التفاصيل البيبلوغرافية
| العنوان: |
Top 10 important features for Random Forest prediction model. |
| المؤلفون: |
In-Seon Lee, Mijung Yeom, Kyuseok Kim, Dae-Hyun Hahm, SeHyun Kang, Hi-Joon Park |
| سنة النشر: |
2023 |
| مصطلحات موضوعية: |
Biochemistry, Medicine, Microbiology, Cell Biology, Biotechnology, Hematology, Biological Sciences not elsewhere classified, significant positive correlation, predicted itch ratings, predict symptom severities, inflammatory skin condition, 20 healthy controls, correlation analysis revealed, 85 ± 0, 81 ± 0, 50 ± 0, using multivariate data, severity index scores, moderate atopic dermatitis, div >< p, construct prediction models, classification model outperformed, moderate ad patients, atopic dermatitis, regression analysis, possible using, combined data, subjective evaluation, severity assessment, serum measurements |
| الوصف: |
Top 10 important features for Random Forest prediction model. |
| نوع الوثيقة: |
dataset |
| اللغة: |
unknown |
| Relation: |
https://figshare.com/articles/dataset/Top_10_important_features_for_Random_Forest_prediction_model_/24491570 |
| DOI: |
10.1371/journal.pone.0293332.t002 |
| الاتاحة: |
https://doi.org/10.1371/journal.pone.0293332.t002
https://figshare.com/articles/dataset/Top_10_important_features_for_Random_Forest_prediction_model_/24491570 |
| Rights: |
CC BY 4.0 |
| رقم الانضمام: |
edsbas.1B3D96DA |
| قاعدة البيانات: |
BASE |