Decision Tree to Classification of Dairy Cows from Genetic Information
This paper presents decision trees as a machine learning technique for classifying cows as good milk producers or not, based on the use of genetic markers. The purpose is to select genetically superior animals in less time and make the assisted reproduction process more efficient, thereby reducing c...
保存先:
| 第一著者: | |
|---|---|
| フォーマット: | Online |
| 言語: | spa |
| 出版事項: |
Universida de Sonora
2022
|
| オンライン･アクセス: | https://epistemus.unison.mx/index.php/epistemus/article/view/220 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
| 要約: | This paper presents decision trees as a machine learning technique for classifying cows as good milk producers or not, based on the use of genetic markers. The purpose is to select genetically superior animals in less time and make the assisted reproduction process more efficient, thereby reducing costs and increasing profits in the dairy sector. Results are presented on the efficiency of decision trees for the classification of dairy cows, up to 94.5% accuracy was achieved. In addition, the algorithm allowed the identification of the most dominant SNP for classification, and the chromosome that most influences the prediction. |
|---|
