Imputation on UCI localization data

Metric: MAE (10% missing) (lower is better)

LeaderboardDataset

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#	Model↕	MAE (10% missing)▲	Extra Data	Paper	Date↕	Code
1	BRITS	0.219	No	BRITS: Bidirectional Recurrent Imputation for Ti...	2018-05-27	Code
2	M-RNN	0.248	No	Estimating Missing Data in Temporal Data Streams...	2017-11-23	Code
3	ImputeTS	0.363	No	-	-	Code
4	MICE	0.477	No	-	-	Code
5	Matrix Factorization (MF)	0.879	No	-	-	-

#1BRITSSOTA
0.219
MAE (10% missing)· 2018-05-27
BRITS: Bidirectional Recurrent Imputation for Time Series Code
#2M-RNNSOTA
0.248
MAE (10% missing)· 2017-11-23
Estimating Missing Data in Temporal Data Streams Using Multi-directional Recurrent Neural Networks Code
#3ImputeTS
0.363
MAE (10% missing)
No paperCode
#4MICE
0.477
MAE (10% missing)
No paperCode
#5Matrix Factorization (MF)
0.879
MAE (10% missing)
No paper