Logistic regression - Wikipedia
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2026-07-25 10:03:40
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划选高亮2026-07-25 13:24:40
原文高亮摘录
“log loss can be interpreted as the "surprisal" of the actual outcome”
Whisper 随想笔记
That makes sense, but doesn't that mean perfect predictions are impossible in practice?
划选高亮2026-07-25 13:15:40
原文高亮摘录
“log loss can be interpreted as the "surprisal" of the actual outcome”
Whisper 随想笔记
So it's basically measuring how shocked the model is when it gets the answer wrong.
划选高亮2026-07-25 10:21:40
原文高亮摘录
“models the log-odds of an event as a linear combination of one or more independent variables”
Whisper 随想笔记
I always mix up logit and probit, this clears it up a bit.
划选高亮2026-07-25 10:12:40
原文高亮摘录
“models the log-odds of an event as a linear combination of one or more independent variables”
Whisper 随想笔记
wait, log-odds just means log of the odds ratio, right?
划选高亮2026-07-25 10:03:40
原文高亮摘录
“models the log-odds of an event as a linear combination of one or more independent variables”
Whisper 随想笔记
so it's basically a linear model but for probabilities, neat.
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