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Fig. 3. (Color online) Comparison between a test sample in dataset {E} and the predicted result by machine learning for (a) bath parameters {ε, V}, (b) real-axis hybridization functions, where the shaded area represents the test function, and (c) Matsubara hybridization functions. The feature used is the real-axis hybridization function. Gray color represents target values. Blue, orange, and green colors represent models trained with 500, 1000, and 8000 data sets, respectively. As the number of samples increases, the prediction approaches the exact one.
New Phys.: Sae Mulli 2024;74:1072~1079 https://doi.org/10.3938/NPSM.74.1072
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