The accuracy of my machine learning model (for classification) reduced after I selected only the important features. I'm confused why the accuracy didn't improve instead

Hello everyone. As per title, I tried to do supervised learning using random forest. After determining the best features, I tried to apply it again with the hope the accuracy will improve, but unfortunately it decreased instead. Is this possible?

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