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Table 3 Statistical comparison of forecasting models

From: Public warning systems for forecasting ambient ozone pollution in Kuwait

  Persistence Time Series Modeling Fuzzy Modeling
AL-JAHRA
Dataset1 (Episodes = 2) RMSE 0.999 0.855 0.865
IA 0.701 0.704 0.720
Correct Prediction 0 0 1
False Positive 2 2 0
Dataset2 (Episodes = 9) RMSE 1.149 0.983 0.966
IA 0.574 0.554 0.585
Correct Prediction 1 1 1
False Positive 8 6 3
Dataset3 (Episodes = 3) RMSE 1.244 1.040 1.035
IA 0.479 0.500 0.529
Correct Prediction 0 0 0
False Positive 3 3 2
Dataset4 (Episodes = 15) RMSE 1.152 0.991 0.926
IA 0.568 0.529 0.655
Correct Prediction 2 2 3
False Positive 11 7 6
AL-MANSOURIYA
Dataset1 (Episodes = 25) RMSE 0.793 0.885 0.785
IA 0.822 0.414 0.758
Correct Prediction 15 1 1
False Positive 9 5 0
Dataset2 (Episodes = 0) RMSE 0.941 0.9154 0.861
IA 0.741 0.3891 0.765
Correct Prediction 0 0 0
False Positive 0 0 0
AL-RIGGA
Dataset1 (Episodes = 12) RMSE 0.991 0.802 0.801
IA 0.693 0.701 0.712
Correct Prediction 5 2 1
False Positive 7 5 2
Dataset2 (Episodes = 0) RMSE 1.090 0.862 0.850
IA 0.643 0.574 0.662
Correct prediction 0 0 0
  False Positive 0 0 0