casper-hansen / Nested-Cross-ValidationLinks
Nested cross-validation for unbiased predictions. Can be used with Scikit-Learn, XGBoost, Keras and LightGBM, or any other estimator that implements the scikit-learn interface.
☆64Updated 6 years ago
Alternatives and similar repositories for Nested-Cross-Validation
Users that are interested in Nested-Cross-Validation are comparing it to the libraries listed below
Sorting:
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆117Updated 2 years ago
- Python package for Imputation Methods☆251Updated 2 years ago
- Missing Data Imputation for Python☆247Updated last year
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆421Updated 2 years ago
- A fast xgboost feature selection algorithm☆230Updated 4 years ago
- scikit-learn compatible implementation of stability selection.☆214Updated 2 years ago
- Genetic feature selection module for scikit-learn☆324Updated 2 years ago
- Python implementation of Density-Based Clustering Validation☆178Updated 2 years ago
- Arguably the best missing values imputation method.☆76Updated last year
- Improving XGBoost survival analysis with embeddings and debiased estimators☆342Updated last year
- Feature selection library in python☆146Updated 5 months ago
- The binclass-tools package contains a set of Python wrappers and interactive plots that facilitate the analysis of binary classification …☆73Updated 2 years ago
- How to Interpret SHAP Analyses: A Non-Technical Guide☆58Updated 4 years ago
- Repo for the ML_Insights python package☆153Updated 9 months ago
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆91Updated 2 years ago
- Open source package for Survival Analysis modeling☆368Updated last year
- Feature Selection for Clustering☆96Updated 7 years ago
- A Python library for dynamic classifier and ensemble selection☆496Updated last year
- Phi_K correlation analyzer library☆172Updated last week
- CostSensitiveClassification Library in Python☆205Updated 5 years ago
- scikit-learn contrib estimators☆199Updated last month
- A scikit-learn compatible implementation of hyperband☆77Updated 6 years ago
- A power-full Shapley feature selection method.☆212Updated 3 months ago
- TabNet for fastai☆124Updated 4 months ago
- Python package for Gower distance☆82Updated last year
- Better heatmaps in Python☆137Updated 4 years ago
- An updated (2025) guide to Deep Learning for tabular data, comparing a fine-tuned Keras 3 (PyTorch backend) DNN and an Optuna-optimized…☆48Updated 4 months ago
- SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.☆153Updated 9 months ago
- All Relevant Feature Selection☆142Updated 9 months ago
- A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.☆469Updated 2 years ago