├── .idea ├── .gitignore ├── Cancer-prediction-based-on-logistic-regression.iml ├── inspectionProfiles │ └── profiles_settings.xml ├── misc.xml ├── modules.xml └── vcs.xml ├── .ipynb_checkpoints └── 癌症分类预测-checkpoint.ipynb ├── data ├── breast-cancer-wisconsin.data └── breast-cancer-wisconsin.names ├── 机器学习之逻辑回归(一):逻辑回归的原理、模型、激活函数的使用、损失函数、优化方法(附手写案例).md ├── 机器学习之逻辑回归(三):基于逻辑回归的癌症预测案例——【癌症分类预测-良/恶性乳腺癌肿瘤预测】 (1).md ├── 机器学习之逻辑回归(二):逻辑回归的API调用——sklearn.linear_model.LogisticRegression中参数分别是什么意思.md ├── 机器学习之逻辑回归(四):逻辑回归如何评估?——精准率、召回率、F1-score、分类评估报告、绘制ROC曲线、计算AUC指标.md └── 癌症分类预测.ipynb /.idea/.gitignore: -------------------------------------------------------------------------------- 1 | # Default ignored files 2 | /workspace.xml -------------------------------------------------------------------------------- /.idea/Cancer-prediction-based-on-logistic-regression.iml: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/w1449550206/Cancer-prediction-based-on-logistic-regression/HEAD/.idea/Cancer-prediction-based-on-logistic-regression.iml -------------------------------------------------------------------------------- /.idea/inspectionProfiles/profiles_settings.xml: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/w1449550206/Cancer-prediction-based-on-logistic-regression/HEAD/.idea/inspectionProfiles/profiles_settings.xml -------------------------------------------------------------------------------- /.idea/misc.xml: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/w1449550206/Cancer-prediction-based-on-logistic-regression/HEAD/.idea/misc.xml -------------------------------------------------------------------------------- /.idea/modules.xml: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/w1449550206/Cancer-prediction-based-on-logistic-regression/HEAD/.idea/modules.xml -------------------------------------------------------------------------------- /.idea/vcs.xml: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/w1449550206/Cancer-prediction-based-on-logistic-regression/HEAD/.idea/vcs.xml -------------------------------------------------------------------------------- /.ipynb_checkpoints/癌症分类预测-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/w1449550206/Cancer-prediction-based-on-logistic-regression/HEAD/.ipynb_checkpoints/癌症分类预测-checkpoint.ipynb -------------------------------------------------------------------------------- /data/breast-cancer-wisconsin.data: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/w1449550206/Cancer-prediction-based-on-logistic-regression/HEAD/data/breast-cancer-wisconsin.data -------------------------------------------------------------------------------- /data/breast-cancer-wisconsin.names: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/w1449550206/Cancer-prediction-based-on-logistic-regression/HEAD/data/breast-cancer-wisconsin.names -------------------------------------------------------------------------------- /机器学习之逻辑回归(一):逻辑回归的原理、模型、激活函数的使用、损失函数、优化方法(附手写案例).md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/w1449550206/Cancer-prediction-based-on-logistic-regression/HEAD/机器学习之逻辑回归(一):逻辑回归的原理、模型、激活函数的使用、损失函数、优化方法(附手写案例).md -------------------------------------------------------------------------------- /机器学习之逻辑回归(三):基于逻辑回归的癌症预测案例——【癌症分类预测-良/恶性乳腺癌肿瘤预测】 (1).md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/w1449550206/Cancer-prediction-based-on-logistic-regression/HEAD/机器学习之逻辑回归(三):基于逻辑回归的癌症预测案例——【癌症分类预测-良/恶性乳腺癌肿瘤预测】 (1).md -------------------------------------------------------------------------------- /机器学习之逻辑回归(二):逻辑回归的API调用——sklearn.linear_model.LogisticRegression中参数分别是什么意思.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/w1449550206/Cancer-prediction-based-on-logistic-regression/HEAD/机器学习之逻辑回归(二):逻辑回归的API调用——sklearn.linear_model.LogisticRegression中参数分别是什么意思.md -------------------------------------------------------------------------------- /机器学习之逻辑回归(四):逻辑回归如何评估?——精准率、召回率、F1-score、分类评估报告、绘制ROC曲线、计算AUC指标.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/w1449550206/Cancer-prediction-based-on-logistic-regression/HEAD/机器学习之逻辑回归(四):逻辑回归如何评估?——精准率、召回率、F1-score、分类评估报告、绘制ROC曲线、计算AUC指标.md -------------------------------------------------------------------------------- /癌症分类预测.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/w1449550206/Cancer-prediction-based-on-logistic-regression/HEAD/癌症分类预测.ipynb --------------------------------------------------------------------------------