This is a neat tool! I had too much fun identifying minimal titles, particularly my coming post "(YC S0000009)" with 99.3% probability of success and a 0% flag probability.
Predicting Hacker News article success with neural networks and TensorFlow
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Re: Predicting Hacker News article success with neural networks and TensorFlow
#12"Rust Rust Rust Rust Rust" seems to be the optimal number of Rusts with 97.6% success probability. EDIT: This beats it with 99.4%: " Rust Rust Rust Rust Rust "
You can do even better - "YC PG Rust Rust Rust" gets 99.7%!
Re: Predicting Hacker News article success with neural networks and TensorFlow
#13I absolutely love that the author includes both a live demo and an explanation of how they did it! Bravo.
Although, something seems odd when whitespace effects the score. It may have been a good idea to normalize the whitespace.
Re: Predicting Hacker News article success with neural networks and TensorFlow
#14"Rust Rust Rust Rust Rust" seems to be the optimal number of Rusts with 97.6% success probability. EDIT: This beats it with 99.4%: " Rust Rust Rust Rust Rust "
You can do even better - "YC PG Rust Rust Rust" gets 99.7%!
"YC YC YC YC YC" gets you 99.9%!!
edit: "YC YC YC YC YC YC" -> 100%
Re: Predicting Hacker News article success with neural networks and TensorFlow
#15Re: Predicting Hacker News article success with neural networks and TensorFlow
#16I see what you did there with your own title: https://imgur.com/a/SthQV
Re: Predicting Hacker News article success with neural networks and TensorFlow
#17"HN considered harmful"
34.1%
Re: Predicting Hacker News article success with neural networks and TensorFlow
#18Predicting the success of comments is way easier. Just lean left-wing for positive points and right-wing for negative points. I have been testing this myself for a while.
Re: Predicting Hacker News article success with neural networks and TensorFlow
#19"Predicting Hacker News article success with neural networks and TensorFlow" has success probability of 49.6%. I am wondering if OP tried several options to come up with this title.
Re: Predicting Hacker News article success with neural networks and TensorFlow
#20Predicting the success of comments is way easier. Just lean left-wing for positive points and right-wing for negative points. I have been testing this myself for a while.
Libertarian economic policy is typically right wing and it will very often get upvoted.
Libertarian social policy is left wing and will typically get upvoted.
I'd say if you want a better than random chance to have positive upvotes lean Libertarian not left. Except when the Libertarian view is left in which case you are doing both.
Also, please don't bring politics into a non-political story.