Tagged Questions
1
vote
1answer
79 views
When does Naive Bayes perform better than SVM?
In a small text classification problem I was looking at, Naive Bayes has been exhibiting a performance similar to or greater than an SVM and I was very confused.
I was wondering what factors decide ...
1
vote
1answer
107 views
How to combine a SVM classifier and a Naive Bayes classifier
I have two different set of features for which I have a SVM classifier and a Naive Bayes classifier, respectively. If I wanted to combine these two classifiers to get a better prediction, what option ...
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0answers
123 views
comparing KNN with SVM on ROC chart
1) I wish to compare the performance of KNN and SVM on ROC chart.
a)For KNN, I obtained a linear line on ROC Chart instead of curved one.From x=0 until x=0.275, y= 0.65 and from x=0.35 until x= 0.95, ...
1
vote
4answers
225 views
comparing predictive model with hold out set
In Rapid Miner, I created a predictive model (SVM) with Kernel type = polynomial, c= 10, and obtained 80.77% accuracy using cross validation. When compared to hold out set my accuracy on the test ...
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0answers
49 views
Generating a quality score
Let's say that I am buying something, let's say it's information on consumers. I am bidding on an item and could win or not win. If I win an item, and realize that what I purchased was of poor ...
2
votes
0answers
52 views
Regarding the size of training data for building classifier
When we build a classifier, like SVM or Naive Bayesian, are there any generic rules or theoretical derivations on the size of training data set? For example, to train a SVM-based classifier, what ...
0
votes
1answer
130 views
Differences and connections among different machine learning methods
For the following popular data mining methods:
SVM, neural network, logistic regression, random forest, classification tree, Naïve Bayes classifier, regression;
How to compare them in terms of ...
