2 天前 - … , Random Forest, and Decision Tree using WEKA software to … The study's findings
revealed that Decision Tree had an … decision tree-based algorithm requires developing a tree …

2 天前 - … The inductive decision trees algorithm used in this work was the C4.5 algorithm.
The C4. algorithm is an updated commercial version of the C4.5 algorithm (Quinlan, 1993). …

2 天前 - … of GA with Gradient Boosting Decision Tree exhibits the best results (R 2 … trees
constructs each individual decision tree in a top-down manner, building each subsequent tree to …

2 天前 - … , the study uses Decision Tree Analysis and risk Expected … Despite higher initial
costs, Decision Tree Analysis shows … a comprehensive evaluation to inform decision-making in …

2 天前 - … We found that gradient-boosted decision trees showed the best performances for
electrocorticographic recordings, while Wiener filters were optimal for subthalamic signals. …

2 天前 - … Therefore, a decision tree classification algorithm is … MATLAB simulation shows
that the decision tree classification … Keywords: simulation theory· Decision tree classification …

2 天前 - … Decision Tree Model Decision Tree menunjukkan performa yang baik dengan
precision 98.5%, recall 42.7%, F1-score 59.6%, dan akurasi 97.71%. Model ini efektif dalam …

2 天前 - … Decision trees are used to meticulously analyze the … performance, the decision tree
outperforms other algorithms in … The decision tree analysis of 195 participants underscores …

2 天前 - … It shows that combining tree-based automated feature … as crucial factors in relocation
decision-making, underlining … , and future elements in relocation decisions. By effectively …

2 天前 - … Traditional decision tree induction methods often rely on … multiple trees, there is
still room for improvement in tree … genetic algorithms to evolve tree structures dynamically. The …