ROC Curve: Difference between revisions
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== Ideal ROC Curve == | == Ideal ROC Curve == | ||
* A | * A ''perfect classifier'' reaches the top-left corner (TPR = 1, FPR = 0). | ||
* The | * The ''diagonal line'' (from (0,0) to (1,1)) represents a '''random classifier'''. | ||
* The | * The ''closer the curve is to the top-left'', the better the model. | ||
== Area Under the Curve (AUC) == | == Area Under the Curve (AUC) == | ||
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roc curve in machine learning, what is roc curve, tpr vs fpr, roc curve example, auc roc explained, binary classifier evaluation, model performance threshold, difference between roc and pr curve | roc curve in machine learning, what is roc curve, tpr vs fpr, roc curve example, auc roc explained, binary classifier evaluation, model performance threshold, difference between roc and pr curve | ||
[[Category:Artificial Intelligence]] | |||