cross-validation

Jun 22 2021

Full cross-validation and generating learning curves for time-series models

msuzen

Kindly reposted to KDnuggets by Gregory Piatetsky-ShapiroPreambleTime-series analysis is needed almost in any quantitative field and real-life systems that collects data over time, i.e., temporal datasets. Building predictive models on temporal datasets for future evolution of systems in...

machine learning deep learning learning-curve statistical learning learning theory cross-validation time-series statistics temporal

Aug 16 2017

Understanding overfitting: an inaccurate meme in supervised learning

msuzen

Kindly reposted to KDnuggets by Gregory Piatetsky-Shapiro with the title Understanding overfitting: an inaccurate meme in machine learning Preamble There is a lot of confusion among practitioners regarding the concept of overfitting. It seems like, a kind of an urban legend or a meme, a folklore...

machine learning data science prediction statistical learning supervised learning gnu r cross-validation overtraining r programming overfitting regression statistics r r project regularisation