Which of the following is NOT a valid cross-validation method?
Stratification is not a valid cross-validation method, but a technique to ensure that each subset of data has the same proportion of classes or labels as the original data. Stratification can be used in conjunction with cross-validation methods such as k-fold or leave-one-out to preserve the class distribution and reduce bias or variance in the validation results. Bootstrapping, k-fold, and leave-one-out are all valid cross-validation methods that use different ways of splitting and resampling the data to estimate the performance of a machine learning model.
Lashaunda
7 months agoBernardine
6 months agoKami
6 months agoTamra
6 months agoBasilia
6 months agoPauline
7 months agoArlyne
7 months agoVictor
7 months agoShalon
6 months agoRozella
6 months agoStephaine
6 months agoNoemi
6 months agoNoel
7 months agoLamonica
7 months agoBrice
7 months agoDelsie
7 months agoRebbeca
8 months agoArlyne
8 months agoLanie
8 months agoJesusita
7 months agoNicolette
7 months agoAracelis
7 months agoLizette
7 months agoAlline
7 months agoSherita
7 months agoDalene
7 months ago