The main goal of this project was to develop a predictive model that can effectively categorize breast cancer cases as malignant or benign, utilizing machine learning techniques, particularly logistic regression.
- The objective is to create a system that can assist medical professionals in diagnosing breast cancer with greater accuracy and speed.
- Used Python
Evaluation of model
Accuracy scores were calculated to assess the model's ability to classify breast cancer instances as malignant or benign correctly.
Accuracy on training data = 0.9494505494505494
Accuracy on test data = 0.9298245614035088