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• Building a ML Model to classify the given images as bleeding or non-bleeding using feature selection/extraction and ensemble methods of machine learning.

• The model has been developed using vast datasets, various ensemble methods like Adaboost Classifier,Random Forest, etc. and results have been confirmed through Performance Matrices obtained.

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