Sentence examples for using the same validation from inspiring English sources

The accuracies of six global burned area (BA) products for year 2008 were compared using the same validation methods and reference data to quantify accuracy of each product.

The second and third setups were tested using the same validation animals.

By individually training RF classifiers based on two feature sets, we obtained their prediction performance using the same validation strategy.

Using the same validation cohort, we found that CMTC also appeared to be better than other published prognostic gene signatures in predicting responses to ET (Table S6 in Additional file 8). Figure 3A shows that the benefit of ET was nullified by the fact that most of the ET-treated breast cancers were classified as CMTC-2 and CMTC-3 (n = 290) rather than CMTC-1 (n = 115).

We compared this classifier to a naïve mode classifier, using the same cross validation as with the SVM, which calls all segregants in the test set sensitive or resistant according to the category that occurs more frequently in the training set (this provides a better comparison of the predictive value of expression information than does 50∶50 random classification).

Classification methods were evaluated using the same cross-validation scheme but with the response vector of the original training sets dichotomised using a given threshold.

We then performed imputation for each chromosome separately in the 26 FM horses, using the same cross-validation design as before.

We compared the performance of each individual pairwise kernel with and without MKL weights using the same cross-validation procedure outlined above.

For each of the 70876 combinations, we constructed bivariate Cox PH models and evaluated their discrimination ability using the same cross-validation procedure described above, except that only 20 simulation trials were performed for each bivariate model.

Even the predictions estimated using the same training set and validation set (self-validation: validation set Comm estimated with training set Comm and validation set Prof estimated with training set Prof) fail.

Thus, the feature vector for each trial with 2880 dimensions was obtained using the same method in Validation 1. Finally, the features selected by correlation-based feature selector were used for RBF-kernel SVM classification.