Optimization Options

Hi, I’m trying to do an analysis on binary, very rare events (0.3% probability of occurrence). I’ve tried logistic and random forest predictors, and they both predict 0 events with 99.7% accuracy. I’m assuming the algorithms are optimizing on accuracy. Are there other options to optimize? The two things I care about are:

1.

of true positives (more the merrier)

1. True positive/positive ratio (closer to 1 the better)

I don’t really care about accuracy all that much.