From: shital patil <sjmaratha@gmail.com>

Reply-To: "Weka machine learning workbench list." <wekalist@list.scms.waikato.ac.nz>

Date: Wednesday, 1 May 2013 1:50 AM

To: "Weka machine learning workbench list." <wekalist@list.scms.waikato.ac.nz>

Subject: [Wekalist] Linear regression with weka

Reply-To: "Weka machine learning workbench list." <wekalist@list.scms.waikato.ac.nz>

Date: Wednesday, 1 May 2013 1:50 AM

To: "Weka machine learning workbench list." <wekalist@list.scms.waikato.ac.nz>

Subject: [Wekalist] Linear regression with weka

Or I need to consider entire dataset for training at once and build only one regression model?Do I need to build regression model separately for instances belonging to one class and then other and finally compare score from ClassifyInstance method ?I want to know how to classify new instance-Dealing with 2 class classification problem I represented one class as 0 and other as 1Hello ,I am using linear regression as meta classifier through java code

weka.classifiers.meta.ClassificationViaRegression implements this for any base regression learner by creating a separate binary indicator attribute for each class value and then learning a regression model for each. For a test instance, the distributionForInstance() method asks each base regression model for a score (truncated at 0 and 1) for its respective label, stores them in an array and then normalises the array to make a probability distribution.

Cheers,

Mark.