All ML classifiers (and algorithms) have a non-zero false positive rate. Having an error rate is baked into every ML classifier and algorithm. And its always non-zero in practice. In fact, hitting every test in some sort of test suite is likely a sign of a less accurate classifier, not a more accurate one.