Supplementary Figure 7: True and false positive rates for machine learning mosquito sex classifier. | Nature Biotechnology

Supplementary Figure 7: True and false positive rates for machine learning mosquito sex classifier.

From: Efficient production of male Wolbachia-infected Aedes aegypti mosquitoes enables large-scale suppression of wild populations

Supplementary Figure 7

A receiver operating characteristic (ROC) plot for the machine learning model used to find female mosquitoes that were accepted by the industrial vision system. False positive rate (that is probability of female being misclassified as a male) shown on x-axis and true positive rate (that is probably that a male is improperly classified as female or sensitivity) shown on the y-axis.

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