Breast Cancer Detection

Dataset: https://www.kaggle.com/datasets/uciml/breast-cancer-wisconsin-data

Algorithms

1. K-Nearest Neighbor (KNN)
2. Random Forest (RF)
3. Logistic Regression (LR)
4. XG Boost

Results

1. K-Nearest Neighbor (KNN)

Classification Report

Confusion Matrix

Accuracy: 95.2% at 5th epoch

2. Random Forest (RF)

Classification Report

Confusion Matrix

Accuracy: 97.3%

3. Logistic Regression (LR)

Classification Report

Confusion Matrix

Accuracy: 97.3%

4. XG Boost

Classification Report

Confusion Matrix

Accuracy: 98.2%

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XG Boost performs the best! 🎉🎉🎉