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Classification Report For every class is presented in Figure, the classification report offers comprehensive measures including F1-score, recall, and precision. The model minimizes false positives in both classifications rather well: 97\% for authentic messages and 94\% for spam. At 82\%, the recall for spam messages was rather lower, suggesting some space for development in terms of all spam occurrence capture. With an F1-score of 0.98 for valid communications and 0.88 for spam, the model's overall accuracy—which shows a strong mix between precision and recall—was 97\%.
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IEEE/ICACT20250142 Slide.10
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