Hello, I am looking for someone who can generate the three different machine learning models using support vector machine (SVM), random forest (RF), and XGBoost (XGB) for my drug discovery project. The database contains around 5100 inhibitors. The generated models should be cross verified by, 10-fold cross-validation, Y-randomization verification, and test set so as to ensure that the established model by the training set had better performance and good generalization ability. A research paper is attached for your reference.
29 фрилансеров(-а) готовы выполнить эту работу в среднем за ₹13390
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