The dataset contains sex, height, weight and class (underweight, normal and overweight) of 100 random people. The class has been determined as per the Body Mass Index (BMI). Naïve Bayes Classifier has been implemented and the accuracy of the same has been obtained. The Laplace add-1 smoothing has also been used. The accuracy of the classifier can be increased by increasing the size of the dataset. The code is written in python programming language.
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The dataset contains sex, height, weight and class (underweight, normal and overweight) of 100 random people. The class has been determined as per the Body Mass Index (BMI). Naïve Bayes Classifier has been implemented and the accuracy of the same has been obtained. The Laplace add-1 smoothing has also been used. The code is written in python pro…
ManishChandra12/Naive-Bayes
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The dataset contains sex, height, weight and class (underweight, normal and overweight) of 100 random people. The class has been determined as per the Body Mass Index (BMI). Naïve Bayes Classifier has been implemented and the accuracy of the same has been obtained. The Laplace add-1 smoothing has also been used. The code is written in python pro…
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