ID3 Classifier for Pupils' Status Prediction
Predicting the pupil's status is the primary goal. Many studies have been made by a large number of scientists to explore the prediction of their research. One best solution is predicting the results based on the data source by applying some data mining techniques. This paper is to identify the prediction results by means of applying classification technique on the data source being available. There are many approaches in classification technique but this paper implements ID3 (Iterative Dichotomiser 3) Decision Tree concept which provides higher accuracy rates. This model extracts highly useful, reliable patterns from the database to ensure pupil's to achieve a higher academic output.