Auc curve have 3 values for 3 different parameter models such as , red model with .7 auc, green as .57 , blue as .72. Which of the model is best in this case? Select one:
a. Red
b. Can not say on auc
c. Green
d. Blue
Answers
Answered by
33
Explanation:
Answer :-
Green
Option (c) is correct
Answered by
0
Green model is the best in this case. ( Option C is the correct answer)
- Performance for classification issues at various threshold levels is measured by the AUC-ROC curve.
- The AUC reflects the level or measure of separability, and the ROC is a probability curve. The model's capacity to discriminate between classes is indicated by this. AUC indicates how well a model predicts 0 classes as 0 and 1 classes as 1.
- The higher the AUC, the better. By analogy, a model's ability to distinguish between patients with the condition and those who do not have it is inversely correlated with the AUC value.
- AUC close to 1, which indicates a high level of separability, indicates a good model. The poorest metric of separability is seen in a model with an AUC close to 0, which indicates poor performance.
- In actuality, it signifies that the outcome is being reciprocated. 0s are predicted as 1s and 1s are predicted as 0s. Furthermore, a model has no capacity for class separation when AUC is equal to 0, which is the case here.
Hence, Green model is the best in this case.
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For more information about AUC Curve, you can refer to the following questions
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