Fig. 9: Error trends after feature value removal.
From: How to price a dataset: a deep learning framework for data monetization with alternative data
The trends observed after removing high- and low- value features under different training-to-testing ratios:(A) 70-30%, (B) 80-20%, and (C) 90-10%.
