How to compare ROC AUC scores of different binary classifiers and assess statistical significance in Python? (p-value, confidence interval)

Question

I would like to compare different binary classifiers in Python. For that, I want to calculate the ROC AUC scores, measure the 95% confidence interval (CI), and

Answer 1

One can use the code given below to compute the AUC and asymptotic normally distributed confidence interval for Neural Nets.

tf.contrib.metrics.auc_with_confidence_intervals(
labels,
predictions,
weights=None,
alpha=0.95,
logit_transformation=True,
metrics_collections=(),
updates_collections=(),
name=None)