Build a Decision Tree Using the C4.5 Algorithm to Support Charities Decisions Applied Study on the Charity Ahl al - khair in Aleppo
Keywords:
Charities, Classification, Decision Tree, C4.5 Algorithm, Model Evaluation, WEKA.Abstract
Evaluating and choosing appropriate criteria for decision - making at charities is not a simple process. This process involves defining the needs, evaluating and classifying families, and making the appropriate decisions. Within the period of the crisis between 2012 and 2019, several problems emerged that needed a sound, appropriate and neutral decision at the charities.
The charities set the criteria and mechanism necessary to make a decision. However, error is still present when evaluating the families. The research used the descriptive approach and aimed at identifying and analyzing the criteria, classification of families, and needs according to the algorithm C4. 5. The WEKA tool was used to develop the model for evaluating families, as the decision tree was developed using a vast amount of data. Finally, the decision tree model was evaluated through careful interpretation of the results.
The research indicated the possibility of developing an accurate decision tree; the accuracy degree of the model using the C4.5 algorithm was 0.9691. The model was evaluated through the WEKA tool. The researcher recommended the importance of developing the decision - making process using additional techniques, such as the fuzzy logic.
DOI: 10.33977/1760-005-013-011
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