0
votes
0answers
16 views

Popular implementations of one vs all logistic regression for mutiple classes in R

Is there any popular implementation of logistic regression in R that defaults to using a one vs all approach for a categorical dependent variable with more than two classes? I have specific reasons to ...
1
vote
1answer
125 views

Linear statistical model with two-class variables

Suppose I have a set of (discrete) variables, say $X_1,\dots,X_n$. Each $i$ belongs to either class A or class B. When it belongs to A the contribution is $Y_{A,i}f(X_i)$, and when it belongs to B the ...
0
votes
1answer
530 views

R one vs all classification example code [closed]

I'm trying to build a one vs all multi-class classifier in R and my results are pretty poor. I'm curious if anyone can suggest a piece of example code somewhere on the internet. I'm trying to ...
5
votes
3answers
541 views

Suitable number of classes for SVM in text categorization

I'm doing text categorization with R and SVM in the package e1071. I have around 30000 text files for training, and 10000 for test. The goal is to hierarchically categorize these files. For example, I ...
9
votes
1answer
1k views

Extending 2-class models to multi-class problems

This paper on Adaboost gives some suggestions and code (page 17) for extending 2-class models to K-class problems. I would like to generalize this code, such that I can easily plug in different ...