Prediction of Anti-Breast Cancer Drugs Activity Based on Bayesian Optimization Random Forest

Author:

Zhao Yiran1,Xu Houbao1

Affiliation:

1. Beijing Institute of Technology,Beijing,P. R. China,100081

Publisher

IEEE

Reference12 articles.

1. Remote sensing retrieval of ur-ban lake DOC concentration based on optimized random forest algorithm;li;Journal of Zhengzhou University (Engineering Science),2022

2. Relationship modeling on quantitative structure-inhibitive effi-ciency of imidazoline inhibitors by combining random forest and multiple linear regression;liu;Chemical Engineering of Oil & Gas,2019

3. Advantages of the mean absolute error (MAE) over the root mean square error (RMSE);willmott;assessing average model performance Climate Research,2005

4. Prediction for TBM penetration rate using four hyperparameter optimization meth-ods and random forest model;zhang;Journal of Basic Science and Engineering,2021

5. Quantitative prediction model of ERa biological activity based on support vector re-gression;mei;2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC),0

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