Naive Bayes Classifier

Big Data Analytics Naive Bayes Classifier

It is a classifying technique
Its hypothesis is value of an specific feature is independent from the value of another feature
It offers better results in difficult real globe scenarios
It needs a little training data to predict the arguments required for segmentation
It is provisional probability model
It supports reformulating the model in a simplified means
It employs the procedure in the language R in a uncomplicated process
The underlying example shows the way of training Naïve Bayes classifier and employing it for forecasting in a spam controlling process
The R file resides in the bda/ part3/naïve_bayes/ naïve_bayes.R

From the outcome, it is clear that the rate of accuracy of the model is 72%. It represents the model is classifying the variables perfectly to 72%