COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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One Vs Rest
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One vs One
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All vs One
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One vs Other
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Detailed explanation-1: -One-vs-One (OvO for short) is another heuristic method for using binary classification algorithms for multi-class classification. Like one-vs-rest, one-vs-one splits a multi-class classification dataset into binary classification problems.
Detailed explanation-2: -One-Vs-Rest Classification Model for Multi-Class Classification. Also known as one-vs-all, the one-vs-rest model is a defined heuristic method that leverages a binary classification algorithm for multi-class classifications. The technique involves splitting a multi-class dataset into multiple sets of binary problems.
Detailed explanation-3: -Also known as one-vs-all, this strategy consists in fitting one classifier per class. For each classifier, the class is fitted against all the other classes. In addition to its computational efficiency (only n classes classifiers are needed), one advantage of this approach is its interpretability.
Detailed explanation-4: -In general, One-vs-one is more expensive than One-vs-all and it should only be adopted when a comparison of the complete data set is not preferred. Whereas One-vs-all is probably the most common strategy and it is widely adopted in most of the machine learning algorithms provided by the scikit-learn library in Python.