A company has started using the AWS machine learning service and is using Binary classification for its model. After the initial evaluation, the AUC is showing a score of 0.51. What does this indicate?

Answer options:

A.The evaluation is highly inaccurate
B.The evaluation is highly accurate
C.The evaluation is more like taking a guess on the result
D.You should change the classification model

Answer – C
With the Binary classification model, the default cutoff between a positive or negative is 0.5. Any score close to 1 means that the model is accurate. Having a score of 0.5 is more like taking a guess on whether the result is positive or negative.
For more information on binary classification, please refer to the below URL
https://docs.aws.amazon.com/machine-learning/latest/dg/binary-classification.html