Breast Cancer Classification using SVM
Tasks Performed
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Data Loading & Preprocessing Dropped unnecessary columns. Encoded target labels (M=1, B=0). Standardized features for SVM.
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Model Training Trained SVM classifiers with both Linear and RBF kernels.
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Visualization Plotted decision boundaries using the 2D feature space.
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Hyperparameter Tuning Tuned C and gamma using Grid Search with Cross-Validation.
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Model Evaluation Used 5-fold cross-validation to evaluate the final model performance.