GAIN

Reported on 2 benchmarks across 2 tasks · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Time Series1 result

ImputationonKDD CUP Challenge 2018
MSE (10% missing)· 2018-06-07
0.378
best: 0.334 (E^2GAN)
SOTA
GAIN: Missing Data Imputation using Generative Adversarial Nets arXiv:1806.02920

Methodology1 result

Feature EngineeringonKDD CUP Challenge 2018
MSE (10% missing)· 2018-06-07
0.378
best: 0.334 (E^2GAN)
SOTA
GAIN: Missing Data Imputation using Generative Adversarial Nets arXiv:1806.02920