Hi, I’d like to generate something similar to this:
I'm currently using:
from sklearn.metrics import roc_curve, auc
# probs from log preds
probs = np.exp(preds[:,1])
# Compute ROC curve
fpr, tpr, thresholds = roc_curve(targs, probs, pos_label=1)
# Compute ROC area
roc_auc = auc(fpr, tpr)
print('ROC area is {0}'.format(roc_auc))