Write a Python Program to implement Naïve Bayes Algorithm for data classification, choose dataset of your own choice.

Here’s a Python program to implement the Naïve Bayes Algorithm for data classification using the popular Iris dataset from the sklearn library. The Iris dataset is a simple dataset often used for machine learning tasks, containing flower data with different species labeled as classes.

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