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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.
