Given the complexity of the ruleset my model was entirely too simple. I assumed that higher stats are always better, and that the probability of success was proportional to #success|stat / #entries|stat (with an additional pseudo count each for success and failure to reduce overfitting).
Nevertheless, I got lucky in that I happened to end up in the region of optimal solutions
Given the complexity of the ruleset my model was entirely too simple. I assumed that higher stats are always better, and that the probability of success was proportional to #success|stat / #entries|stat (with an additional pseudo count each for success and failure to reduce overfitting).
Nevertheless, I got lucky in that I happened to end up in the region of optimal solutions
STR: 8⁄20
CON: 15⁄20
DEX: 13⁄20
INT: 13⁄20
WIS: 15⁄20
CHA: 8⁄20
The result of my adventure was