hackometric

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1
Hackometric is when you have no idea what you're doing but you throw every stupid algorithm at a problem until something works, like magic.
My boss said, 'Just make it work!' So I used 12 algorithms. Now it works, but I don't know why.
I put a neural network in a spreadsheet. It worked. I don't know how.
I used 30 models to guess the answer. It was right. I don't know why.
2
Hackometric is like putting a dog in a math problem and hoping it bites the answer.
I used 5 models and a random number generator. It gave me a result. I didn't check it.
I ran 10 algorithms and called it a day. No one asked why.
I took a guess, ran a model, and said, 'That's good enough.'
3
Hackometric is when you have no clue what theory is, but you slap on a bunch of algorithms and call it a plan.
I just threw everything I had at the problem. It worked. I don't know how.
I added 20 models without asking why. It worked. I didn't care.
I used 8 different machine learning tools. It worked. I didn't even know what they were.
4
Hackometric is like trying to win a fight with a bag of random stuff and a guess.
I used 7 models and a guess. It worked. I didn't know why.
I added 4 algorithms. It worked. I didn't check.
I used a random forest, a neural net, and a spreadsheet. It worked. I'm confused.
5
Hackometric is when you don't know what you're doing but you do it anyway, and somehow it works.
I put 30 models on the problem. It worked. I didn't know why.
I used 5 different algorithms. It worked. I didn't care.
I threw everything I had at the problem. It worked. I didn't know what I did.
6
Hackometric is like throwing spaghetti at the wall and hoping it sticks to the answer.
I used 10 models. It worked. I didn't know why.
I added 5 algorithms. It worked. I didn't check.
I used a spreadsheet, a neural net, and a guess. It worked. I didn't know what I did.
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