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Results tagged with supervised-learning
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user 24175
Supervised learning is the machine learning task of inferring a function from labeled training data. The training data consist of a set of training examples. In supervised learning, each example is a pair consisting of an input object (typically a vector) and a desired output value (also called the supervisory signal). A supervised learning algorithm analyzes the training data and produces an inferred function, which can be used for mapping new examples.
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Class imbalance in Supervised Machine Learning
There are many frameworks and approaches. This is a recurrent issue.
Examples:
Undersampling. Select a subsample of the sets of zeros such that it's size matches the set of ones. There is an obviou …
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