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This is my very first implementation of a neural net classifier based on the multilayer perceptron classifier from php-ml.
In order to get okay-ish results I had to
All that is now available as a occ command with various optional parameters:
Some of the most recent training runs yield results like this:
Roughly translated to our problem this means 80 to 90% of the addresses classified as 'n' (negative) are really from suspicious logins. On the other hand, of all logins from unknown IPs we detect ~80%.
Ref https://en.wikipedia.org/wiki/Precision_and_recall