Explain NAIVE BAYES CLASSIFIER: “A collection of classification algorithms based on Bayes Theorem. It is not a single algorithm but a family of algorithms that all share a common principle, that every feature being classified is independent of the value of any other feature. So for example, a fruit may be considered to be an apple if it is red, round, and about 3” in diameter. A Naive Bayes classifier considers each of these ‘features’ (red, round, 3” in diameter) to contribute independently to the probability that the fruit is an apple, regardless of any correlations between features. Features, however, aren’t always independent which is often seen as a shortcoming of the Naive Bayes algorithm and this is why it’s labeled ‘naive’.”[aylien] This naiveté makes it much easier to develop implementations of these algorithms that scale way up. See also Bayes' Theorem, classification.
Different definitions in web development like naive Bayes classifier in Dictionary N.
- Manual Null Hypothesis:
- Meaning model for a data set says that the value of x is affecting the value of y, then the null hypothesis—the model you're comparing your proposed model with to check whether x really is affecting naive bayes classifier definition.
- Manual N-Gram:
- Meaning sequences of n items (typically, words in natural language) to look for patterns. For example, trigram analysis examines three-word phrases in the input to look for patterns such as which pairs of naive bayes classifier explain.
- Manual Neural Network:
- Meaning artificial neural network to distinguish it from the brain, upon which this algorithm is modeled. “A robust function that takes an arbitrary set of inputs and fits it to an arbitrary set of outputs naive bayes classifier what is.
- Manual Normal Distribution:
- Meaning distribution. (Carl Friedrich Gauss was an early nineteenth-century German mathematician.) A probability distribution which, when graphed, is a symmetrical bell curve with the mean value at the naive bayes classifier meaning.
- Manual NoSQL:
- Meaning management system that uses any of several alternatives to the relational, table-oriented model used by SQL databases. While this term originally meant “not SQL,” it has come to mean something closer naive bayes classifier abbreviation.
