Building classifiers with biased classes | by Elena Jolkver | Jul, 2022
AdaSampling comes to the rescueLeaving the world of Kaggle and entering the Real World, a data scientist is frequently (read: always) faced with the problem of dirty data. Besides missing values, different units, duplicates, and whatsoever, a rather common challenge for classification tasks is the noise in data labels. And while some noise problems can be cleaned up by the analyst, others are inherently noisy or imprecise by nature.Consider the following task: predict whether a particular protein binds to a certain DNA…