# Changing threshold in logistic regression

Suppose that you have a logistic model and the predicted probabilities of a $1$ all are in $[0.2,0.3]$. So the predictions would be "0" based on a threshold of $0.5$. What would be a good threshold to choose?

• Why would you need a treshold? – kjetil b halvorsen May 12 '18 at 15:50
• So that I can get better predictions. Right now my model predicts all 0's. – user21478 May 12 '18 at 15:51
• Logistic regression predicts probabilities. If these are sufficient to solve your problem, you dont need a treshold. So what are you using the regression for? – Matthew Drury May 12 '18 at 16:21
• You will find much information here: stats.stackexchange.com/questions/127042/… – kjetil b halvorsen May 12 '18 at 16:33