leave-one-out-cross-validation
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Repository for the Brainhack School 2020 team working with fMRI and ABIDE data to train machine learning models.
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Oct 10, 2024 - Jupyter Notebook
This toolbox offers 8 machine learning methods including KNN, SVM, DA, DT, and etc., which are simpler and easy to implement.
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Jan 10, 2021 - MATLAB
This project predicts tuition rates for U.S. public and private universities using linear regression with leave-one-out cross-validation. Helping to assess if a college market price, maximizing ROI and minimizing student loan debt.
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Nov 25, 2024 - R
Comprehensive Machine Learning Techniques: Metrics, Classifiers, and Evaluation
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Nov 7, 2024 - Python
This toolbox offers 6 machine learning methods including KNN, SVM, LDA, DT, and etc., which are simpler and easy to implement.
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Jan 10, 2021 - Python
This project provides a tutorial on performing leave-one-out cross-validation (LOO-CV) using the Pareto-smoothed importance sampling (PSIS) approximation. The tutorial leverages the arviz package and applies these techniques to a synthetic dataset from Welbanks et al. 2023, focusing on exoplanet atmospheric analysis.
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Jul 18, 2024 - Jupyter Notebook
This toolbox offers 7 machine learning methods for regression problems.
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Jan 10, 2021 - Python
This project aims to understand and implement all the cross validation techniques used in Machine Learning.
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Jan 21, 2022 - Jupyter Notebook
Model-Validation-Methods
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Nov 13, 2020 - Jupyter Notebook
In this project I have extarcted 30 time and frequancy features from EEG signals (of left hand and right hand moving) in an espicific time window. Then using PCA i have decreased the features dimension to 10. Then I have quarried different methdos of ML: KNN(1,3,5,6), SVM(Linear kernel, Gaussian kernel), LDA, Naive bayes on different time windows.
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Jul 27, 2023 - MATLAB
The dataset contains information regarding residential properties which were collected by the US Census Service, the period 2006 to 2010.
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Jun 8, 2020
1. train_test_split 2.K_fold 3.LeaveoneOut 4.Cross Validation Score 5.Logistic Regression
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May 12, 2022 - Jupyter Notebook
This repository aims to explore the Co-Ni deposits samples and develop a model using ordinary kriging technique. The model is further validated by leave one out cross validation strategy.
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Feb 17, 2025 - R
Methodology used to classify breast cancer histopathological images as part of a datachallenge organised at Telecom Paris
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Sep 6, 2023 - Jupyter Notebook
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Feb 27, 2021
Churn prediction means detecting which customers are likely to leave a service or to cancel a subscription to a service.
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Sep 23, 2023 - Jupyter Notebook
The purpose of this project is to analyze some winning factors for a NBA team and predict their win rate using multiple linear regression. Different cross-validation methods were used to evaluate the model's prediction ability.
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Mar 10, 2024 - Jupyter Notebook
Introduction to cross-valdation in Machine Learning, with coding examples for supervised classification.
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May 7, 2025 - Jupyter Notebook
This repository features a machine learning project utilizing the Pima Indians Diabetes Dataset to predict diabetes risk. It explores data preprocessing, model training, and evaluation using techniques such as Naive Bayes and K-Nearest Neighbors (KNN) . The aim is to highlight the impact of various health factors on diabetes prediction.
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Apr 8, 2025 - Jupyter Notebook
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