CTR prediction Result

[franktseng0718]

I've tried ctr prediction with LR in this repo.
I also refered to some paper seeing their AUROC results on 1458, 3358, 3427, 3476 can easily surpass 90 even 95, but I only reached 8X. I also haved tuned many parameters but can't get better results.

Is anyone know how to get better results?

[hzn666]

This repo intends to study bidding strategies so the performance requirements of the click-through rate prediction model are not high. Regarding your question, I will answer you from the following aspects：

• The LR model in RLBid_EA/ctr/model.py is implemented using PyTorch. Strictly speaking, it is different from other LRs.
• The features used to construct the dataset may differ from other papers. For details, you can check RLBid_EA/ctr/ctr_data.py.

[franktseng0718]

Thanks for yor answer. I'm now trying run drlb's code, but I found that cannot converge after even 1000 episodes. The results of each episode fluctuate greatly, and most of them are even worse than LIN. The result I got is like this:

But the LIN's method's result is like: