yolowinnn/The-Research-on-Logistic-Regression-Model-for-SMS-Spam-Classification-
项目基于SMS Spam Collection数据集，构建并优化了逻辑回归模型进行垃圾短信自动分类。 采用TF-IDF方法进行特征提取，使用梯度下降算法训练模型，并通过5折交叉验证和网格搜索优化超参 数。最终，模型准确率达到0.96，精确度、召回率和F1值均表现优异，研究还通过ROC曲线和精确度 召回率曲线进一步评估了分类效果。该模型在垃圾短信分类任务中展现了较高的性能与实际实用价值
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