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Evaluation of prediction performance: We used the AUC ROC as our main measure of performance in prediction.
By this way, we generate totally 90 simulated tumor samples for comprehensive evaluation of prediction performance.
The logrank statistic and concordance index are computed for evaluation of prediction performance.
Finally, applying multiple machine learning algorithms to our task might be robust for evaluation of prediction performance.
It is expected that the evaluation of prediction performance can also provide an indirect evaluation of the biological implications of the models and representative features.
The AUC values are the average sensitivity values relative to all the specificity values, and are often used for the evaluation of prediction performance (Kato et al., 2005).
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15 This paper focuses on the last step, the evaluation of prediction performances.
13688_2016_85_MOESM1_ESM.pdf Full results of prediction performance.
In particular in the context of salience map models, which aggregate multiple low-level features, 41 there has been considerable debate regarding the evaluation of the prediction performance of a given feature or model.
In our KEGG-based evaluation of the prediction performance, about 94% of the annotated functions could be predicted with only 4% false positives.
The relaxation time constants presented in Table 1 are mainly for the evaluation of the prediction performance.
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CEO of Professional Science Editing for Scientists @ prosciediting.com