逻辑回归分类

资 源 简 介

对数据集breastcancer进行逻辑回归分类，准确率达百分之98

详 情 说 明

In this project, we focused on the classification of the breast cancer dataset using logistic regression. Our analysis yielded an accuracy rate of 98%, which is an impressive result. This high level of accuracy suggests that our model is highly effective in predicting whether a given case is malignant or benign. Furthermore, given the importance of early detection in improving outcomes for breast cancer patients, the high accuracy rate of our model may have significant implications for clinical practice. In future work, we plan to explore other machine learning algorithms and techniques to further improve our model's performance.