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Is text preprocessing really all that necessary for NLP?
2 votes

It all depends on the quality of data. Due to old rule "Garbage in, garbage out" link , if you have bad quality data(data redundancy, unstructured data, too much memory, etc) your results won't be ...

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Is it normal to have the root mean squared error greater on the test dataset than on the training dataset?
0 votes

I am training a model and i am getting test results greater than train results. You don't give us too many details, but most probably it's underfitting. What could be the reason behind this? ...

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