Fraud Detection

Fraud Detection

plaid的payment risk就是这一类

我想到的metrics

  • Offline

    • confusion matrix: recall
    • NE
  • Online

    • number of fraud transaction
    • loss from fraud, per day, or per million transaction

看这里 [[TP, FN, TOC, etc.....]]

Precision

  • Precision is calculated by dividing the true positives by anything that was predicted as a positive.

Recall

  • Recall (or True Positive Rate) is calculated by dividing the true positives by anything that should have been predicted as positive.

Accuracy

  • 就是正确率

Accuracy = (TP + TN) / Total Number

False Positive

  • 也就是False decline, because there are reasons to suspect fraud
  • Pain point for financial institution which stand to lose out on customer loyalty, when company incorrectly declines transaction

2015年,15% all carholders had at least 1 transaction INcorrectly declined in the previous year, which represented an annual revenue loss totaling nearly $118 billion

What’s more, 39% 被decline的人,gave up their card, after falsely declined

Overall, lost revenue and diminished customer loyaty

False Positive and False Negative will both loss money


You'll only receive email when they publish something new.

More from ML
All posts