Topic: leave-one-out-cross-validation Goto Github
Some thing interesting about leave-one-out-cross-validation
Some thing interesting about leave-one-out-cross-validation
leave-one-out-cross-validation,Methodology used to classify breast cancer histopathological images as part of a datachallenge organised at Telecom Paris
User: aillaud
leave-one-out-cross-validation,Learning Machine Learning Through Data
User: akash1070
leave-one-out-cross-validation,
User: anselmeamekoe
leave-one-out-cross-validation,Repository for the Brainhack School 2020 team working with fMRI and ABIDE data to train machine learning models.
Organization: brainhack-school2020
leave-one-out-cross-validation,Applied Regularisation techniques(Ridge+Lasso) and observed improvement in regression algorithm.It also contain two promising cross validation technique.
User: dhawal777
leave-one-out-cross-validation,The dataset contains information regarding residential properties which were collected by the US Census Service, the period 2006 to 2010.
User: divya171997
leave-one-out-cross-validation,Churn prediction means detecting which customers are likely to leave a service or to cancel a subscription to a service.
User: emamulhossen
Home Page: https://github.com/EmamulHossen
leave-one-out-cross-validation,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.
Organization: exoinference
leave-one-out-cross-validation,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.
User: jecoc907
leave-one-out-cross-validation,This toolbox offers 7 machine learning methods for regression problems.
User: jingweitoo
leave-one-out-cross-validation,This toolbox offers 8 machine learning methods including KNN, SVM, DA, DT, and etc., which are simpler and easy to implement.
User: jingweitoo
leave-one-out-cross-validation,This toolbox offers 6 machine learning methods including KNN, SVM, LDA, DT, and etc., which are simpler and easy to implement.
User: jingweitoo
leave-one-out-cross-validation,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.
User: mashghdoust
leave-one-out-cross-validation,1. train_test_split 2.K_fold 3.LeaveoneOut 4.Cross Validation Score 5.Logistic Regression
User: moindalvs
leave-one-out-cross-validation,This project aims to understand and implement all the cross validation techniques used in Machine Learning.
User: pradnya1208
leave-one-out-cross-validation,Model-Validation-Methods
User: vaitybharati
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