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Questions tagged [naivebayes]

Naive Bayes is a popular (baseline) method for text-classification.

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create a custom numeric arff weka

Hello I want to create a following cusotm numeric arff in WEKA. I saw some examples of arff but still confused How I model my problem in arff. I am trying to use it for naive bayes classifier. attributes = {long, sweet, colour} long = {yes,…
Patrik
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Bayes classifier program to predict the class of give information in java using Jtable

Naive Bayes program to predict the work type for a person with following parameters: age: 30,Qualication: MTech, Experience: 8.. WorkType Age Qualication Experience Consultancy 30 Ph.D. 9 Service …
Pankaj Andhale
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What data structure should I use to store the dataset of my Naive Bayes classifier?

I'm working on my own version of a Naive Bayes classifier. Right now I train it with a string for label and a hash/dictionary of features. Here is one example of the training set I'm using: classifier.train(:male, { height: 6, weight: 180,…
Thiago Belem
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How to get probabilities (instead of a single - actual - class) from NaiveBayesModel in MLlib?

I have built a NaiveBayesModel in MLlib. It works fine but I would like to get back the probabilities of each class for given input instead of the model's final - and single - decision, that is, whether the input belongs to class 1.0 or class 0.0.…
user706838
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How to find cities, counties, and their abbreviations in a string using Python NLTK

I am working to categorize posts from a ride sharing Facebook group by offering or seeking, origin and destination, and date and time. People will post things like: Offering: From SF to south west la (Torrance) Leaving around 6 or 7 on this…
Sunjay Dhama
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Naive Bayes classifier with intersecting/orthogonal feature sets?

I'm faced with a classification problem that seems to lend itself to Naive Bayes Classifier (NBC). However, I have one problem: usually the NBC works by estimating the most likely Class c out of a set of classes C based on an observation x of a…
Jürgen Simon
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How create a training file for Spark MLlib Naive Bayes and calculate TF–IDF

I need to classification a lot of products in a category tree, I'm testing with Spark and Mlib Naive Bayes. But I don't understand how I can calculate the TF-IDF. I have a trainer file like this: #filenameTrainer: 103,355 4 50 60 71 72 66 73 57…
faster2b
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R bnlearn - parameter learning with naive.bayes() check.data() error

I have a graph structure, determined from another method, and I want to do parameter learning. The bnlearn methods, however, seem to do parameter learning directly on the dataset (strictly in a dataframe). I have two questions: how do I do parameter…
lrthistlethwaite
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How to cross validate a Naive Bayes classifier?

I use e1071 for naive classification function naiveBayes(x=, y=, ) I want to use cvTools for cross-validation cvFit(....) how could I write this, the documentation of cvFit is really hard to understand for me typeof(naiveBayes) is 'closure'
Hello lad
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Naive Bayes Ticket Classification Python

I currently have a CSV export from our ticketing system with two columns. Short Description and Class. Both are created by the agent when logging a ticket. eg Data Backup is not working,Backup Email change in Groups,Notes backup directory not…
davethebear10
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Naive Bayes Sentiment Analysis of Facebook Post

Could any of you help me with the following issue? My goal is to make a sentiment analysis of the comments of a post to see if the feedback is positive or negative. To do it, i have the following code of RestFB JAVA API: Comments commentsPolarity;…
Gabriel Braga
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windows phone c# Bayes algorithm for image processing

am working on windows phone c# and trying to implement Bayes algorithm to compare 2 images and state the percentage of the difference? Any help?
Gitta Brian
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What is the purpose of cross-validation?

I am working myself through a book on machine learning right now. Working on a NaiveBayesClassifier the author is very much in favour of the cross-validation method. He proposes to split the data into ten buckets (files) and train on nine of them…
Andrew Tobey
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How to use Naive Bayes in R

# training data set data(x_train) # training data label data(y_train) # test data set data(x_test) # test data label data(y_test) library(e1071) #svm svm_model = svm(x_train,y_train) y_pred_svm = predict(svm_model,x_test) y_pred_svm =…
ilovecp3
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Weka Classifier Accuracy

I've got 73,841 instances of data, from 17 classes, that I am using to train a classifier with WEKA. The data has been filtered using FFT, and each instance has three points. I.e. 85724.5409, 40953.2485, 3204935, 4539024.002345, ?/class I've tried…
user3089
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