Search results
Results from the WOW.Com Content Network
LpO cross-validation require training and validating the model times, where n is the number of observations in the original sample, and where is the binomial coefficient. For p > 1 and for even moderately large n, LpO CV can become computationally infeasible.
In analytical chemistry, cross-validation is an approach by which the sets of scientific data generated using two or more methods are critically assessed. [1] The cross-validation can be categorized as either method validation [ 1 ] or analytical data validation.
Lactoperoxidase (LPO, EC 1.11.1.7) is a peroxidase enzyme secreted from mammary, salivary, tears and other mucosal glands including the lungs, bronchii and nose [5] that function as a natural, first line of defense against bacteria and viral agents. [6] Lactoperoxidase is a member of the heme peroxidase family of enzymes.
Cross-validation may refer to: Cross-validation (statistics) , a technique for estimating the performance of a predictive model Cross-validation (analytical chemistry) , the practice of confirming an experimental finding by repeating the experiment using an independent assay technique
In statistics, the jackknife (jackknife cross-validation) is a cross-validation technique and, therefore, a form of resampling. It is especially useful for bias and variance estimation. The jackknife pre-dates other common resampling methods such as the bootstrap .
Cross validation is a method of model validation that iteratively refits the model, each time leaving out just a small sample and comparing whether the samples left out are predicted by the model: there are many kinds of cross validation. Predictive simulation is used to compare simulated data to actual data.
Another, K-fold cross-validation, splits the data into K subsets; each is held out in turn as the validation set. This avoids "self-influence". For comparison, in regression analysis methods such as linear regression , each y value draws the regression line toward itself, making the prediction of that value appear more accurate than it really is.
Verification is intended to check that a product, service, or system meets a set of design specifications. [6] [7] In the development phase, verification procedures involve performing special tests to model or simulate a portion, or the entirety, of a product, service, or system, then performing a review or analysis of the modeling results.