Predictive Modeling For Breast Cancer Classification In The Context Of Bangladeshi Patients By Use Of Machine Learning Approach With Explainable Ai

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A study was conducted to predict breast cancer prognosis using supervised machine learning algorithms and deep learning. The results showed that deep learning using Human Gradient Descent Learning had the highest accuracy rate of 98.24%. The study also utilized explainable AI to interpret the model’s predictions and understand the impact of each feature.

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Predictive Modeling For Breast Cancer Classification In The Context Of Bangladeshi Patients By Use Of Machine Learning Approach With Explainable Ai

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Predictive Modeling For Breast Cancer Classification In The Context Of Bangladeshi Patients By Use Of Machine Learning Approach With Explainable Ai

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