feature engineering question

Hey Guys, I am a newbie to Kaggle and machine learning. I have a question about feature engineering for the Titanic problem. The features I thought should have returned a higher value, like age less than 6, or fare more than 50, are actually less important than features like age times fare, or fare times gender… Quite confused about what is the right logic of choosing the right features. Is it just a matter of guessing round? Making random attempts without thinking about the rationale behind it?? Could someone point me to the right direction plz? Thanks! Liang

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