You can identify the spam because it's your inbox; you know what your goodmail is supposed to look like. For that reason you can use locally-trained naive Bayes on the client, and get good recognition (you don't need ML).

Honestly, the best filter in my experience is Spamhaus Zen; it spots most spam with very few FPs. It's an IP blocklist.