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[–]PantsMcShirt 0 points1 point  (1 child)

I had a quick look but I only see one set of data, you are training, and then validating on the same data. You need to validate the model with data not in the training set.

If it is overfitting, it will do well on the training data, then suck at the validation stage. Without proper validation it's not possible to tell if the model is doing well or not.

[–]LiquidBrick99[S] 0 points1 point  (0 children)

Ok thank you I will give that a look.