Fig. B.4
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Rising light-curve scenario. Confusion matrix normalized on the precision of the random forest classifier trained on MONOCHROMATIC features. The dataset is composed of 250 light curves of each class (SNIa, SNII, SNIbc, SLSN, and TDE). The numbers represent the median score of 100 iterations of bootstrapping. These results were used to construct those shown in Figure 8.
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