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I split a dataset 75%(Training) and 25%(Testing). I pre-processed the data on training data. Then, I split the training data again (75%-25%) and perform Naive Bayes Classification. I saved the model as a result of training data.
However, if I want to test whether my model is applicable or not, I believe I need to run my model on the 25% which I kept as the test data initially.
Means, for 25% of initial testing data, I will perform pre-processing same as training, then, I retrieve the pre-processed test data and apply the model which I saved from the training data.
Could you please advise if this is correct or am I doing wrong here?