Logistic regression - Wikipedia
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2026-07-25 10:03:40
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Text Highlight2026-07-25 13:24:40
Original Highlight Excerpt
"log loss can be interpreted as the "surprisal" of the actual outcome"
Whisper Note
That makes sense, but doesn't that mean perfect predictions are impossible in practice?
Text Highlight2026-07-25 13:15:40
Original Highlight Excerpt
"log loss can be interpreted as the "surprisal" of the actual outcome"
Whisper Note
So it's basically measuring how shocked the model is when it gets the answer wrong.
Text Highlight2026-07-25 10:21:40
Original Highlight Excerpt
"models the log-odds of an event as a linear combination of one or more independent variables"
Whisper Note
I always mix up logit and probit, this clears it up a bit.
Text Highlight2026-07-25 10:12:40
Original Highlight Excerpt
"models the log-odds of an event as a linear combination of one or more independent variables"
Whisper Note
wait, log-odds just means log of the odds ratio, right?
Text Highlight2026-07-25 10:03:40
Original Highlight Excerpt
"models the log-odds of an event as a linear combination of one or more independent variables"
Whisper Note
so it's basically a linear model but for probabilities, neat.
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