Python codes for machine learning algorithms for subclinical mastitis prediction
Saved in:
| Title: | Python codes for machine learning algorithms for subclinical mastitis prediction |
|---|---|
| Authors: | Hamza Yalçin |
| Publication Year: | 2025 |
| Collection: | The University of Auckland: Figshare |
| Subject Terms: | Animal nutrition, Animal production not elsewhere classified, Machine learnig, Milk composition |
| Description: | subclinical mastitis was predicted using different machine learning methods. different test methods were used to predict which parameters and ML methods were effective in explaining SCC. |
| Document Type: | dataset |
| Language: | unknown |
| Relation: | https://figshare.com/articles/dataset/_b_Python_codes_for_machine_learning_algorithms_for_subclinical_mastitis_prediction_b_/29445011 |
| DOI: | 10.6084/m9.figshare.29445011.v1 |
| Availability: | https://doi.org/10.6084/m9.figshare.29445011.v1 https://figshare.com/articles/dataset/_b_Python_codes_for_machine_learning_algorithms_for_subclinical_mastitis_prediction_b_/29445011 |
| Rights: | CC BY 4.0 |
| Accession Number: | edsbas.97C027DA |
| Database: | BASE |
Nájsť tento článok vo Web of Science | Abstract: | subclinical mastitis was predicted using different machine learning methods. different test methods were used to predict which parameters and ML methods were effective in explaining SCC. |
|---|---|
| DOI: | 10.6084/m9.figshare.29445011.v1 |