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Building classifiers with biased classes: AdaSampling comes to the rescue
July 20, 2022, 4:39 p.m. | Elena Jolkver
Towards Data Science - Medium towardsdatascience.com
Building classifiers with biased classes
AdaSampling comes to the rescue
Leaving 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 …
building classification-algorithms classifiers data cleaning
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