| description |
|---|
Receiver Operating Characteristic Curve, Area Under Curve |
{% hint style="success" %} ROC Curve Is the plot of Sensitivity/TPR (Y axis) vs (1-Specificity)/FPR (X axis). It is a graphical plot that illustrates the diagnostic ability of a binary classifier, as its discrimination threshold is varied. {% endhint %}
{% hint style="success" %} AUC is a metric for how well a model fit the data (1 being absolutely perfect fit). {% endhint %}
{% embed url="https://www.youtube.com/watch?v=OAl6eAyP-yo" %}