Implementation of naive Bayes classifier (php)

Implementation of naive Bayes classifier (php) this article uses php to implement a naive Bayes classifier, which classifies records of discrete variables with discrete attribute values .? After learning the data in the sample.csvfile, the classification model is used to predict the class indexes of the data in predict.csv. Calculate the probability of each class for each predicted data, and then implement the naive Bayes classifier with the highest probability (php)

This article uses php to implement a naive Bayes classifier that classifies records with discrete variables whose attribute values are.

?

After learning the data in the sample.csvfile, the classification model is used to predict the class indexes of the data in predict.csv.

Calculate the probability of each predicted data Class, and the class with the highest probability is the predicted class of the data.

?

The attachment contains the program file bys. php, sample file sample.csv, and predict.csv.

?

?