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Air quality

Benchmarks

Task NameDataset NameSOTA ResultTrend
Time series imputationair quality
MAE9.296
18
Air Quality RegressionAir Quality R-212 → R-69, NO2
Normalized MAE0.072
16
ImputationAir Quality (test)
MAE11.56
11
Time-series imputationAir-Quality 10% missing (test)
MAE0.137
10
Air Quality PredictionAir Quality
FC0.937
9
Time Series EditingAir quality
ΔDTW-1.84
9
Pollutant concentration estimationAir Quality R-69 → R-212 (NO2) (test)
Normalized RMSE9.8
8
Pollutant concentration estimationAir Quality R-69 → R-212 (O3) (test)
Normalized RMSE0.097
8
Pollutant concentration estimationAir Quality R-212 → R-69 (NO2) (test)
Normalized RMSE0.133
8
Pollutant concentration estimationAir Quality R-212 → R-69 (O3) (test)
Normalized RMSE0.087
8
Air Quality RegressionAir Quality Average across Scenarios
Normalized MAE7.8
8
Air Quality RegressionAir Quality R-69 → R-212, O3
MAE (Normalized)7.6
8
Air Quality RegressionAir Quality R-212 → R-69, O3
Normalized MAE7
8
Shift AttributionAir Quality 6h shift
Cosine Similarity0.98
8
Shift AttributionAir Quality 5h shift
Cosine Similarity0.98
8
Shift AttributionAir Quality 4h shift
Cosine Similarity0.98
8
Shift AttributionAir Quality 3h shift
Cosine Similarity0.98
8
Shift AttributionAir Quality 2h shift
Cosine Similarity0.98
8
Shift AttributionAir Quality 1h shift
Cosine Similarity0.97
8
Air quality predictionAir Quality checkerboard split, δ = 8°
R^20.39
8
Air quality predictionAir Quality (UAR 50/50 spatial split)
R^20.671
8
RegressionAir Quality
RMSE25.291
8
RegressionAir Quality
MAPE20.241
8
Optimal TransportAir Quality (6h shift)
Mean Transport Error1.17
7
Optimal TransportAir Quality (5h shift)
Mean Transport Error1.07
7
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