I've trained and testing a
logistic regression binary-classification model using
AWS Machine Learning. The evaluation has the following features:
AUC: ~95% "extremely good"
Scores/ # records graph: One large spike, basically saying that the model scores nearly all observations nearly the same, as such:
How would you characterize the performance of this model?