Data Mining
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Data Mining Models Part 2
Posted by Edison Macabebe on 17 Feb 2007 | Tagged as: Data Mining
Evaluating the Learners’performance
When it comes to finding out which among the learners will be best on certain occasions, several tests and measures can be made. For this experiment, we chose in particular the k-fold cross-validator.
My k-fold cross-validator program got implemented under the package validators and its object name is CrossValidator.java.
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Data Mining Models
Posted by Edison Macabebe on 22 Jan 2007 | Tagged as: Data Mining
Intoducing the DM Learners
This article details how basic data-mining machine learners are built. These learners are the One Rule, Decision Tree, Naïve Bayes and Prism. Additional tips are also provided in how to process the training and test data.
All codes were written using the Java language utilizing Sun’s latest tool as of this writing, under the brand name of JDK 5.0. To author the codes more efficiently, conveniently and professionally, I chose to use Netbeans latest IDE version 4.0.
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