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"You are a married lady older than 32 who makes more than $52,000/year You're either a married, middle-aged lady ... or you use your phone like one." I am a m
by 11thEarlOfMar 11y ago
"You are a married lady older than 32 who makes more than $52,000/year
You're either a married, middle-aged lady ... or you use your phone like one."
I am a male (strike 1), 50+ (strike 2), Side business takes in more than $52k (strike 3).
I am married (Zillow for Mrs. Mar) and have 2 teen aged daughters (Instagram to follow them).
I'll give machine learning another decade /s.
- jimrandomh 11y agoI see no evidence that they used machine learning. If they had, this thread might be less full of people saying it did worse than random.
- spdustin 11y agoFrom the paper linked in TFA, scikit-learn's logistic regression model (a poorly named one, since it's used for classification rather than regression) is used as the classification model. Like with most machine learning endeavors, I've found that Johnny Five said it best: "More input!"
- vonmoltke 11y agoHuh? It got everything except your gender correct.
- 11thEarlOfMar 11y agoMissing the age by a generation and the income by multiples is not 'correct' IMHO.
- cpitman 11y agoThey only said they would guess over/under for each of those thresholds, so no, it was correct.
- 11thEarlOfMar 11y agoTrue. I skipped that. I'll pay more attention to the text going forward.
- deleted 11y ago[deleted]
- cgriswald 11y ago> There are 16 possible results, based on your gender (male/female), your age (over/under 32), your marital status (married/single) and your income (over/under $52,000). They weren't testing at that level of granularity.
- TheOtherHobbes 11y agoBased on the fact that the only app I have from the set is Google Maps, we're in the same group. Except I'm not married, and not a lady. Facebook has decided I'm a hispanic teenager based on my user profile. And then the industry wonders why ad blockers are exploding.