Sentence examples for model on training from inspiring English sources

The performances of the best logBB QSAR model on training and test compounds are presented in Additional file 1: Figure S1a, b, respectively and are overall satisfactory (R train 2  = 0.66; R test 2  = 0.67).

Internal OOB cross-validation for the initial (full-gene-set) model on training data reported an ROC AUC of 0.704.

The 10-fold cross validation accuracy of the SMO (sequential minimal optimization) model on training dataset was 0.901, and the accuracy on independent test dataset was 0.895.

Internal OOB cross-validation for the initial (full-gene-set) model on training data reported an ROC AUC of 0.704, which was comparable to or better than those reported previously or obtained by applying existing methods to our dataset.

Our Iterative Feature Removal (IFR) process works by repeatedly building a predictive model on training data using a classifier that assigns non-zero weights to only a minimal subset of non-redundant features.

BinReg uses a Bayesian statistical analysis to fit a binary probit regression model on training data given a set of genes that are most correlated with the binary response/phenotype of interest (e.g. Epi-A vs. Non-Epi-A).

Then, the coded genotypes of significant variants at α = 0.05 level are summed to calculate GRS, and GRS and environmental variables were incorporated into the logistic regressions as covariates to build the final disease risk model on train set.

Plots of model fits for the single GLM and GAM models on training and test data sets to illustrate relationship between RIC and BLAST bit score can be seen in Figure 5. Fits for both types of models are very similar.

Best models on training dataset were evaluated on validation dataset.

The performance of our models on training and validation is shown in Table  6.

Although it is unlikely that overfitting occurs given the good generalization demonstrated for attentional modulation signals, we want to explicitly compare performance of system-level models on training and evaluation sets.