Submitted by Beneficial_Law_5613 t3_z3ik75 in MachineLearning
Beneficial_Law_5613 OP t1_ixm3fpz wrote
Reply to comment by jellyfishwhisperer in [D] inference on GNN by Beneficial_Law_5613
Yes but in some cases when the car should keep the lane(or is keeping the lane/its not making any lane change) I get a 76% that it should make a lane change. Thats why I am confused, and for more information: Pred=model(data) PredS = nn.Sigmoid(Pred)*100 Print(PredS) # and here when I give the data of a car that is not making a lane change i get 76% for all its data points/frames. But being honest I don't know if this 76% is for lane changing or lane keeping.
jellyfishwhisperer t1_ixm5zz6 wrote
I'd make sure you know what outputs go with what prediction. Metrics can come after that.
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