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The remaining 238 trees were used for model validation on data from the same population as the model fitting data set.
The following three scenarios were considered: training and validation on data from 1) the same institution (denoted as intra-lab validation); 2) a combination of the same and other institutions (cross-lab validation); and 3) separate institutions (inter-lab validation).
Accordingly, the classification performance of region-specific models was estimated by external validation on data from the other region, as well as by (biased) resubstitution.
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Our experiments and validations on data with 9 years of publication records validate the effectiveness of the proposed design.
Automatic validation of data, on the other hand, works on the single field level only.
Corresponding values of 6.11% AARE, 0.0816 RMSE, 0.9991 leave-one-out cross validation on test data (Q2ext) and 0.0541 MRE were obtained for the test data.
The instruments provide content and construct validation based on data triangulation as a strategy.
For both 5-fold validation on pooled data and leave-one-stent out, we computed detection statistics listed below.
Validation on simulated data is performed before moving to experimental data.
After the computational validation on synthetic data, CPM was used to analyze the well-known Yeast cell cycle data.
An extensive validation on synthetic data, images acquired on microspheres and in vivo images is presented.
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