Utilization of boosted classification trees for the detection of cows with conception difficulties
2021
Zaborski, D. | Grzesiak, W.
The present study is planned to apply boosted classification trees for the detection of cows with potential conception problems. Nine hundred and eighteen artificial insemination records from Polish Holstein-Friesian Black-and-White cows were included. Each record consisted of nine predictor variables. The output variable was a conception difficulty class (good or poor). Sensitivity, specificity and accuracy on the test set were 82.93%, 84.46% and 83.91%, respectively. The most influential predictors of conception difficulty included calving interval, gestation length, body condition score, fat and protein content and age. Boosted classification trees could be applied as an on-farm decision support tool to identify cows with conception problems.
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