how should a trader evaluate applying machine learning parameters distinguish between a valid breakout and a fakeout at a key support or res

how should a trader evaluate applying machine learning parameters distinguish between a valid breakout and a fakeout at a key support or resistance level when out-of-sample data diverges from historical baselines?