Search alternatives:
processes optimization » process optimization (Expand Search), process optimisation (Expand Search), property optimization (Expand Search)
age processes » care processes (Expand Search), change processes (Expand Search), damage processes (Expand Search)
linear age » linear range (Expand Search), linear rate (Expand Search), linear layer (Expand Search)
processes optimization » process optimization (Expand Search), process optimisation (Expand Search), property optimization (Expand Search)
age processes » care processes (Expand Search), change processes (Expand Search), damage processes (Expand Search)
linear age » linear range (Expand Search), linear rate (Expand Search), linear layer (Expand Search)
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Flowchart of this study.
Published 2024“…A total of 160 variables were included in the machine learning (ML) models, and feature scaling and one-hot encoding were employed for data processing. Ten supervised ML algorithms were utilized, namely logistic regression (LR), support vector machine (SVM), random forest (RF), Gaussian naive Bayes (GNB), linear discriminant analysis (LDA), k-nearest neighbors (KNN), gradient boosting machine (GBM), extreme gradient boosting (XGB), cat boost (CAT), and light gradient boosting machine (LGBM). …”