Which classifier converges easily with less training data?
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The Caterpillar’s mushroom is connected with the sexual changes during adolescence.
In the story, Alice needs to champion over the properties of the mushroom so that she can master the required power of control over her constantly fluctuating size.
This is symbolic physical frustrations which are often accompanied with puberty and adolescence.
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Naïve Bayes Classifier converges easily with less training data.
Explanation:
- In recent years, machine learning concept has been gaining famous among data scientists.
- A classifier in a ML is a function that is used for allocating the population of element value from one of the available categories.
- For example, spam filtering. Naïve Bayer classifier is one of the most popular ML algorithms which have the concept of grouping under the similarities.
- It involves simple calculation and can be trained easily using less training data.
Learn more about Naïve Bayes
Naive Bayes Algorithm is useful for
https://brainly.in/question/7583286
What are the advantages of using a Naive Bayes classifier as opposed to other methods
https://brainly.in/question/9970647
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