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Dear All,
I would like to ask if the assumption that the sum of all contributions in a model is indicative of the predicted label. More specifically for a binary classification problem with classes 0 and 1, is it correct to assume that the sum of all contributions should be negative in case of a prediction of 0 and positive in case of a prediction of 1?
Another question is if its possible to apply a different threshold than 0.5 when using the predictor object.
Many thanks for the wonderful work that you are doing
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Dear All,
I would like to ask if the assumption that the sum of all contributions in a model is indicative of the predicted label. More specifically for a binary classification problem with classes 0 and 1, is it correct to assume that the sum of all contributions should be negative in case of a prediction of 0 and positive in case of a prediction of 1?
Another question is if its possible to apply a different threshold than 0.5 when using the predictor object.
Many thanks for the wonderful work that you are doing
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