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evaluation_metr_fc_3.log
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evaluation_metr_fc_3.log
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Evaluating model AGC on training data...
Statistics on training data:
RMSE: 8.2488
MAE: 4.4049
MAPE: 9.8384
Evaluating model AGC on testing data...
Statistics on testing data:
RMSE: 12.1752
MAE: 6.2184
MAPE: 12.4006
Evaluating model ASGC on training data...
Statistics on training data:
RMSE: 7.8913
MAE: 4.1524
MAPE: 9.0643
Evaluating model ASGC on testing data...
Statistics on testing data:
RMSE: 11.9170
MAE: 5.8346
MAPE: 11.2038
Evaluating model ASGCP on training data...
Statistics on training data:
RMSE: 11.1141
MAE: 6.7339
MAPE: 15.7683
Evaluating model ASGCP on testing data...
Statistics on testing data:
RMSE: 13.3904
MAE: 7.7790
MAPE: 17.8712
Evaluating model GC-l on training data...
Statistics on training data:
RMSE: 8.0482
MAE: 4.0877
MAPE: 8.6459
Evaluating model GC-l on testing data...
Statistics on testing data:
RMSE: 10.2989
MAE: 5.1263
MAPE: 10.3097
Evaluating model GC-nl on training data...
Statistics on training data:
RMSE: 8.6661
MAE: 4.4661
MAPE: 9.8858
Evaluating model GC-nl on testing data...
Statistics on testing data:
RMSE: 11.6882
MAE: 5.9290
MAPE: 12.0894
Evaluating model GlobalSLC on training data...
Statistics on training data:
RMSE: 128.0892
MAE: 6.4738
MAPE: 12.4677
Evaluating model GlobalSLC on testing data...
Statistics on testing data:
RMSE: 10.2444
MAE: 5.1497
MAPE: 10.1958
Evaluating model SGC-l on training data...
Statistics on training data:
RMSE: 8.1145
MAE: 4.0453
MAPE: 8.5290
Evaluating model SGC-l on testing data...
Statistics on testing data:
RMSE: 10.3951
MAE: 5.2377
MAPE: 10.4535
Evaluating model SGC-nl on training data...
Statistics on training data:
RMSE: 16.6387
MAE: 12.4493
MAPE: 27.7754
Evaluating model SGC-nl on testing data...
Statistics on testing data:
RMSE: 17.9985
MAE: 13.3680
MAPE: 30.3511