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The feature selection method is then assessed on datasets of the UCI Machine Learning Repository.
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The accuracy of the classification was assessed on dataset B using 10-fold cross-validation, repeated 10 times.
The He and the MOI were assessed on two datasets, one containing all infections, and the other with only the first P. vivax episode for each person to avoid the possible bias caused by related infections.
The proposed framework is assessed on several datasets, exhibiting remarkable accuracy.
Rotation recovery using the Newton's method on the manifold is first assessed on different datasets.
The performance of GeneTIER was assessed on a dataset comprised of 1000 known associations between disease genes and tissues expected to be affected by each gene's dysfunction.
The standard error of D was given as 0.09, and the models were assessed on a dataset of 538 patients with 502 events (7 % censoring).
AdvISER-PYRO hyperparameters were tuned on the validation dataset while performance was assessed on the test dataset.
On the other hand, it allows the performances of the devised algorithm to be assessed on a wider dataset, thus evaluating the ability of the approach presented in this paper to be exploited in more general scenarios.
The performance of the final model was assessed on the validation dataset.
As a baseline, classification performance was first assessed on each separate dataset X and Z with different methodologies (Table 1).
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