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Exact(6)
Predictions were made using the PASS12 refined version of the program (www.genexplain.com/pass), which predicts 1,105 types of biological activities with a mean prediction accuracy in leave-one-out cross-validation (LOOCV) of 96%.
Created software product predicts about 400 kinds of biotransformation terms with the mean prediction accuracy of about 88%.
In current version, program is able to predict C-Hydroxylation sites for compounds in the human organism with the mean prediction accuracy of about 90%.
The prediction errors of oil flow rate and oil saturation for were less than 10% at all times, especially, the mean prediction accuracy for oil flow rate could reach 1.9%, and the mean accuracy for the oil saturation was about 2.0%.
The mean prediction accuracy for the 10 iterations was recorded for each classification method using n genes.
For the selected p covariates that maximize prediction accuracy, MDR gives two important scores: the mean prediction accuracy and the cross-validation consistency.
Similar(54)
Mean prediction accuracies were converted to d-prime using: d - prime = 2 ∗ erfinv (2 ∗ accuracy - 1 ) ; erfinv, inverse error function.
Using p-value ranked features, we chose different number of probe sets to compare the mean prediction accuracies for each method by averaging the prediction accuracy of the five classification algorithms decision Tree j48 (J48), RF, NB, SL and SMO.
Across the 15 traits tested, the three statistical approaches achieved a wide range of mean prediction accuracies: from 0.21 for β-carotene to 0.71 for β-xanthophylls/α-xanthophylls (Table 3).
Mean prediction accuracies (4 learning methods × 3 attribute datasets each) are equivalent for the PIs (78.0%), NRTIs (77.2%), and NNRTIs (78.3%), with no single inhibitor class displaying a selective advantage over another (PIs-NRTIs, p = 0.17; PIs-NNRTIs, p = 0.40; NRTIs-NNRTIs, p = 0.15) (Table 3).
This is confirmed by computation of the mean relative prediction accuracy (see Figure 2).
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