Category:HOWTO

From WekaWiki

If you want to add a HOWTO for a certain topic, you should do this following these guidelines:

• Enter the title of your HOWTO (upper case first letters, e.g., Rename Attribute Values).
• Click on Go.
• On the search results page a link to edit this new page will be shown automatically.
• If you have a homepage, please add it at the end, e.g.

Author: [[PeterReutemann]]

• Add the category tag to your HOWTO, by appending the following at the end of the page:

[[Category:HOWTO]]

• Save your HOWTO.

Articles in category "HOWTO"

There are 74 articles in this category.

A ANT Add weights to dataset Adding attributes to a dataset B Batch filtering Binarize Attribute C CVS Changing the plot background Classifying large datasets Command redirection Compiling Weka Compiling Weka with gcj Compiling Weka with gcj (book version) Compiling Weka with gcj (developer version) Converting CSV to ARFF Creating an ARFF file CrossVC 1.5.x D Databases Discretizing datasets Displaying results of cross-validation folds E Eclipse 3.0.x Eclipse 3.2.x Eclipse 3.3.x Explorer visualization plugins F Feature extraction from images

G Generating ROC curve Generating classifier evaluation output manually Generating cross-validation folds Generating cross-validation folds (Filter approach) Generating cross-validation folds (Java approach) Generating source code from Weka classes H How to run Weka schemes from commandline I IKVM with Weka tutorial J JBuilder 2005 JBuilder 2007 L Learning curves M MS SQL Server 2000 (Desktop Engine) Making predictions MessageClassifier N Netbeans 4.1 Netbeans 6.0 O Optimizing parameters P Performing attribute selection Plotting error rate for incremental classifier Plotting multiple ROC curves Programmatic Use R ROC curves Remote Experiment Remove Attributes Removing misclassified instances from dataset

R cont. Rename Attribute Values S Save Instances to an ARFF File Saving and loading models Serialization SmartCVS 5.1.x T Transferring an ARFF file into a database U Use Weka in your Java code Use Weka with the Microsoft .NET Framework Using Weka from Jython Using Weka via Jepp Using cluster algorithms Using the Experiment API Using the MathExpression filter V Visualizing ROC curve Visualizing a Tree W Weka on a memory stick WinCVS 1.2.x WinCVS 2.0.x Writing your own Classifier Writing your own Classifier (post 3.5.2) Writing your own Classifier (up to 3.5.2) Writing your own Filter Writing your own Filter (default) Writing your own Filter (post 3.5.3) Writing your own Filter (up to 3.5.3)