A new Python library transforms model performance by intelligently optimizing classification thresholds. By addressing the pitfalls of default thresholds and piecewise-constant metrics, it delivers up to 40% improvement in key metrics. Designed for efficiency, the API offers exact O(n log n) solutions for real-world ML challenges.