Hello! I try to apply Feature selection to my training set prior to training the learner but it seems to me like the FeatureSelector sizes the feature vector down to a set portion of the total it does so randomly instead of ranking the features and only cutting of those features with the lowest scores. Several trys left Features with value 1 in the system despite higher ranked features being present who got cut off. Any ideas?