Viewing profile — savagedata
savagedata
HN member- Joined
- Tue, Feb 20, 2018, 4:58 AM UTC
- HN karma
- 63
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- 15 items
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About savagedata
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Recent public activity
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Comment #35347354
Was PayPal trying to verify your identity or that you know your recipient's identity (who's coincidentally your mother)? I'm surprised if PayPal expected you to know your recipient…
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Comment #35200813
I've found them at HEB and Randall's too!
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Comment #24461366
One of my favorite data science factoids is how "regression" (to return to a former state) came to mean "prediction of a continuous variable". In the late 1800s, Sir Francis Galton…
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Comment #22762495
Santa Clara County (South Bay Area) shares a dashboard with cases by age group and deaths by age group: https://www.sccgov.org/sites/phd/DiseaseInformation/novel-co...
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Comment #22151235
They approximated income, education, and ethnicity at the neighborhood-level (400-600 people) based on census data. That doesn't seem granular enough to me if the poorest families …
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Comment #22020755
The problem is with multiple-day recovery periods after the surgery. The later in the week your surgery is scheduled, the more likely you'll overlap with the weekend when care is h…
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Comment #22020647
> Choosing Monday for a surgery increases your chance of success 2 times The title seems poorly worded. The researchers studied mortality rate, not success of procedures. Since the…
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Comment #21855336
You're looking to test the difference in proportions. I entered 0.93 / 1000 / 0.91 / 650 into this online calculator [1] and got a p-value of 0.14 which means that the difference i…
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Comment #20833843
When Irma was making landfall two years ago, I did an animation demonstrating this for r/DataIsBeautiful. [1] The real hurricane path is in red with the forecast at each timestamp …
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Comment #19790426
There are always potential issues when a machine learning algorithm is applied over time. Example #1: Let's say that cancer rates are increasing over time and cameras are improving…
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Comment #19647321
Thank you for the useful feedback! I'll have to look up GUIDE trees. > This is interesting. I hear it was sqroot(total number of predictors). I was probably looking at the randomFo…
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Comment #19636202
I wrote this regression tree tutorial a few years back that might be a good complement to the tutorial above since it covers regression instead of classification and goes on to tal…
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Comment #16470329
I wonder if this study takes into account that, because some professions are skewed toward women and others are skewed toward men, on average women will interact more with women th…
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Comment #16469407
I couldn't find a more recent source (this is from 2013), but it claims that 12% of SF (San Francisco-San Mateo-Redwood City, CA) jobs are in "high tech" and 29% of San Jose-Sunnyv…
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Comment #16418016
This is my favorite statistics factoid! Regression/reversion to the mean is the idea that if you observe an extreme value and remeasure it, it will tend toward the average value on…