Towards Data Science Understanding Auc Roc
Towards Data Science Understanding Auc Roc . See more of towards data science on facebook. One really strong way to evaluate the prediction power of a classifier is by plotting the roc (receiver. ROC Curve, a Complete Introduction by Reza Bagheri from towardsdatascience.com 0.9761029411764707 0.9233769727403157 we can also plot the roc curves for the two algorithms using matplotlib : While it is useful to visualize a classifier’s roc curve, in many cases we can boil this information down to a single metric — the auc. So, data scientist has to determine the best threshold value considering the problem’s nature.