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Comparing the Accuracy and Developed Models for Predicting the Confrontation Naming of the Elderly in South Korea using Weighted Random Forest, Random Forest, and Support Vector Regression

机译：使用加权随机森林，随机林和支持向量回归预测韩国老年人对抗命名的准确性和开发模型

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Haewon Byeon;
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年度 2021
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机译：图7：具有加权准确性和F1的箱子图，用于理论与旋转仪和旋转仪系列的理论分类，使用最近的邻居（NN），决策树（DT），随机森林（RF），多层植物（MLP）和支持向量机（SVM）分类器。

Comparing the Accuracy and Developed Models for Predicting the Confrontation Naming of the Elderly in South Korea using Weighted Random Forest, Random Forest, and Support Vector Regression

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