Thanks, Emile-- although I'm not sure I was completely clear about my objective. What I really meant is that is there a way (via machine learning) to give the computer a list of rules and exceptions, and then have it predict based on these rules the ionization energy. Ultimately I'm pretty interested in the idea of building a program that could predict the expected result of a chemical reaction, but that's a huge project, so I wanted to start with something much, much, much smaller and easier.
So I don't really want to manually input ionization energy, atomic radius size, etc, since I'm not sure how much that would help towards the bigger goal. For this project, I already have the ~15 rules that describe trends on the periodic table. I want to write a program that, based on these rules (and the few exceptions to them), could predict the inputs that I want. Does this make sense?
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