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Tip #1 - Benefits of using multiple test sets. Gain better insights regarding you model robustness
Tip #2 - Is your model calibrated? Probability calibration: why it matters and how to measure it
What is a "good enough" performance? Tip: Use an ongoing baseline model in production to benchmark your performance