Ah yes, regression

Comments

• Bougie_Birdie@lemmy.blahaj.zone ⁨1⁩ ⁨year⁩ ago

  It’s the line of best fit, not the line of good fit

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  • macarthur_park@lemmy.world ⁨1⁩ ⁨year⁩ ago

    Line of “least bad” fit

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  • merari42@lemmy.world ⁨1⁩ ⁨year⁩ ago

    Best Linear Unbiased Estimator

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• frezik@midwest.social ⁨1⁩ ⁨year⁩ ago

  From the best paper ever written by an undergrad

  pages.cs.wisc.edu/~kovar/fittedHall.gif

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  • Corr@lemm.ee ⁨1⁩ ⁨year⁩ ago

    That was a joy. Thank you for sharing

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    • TachyonTele@lemm.ee ⁨1⁩ ⁨year⁩ ago

      Check this shit out (fig 1).

      Lmao there’s so much gold. I got frustrated for him while reading it.

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      • -> View More Comments
    • credo@lemmy.world ⁨1⁩ ⁨year⁩ ago

      I had a hard time reading. Could not stop laughing enough to get past the fourth paragraph. Sides hurt, would not recommend.

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  • TheOakTree@lemm.ee ⁨1⁩ ⁨year⁩ ago

    Germanium My Ass

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  • CodexArcanum@lemmy.world ⁨1⁩ ⁨year⁩ ago

    Going into physics was the biggest mistake of my life. I should’ve declared CS. I still wouldn’t have any women, but at least I’d be rolling in cash.

    Honestly, there wasn’t all that much cash to roll in and there’s less all the time now. Plus, if you think busted equipment is bad, wait until I tell you about inheriting legacy code.

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    • frezik@midwest.social ⁨1⁩ ⁨year⁩ ago

      From what I heard, the guy actually did change to a CS major shortly after writing this.

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  • ornery_chemist@mander.xyz ⁨11⁩ ⁨months⁩ ago

    This relation between temperature and resistivity can be shown to be exponential in certain temperature regimes by waving your hands and chanting “to first order.”

    for some reason this is the line that got me

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• negativenull@lemmy.world ⁨1⁩ ⁨year⁩ ago

  One Line to rule them all
  One Line to find them
  One Line to bring them all
  and in the data bind them

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  • _stranger_@lemmy.world ⁨1⁩ ⁨year⁩ ago

    Image

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• Aurenkin@sh.itjust.works ⁨1⁩ ⁨year⁩ ago

  One line best-fits all

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• merari42@lemmy.world ⁨1⁩ ⁨year⁩ ago

  Machine Learning enthusiasts: Why settle for linear regression when you can deploy a Gradient-Boosted Random Deep Neural Net Surface Vector Cluster that consumes the entire power of Iceland to trace a perfect ∞-dimensional hypersphere around blue points? Overparameterization is the future!

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• reinei@lemmy.world ⁨1⁩ ⁨year⁩ ago

  Fine! I’ll use a second order polynomial to fit this instead. But that’s the last order I’m willing to go to!

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• prex@aussie.zone ⁨1⁩ ⁨year⁩ ago

  Always XKCD: https://xkcd.com/882/

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• badbytes@lemmy.world ⁨1⁩ ⁨year⁩ ago

  Oh, it’s trending up. That’s progress!

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• dream_weasel@sh.itjust.works ⁨1⁩ ⁨year⁩ ago

  R^2=0.03

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• Engywuck@lemm.ee ⁨1⁩ ⁨year⁩ ago

  Well, some students of mines actually put some figure like that in al lab report…

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  • Whelks_chance@lemmy.world ⁨1⁩ ⁨year⁩ ago

    You asked for a line, they gave you a line, what more can be asked for?

    We used to intentionally add wrong data to our datasets so we could circle it afterwards, declare it “outlying data” and gain the extra points for spotting and documenting it.

    I’m not bitter about my formal education, honest…

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    • Engywuck@lemm.ee ⁨1⁩ ⁨year⁩ ago

      We used to intentionally add wrong data to our datasets so we could circle it afterwards, declare it “outlying data” and gain the extra points for spotting and documenting it.

      Nice trick!

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• rustydrd@sh.itjust.works ⁨1⁩ ⁨year⁩ ago

  If you’re having proportion of explained variance problems I feel bad for you son
  I got ninety nine problems but a fit ain’t one

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• mindbleach@sh.itjust.works ⁨1⁩ ⁨year⁩ ago

  Gaussian: “Squint.”

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• Gork@lemm.ee ⁨1⁩ ⁨year⁩ ago

  Dat spread tho

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• MajorHavoc@programming.dev ⁨1⁩ ⁨year⁩ ago

  Looks like a successfullybtrained learning model, to me. (Sarcasm)

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• Flocklesscrow@lemm.ee ⁨1⁩ ⁨year⁩ ago

  I don’t know why you get credit at all; I do all the work. - Excel

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• collapse_already@lemmy.ml ⁨1⁩ ⁨year⁩ ago

  They’ll also try to linear fit even the most obvious exponential curve.

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• yesman@lemmy.world ⁨1⁩ ⁨year⁩ ago

  And if that doesn’t work, there’s always factor analysis.

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• troyunrau@lemmy.ca ⁨1⁩ ⁨year⁩ ago

  How can you argue with a word like "best’ anyway ;)

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• uis@lemm.ee ⁨1⁩ ⁨year⁩ ago

  Probably minimal surface ellipse.

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