Weka classification model builder

Weka classification model builder (WCMB) is a Java program based on Weka (Waikato Environment for Knowledge Analysis). WCMB is used for building custom classification models in bulk by utilizing all possible combinations of input features.

Components

WCMB consists of the following components:

• WekaClassificationModelBuilder.java - Contains the main class.
• WekaClassificationModelBuilderExample.java - A sample usage.

Getting Started

These instructions will get you a copy of the WCMB up and running on your local machine for development and testing purposes. The rest of this section assumes a Linux (namely Linux Mint) machine is being used.

Prerequisites

WCMB requires Weka libraries and Java. One way of installing Java:

sudo apt-get install openjdk-7-jdk openjdk-7-jre

To obtain Weka, download it from the official website. Next, extract the downloaded archive file and copy weka.jar into the wekaClassificationModelBuilder/code/ directory.

Usage

WCMB must first be instantiated:

WekaClassificationModelBuilder wmb = new WekaClassificationModelBuilder(FILE, OUT, UNWANTEDATTR);

where FILE is a (string) path to the input .arff file, OUT is a (string) path to output directory and UNWANTEDATTR is an array of unwanted attributes (strings) that must first be removed before building the models. Next, we build all possible models:

wmb.buildAllModels(OUTTOFILE, CLS, FOLDS);

where OUTTOFILE is a boolean value describing whether to output every single model to a file, CLS is a Classifier and FOLDS is a (integer) number of folds used for cross-validation.

For a complete example, see WekaClassificationModelBuilderExample.java.

Building/running an example

To run the example, we must first build all Java files. We do so by running the following command:

javac -cp ".:weka.jar" WekaClassificationModelBuilder.java WekaClassificationModelBuilderExample.java

We run the example:

java -cp ".:weka.jar" WekaClassificationModelBuilderExample

Sample console output:

Used attrs: snr rssi_std rssi_avg avgSnr 
Top of the tree: rssi_avg
Used attrs: timestamp snr rssi_std rssi_avg avgSnr 
Top of the tree: rssi_avg
Used attrs: snr_avg rssi_std rssi avgSnr 
Top of the tree: snr_avg
Used attrs: snr_avg snr rssi_std rssi_avg rssi 
Top of the tree: rssi_avg
Used attrs: timestamp snr_avg snr rssi_std rssi_avg rssi 
Top of the tree: rssi_avg
...

Author and license

Weka classification model builder was written by Timotej Gale, timotej.gale@gmail.com.

Copyright (C) 2017 SensorLab, Jožef Stefan Institute http://sensorlab.ijs.si

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses

Acknowledgement

The research leading to these results has received funding from the European Horizon 2020 Programme project eWINE under grant agreement No. 688116.