Unknown reasons lead to poor forecasting

[guantongpeng]

Hello, I used the code in GRUWithWindow (unchanged) to train on the UK-DALE data set for 20 epochs. The results on the test set and train set are as follows. Could you guide me what went wrong? If there have parameters need to be changed in the origin codes? My email is 1131618454@qq.com. Thank you!

test set result(house1): ============================== fridge =============================== Recall: 0.7859230869169807 Precision: 0.41266457466402895 Accuracy: 0.5248407643312102 F1 Score: 0.5411746287350153 Relative error in total energy: 0.3398331663195207 Mean absolute error(in Watts): 52.944642146264606 ============================== microwave =============================== Recall: 0.0 Precision: nan Accuracy: 0.9981933989577302 F1 Score: nan Relative error in total energy: 0.9001037868715199 Mean absolute error(in Watts): 46.835767427785726 ============================== dish_washer =============================== Recall: 0.3579124579124579 Precision: 0.6814102564102564 Accuracy: 0.9721598147075854 F1 Score: 0.4693156732891832 Relative error in total energy: 0.24204084224869085 Mean absolute error(in Watts): 28.23636657077036 ============================== kettle =============================== Recall: 1.0 Precision: 0.003705848291835553 Accuracy: 0.003705848291835553 F1 Score: 0.007384331371870313 Relative error in total energy: nan Mean absolute error(in Watts): nan ============================== washing_machine =============================== Recall: 1.0 Precision: 0.014002820426241881 Accuracy: 0.014002820426241881 F1 Score: 0.027618898378124264 Relative error in total energy: 0.6725896530269214 Mean absolute error(in Watts): 45.197667568786486

train set result: ============================== fridge =============================== Recall: 0.8107537507860929 Precision: 0.5566469799071689 Accuracy: 0.6309938560184221 F1 Score: 0.6600897844989165 Relative error in total energy: 0.22799071020177508 Mean absolute error(in Watts): 36.82874306859891 ============================== microwave =============================== Recall: 0.0 Precision: nan Accuracy: 0.9844665012406948 F1 Score: nan Relative error in total energy: 0.7793909745233287 Mean absolute error(in Watts): 26.616165471268648 ============================== dish_washer =============================== Recall: 0.28264518294729774 Precision: 0.34144363341443634 Accuracy: 0.9626699751861042 F1 Score: 0.3092745638200184 Relative error in total energy: 0.38819056995915857 Mean absolute error(in Watts): 28.17884941190762 ============================== kettle =============================== Recall: 1.0 Precision: 0.011702349402971742 Accuracy: 0.011702349402971742 F1 Score: 0.023133976924888156 Relative error in total energy: nan Mean absolute error(in Watts): nan ============================== washing_machine =============================== Recall: 1.0 Precision: 0.07855014895729891 Accuracy: 0.07855014895729891 F1 Score: 0.14565877911794495 Relative error in total energy: 0.2351688162192659 Mean absolute error(in Watts): 86.13717623592251

[qinxiaopang]

Have you fixed it? Share your methods pls.