Abstract: Class imbalance is a very challenging problem in data science, affecting the development of several application fields. This problem also plagues the automatic interpretation of remote ...

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Also: Discover the next Nvidia Due to the imbalance reflected ... as reflected in the Gini coefficient. The Gini coefficient is a single index measure that can be expressed on a scale of 0 to ...

But Gini scores alone can be misleading. An important metric is the inequality extraction ratio — a measure of how much an elite class extracts from the economy, relative to the maximum possible ...

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We construct an ADSR-Net for imbalanced medical image classification by stacking multiple ADSR modules. Additionally, DNNs typically adopt cross-entropy loss for parameter optimization, which ignores ...

The study used the Gini index, which measures how unevenly money is spread around.