View Machine Learning Imbalanced Dataset PNG. What are the types of machine learning techniques? An imbalanced dataset is defined by great differences in the distribution of the classes in the dataset.
This, as a result, makes a model seem naïve in its predictions, regardless of achieving high accuracy scores. See full list on section.io In this and the following sections we will briefly introduce the.
We have explored a few of the possible techniques to carry out this correction.
Altering the training balance a common practice for dealing with imbalanced data sets is to rebalance them artificially. Data fuels machine learning algorithms. We will look at a handful of them. See full list on section.io
