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Machine Learning

Tumor Prediction (XGBoost)

Using extreme Gradient Boosting to improve predictive accuracy in medical tumor classification.

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Project Overview

Applying advanced ensemble techniques to handle complex medical datasets with high dimensionality.

Technologies Used

PythonXGBoostScikit-learn

Methodology

  1. 1Optimizing DMatrix objects for performance.
  2. 2Grid Search for hyperparameter optimization.
  3. 3Implementing early stopping to avoid overfitting.
  4. 4Analyzing feature importance through gain metrics.

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