That is definitely a trend. Similarly, Alaska (first in the abbreviated drop down list for states) could be fraudulent due to the same reason. I don't believe that the fraud users are actually from Alaska.
If you read the labels for the graph, it says "local time" of the user / fraudster. If we didn't take into account the local time of the user, the data would not be very interesting to look at (mostly uniform) since we…
Hi there, I worked on retrieving and distilling this dataset at Sift Science. To address your concerns: Yes, time zones are accounted properly. And yes, the number of data points is significant. As I've said earlier,…
That is definitely a trend. Similarly, Alaska (first in the abbreviated drop down list for states) could be fraudulent due to the same reason. I don't believe that the fraud users are actually from Alaska.
If you read the labels for the graph, it says "local time" of the user / fraudster. If we didn't take into account the local time of the user, the data would not be very interesting to look at (mostly uniform) since we…
Hi there, I worked on retrieving and distilling this dataset at Sift Science. To address your concerns: Yes, time zones are accounted properly. And yes, the number of data points is significant. As I've said earlier,…