Nearest Centroid recovers WHO fertility labels from the same semen parameters that define those labels at 94.2% accuracy on the 85-sample VISEM set.
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Predicting Male Fertility Using Machine Learning: A Semen Parameters Based Analysis with the VISEM Dataset
Nearest Centroid recovers WHO fertility labels from the same semen parameters that define those labels at 94.2% accuracy on the 85-sample VISEM set.