A team of material scientists at Haverford College has shown how human bias in data can impact the results of machine-learning algorithms used to predict new reagents for use in making desired products. In their paper published in the journal Nature, the group describes testing a machine-learning algorithm with different types of datasets and what they found.
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Source: Phys.org