A developer has built a machine learning model to predict the category of new stories. The possible values are politics, economics, business, health, science, and local news. The developer has tried several algorithms, but the model accuracy is quite high when evaluating the model using the training data but quite low when evaluating using test data. What would you recommend to correct this problem?

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