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"Experiments and results" describes the experimental settings, datasets, performance measures, and testing results.
13321_2018_260_MOESM2_ESM.xlsx Additional file 2. Information about the applied datasets, performance of the predictive models, and evaluation of the gain- cost function for the different datasets and settings.
This paper will help researchers to investigate the previous studies from metrics, methods, datasets, performance evaluation metrics, and experimental results perspectives in an easy and effective manner.
Naïve Bayes method was found to be the least affected method achieving in several tested datasets performance higher than 0.6 MCC even at the highest level of noise tested 50% and outperforming more complex methods.
Most importantly, with the ever increasing size of metagenomics datasets, performance and scalability of such tools becomes essential.
For all three datasets, performance of both methods is always higher than the naive ranking scheme when false priors are present.
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One of the most important parameters in the performance evaluation of a model is training dataset performance.
In addition, by comparing the training and testing dataset performance, it appears that the ANFIS-PSO is totally trapped in over-fitting and the results of this method cannot be used in practical situations.
We found that overall, human dataset performance is strongly predicted by node degree (correlation of 0.94) with a variable fraction (approximately half to two-thirds) of the performance accountable by node degree performance (including in the meta-analysis dataset and protein-interaction dataset) (Figure 5A).
Over the opt100 dataset, performance was fairly robust over a range of parameter values.
The estimated cost of the Victorian bronchiolitis hospital admissions for 2006 is $8.1 million dollars (data supplied at personal request from Victorian Admitted Episodes Dataset, Performance Reporting & Analysis Unit, Department of Human Services Victoria).
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