If you do
levels(your_y_variable)
The first level is used as reference and the model predicts to probability of the second level. You can change the reference using relevel
.
문제
I'm using glm
function in R to predict, based on a response variable of type factor, that has the following levels positive, negative.
I want to know how to interpret the predictions when using predict
(with type=response), because they're probabilities, but of which level, positive or negative?
해결책
If you do
levels(your_y_variable)
The first level is used as reference and the model predicts to probability of the second level. You can change the reference using relevel
.