Table 2. Performance of the estrus detection models developed by three machine learning algorithms (random forest, RF; artificial neural network, ANN; and support vector machine, SVM) on 34 estrous cycles.

Machine learning algorithm	True positive	False positive	False negative	Sensitivity (%)	Precision (%)
RF	20	13	14	58.8	60.6
ANN	19	7	15	55.9	73.1
SVM	17	9	17	50.0	65.4

Sensitivity and precision were calculated as true-positive/(true-positive + false-negative) and true-positive/(true-positive + false-positive), respectively. Sensitivities and precisions of the three estrus detection models were not statistically different (Fisher’s exact test and generalized score statistic, respectively).