A Knn algorithm used for train a model and prediction
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Updated
Feb 17, 2019 - Python
A Knn algorithm used for train a model and prediction
Nested Cross-Validation for Bayesian Optimized Gradient Boosting
Nested Cross-Validation for Bayesian Optimized Linear Regularization
Python package customizing nested cross validation for tabular data.
Ensemble Integration: a customizable pipeline for generating multi-modal, heterogeneous ensembles
Many Objective Feature Selection for Intrusion Detection Systems
Leakage-safe model-selection forge: proper pipelining buys a preprocessing-leakage correction, nested cross-validation buys a selection-bias correction — measured against a held-out oracle with a random-label null. Offline-first, from-scratch estimators (numpy only).
Computational Biology With Clicks!
End-to-end MLOps pipeline predicting corporate bankruptcy from 95 financial ratios. Features nested CV, SHAP explainability, MLflow tracking, and Dockerized FastAPI deployment.
Sleep stage classification from Sleep-EDF EEG signals using a leakage-safe, subject-grouped nested cross-validation pipeline with MLflow-tracked reproducibility.
운수종사자 운전적성정밀검사 위험군 라벨 예측 연구의 재현 코드와 집계 결과
Interpretable hierarchical machine learning for small-sample prediction of surface and tribological responses in electrical discharge machining.
Routines to perform cross-validation and nested cross-validation using data transformations
Leakage-safe nested classifier comparison on the UCI Heart Disease dataset.
Reproducible cross-validation sensitivity audit of protected-feature construction in a public WT2D microbiome benchmark.
NSGA-II feature selection vs matched-budget random subsets, filters and knockoffs under nested CV: the inner-CV advantage does not survive to held-out data.
Leakage-aware reproducible benchmark for tabular stroke-risk prediction
Reproducible metabolomics classification research: subject-separated nested CV, model comparisons and an interactive synthetic-data showcase.
Credit default prediction on the FICO HELOC data: decoding special-value missingness, nested cross-validation, penalised logistic regression vs RBF-kernel SVM, calibration and interpretation
Metabolome-based ICI outcome prediction model
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