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Misclassification Rate

Misclassification rate is a machine-learning metric that denotes the percentage of erroneous observations made by any classification system. The formula is as follows: Misclassification Rate

Machine Learning

As a branch of artificial intelligence, machine learning is basically an algorithm that keeps fine-tuning itself and grows more competent at performing its job without

Majority Class

Majority Class is a term that refers to a class or segment with the maximum number of instances or observations in a dataset. For instance,

Model

Machine Learning model is the end result that happens after an ML algorithm processes the sample data it was fed during the training phase. When

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