Applications of Navie Bayes Classifier and Types of Navie Bayes Model

Data Science, AI and ML
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Applications of Naïve Bayes Classifier:

  • It is used for Credit Scoring .
  • It is used in medical data classification .
  • It can be used in real-time predictions because Naïve Bayes Classifier is an eager learner.
  • It is used in Text classification such as Spam filtering and Sentiment analysis .

Types of Naïve Bayes Model:

There are three types of Naive Bayes Model, which are given below:

  • Gaussian : The Gaussian model assumes that features follow a normal distribution. This means if predictors take continuous values instead of discrete, then the model assumes that these values are sampled from the Gaussian distribution.
  • Multinomial : The Multinomial Naïve Bayes classifier is used when the data is multinomial distributed. It is primarily used for document classification problems, it means a particular document belongs to which category such as Sports, Politics, education, etc.
    The classifier uses the frequency of words for the predictors.
  • Bernoulli : The Bernoulli classifier works similar to the Multinomial classifier, but the predictor variables are the independent Booleans variables. Such as if a particular word is present or not in a document. This model is also famous for document classification tasks.