Errors in Predicted and Prediction Scores(Logistic Regression)

Hi @interpret-ml @richcaruana @Harsha-Nori ,

It is very fun using Interpret ML which is defining explanations in a very clean and smooth manner . But I have very few doubts . I am using Logistic Regression model explanation using Interpret ML . 1 .Getting into the visualisation part it is always showing a probability of greater then 0.5 (predicted Probability) for the whole test data (>0.5). 2 . When the predicted probability is >0.5 the label should be 1(True) where it is 0(False) . 3 . What one should understand by looking into the Actual and Predicted probabilities and Scores . 4 . Should we have to perform EDA on data before fitting it into the model? [Find the below images for your reference].