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by myopicgoat
2991 days ago
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This is a question of perspective, you can in fact just take it as a regression over the continuous 0-1 interval with loss |y-o(Xw)| where o is the sigmoid and could report that loss (in fact a package such as Sklearn will usually return the parameter values that minimise that loss, possibly with a penalty). If you want to use it as a classifier then you threshold the predictions. |
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