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Questions tagged [naivebayes]

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

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Text Blob Naive Bayes classification

I am using textblob lib for classification using naive bayes , I have a train set and wants to check if I pass a word it should check in the train and classify accordingly and if the word is not present in the train it should not suggest any…
Dexter1611
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How to convert a CSV file to SVM for ML training

I have this dataset i wish to train multiple ML models on in Apache Spark 2.1.1. It consists of 10 columns, 2 of which contain strings. Removing these columns is not an option as they are vital to the information I wish to gather. However, I am…
Nnamdi Affia
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Text classification for binary output

I am not a data scientist and very new to data science/ machine learning. My goal is to predict if certain text is of a specific class or not. I have looked naive bays to classify the text in different classes, but here I have only one class.…
Sagar
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ROC curve error

I have dataset like this train <- sample(1:nrow(df), nrow(df)*0.80) train <- df[train, ] test <- df[-train, ] NaiveBayes1 <-naiveBayes(purchased ~ .,data=train) pre1 <- predict(NaiveBayes1,test,probability = TRUE) library(pROC) roc1 <-…
joerna
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Does naive bayes text classification require real world data

Given that the Bayesian formula is: P(A|B) = (P(B|A) * P(A)) / P(B) Lets say that I want to train a classifier to classify spam/ham. Lets say also, that in the real world, we get about 1% spam. So given a sample input, we would expect about 1%…
user98651
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Naive Bayes method

Let's assume that I've got patients with information about their diseases and symptoms. I want to estimate probability of P(diseasei = TRUE|symptomj = TRUE). I suppose that I should use NB classifier, but every example I've found apply Naive Bayes…
ds_fan
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Naive Bayes Classification with R - strange result

I have the following problem: I'd like to pedict a factor-variable "cancer" (yes or no) using two variables "sex" and "agegroup" with a bayes classifier. These are my (fictional) sample…
D. Studer
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How to pass a dynamic test instance in document classification in java using weka

I am new to weka. Currently I am working on text classification using weka and java. My training data-set has one String attribute and one class attribute. @RELATION test @ATTRIBUTE tweet string @ATTRIBUTE class {positive,negative} I want to…
dennypanther
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Low Accuracy in Implementing naive Bayes classifier

I have code for naive Bayes classifier that implement the concept of the naive Bayes, but the accuracy that this algorithm gives me is about 48% and it much lower than MATLAB build-in function for Naive Bayes (84%). Can anybody help me where is the…
Elnaz
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Collecting Machine learning training data

I am very new to machine learning, and need a couple of things clarified. I am trying to predict the probability of someone liking an activity based on their Facebook likes. I am using the Naive Bayes classifier, but am unsure on a couple of things.…
joethemow
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external dataset learning in python for machine learning

Hi I want classify a dataset using naivebayesclassifier.For that I want to use external dataset which i have downloaded from google.this dataset contains a two folder for positive reviews and negative reviews.Each folder contains 1000 .txt files.How…
Sharmili Nag
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Weka, which classifier to use, for two categorical and 10 numerical attributes

I would like to ask, I have 10 columns with sound parameters and after 2 columns with which two instrument was recorded in this moment. After I have data with 10 columns of sound parameters and I need to predict which single instrument was used. I…
Denis
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How do I merge or combine error rates?

Let's say I have a dataset that has 9 continuous columns of data and 4 columns of categorical data. In Matlab, I separate the columns into two groups and do training/testing (naïve bayes) on them separately and determine that the continuous columns…
swabygw
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Printing conditional probabilities from Naive Bayes Model in R

I have created a model using e1071 package for Naive Bayes classifier. I need to print the conditional probabilities in below format. P(C=c1)=0.32 P(A1=x1|c1)=0.33 P(A1=x2|c1)=0.67 P(A2=y1|c1)=0.25 P(A2=y2|c1)=0.75 P(A3=z1|c1)=0.26 P(A3=z2|c1)=0.49…
MrNeilP
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Term Frequency and IDF - Clarification

Based on the link , https://en.wikipedia.org/wiki/Tf%E2%80%93idf , IDF is used to negate the weightage of frequently used words in a document ( like "the" , "of" etc ) If I am applying stop words removal before extracting features , should IDF be…
lives
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