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. 2026 Jan 30;20:1644480. doi: 10.3389/fnins.2026.1644480

Figure 2.

Diagram featuring a star-like arrangement with lines connecting to a central point labeled "SVM." Other labels at the line ends include "DenseNet," "CNN," "Bayes," "ResNet," "MP," "LR," "LDS," "FFN," and "ELM," representing different machine learning models or algorithms.

A network geometry diagram illustrates the outcomes of accuracy of the network meta-analysis involving direct comparisons of different algorithms. The thickness of the lines corresponds to the number of direct comparisons between each pair of interventions (LR, logistic regression; MP, multilayer perceptron; MCI, mild cognitive impairment; SVM, simple vector machine; LDS, low density separation; ELM, extreme learning machine; FFR, feed forward network; CNN, convolutional neural network).