Browsing by Author "Trigg, Leonard E."
Now showing items 1-5 of 7
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Data mining in bioinformatics using Weka
(Oxford University Press., 2004)The Weka machine learning workbench provides a general purpose environment for automatic classification, regression, clustering and feature selection-common data mining problems in bioinformatics research. It contains an ... -
A diagnostic tool for tree based supervised classification learning algorithms
(1999-03)The process of developing applications of machine learning and data mining that employ supervised classification algorithms includes the important step of knowledge verification. Interpretable output is presented to a user ... -
An entropy gain measure of numeric prediction performance
(University of Waikato, Department of Computer Science, 1998-05)Categorical classifier performance is typically evaluated with respect to error rate, expressed as a percentage of test instances that were not correctly classified. When a classifier produces multiple classifications for ... -
Experiences with a weighted decision tree learner
(University of Waikato, Department of Computer Science, 1998-05)Machine learning algorithms for inferring decision trees typically choose a single “best” tree to describe the training data. Recent research has shown that classification performance can be significantly improved by voting ... -
Jumble Java Byte Code to Measure the Effectiveness of Unit Tests
(IEEE Computer Society, 2007)Jumble is a byte code level mutation testing tool for Java which inter-operates with JUnit. It has been designed to operate in an industrial setting with large projects. Heuristics have been included to speed the checking ...
