Table 12 Hyperparameters for both ACS and NSTE-ACS tasks.

From: Selective classification with machine learning uncertainty estimates improves ACS prediction: a retrospective study in the prehospital setting

Catboost Hyperparameter

Space

learning_rate

[0.01, 0.1, 1.0]

depth

[1, 3, 6, 10]

subsample

[0.25, 0.5, 0.75]

iterations

[1000]

border_count

[128]

random_strength

[0]

bootstrap_type

[’Bernoulli’]

posterior_sampling

[True]

random_seed

[1419528]

nensemble

[10]

class_weights

[.,.]

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