Hey everybody this is just a general question.
I have been reading up alot recently in data mining and have come across Threshold Selector using weka.
My first question, is Threshold Selector an actual classifier or an ensemble/wrapper?
From the internet I have the following statement, im just curios if anyone could dumb it down for me.
"A metaclassifier that selecting a mid-point threshold on the probability output by a Classifier. The midpoint threshold is set so that a given performance measure is optimized. Currently this is the F-measure. Performance is measured either on the training data, a hold-out set or using cross-validation. In addition, the probabilities returned by the base learner can have their range expanded so that the output probabilities will reside between 0 and 1 (this is useful if the scheme normally produces probabilities in a very narrow range)."
Oh and does this excist in Knime?
Thanks alot for reading, any help would be greatly appreciated Andy