This repository contains the code and paper about the Human Data Analytics project course at the University of Padua. The authors propose models that can achieve up to 98% of accuracy in classify lymphoma subtypes, highlighting that we need to focus on obtaining an explainable model instead of throwing a large and complex one that we cannot fully understand. The notebook includes preprocessing functions for fast training on Google TPUs.
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This repository contains the code and paper about the Human Data Analytics project course at the University of Padua. The authors propose models that can achieve up to 98% of accuracy in classify lymphoma subtypes, highlighting that we need to focus on obtaining an explainable model instead of throwing a large and complex one that we cannot ful…
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cristianocolpo/lymphoma-classification
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This repository contains the code and paper about the Human Data Analytics project course at the University of Padua. The authors propose models that can achieve up to 98% of accuracy in classify lymphoma subtypes, highlighting that we need to focus on obtaining an explainable model instead of throwing a large and complex one that we cannot ful…
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