the data scientists that how many fraud cases that my predictor not get so out of all the fraudulent cases it didn't pick up 20 fraudulent cases the anomaly detection model so it's not a bad model it's pretty it's pretty neat for a fraud project well as you can see here we have 0.16 percent of fraudulent cases and more there's more anomalies that we found which goes to the results that we have what you see here is actually the reconstruction errors that Angela described for each and every variable so from fraud analysts point of view that