I am constructing a predictive model for a binary outcome, which gives me results in a "probability-prediction" fashion such as "0.3-YES" or "0.4-NO". The model is working perfectly.
My question here is what would be the probability that I should trust? is any value below 0.35 or above 0.65 confident enough?
I know this varies according to my data, but I am asking about the typically used value to consider my prediction as "confident". For example in hypothesis testing, a 0.05 p value is the most commonly used value for significance of the existence of a difference between populations. What is the typically used values for a probability that ranges between 0-1?