Naive Bayes is a popular (baseline) method for text-classification.
I am finding it hard to understand the process of Naive Bayes, and I was wondering if someone could explain …
algorithm machine-learning dataset classification naivebayesI have a small corpus and I want to calculate the accuracy of naive Bayes classifier using 10-fold cross validation, …
python scikit-learn nltk cross-validation naivebayesI am using a Naive Bayes Classifier to categorize several thousand documents into 30 different categories. I have implemented a Naive …
machine-learning naivebayesI've wondered if there is a function in sklearn which corresponds to the accuracy(difference between actual and predicted data) …
python scikit-learn naivebayesI basically have the same question as this guy.. The example in the NLTK book for the Naive Bayes classifier …
python machine-learning nlp nltk naivebayesDoes any one know how to set parameter of alpha when doing naive bayes classification? E.g. I used bag …
python scikit-learn classification naivebayesWhat is naive about Naive Bayes?
algorithm classification naivebayesI have tried the Orange Framework for Naive Bayesian classification. The methods are extremely unintuitive, and the documentation is extremely …
python machine-learning naivebayesI'm slightly confused in regard to how I save a trained classifier. As in, re-training a classifier each time I …
python machine-learning classification nltk naivebayesWhat is the difference between a Bayesian network and a Naive Bayes classifier? I noticed one is just implemented in …
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