How to interpret coefficients from a logistic regression Cross Validated

Logistic regression interpretation of coefficients. By using our site, you acknowledge that you have read and understand our Cookie Policy, Privacy Policy, and our Terms of Service. How to interpret coefficients from a logistic regression? I have the following probability function: $$z = B_0 + B_1X_1 + \dots + B_nX_n.$$ My model looks like. I understand what the intercept (3.92) means, but I'm now sure how to interpret 0.014. Are these still log odds, odd ratios, or can I now assert that for each incremental odds change is gender, females are 0.014 more likely to win than men. Basically, how am I to interpret the 0.014? Basically, I want to take the probability function and actually implement it in Java for a specific program that I'm writing, but I'm just not sure if I'm understanding the function correctly to implement it in Java.