Hi, No the data is not public, the data is from a vehicle and the 3 features are speed, longitudinal acceleration and lateral acceleration. from those features I should build a model to predict a continuous number. the network start to learn good in the first epochs but then it stabilized at a high loss value, it starts from a loss value of 90, it learn until the loss reaches 40 and then it stays there and start slowely to decrease and increase so if we plot it, it would show a sharp decrease at the first epochs and then it stays stuck at 40. both training and validation loss so that means that it fails to even overfit the data. I don’t know what’s the reason for this. furthermore I have tried techniques like random forest and it gave me better performance both on the train and validation although it overfitted the data but it still better than neural nets. the problem is that I must use neural nets for this task. I hope I explain to you well