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    Pneumonia classification

    An ensemble pipeline exploring chest X-ray classification, model comparison and evaluation.

    Overview

    A chest X-ray classification project combining multiple models through an ensemble approach. The project includes preprocessing, augmentation, comparison and confusion-matrix evaluation.

    The question

    Classification errors have different consequences, so accuracy alone is an incomplete description of a model.

    My approach

    Compare models using recall, F1 and confusion matrices alongside ensemble predictions.

    Outcome and limits

    A documented pipeline covering preprocessing, model comparison and recall/F1 evaluation.

    An experimental image-classification project, not a clinically validated diagnostic system. Dataset composition and evaluation splits affect how results generalise.

    Interested in this work? Get in touch.