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The system is tested with the available datasets and the test result shows the efficiency of the proposed system.
However, the test accuracy of χ-IRG-DC was superior to the training accuracy for the Leuk2, Lung2, and Leuk3 datasets, and the test accuracy of TSG was superior to the training accuracy for the Lung1, Lung2, Leuk2, and Leuk3 datasets.
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We used the training subsets to create the corresponding training DB_MF, DB_PF, DB_CF and DB_CRYS datasets, and the tests subsets to create the independent test datasets.
On the other hand, the logrank test revealed that only dichotomized FRAX™ score was significantly associated with fractures after falls both in the development dataset and the test dataset (Table 4, Figure 1).
The variables obtained from patients and controls were compared using the nonparametric Mann-Whitney test for unpaired datasets and the χ test for categorical variables.
However, when generating the training and testing dataset from the whole pool, the samples have equal probability to be partitioned into the training dataset and the testing dataset.
The model with the highest training accuracy was then used to classify individuals in the testing dataset and the testing accuracy was calculated.
Tumor samples were taken from three different populations and the distributions of the samples' clinical characteristics in the Norway/Stanford, Korean, and Zhao/Langerød datasets are not equal, however, so we followed the procedure described below and divided each of the three datasets and subsequently pooled groups to make the training dataset and the testing dataset.
The training dataset of General-100 dataset [12] and the testing datasets of Set5 [1] (5 images), Set14 [37] (14 images), and BSD200 [23] (200 images) are public.
The dataset was randomly divided into two datasets using a computer-generated random number: the training dataset for model development and the test dataset for validation of the developed HF risk score.
The split of the dataset and the independent test is repeated for 10 times.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com