zhulei227 / ML_imblearnLinks
类别不平衡学习,包括采样、代价敏感学习、决策输出补偿以及集成学习等内容
☆36Updated 4 years ago
Alternatives and similar repositories for ML_imblearn
Users that are interested in ML_imblearn are comparing it to the libraries listed below
Sorting:
- 集成学习Stacking方法详解☆74Updated 5 years ago
- 常用的特征选择方法☆68Updated 2 years ago
- 机器学习集成模型之Stacking各类模型及工具源码☆116Updated 4 years ago
- Implementations of various feature selection methods☆24Updated 4 years ago
- LR / SVM / XGBoost / RandomForest etc.☆28Updated 5 years ago
- 数据预处理之缺失值处理,特征选择☆21Updated 6 years ago
- 机器学习的特征工程,包括特征抽取、特征预处理、特征选择、特征降维。☆25Updated 6 years ago
- feature selections and extractions☆88Updated 11 months ago
- 基于遗传算法的特征选择☆128Updated 5 years ago
- ☆14Updated 4 years ago
- 当样本分布发生变化时,交叉验证无法准确评估模型在测试集上的效果,这时候需要其他构造验证集的方法来应对。☆51Updated 5 years ago
- Stacking classification and regression☆24Updated 5 years ago
- 主要是在学习李航的统计学习方法和周志华的机器学习西瓜书的笔记和相关的代码实现☆31Updated 5 years ago
- 数据特征工程、各种机器学习回归模型、回归数据预处理☆44Updated 5 years ago
- 支持向量机(SVM)——分类预测,包括多分类问题,核函数调参,不平衡数据问题,特征降维,网格搜索,管道机制,学习曲线,混淆矩阵,AUC曲线等☆52Updated 7 years ago
- 使用遗传算法结合决策树做特征选择/Using genetic algorithm for feature selection with decision tree☆25Updated 6 years ago
- 基于自构造函数的特征提取评分项目(缺失值处理,单变量相关性分析,特征评分,降维)☆15Updated 7 years ago
- 机器学习、深度学习原理及实践☆19Updated 3 years ago
- Bayesian Optimization and Grid Search for xgboost/lightgbm☆74Updated 3 months ago
- 常见机器学习算法回归、分类应用示例,调参;包括基础的线性回归算法、集成学习、支持向量机等;调参包括网格搜索、随机搜索、贝叶斯优化、优化算法如GA优化等。☆21Updated 2 years ago
- AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.☆41Updated 5 years ago
- Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.☆107Updated 4 years ago
- 机器学习预测模型,分别用逻辑回归,决策树,随机森林,神经网络,XGBOOST和支持向量机算法建模,交叉验证,并选出AUC最优的模型。特征工程优化后,AUC值达到0.8259☆55Updated 5 years ago
- 《应用时间序列分析》易丹辉、王燕著; 案例Python实现☆16Updated 5 years ago
- 分类类别不平衡,解决办法:采样(SMOTE和算法集成技术等)、阈值移动、调整代价或权重,附带信用卡诈骗案例☆21Updated 5 years ago
- 基于KNN聚类算法结合Dynamic Time Warping(动态时间调整)的时间序列分类☆61Updated 5 years ago
- 2019年CCF智能信用评分大赛个人源码库。包含XGboost模型调参,特征筛选,训练等方案。同时包含stacking模型融合方案☆27Updated 5 years ago
- ☆147Updated 3 years ago
- Oversampling for imbalanced learning based on k-means and SMOTE☆127Updated 4 years ago
- This is an App developed in Python to implement the algorithm for minimum redundancy maximum ralevance. The formulation was based on a re…☆13Updated 6 years ago