This study aims to evaluate the effectiveness of four well-known classification algorithms (Naïve Bayes (NB), Bagging, Support Vector Machine (SVM) and LogiBoost) to classify Prophet Mohammed (Peace and blessings of Allah be upon him (PBUH)) Arabic text sayings into one of five classes (books) ((Ablutions (Wudu'), Fasting, Almsgiving (Zakat), Prayers, and Call to Prayers (Adhaan))). In this paper we evaluated the automatic classification of Islam prophet sayings based on several possible categories. Research on different methods of text classification evaluates the quality of this classification in terms of performance or accuracy metrics. Applications of automatic text classification to one of many possible categories extend frequently in many information system and domain areas.
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