Why Accuracy Is Not A Good Metric For Imbalanced Data

Classification, In Machine Learning, is a supervised learning concept where data points are classified into different classes. For example, determining if an email is “spam” or “not spam” and determining the blood type of a patient.

Machine Learning Classification is generally divided into three categories:

• Binary Classification
• Multi-class Classification
• Multi-label Classification

What are Imbalanced classes or data?

Imbalanced data refers to a problem where the distribution of examples across the known classes is biased (One class has more instances than …

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