Wisconsin Breast Cancer Detection Using L1 Logistic Regression

The detection of breast cancer type from the Wisconsin CSV dataset is described in this paper. One of the most frequent malignancies in women is breast cancer. An earlier diagnosis will result in the cancer being completely cured. However, this cancer's development may endanger life. The logistic regression model with lasso regularization and the logistic regression model without lasso regularization were contrasted. As a result, for this Wisconsin dataset, the performance of logistic regression with lasso regularization outperforms that of the conventional logistic regression model as well as the ridge logistic regression model.