Skip to content

MATLAB code for the paper "Bootstrapping the Out-of-sample Predictions for Efficient and Accurate Cross-Validation".

License

Notifications You must be signed in to change notification settings

mensxmachina/BBC-CV

Repository files navigation

Code for the simulations' results presented in Section 5.1 of the paper titled "Bootstrapping the Out-of-sample Predictions for Efficient and Accurate Cross-Validation" by Tsamardinos, Greasidou, and Borboudakis, published in the Machine Learning Journal.

To produce the exact plots shown in the paper run the following commands in Matlab:

simulations_bias_results = machineLearningJournalSimulationsCode(9, 6, 10, 1000, 1000, 0.99); plotSimulationsBiasResults(simulations_bias_results, [-0.1, 0.2]);

About

MATLAB code for the paper "Bootstrapping the Out-of-sample Predictions for Efficient and Accurate Cross-Validation".

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages