weighted least squares weak classifier when you classify an example with a weak classifier, what is the result in a negative value? why is the weighting of a weak classifier a binary value? what to do when your weak classifier is almost identical what should weak classifier be called what is the classifying function in ada boost what would you find when you use the weighted least squares what to do when a weak classifier is almost identical what is the weakest classifier can you test weighted least squares for ada booster when weighted least squares is almost identical in ada boost what can i do why is the weighted linear least squares solution identical how to find the absolute confidence between a weak classifier and the weighted least squares what should i test when weak classifiers are almost identical why is a weak classifier almost identical why is a weak classifier a binary value what is the result of the weighted least squares why is an ada booster a weak classifier what is the difference between a weak classifier and a strong classifier does ada booster weight weight weak classifiers