|
|
|
|
|
|
by Der_Einzige
2060 days ago
|
|
|
2 things 1. Why was this formed as classification instead of as regression? Seems much more like a regression problem (predict how many upvotes you will get given a reddit post) 2. Seems like it could have been effective with better pre-training. I'd love to see the author rerun the experiments with the likes of GPT-2 or other pre-trained models vectorizing the text first. |
|
|
Otherwise you will probably have a none-size fits all algorithm.
Seems like an incremental decison tree problem with weights around karma and time of day.