Benchmarking PNW Model for MedMNIST to 100% Accuracy

Bo Deng

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arXiv · 2604.18916

Benchmarking PNW Model for MedMNIST to 100% Accuracy

Bo Deng

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Abstract

In this paper, we introduce a new concept called Artificial Special Intelligence by which Machine Learning models for the classification problem can be trained error-free, thus acquiring the capability of not making repeated mistakes. The method is applied to 18 MedMNIST biomedical datasets. Except for three datasets, which suffer from the double-labeling problem, all are trained to perfection.

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Bo Deng. 2026-04-20. Benchmarking PNW Model for MedMNIST to 100% Accuracy. https://arxiv.org/abs/2604.18916

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