Multivariate Time Series Imputation On Kdd
Metrics
MSE (10% missing)
Results
Performance results of various models on this benchmark
Model Name | MSE (10% missing) | Paper Title | Repository |
|---|---|---|---|
| MICE | 0.468 | Multiple imputation using chained equations: issues and guidance for practice | |
| GAN-2-stage | 0.355 | Multivariate Time Series Imputation with Generative Adversarial Networks | - |
| E^2GAN | 0.334 | E2GAN: End-to-End Generative Adversarial Network or Multivariate Time Series Imputation | - |
| GAIN | 0.378 | GAIN: Missing Data Imputation using Generative Adversarial Nets |
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