Multivariate Time Series Imputation On Kdd

Metrics

MSE (10% missing)

Results

Performance results of various models on this benchmark

		Paper Title
MICE	0.468	Multiple imputation using chained equations: issues and guidance for practice
GAIN	0.378	GAIN: Missing Data Imputation using Generative Adversarial Nets
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

0 of 4 row(s) selected.

Multivariate Time Series Imputation On Kdd

Metrics

MSE (10% missing)

Results

Performance results of various models on this benchmark

		Paper Title
MICE	0.468	Multiple imputation using chained equations: issues and guidance for practice
GAIN	0.378	GAIN: Missing Data Imputation using Generative Adversarial Nets
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

0 of 4 row(s) selected.

Multivariate Time Series Imputation On Kdd | SOTA | HyperAI