"Comparing training and testing accuracy to check over-fitting."

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I have designed a random forest classification model with splitting the dataset into training and testing in a ratio of 0.8:0.2. I have validated the model. I got accuracy for the testing dataset. I want to check the over-fitting problem of my model. So, I want to compare accuracy for both training and testing data set. How to retrieve accuracy for both training and testing dataset from my model.