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Complete 7 pages APA formatted article: Email Classification Data Set Intelligent System.

Complete 7 pages APA formatted article: Email Classification Data Set Intelligent System. Classification rules of the email messages as induced by machine learning systems are judged based on two distinctive criteria of classification accuracy on an independent test set, and classification complexities recommended by the machine learning community to be applied by the end-users for easy and quick information retrievals (Cohen W., 1996).

Research works and studies have revealed indications that simple rules are likely to achieve very high accuracy on a number of datasets. According to Shavlik et al (1991), the accuracy level of perceptrons is always hardly distinguishable from more complicated/ technical learning algorithms. In addition, the other two studies Rendell and Seshu (1990) and Mingers (1989), have proved this same fact. These studies explain that considering many real-world datasets, just a few if any are easy to learn. and the accuracy levels are hardly ever seen to depreciate while pruning increasingly become severe, consecutively.

Artificial neural networks, having had the above chronological concepts flow, are representations of computing techniques based on how the human brain performs computations by fitting non-linear functions and recognizing different patterns. In recent times, their applications have been utilized in the financial, telecommunications, transportation, electronics, entertainment, aerospace, banking, defense, manufacturing, and robotic industries (Minsky and Papert, 1969).

With the increased rates of information exchange over the internet, interests have been created on how such information should be managed because of their massive reception and delivery. For instance, information industries such as media companies have demanded an automated classification of email messages and other forms of electronic messages into a more user-specific and friendly packaging, in addition to the extraction of information from a chronologically ordered electronic message stream.

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