Brain Journal-Automatic Anthropometric System Development Using Machine Learning-Figure 5. Flowchart Of Data Classification

Long The Nguyen & Huong Thu Nguyen
The Random Forest is a powerful classification method because of the following. First, errors are minimized as a result of a random forest, synthesizing through training (learner). The second, random choice at every stage in the Random Forest will reduce the correlation between the learners in the synthesis of the results. In addition, we also found that the total error of layered forest trees depends on their individual errors in forest trees, as well as...
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