@hbagchi wrote:
I found the urban sound challenge an interesting problem to learn how to work with sound samples. It also consists of a decently sized dataset which makes it feel like a real problem.
I have been working with it for the past few weeks and I have an interesting observation. In spite of trying very hard to increase my accuracy score using feed forward NN I am not able to break the 60% mark. Today I tried splitting the training set to create a test set instead of using the provided test set and using it I got an accuracy score of 90%.
How can we explain this?
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