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update readme
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README.md

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@@ -156,7 +156,7 @@ Confidence can be disabled by the `use_confidence` parameter of the predict meth
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The`model_weight` can be set for each model in the configuration file (default: 1). This is used to favor a certain
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model independently of a given class.
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`Trust` is based on the model's performance on a validation set. After training, we evaluate the Machine Learning models
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on a validation set for each class. If the `ensemble_type` is set to `wmv-f1`, the trust is calculated as $F1^6.25$.
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on a validation set for each class. If the `ensemble_type` is set to `wmv-f1`, the trust is calculated as F1-score $^{6.25}$.
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If the `ensemble_type` is set to `mv` (the default), the trust is set to 1 for all models.
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### Inconsistency resolution

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