Figure 9 | Scientific Reports

Figure 9

From: Utilization of temporal autoencoder for semi-supervised intracranial EEG clustering and classification

Figure 9The alternative text for this image may have been generated using AI.

Performance of the model on two datasets related to the cardinality of training data for kernel density estimates (KDE) classifier. The plot shows the area under the precision-recall curve (AUPRC) metrics. The picture shows that 100 training examples per class achieve good model performance while requiring a reasonable amount of training labels.

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