What Kagglers Are Using for Text Classification

Re:What Kagglers Are Using for Text Classification by rundigen12 on Thursday December 27, 2018 @01:54PM (#18771560)

I was really hoping to see a summary comparison of the performance(s) of the different models at the end, e.g. accuracy vs. complexity vs. execution time, etc.

Here's a summary from the end of each section...

1. TextCNN: "This kernel scored around 0.661 on the public leaderboard."

2. BiDirectional RNN: 0.671

3. Attention Models: 0.682

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Re:What Kagglers Are Using for Text Classification by ykevinator on Friday December 28, 2018 @06:51AM (#18776242)

Thank you, that's exactly what I was scrolling through the bickering to find.

[ Parent | on HN ]