precision=0.39 Accuracy=.99, Recall-0.21, Precision=0.14 Accuracy=.99, Recall-0.31, Precision=0.34
Related questions
Question
#1
![A
No
140
9560
a) What will be the accuracy of the model? (TP/(TP+FP+FN+TN))
b) Recall of the model(TP/(TP+FN))
c) Precision of the model(TP/(TP+FP))
Accuracy=.965, Recall =0.39, Precision=0.30
Accuracy=.965, Recall-0.30, Precision=0.39
Accuracy=.99, Recall-0.21, Precision=0.14
Accuracy=.99, Recall-0.31, Precision=0.34](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F71f309ce-3c3d-4315-8a6b-c8c8322162e4%2F02433192-a908-414f-8bf9-76bf9b305ad9%2Fikn2gxc_processed.jpeg&w=3840&q=75)
Transcribed Image Text:A
No
140
9560
a) What will be the accuracy of the model? (TP/(TP+FP+FN+TN))
b) Recall of the model(TP/(TP+FN))
c) Precision of the model(TP/(TP+FP))
Accuracy=.965, Recall =0.39, Precision=0.30
Accuracy=.965, Recall-0.30, Precision=0.39
Accuracy=.99, Recall-0.21, Precision=0.14
Accuracy=.99, Recall-0.31, Precision=0.34
![The table below shows a confusion matrix for medical data where the class values
are yes and no for a class label attribute, cancer.
Actual
Cancer
Yes
No
Predicted
Yes
90
140
No
210
9560
a) What will be the accuracy of the model? (TP/(TP+FP+FN+TN))
b) Recall of the model(TP/(TP+FN))
c) Precision of the model(TP/(TP+FP))
Accuracy=.965, Recall =0.39, Precision=0.30](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F71f309ce-3c3d-4315-8a6b-c8c8322162e4%2F02433192-a908-414f-8bf9-76bf9b305ad9%2Fkcl91vq_processed.jpeg&w=3840&q=75)
Transcribed Image Text:The table below shows a confusion matrix for medical data where the class values
are yes and no for a class label attribute, cancer.
Actual
Cancer
Yes
No
Predicted
Yes
90
140
No
210
9560
a) What will be the accuracy of the model? (TP/(TP+FP+FN+TN))
b) Recall of the model(TP/(TP+FN))
c) Precision of the model(TP/(TP+FP))
Accuracy=.965, Recall =0.39, Precision=0.30
Expert Solution
![](/static/compass_v2/shared-icons/check-mark.png)
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by step
Solved in 3 steps
![Blurred answer](/static/compass_v2/solution-images/blurred-answer.jpg)