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
- Missing Data Imputation for Python☆247Updated last year
- Python package for Imputation Methods☆251Updated 2 years ago
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆420Updated 2 years ago
- A fast xgboost feature selection algorithm☆228Updated 4 years ago
- Feature Selection for Clustering☆96Updated 7 years ago
- A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.☆64Updated last year
- How to Interpret SHAP Analyses: A Non-Technical Guide☆57Updated 4 years ago
- Improving XGBoost survival analysis with embeddings and debiased estimators☆342Updated last year
- scikit-learn compatible implementation of stability selection.☆214Updated 2 years ago
- Better heatmaps in Python☆137Updated 4 years ago
- TabNet for fastai☆124Updated 3 months ago
- Genetic feature selection module for scikit-learn☆324Updated last year
- Open source package for Survival Analysis modeling☆368Updated last year
- Python implementation of Density-Based Clustering Validation☆178Updated 2 years ago
- Arguably the best missing values imputation method.☆75Updated 11 months ago
- Repo for the ML_Insights python package☆153Updated 8 months ago
- A power-full Shapley feature selection method.☆211Updated 2 months ago
- All Relevant Feature Selection☆142Updated 8 months ago
- AutoML for clustering models in sklearn.☆62Updated 2 years 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
- Python Accumulated Local Effects package☆169Updated 2 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…☆47Updated 4 months ago
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆90Updated last year
- Techniques to cluster very noisy data (dropouts or random noise)☆66Updated 6 years ago
- Phi_K correlation analyzer library☆172Updated last week
- Jupyter Notebook used for writing the article "Black-Box models are actually more explainable than a Logistic Regression" published in To…☆73Updated 2 years ago
- ⬛ Python Individual Conditional Expectation Plot Toolbox☆164Updated 5 years ago
- Tutorial on survival analysis using TensorFlow.☆47Updated 5 years ago
- Example usage of scikit-hts☆57Updated 3 years ago