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MCU-Net: A framework towards uncertainty representations for decision support system patient referrals in healthcare contexts (KDD 2020, ICML UDL 2020)

License: MIT License

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Checking the error for the length of MC samples

Hi, Nabeel,
Could you please explain what the following lines do? I am not clear what '13' represents here. There are six Monte Carlo samples for which you evaluate the uncertainty (3, 5, 10, 15, 20, 30). But what is 13 here?

results = np.zeros((13, len(MC_stochastic)))
for idx,samples  in enumerate(MC_stochastic):
    results[:, idx] = uncertainty[str(samples)][1:14]

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