Python cross-validation package with k-fold, leave-one-out and leave-one-subject-out
-
Updated
Apr 10, 2023 - Python
#
leave-one-out
Here are 6 public repositories matching this topic...
an efficient gradient-based model selection algorithm for MLSSVR
-
Updated
Apr 21, 2018 - MATLAB
A function in Matlab that performs leave-one-out cross validation of the previously created regression model. CV function performs cross-validation for linear regression, and CVbin for binomial regression
-
Updated
Oct 27, 2020 - MATLAB
A Python implementation of feature selection algorithms using k-Nearest Neighbor classification. This project implements three different search strategies for finding optimal feature subsets: Forward Selection, Backward Elimination, and Simulated Annealing.
cli ai command-line validator feature-selection classification mit-license nearest-neighbors simulated-annealing nearest-neighbours-classifier forward-selection backward-elimination leave-one-out
-
Updated
Dec 22, 2024 - Python
Exact Leave-One-Out (LOO) data attribution for IMDB sentiment classification - retrains a logistic regression model per training point to identify which reviews help or hurt performance.
-
Updated
Jul 19, 2026 - Jupyter Notebook
-
Updated
Mar 10, 2019 - Jupyter Notebook
Improve this page
Add a description, image, and links to the leave-one-out topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the leave-one-out topic, visit your repo's landing page and select "manage topics."