Bridging to Python: Solving the Same Problem with scikit-learn and Running It in .NET via ONNX
A model trained with scikit-learn in Python can be converted to ONNX together with its preprocessing and run in .NET with ONNX Runtime so that it gives the same result. We build Bookstore's cancellation model with a scikit-learn Pipeline and cross-validation, map the concepts to ML.NET, export it with skl2onnx and score it in C#, showing with real output that the difference stays around 10⁻⁷, and the float type, opset and unconvertible step pitfalls.
15 Nov 2026
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11 min
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6
