Hey,
I'm computing the AUC for some data...
The classification target is 1 or 0. And i have a lot of 0's ( 5600) and
just 700 1's as a target.
My AUC is about 0.097...
where y_test are a vector containing 1's and 0's and auc is containg the
predict_proba values
roc= metrics.roc_auc_score(y_test, auc).
Actually this value seems way to bad, because my ballance accuracy is about
0.77... i thought that I'm Doing maybe something wrong.
report:
precision recall f1-score support
0.0 0.95 0.91 0.93 537
1.0 0.49 0.63 0.55 73
avg / total 0.89 0.88 0.88 610
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