Fig. E.1
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Effect of training data sample size on the test data accuracy (upper plot) and test data log loss (bottom plot) of an XGBoost model trained to predict cluster detectability from n∗, τ, med(σϖ), and ρdata, as in Sect. 3.2. Red dashed lines, with corresponding labels at the top of the plot, show the size of the training sample as a fraction of the total number of clusters in HR23.
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