决策树的潜力作为一种工具来简化肉福利评估
Xavier Averós1, Jose Luís Lavín2, Inma Estevez3,4
1Department of Animal Production, NEIKER-Basque Institute for Agricultural Research and Development, Basque Research and Technology Alliance (BRTA), N-104, km. 355, 01192, Arkaute, Spain. xaveros@neiker.eus.
Scientific reports
|October 2, 2024
概括
决策树通过识别死亡率和等关键指标来简化肉福利评估. 这种方法有效地衡量羊群福利,提高评估效率和准确性.
科学领域:
- 动物福利科学 动物福利科学
- 农业科学 农业科学
- 数据科学数据科学数据科学
背景情况:
- 快速生长的肉福利评估是复杂和耗时的.
- 对群体福利进行基准评估需要简化,可靠的评估工具.
- 对于大规模应用,现有的协议可能缺乏效率.
研究的目的:
- 开发一个简化的决策树模型来评估 brojler 福利.
- 确定关键指标,以区分通过和失败的福利评估.
- 为了创建一个对肉群的基准测试工具.
主要方法:
- 在之前的三个项目中利用了57只肉群的数据.
- 采用了千平方自动交互检测 (CHAID) 标准来构建决策树.
- 应用成本-复杂性修剪和十倍交叉验证以改进模型.
主要成果:
- 最终的决策树包括累积死亡率,不动/的鸟类和背部伤口.
- 评估失败的群体显示这些指标的值明显更高.
- 累积死亡率被确定为最关键的指标.
- 该模型实现了福利评估结果的80.70%预测准确度,具有86.96%的特异性和54.55%的灵敏度.
结论:
- 决策树为简化 brojler 福利评估提供了一种可行的方法.
- 开发的模型可以作为一个有效的基准测试工具.
- 随着数据和样本大小的增加,预计将进一步改进模型.
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