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FAQ.md
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FAQ.md
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@ -3468,15 +3468,15 @@ The message classifier calculates the probability a message belongs in a folder
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There are two options in the miscellaneous settings which control if a message will be automatically moved into a folder,
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There are two options in the miscellaneous settings which control if a message will be automatically moved into a folder,
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provided that auto classification is enabled for the folder:
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provided that auto classification is enabled for the folder:
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* *Minimum class probability*: a message will only be moved when the confidence it belongs in a folder is greater than this value (default 20 %)
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* *Minimum class probability*: a message will only be moved when the confidence it belongs in a folder is greater than this value (default 15 %)
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* *Minimum class difference*: a message will only be moved when the difference in confidence between one class and the next most likely class is greater than this value (default 50 %)
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* *Minimum class difference*: a message will only be moved when the difference in confidence between one class and the next most likely class is greater than this value (default 50 %)
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Both conditions must be satisfied before a message will be moved.
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Both conditions must be satisfied before a message will be moved.
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Considering the defaults option values:
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Considering the default option values:
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* Apples 40 % and bananas 30 % would be disregarded because the difference of 25 % is below the minimum of 50 %
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* Apples 40 % and bananas 30 % would be disregarded because the difference of 25 % is below the minimum of 50 %
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* Apples 15 % and bananas 5 % would be disregarded because the probability for apples is below the minimum of 20 %
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* Apples 10 % and bananas 5 % would be disregarded because the probability for apples is below the minimum of 15 %
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* Apples 50 % and bananas 20 % would result in selecting apples
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* Apples 50 % and bananas 20 % would result in selecting apples
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Classification is optimized to use as little resources as possible, but will inevitably use some extra battery power.
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Classification is optimized to use as little resources as possible, but will inevitably use some extra battery power.
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