Why best performance MSE does not align with final MSE?
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ANN model outputs
- The model stopped at epoch 22 with an MSE of 0.0242
- The best performance was observed at epoch 16 with an MSE of 0.031
- However, the final MSE between actual and predicted values is 0.0308
Shouldn't the third data align with the best performance (second) value ?
5 个评论
Mahi
2023-12-24
MSE at epoch 22 is better than the epoch 16. There is always a difference between training and testing error and accuracy values . Your final value of MSE is higher than your training mse .which I think is good.otherwise it may mean that your model is over fitted
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