This paper extends the earlier work on an oscillating error correction technique. Specifically, it extends the design to include further corrections, by adding new layers to the classifier through a branching method. This technique is still consistent with earlier work and also neural networks in general. With this extended design, the classifier can now achieve the high levels of accuracy repo...

In this study, the ensemble classifier presented by Caruana, Niculescu-Mizil, Crew & Ksikes (2004) is investigated. Their ensemble approach generates thousands of models using a variety of machine learning algorithms and uses a forward stepwise selection to build robust ensembles that can be optimised to an arbitrary metric. On average, the resulting ensemble out-performs the best individual ma...

<span>In today’s world, Diabetes is one of these diseases and now a big growing health problem. The techniques data mining have been widely applied to extract knowledge from medical databases. In this work, Medical Diagnosis system proposed for the ‎diagnosis diabetes in manner ‎that rapid cost-effective. three stages are ‎involved diagnosis (DDS) including: dataset constructing, preproce...