Features
Standardized features; train/validation split with stratification.
Modeling
LogReg baseline; threshold tuning for recall/precision trade-off.
Result
Strong AUC and calibrated probabilities; transparent coefficients.
Breast Cancer Prediction
Logistic regression classification with accuracy, ROC AUC, and error analysis.
Scikit-learnMLPython
Role
ModelingClassification
Tools
PythonPandasscikit-learn
Outcome
- Strong baseline accuracy
- Confusion matrix + ROC analysis