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.

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