A medical diagnostic machine learning model to detect skin cancer, called SkinCan, was evaluated against a test dataset
Posted: Sun Jul 10, 2022 10:18 am
A medical diagnostic machine learning model to detect skincancer, called SkinCan, was evaluated against a test dataset thathad 100 examples of known skin cancer conditions.
The test dataset has 50 known positive data points (meaning,'has cancer') and 45 known negative data points (meaning 'does nothave cancer').
SkinCan predicted 40 true positives and 36 true negatives.
Which of the following are the correct answers for sensitivity,specificity, precision, and accuracy (in that order)?
50, 45, 40, 36
0.80, 0.80, 0.816, 0.80
0.50, 0.45, 0.40, 0.36
0.80, 0.80, 0.80, 0.80
The test dataset has 50 known positive data points (meaning,'has cancer') and 45 known negative data points (meaning 'does nothave cancer').
SkinCan predicted 40 true positives and 36 true negatives.
Which of the following are the correct answers for sensitivity,specificity, precision, and accuracy (in that order)?
50, 45, 40, 36
0.80, 0.80, 0.816, 0.80
0.50, 0.45, 0.40, 0.36
0.80, 0.80, 0.80, 0.80