problem with stepwiseglm selected features pvalues

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Theo
Theo 2015-2-22
I'm using the following line for stepwiseglm
glm_model = stepwiseglm(chosen_features,idx,'constant','Distribution','binomial','upper','linear','PEnter',0.1, 'PRemove',0.15,'Criterion','aic');
I've set the Penter and Premove so that I can choose the pertinent features, however when the model is trained the feature pvalues are not within range, in fact I have PVALUES LIKE 0.3 in my model.
The only other thing I can think of is that there is 70% to 30% prevalence between my o and 1 classes.
Anyone has an idea?

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