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The dogs are judged thoroughly by the German method, and each dog is given a rating.
We described the constraint transformation method, and each of its constituents.
Both methods were compared with standard plate count method and each other.
We trained a one-vs-all (OVA) classifier for each classification method and each feature representation.
Table 1 p values between our method and each method w.r.t.
In Table 3, we reported the average AUC and accuracy for each method and each feature space.
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Table 2 shows the top ten genes predicted for each method and for each case study.
The assessment order for each method and for each psychiatrist was predetermined using a method of random allocation.
The samples with uniform thickness were selected for the measurements, and one measurement was carried out for each measurement method and for each sample.
For each sampling method, and for each cutoff value from 2 to 7, we randomly selected sites with sample sizes of 20, 50 and 200.
For each imputation method and for each imputed diagnostic test, we used complete data samples to train and validate the method.
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