The Amazon Great Reviews dataset made use of listed here continues to be taken from Kaggle. The first complete dataset is made up of 35172 rows with ten attributes, of which we just have to have the attributes symbolizing the product or service Rating
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Due to the fact Naive Bayes is effective best when all of the independent variables are categorical, we shall change the frequency of each term into an element variable with labels “Certainly” if frequency is more than 0, and “No” if it is equivalent to 0. Then we break up the data into prepare and take a look at datasets within the ratio of eight:2. Using uncomplicated prop.table()
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