nested-cross-validation
There are 24 repositories under nested-cross-validation topic.
GauravPandeyLab/eipy
Ensemble Integration: a customizable pipeline for generating multi-modal, heterogeneous ensembles
nickkunz/nestedhyperboost
Nested Cross-Validation for Bayesian Optimized Gradient Boosting
ercbk/nested-cross-validation-comparison
Experimenting with various implementations and methods of nested cross-validation in R and Python
nickkunz/nestedhyperline
Nested Cross-Validation for Bayesian Optimized Linear Regularization
Lacerdash/Nested-Cross-Validation
Using scikit-learn RandomizedSearchCV and cross_val_score for ML Nested Cross Validation
Pantzan/KNearestNeighbor
A Knn algorithm used for train a model and prediction
radlfabs/flexcv
Python package customizing nested cross validation for tabular data.
lukebella/SpotifyRegression
Implementation of (Kernel) Ridge Regression predictors from scratch on Kaggle's Spotify Tracks Dataset.
ncaptier/nested_cross_val
Python implementation of a nested cross-validation pipeline compatible with scikit-learn API.
Serfati/covid_bloodtest
❤️ 🩸 Blood test classifier for infected COVID-19 patients using xgb, catboost, rf and lr
attilalr/cv_with_transforms
Routines to perform cross-validation and nested cross-validation using data transformations
benitezfj/maofs
Many Objective Feature Selection for Intrusion Detection Systems
BHPepper/HormoneTherapy-DSS-BreastCancer
Hormone Therapy Decision Support System for Breast Cancer
glyspy/MLCB-Binary-Classification-Diabetes
Nested cross-validation implementation for the binary classification of healthy vs. diabetic patients.
HealthyData-Hub/Diagnosis-of-Breast-Cancer
To utilize the Breast Cancer Wisconsin Dataset for machine learning purposes. The aim is to diagnose breast cancer by employing a supervised binary, distance-based classifier (K Nearest Neighbours), which will classify cases as either benign or malignant.
PouyaRepos/Spam_detection
Detecting anomalies (spams) by fitting several models
TienNguyen93/drug-discovery
Drug discovery with ML and DL approach
acelyavul/DryBean-ML-Pipeline
Machine learning pipeline on Dry Bean Dataset including preprocessing, feature extraction (PCA & LDA), classification models, and nested cross-validation evaluation.
definecoder/PLAGL1-server
A user-friendly GUI for transcriptomic data analysis and biomarker discovery.
GiatrasKon/Diabetes-Prediction-ML-Pipeline
Comprehensive Object-Oriented Programming Python implementation of a machine learning pipeline for diabetes prediction, featuring nested cross-validation, Bayesian hyperparameter optimization, and robust preprocessing for accurate and reliable outcomes.
mettlrob/FoDS-Diabetes-Diagnosis
ML-models, Prediction, Onset of Diabetes, PIMA Indian Dataset, Baseline-model