algorithm - A simple explanation of Naive Bayes Classification
Apr 8, 2012 · I am finding it hard to understand the process of Naive Bayes, and I was wondering if someone could explain it with a simple step by step process in English. I understand it takes …
What is "naive" in a naive Bayes classifier? - Stack Overflow
May 16, 2012 · In simple terms, a naive Bayes classifier assumes that the presence (or absence) of a particular feature of a class is unrelated to the presence (or absence) of any other feature, …
Ways to improve the accuracy of a Naive Bayes Classifier?
Aug 13, 2010 · In my experience, properly trained Naive Bayes classifiers are usually astonishingly accurate (and very fast to train--noticeably faster than any classifier-builder i …
What is the difference between a Bayesian network and a naive …
May 11, 2019 · A Naive Bayes classifier is a simple model that describes particular class of Bayesian network - where all of the features are class-conditionally independent. Because of …
python - Mixing categorial and continuous data in Naive Bayes ...
79 I'm using scikit-learn in Python to develop a classification algorithm to predict the gender of certain customers. Amongst others, I want to use the Naive Bayes classifier but my problem is …
Decision tree vs. Naive Bayes classifier - Stack Overflow
If you are dicing between using decision trees vs naive bayes to solve a problem often times it best to test each one. Build a decision tree and build a naive bayes classifier then have a …
python 2.7 - how to use tf-idf with Naive Bayes? - Stack Overflow
I need to know this as I am implementing the Naive Bayes myself without taking help of any Python library which comes with the built-in functions for both Naive Bayes and tf-idf. What I …
Unsupervised Naive Bayes - how does it work? - Stack Overflow
Mar 22, 2018 · So as I understand it, to implement an unsupervised Naive Bayes, we assign random probability to each class for each instance, then run it through the normal Naive Bayes …
naivebayes - Naive Bayes For Regression - Stack Overflow
Apr 26, 2016 · Naive bayes doesn't make sense to me as a regression algorithm. Random forest regression might be a better fit for your problem. It should be able to handle mixed text and …
Alternatives to Naive Bayes algorithm - Stack Overflow
We're trying to implement a semantic searching algorithm to give suggested categories based on a user's search terms. At the moment we have implemented the Naive Bayes probabilistic …