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Machine Learning Notes

Just some terms and concepts about machine learning that I want to remember for later.

Binary Relevance

Binary relevance is a way of transforming a multi-label classification problem into a binary classification problem. A binary classification model is trained for each label, and then the union of positive labels are assigned to a new input.

Multi-Label Classification

Multi-label classification is when each example can have 0 or more labels. An example might be choosing words to describe an image. A picture of a dog might have the words “pet”, “dog”, and “mammal” all associated with it.

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Sam Stevens, 2020