OH MY GOD. WE DID IT
YESYSEYYSEYEYSEYESYYSEYSE!!!! CLICKBAIT EXISTS!!! AOC 0.59 ACHIEVED WITH SOME RANDOM MODEL SUPER HAPPY!!
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Every incline is followed by a cliff
Very frustrated, since the dataset still seems very noisy. DAMMIT! https://bit.ly/3eKdnzW
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Amazing progress!
I have decided to pull back a little on my notion of doing image clickbait classifier, and instead decided to focus on text for 3 reasons: 1) It's more straightforward 2) Datasets are more available 3) There is a lot of academic work done And after spending the whole day on it, I have developed a VERY good model. The trick, of course, was to write as little code as possible since it then forces you to write not only more optimal code but also to not reinvent the wheel. I'm actually super impressed by how the model is performing! Over 99.5% accuracy on the trained dataset with training taking just a couple of seconds. WOW! Results uploaded to github!
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Interesting
Had a short chat with Lex Fridman. Didn't realize that he was even more down-to-earth than he already seemed to be. Geometric Side Note: I would say Lex is a midpoint between me and Elon
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Clickbait Project Update
Did a little more (boring) manual data labeling, and then developed a ML model that slightly outperforms naive algorithms. While results aren't that impressive, I'm glad to have gone from 0 to ... epsilon (math joke intended) all on my own applying the recently acquired data science skills
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