How to use cross validation in naive bayes classifier?

up vote 0 down vote favorite

pemrograman-&-desain

asked Oct 2 '14 at 11:34

Unnamed User
1 0 0 0

Can you answer these questions?

	Pertanyaan tentang jurnal....?
	Bagaimana kaitan antara aktivitas anggota tubuh kiri dan kanan dengan perkembangan otak manusia?
	Berapa kali mata kita berkedip dalam 1 menit?

Your Answer

Related Content

	R code: classification and cross-validation - Katrin Erk's homepage R code: classification and cross-validation ... Using logistic regression. Fitting the largest ... for Naive Bayes, we want to use categorial predictors where we can,
	Classification - Mallet Choosing an algorithm: The default classification algorithm is Naïve Bayes. To select ... To use 10-fold cross-validation use --cross-validation 10. Comparing ...
	6. Learning to Classify Text - NLTK For example, if we train a naive Bayes classifier using the feature extractor ... ... A second, and equally important, advantage of using cross-validation is that it ...

Related Questions

	Apakah anda kuat angkat barbel 18 kg dengan 1 tangan ?
	Tentang photoshop CS 6?
	Apa kegiatan ekonomi di daerah pegunungan?

Related Content

	R help - NAIVE BAYES with 10-fold cross validation NAIVE BAYES with 10-fold cross validation. hi there!! i am trying to implement the ... It will use the naïve Bayes implementation in klaR. ... but i can't find a way to make a contingency table in order to see the classification result.
	Reference — scikit-learn 0.15.2 documentation sklearn.naive_bayes: Naive Bayes; sklearn.neighbors: Nearest Neighbors ... . The sklearn.cross_validation module includes utilities for cross- validation and ... .. For example, it is possible to use these estimators to turn a binary classifier or a ...
	Streamline your cross-validation and classification... - NBViewer ... the cross-validation. Training the Naive Bayes classifier ... An example for using Pipelines in Cross-validation and classification¶. [back to ...
	Statistical Data Mining Tutorials - The Auton Lab Cross-validation is one of several approaches to estimating how well the model ... to Density estimation and general use of Bayes Classifiers, with Naive Bayes ...
	Telecom Fraud Detection - Naive Bayes Classification - SlideShare TELECOM SUBSCRIPTION FRAUD DETECTION Using Naïve Bayes ... NaïveBayes Classifier Model based on 10 fold cross-validation using ...
	r - Accuracy rate in naive Bayes classification - Cross Validated I am trying to use a naive Bayes classification technique to predict fraudsters ( Caller ). My training set of 138 instances has 5 columns viz. Morning , Afternoon ...
	classification - Naive Bayes with unbalanced classes - Cross Validated As a part of a project for the university is should train a Naive Bayes classifier ... gave us this constraint to use an unique NaiveBayes classifier.
	how to use the a 10-fold cross validation with naive bayes classifier... I have a small corpus and I want to calculate the accuracy of naive ... Your options are to either set this up yourself or use something like ...
	Classification - MATLAB & Simulink Example - MathWorks Naive Bayes classifiers are among the most popular ... First model each variable in each class using a Gaussian distribution. You can compute the resubstitution error and the cross-validation error.
	[R] 10- fold cross validation for naive bayes(e1071) [R] 10- fold cross validation for naive bayes(e1071) ... doesnt like it when you pass through the classification variable in the data you want to predict for. ... Hence use: obj <- tune(svm, Species~., data = iris, ranges = list(gamma ...