# Questions tagged [naive-bayes-algorithim]

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### Implementing Complement Naive Bayes for continuous data?

I'm looking to implement the Complement Naive Bayes algorithm for my continuous features. For the Gaussian technique I have calculated the normal distribution per feature x class, however what's the ...
30 views

### How Naive Bayes makes prediction based on scikit-learn?

I need to understand, how multinomial-naive-bayes can make prediction based on scikit-learn implementation. I saw the source code but I want to understand the math behind it. Could you please explain ...
162 views

### Does it make sense to build a ROC curve for Naive Bayes classification?

These past days, in college, we have been learning about NaiveBayes. Since it's a classification algorithm, I was wondering if I could evaluate NaiveBayes models the same way (using the same metrics) ...
54 views

### Explaining Probabilities in Python with Naive Bayes

I have run some data on the possibility of churn in a telecom company based on 6 variables How now do I interpret the output below for the probabilities:
1 vote
300 views

### How to calculate true positive, true negative, false positive, negative and postive with Bayes Classifer from scratch

I am working on implementing a Naive Bayes Classification algorithm. I have a method def prob_continous_value which is supposed to return the probability density ...
1k views

### Stop words list to use for CountVectorization

The sci-kit learn library by defaults provides two options either no stop words or one can specify stop_words=english to include a list of predefined English words I am using Naive Bayes for SMS spam ...
1 vote
60 views

### Comparison of different Naive Bayes algorithm for SMS classification

There are various types of Naive Bayes algorithms in the Sklearn library: Can all of them be used for text classifications? And which one's perform bette I tested out a simple text classification ...
111 views

### What type of 'Naive Bayes' algorithm is provided by Orange?

I've been using Orange for a while to rapidly prototype a few classification models. One of the ones I've been using is 'Naive Bayes'. If I understand correctly, there are a few types available based ...
508 views

### Really confused with characteristics of Naive Bayes classifiers?

Naive Bayes classifiers have the following characteristics-: They are robust to isolated noise points because such points are averaged out when estimating contiditional probabilities from data. Naive ...
1 vote
285 views

### Independence of Features assumption in Naive Bayes

How do we know if your features in my dataset are independent before applying Naive Bayes? Basically I want to know is it possible for us to get an idea before training our model if Naive Bayes will ...
57 views

### Subtraction of Positive and Negative Frequencies in Sentiment Analysis

In the Positive Negative Sentiment Analysis, Would it make sense mathematically to instead of keeping a score of the positive frequencies and negative frequencies of a word, calculate the difference ...
1k views

### How to improve results from a Naive Bayes algorithm?

I am having some difficulties in improving results from running a Naive Bayes algorithm. My dataset consists of 39 columns (some categorical, some numerical). However I only considered the main ...
506 views

### Why naive bayes is "naive"

Some articles say that naive Bayes is naive because of "independence of attributes". Whereas others say "independence of attributes within a class". Can anybody please clear this ...
1 vote