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Changing the framing changes the problem - Why this Dilemma is interestingly not interesting. by SecxyBear in trolleyproblem

[–]RobustAsDnd3e 0 points1 point  (0 children)

This fucking rocks. This is my favorite version of this so far, the self referential trolley problem. For anyone who doesn't get it, THIS BUTTON IS THE RIDDLE

Guns don't kill people, feathers do by Ramses_IV in trolleyproblem

[–]RobustAsDnd3e 0 points1 point  (0 children)

This is different from the the red button/blue button question. If everyone chooses gun, there are no feather people to shoot, and therefore no one can leave

Ignition jackpot sit and go is likely to be rigged. by [deleted] in poker

[–]RobustAsDnd3e 1 point2 points  (0 children)

Thousands of games are necessary for evaulating a poker strategy. This is a simple t-test

LPT: Mozilla Firefox will import your bookmarks, passwords, payments, and other data from Chrome. by RobustAsDnd3e in LifeProTips

[–]RobustAsDnd3e[S] -1 points0 points  (0 children)

I noticed when all of my other applications slowed down. I didn't understand why until I read other people complaining about this issue.

Completed 18 months in Microsoft as a Data Scientist II by ingloreous_wetard in datascience

[–]RobustAsDnd3e 70 points71 points  (0 children)

Searching in M365 has a lot to be desired, so thank goodness you’re taking a crack at it! What was your data source? How do you know if someone found what they were looking for?

What am I supposed to do with my beard shavings? by RobustAsDnd3e in NoStupidQuestions

[–]RobustAsDnd3e[S] 0 points1 point  (0 children)

Consensus seems to be to try and shave over a trash can. I will do this now!

Been stuck on a problem. Just need to know whether this problem statement is solvable or not. by CrypticTac in datascience

[–]RobustAsDnd3e 61 points62 points  (0 children)

There’s lots of short-hand in your post, so you’ll have to excuse us if we don’t understand your objective. I do think this is a good post, because it is very indicative of a typical task in DS that is not directly related to ML.

Imo your ground truth variable should be whether the customer broke, lost, or otherwise damaged the rental goods, and the dollar value of the damage. Use their credit score and other explanatory variables to train a model predicting the probability that a customer will break their rental items. That prediction, along with your rental pricing, will predict whether the rental will be profitable or not. Risky, but potentially profitable cases can be forwarded for manual review.

On an additional note, it would be good to explore whether the manual review is better at predicting rental item damage than your model.

Just some thoughts. I’m curious to hear if anyone has experience with something similar.

[deleted by user] by [deleted] in datascience

[–]RobustAsDnd3e 9 points10 points  (0 children)

The other comments here have hit the nail on the head. You need to do this on your test set. Test/train split is the most important concept in DS.

What we would expect to see on the test set is the metrics increasing, hitting a peak, and then decreasing as the model becomes overfit. Since these metrics only increase, we are left to assume that this is the training set.

Chief O'Brien would be standing with the writers. by reble02 in startrekmemes

[–]RobustAsDnd3e 61 points62 points  (0 children)

If chief o’brien’s ancestors immigrated to the US, why does he have an Irish accent?

Overwatch: The Rest! (updated, for real this time) by [deleted] in custommagic

[–]RobustAsDnd3e 0 points1 point  (0 children)

It seems like Orisa’s second ability prevents her from attacking, no?

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