Alternatives and similar repositories for Rule_Extraction_from_Trees

Users that are interested in Rule_Extraction_from_Trees are comparing it to the libraries listed below

• jrzaurin / LightGBM-with-Focal-Loss
  An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems
  ☆256Updated 6 years ago
• jovicigor / DecisionTreeRuleExtraction
  This project is a research on how to extract rules from the existing data using trained Decision Tree. The dataset used to train the mode…
  ☆16Updated 6 years ago
• antmachineintelligence / mtgbmcode
  mtgbmcode
  ☆177Updated 3 years ago
• LenzDu / Kaggle-Competition-Favorita
  5th place solution for Kaggle competition Favorita Grocery Sales Forecasting
  ☆261Updated 7 years ago
• jhwjhw0123 / Imbalance-XGBoost
  XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions
  ☆336Updated last year
• 360digitech / GBST
  GBST is an optimized distributed gradient boosting survival trees library that is implemented based on the XGBoost
  ☆37Updated 5 years ago
• duxuhao / Feature-Selection
  Features selector based on the self selected-algorithm, loss function and validation method
  ☆680Updated 6 years ago
• DJofOUC / IEEE-CIS-Fraud-Detection
  kaggle: IEEE-CIS Fraud Detection
  ☆30Updated 6 years ago
• jia-zhuang / xgboost-lightgbm-hyperparameter-tuning
  Bayesian Optimization and Grid Search for xgboost/lightgbm
  ☆79Updated 10 months ago
• Lantianzz / Scorecard-Bundle
  A High-level Scorecard Modeling API | 评分卡建模尽在于此
  ☆82Updated 3 years ago
• msahamed / handle_imabalnce_class
  Address imbalance classes in machine learning projects.
  ☆65Updated 7 years ago
• rogeroyer / feature_selection_GAAlgorithm
  基于遗传算法的特征选择
  ☆127Updated 6 years ago
• jstephenj14 / Monotonic-WOE-Binning-Algorithm
  Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …
  ☆116Updated 3 years ago
• SimaShanhe / tsfresh-feature-translation
  [译]tsfresh特征提取工具可提取的特征
  ☆97Updated 6 years ago
• weepon / feature_selection
  常用的特征选择方法
  ☆67Updated 3 years ago
• ThomasCai / tsfresh-feature-translation
  [译]tsfresh特征提取工具可提取的特征
  ☆53Updated 6 years ago
• ZGLee96 / gbdt_var
  根据GBDT衍生变量，并对衍生后的变量进行应用
  ☆21Updated 5 years ago
• ScienceKot / kydavra
  A python package for feature selection in python
  ☆51Updated 4 years ago
• ZhiningLiu1998 / self-paced-ensemble
  [ICDE'20] ⚖️ A general, efficient ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架
  ☆262Updated last year
• ChuanyuXue / The-Purchase-and-Redemption-Forecast-Challenge-baseline
  天池“资金流入流出预测——挑战baseline”的解决方案，线上效果143.5
  ☆98Updated 5 years ago
• ikki407 / stacking
  Stacked Generalization (Ensemble Learning)
  ☆228Updated 8 years ago
• fitzgerald0 / time_series_data_mining
  TensorFlow Probability；Time series model
  ☆127Updated 3 years ago
• Serena-TT / 36-methods-for-data-analysis
  ☆41Updated 4 years ago
• radicali94 / TimeSeries-Regression
  Comparing XGBoost, CatBoost and LightGBM on TimeSeries Regression (RMSE, R2, AIC) on two different TimeSeries datasets.
  ☆22Updated 6 years ago
• zhu2856061 / quarkml
  风控算法，特征工程，模型工程，分布式，树模型
  ☆17Updated 2 years ago
• finafily526 / A_Model_of_Risk_Control
  关于评分卡的基本流程
  ☆68Updated 6 years ago
• OpenIDEA-YunanUniversity / ycimpute
  A missing value imputation library based on machine learning. It's implementation missForest, simple edition of MICE(R pacakge), knn, EM,…
  ☆108Updated last year
• Qiuyan918 / Adversarial_Validation_Case_Study
  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。
  ☆52Updated 6 years ago
• ICBC-123 / scorecard
  This is the behavior scorecard, which includes three modules, including data processing, establishment of score card and effect evaluatio…
  ☆19Updated 6 years ago
• amphibian-dev / toad
  ESC Team's credit scorecard tools.
  ☆516Updated 3 weeks ago