Question: To implement a Nave Bayes Classifier. The nave Bayes classifier is a very fundamental algorithm for machine learning. We will use Iris dataset for training

https://archive.ics.uci.edu/ml/datasets/iris To implement a Nave Bayes Classifier. The nave Bayes classifier is a

To implement a Nave Bayes Classifier. The nave Bayes classifier is a very fundamental algorithm for machine learning. We will use Iris dataset for training and testing of the classifier. The dataset is from the following website: https://archive.ics.uci.edu/ml/datasets/iris You may use half of the dataset for training and the other half for testing. You may write your code in a contemporary language of your choice; typical languages would include C/c++, Java, Ada, Pascal, Smalltalk, Lisp, and Prolog. A GUI interface is preferred. To implement a Nave Bayes Classifier. The nave Bayes classifier is a very fundamental algorithm for machine learning. We will use Iris dataset for training and testing of the classifier. The dataset is from the following website: https://archive.ics.uci.edu/ml/datasets/iris You may use half of the dataset for training and the other half for testing. You may write your code in a contemporary language of your choice; typical languages would include C/c++, Java, Ada, Pascal, Smalltalk, Lisp, and Prolog. A GUI interface is preferred

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