# Dynamic Ensemble Selection for EEG Signal Classification in Distributed Data Environments
## 3 Datasets and Experimental Results
** & **Recall** & **(Weig)** & **(Macro)** & **BAacc** & **Acc** \\ \hline
9 LT & Abstract level; sum; RF (10,gini) & 0.509 & 0.509 & 0.507 & 0.507 & 0.509 & 0.509 \\  & Measurement level; sum; RF (10,entropy) & 0.518 & 0.518 & 0.516 & 0.516 & 0.518 & 0.518 \\  & Unified groups; abstract level; RF (10,gini) & 0.509 & 0.509 & 0.507 & 0.507 & 0.509 & 0.509 \\  & Diverse groups, abstract level; RF (10,entropy) & 0.533 & 0.533 & 0.532 & 0.532 & 0.533 & 0.533 \\  & Unified groups; measurement level; RF (10,entropy) & 0.518 & 0.518 & 0.516 & 0.516 & 0.518 & 0.518 \\  & Diverse groups, measurement level; RF (10,entropy) & 0.525 & 0.524 & 0.522 & 0.522 & 0.524 & 0.524 \\  & Abstract level; sum; kNN (4) & 0.473 & 0.496 & 0.371 & 0.371 & 0.496 & 0.496 \\  & Measurement level; sum; kNN (5) & 0.454 & 0.454 & 0.454 & 0.454 & 0.454 & 0.454 \\  & Unified groups; abstract level; kNN (4) & 0.473 & 0.496 & 0.371 & 0.371 & 0.496 & 0.496 \\  & Diverse groups, abstract level; kNN (6) & 0.514 & 0.514 & 0.513 & 0.513 & 0.514 & 0.514 \\  & Unified groups; measurement level; kNN (5) & 0.454 & 0.454 & 0.454 & 0.454 & 0.454 & 0.454 \\  & Diverse groups, measurement level; kNN (5) & 0.51 & 0.51 & 0.507 & 0.507 & 0.51 & 0.51 \\  & Abstract level; sum; AdaBoost (100) & 0.565 & 0.565 & 0.565 & 0.565 & 0.565 & 0.565 \\  & Measurement level; sum; AdaBoost (100) & 0.535 & 0.534 & 0.533 & 0.533 & 0.534 & 0.534 \\  & Unified groups; abstract level; AdaBoost (100) & 0.565 & 0.565 & 0.565 & 0.565 & 0.565 & 0.565 \\  & Diverse groups; abstract level; AdaBoost (20) & 0.52 & 0.52 & 0.52 & 0.52 & 0.52 & 0.52 \\  & Unified groups, measurement level; AdaBoost (100) & 0.535 & 0.534 & 0.533 & 0.533 & 0.534 & 0.534 \\  & Diverse groups, measurement level; AdaBoost (50) & 0.589 & 0.586 & 0.583 & 0.583 & 0.586 & 0.586 \\  & Abstract level; sum; Gradient Boosting (10) & 0.535 & 0.534 & 0.533 & 0.533 & 0.534 & 0.534 \\  & Measurement level; sum; Gradient Boosting (20) & 0.519 & 0.519 & 0.517 & 0.517 & 0.519 & 0.519 \\  & Unified groups; abstract level; Gradient Boosting (20) & 0.535 & 0.534 & 0.533 & 0.533 & 0.534 & 0.534 \\  & Diverse groups, abstract level; Gradient Boosting (20) & 0.529 & 0.529 & 0.528 & 0.528 & 0.529 & 0.529 \\  & Unified groups, measurement level; Gradient Boosting (50) & 0.519 & 0.519 & 0.517 & 0.517 & 0.519 & 0.519 \\  & Diverse groups, measurement level; Gradient Boosting (20) & 0.566 & 0.565 & 0.564 & 0.564 & 0.565 & 0.565 \\  & Abstract level; sum; Logistic Regression & 0.578 & 0.577 & 0.576 & 0.576 & 0.577 & 0.577 \\  & Measurement level; sum; Logistic Regression & 0.574 & 0.574 & 0.572 & 0.572 & 0.574 & 0.574 \\  & Unified groups, abstract level; Logistic Regression & 0.578 & 0.577 & 0.576 & 0.576 & 0.577 & 0.577 \\  & Diverse groups, abstract level; Logistic Regression & 0.539 & 0.539 & 0.537 & 0.537 & 0.539 & 0.539 \\  & Unified groups; measurement level; Logistic Regression & 0.574 & 0.574 & 0.572 & 0.572 & 0.574 & 0.574 \\  & Diverse groups; measurement level; Logistic Regression & 0.51 & 0.51 & 0.51 & 0.51 & 0.51 & 0.51 \\ \hline
11 LT & Abstract level; sum; RF (10,entropy) & 0.517 & 0.516 & 0.51 & 0.51 & 0.516 & 0.516 \\  & Measurement level; sum; RF (10,gini) & 0.497 & 0.497 & 0.495 & 0.495 & 0.497 & 0.497 \\  & Unified groups; abstract level; RF (10,entropy) & 0.517 & 0.516 & 0.51 & 0.51 & 0.516 & 0.516 \\  & Diverse groups, abstract level; RF (10,entropy) & 0.533 & 0.533 & 0.532 & 0.532 & 0.533 & 0.533 \\  & Unified groups, measurement level; RF (10,gini) & 0.497 & 0.497 & 0.495 & 0.495 & 0.497 & 0.497 \\  & Diverse groups, measurement level; RF (50,entropy) & 0.521 & 0.519 & 0.51 & 0.51 & 0.519 & 0.519 \\  & Abstract level; sum; kNN (4) & 0.539 & 0.506 & 0.377 & 0.377 & 0.506 & 0.506 \\  & Measurement level; sum; kNN (7) & 0.451 & 0.454 & 0.445 & 0.445 & 0.454 & 0.454 \\  & Unified groups, abstract level; kNN (4) & 0.539 & 0.506 & 0.377 & 0.377 & 0.506 & 0.506 \\  & Diverse groups, abstract level; kNN (7) & 0.524 & 0.524 & 0.521 & 0.521 & 0.524 & 0.524 \\  & Unified groups, measurement level; kNN (7) & 0.451 & 0.454 & 0.445 & 0.445 & 0.454 & 0.454 \\  & Diverse groups, measurement level; kNN (4) & 0.503 & 0.503 & 0.502 & 0.502 & 0.503 & 0.503 \\  & Abstract level; sum; AdaBoost (10) & 0.579 & 0.577 & 0.574 & 0.574 & 0.577 & 0.577 \\  & Diverse groups, abstract level; AdaBoost (10) & 0.522 & 0.522 & 0.522 & 0.522 & 0.522 & 0.522 \\  & Unified groups, measurement level; AdaBoost (20) & 0.522 & 0.522 & 0.522 & 0.522 & 0.522 & 0.522 \\  & Unified groups, measurement level; AdaBoost (20) & 0.569 & 0.597 & 0.594 & 0.594 & 0.597 & 0.597 \\  & Diverse groups, measurement level; AdaBoost (20) & 0.579 & 0.576 & 0.573 & 0.573 & 0.576 & 0.576 \\  & Abstract level; sum; Gradient Boosting (10) & 0.528 & 0.528 & 0.527 & 0.527 & 0.528 & 0.528 \\  & Measurement level; sum; Gradient Boosting (50) & 0.527 & 0.526 & 0.526 & 0.526 & 0.526 & 0.526 \\  & Unified groups, abstract level; Gradient Boosting (10) & 0.528 & 0.528 & 0.527 & 0.527 & 0.528 & 0.528 \\  & Diverse groups, abstract level; Gradient Boosting (200) & 0.529 & 0.529 & 0.529 & 0.529 & 0.529 & 0.529 \\  & Unified groups, measurement level; Gradient Boosting (50) & 0.527 & 0.526 & 0.526 & 0.526 & 0.526 & 0.526 \\  & Unified groups, measurement level; Gradient Boosting (50) & 0.528 & 0.528 & 0.527 & 0.527 & 0.528 & 0.528 \\resents the ensemble strategy combined with the fusion level (e.g., Sum-Abstract, Unified-Measurement, Diverse-Measurement), while the y-axis lists the classifiers evaluated (Gradient Boosting, AdaBoost, Random Forest, Logistic Regression, kNN).