zhulei227 / ML_imblearn
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
- 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
- LR / SVM / XGBoost / RandomForest etc.☆28Updated 4 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
- 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
- ☆14Updated 4 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
- 数据预处理之缺失值处理,特征选择☆21Updated 6 years ago
- Stacking classification and regression☆24Updated 5 years ago
- 机器学习数据预处理:包括画数据分布图、特征筛选、调参技巧☆11Updated last year
- 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
- 基于遗传算法的特征选择☆128Updated 5 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
- ☆67Updated 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
- Implementations of various feature selection methods☆24Updated 4 years ago
- feature selections and extractions☆88Updated 10 months ago
- Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.☆107Updated 4 years ago
- AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.☆41Updated 5 years ago
- Bayesian Optimization and Grid Search for xgboost/lightgbm☆72Updated 2 months ago
- The Python implementation of Tradaboost classifier and regressor☆15Updated 7 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
- Python与机器学习方向,《决策树与集成算法》课程仓库☆25Updated 6 years ago
- ☆148Updated 3 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
- 第三届“融360”天机智能算法挑战赛中“拒绝推断”赛题--复赛第四名的代码分享☆11Updated 5 years ago
- 在sklearn下,几 种常用的特征选择方法☆40Updated 9 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
- Transfer Learning JDA and TrAdaboost☆64Updated 7 years ago
- 💖基于机器学习的贷中风险预测模型--江苏银行“随e融”杯--二等奖💖☆21Updated 3 years ago