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In this case, the best predictive accuracy for the four models was obtained by using a decision tree (M5P).
In this case, the best predictive accuracy for the three models was obtained by using a decision tree (M5P) and evaluating using 4-fold cross validation.
The goal of the WAAC algorithm is to find the feature subset and parameter values that will give the best predictive accuracy for a model based on given training data.
The best predictive accuracy for death or MI at 1 year was obtained by the GRACE AUCC: 0.72 (95% CI = 0.67 0.76)) [ 15].
Regarding established clinical scoring systems, the SAPS2 score revealed the best predictive accuracy for survival as compared with suPAR and APACHE II score.
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The best predictive accuracy of 86.1% indicates that machine learning methods are able to detect a signal in the data and predict binding affinity to some extent.
HAS-BLED demonstrates good predictive accuracy overall, with a better predictive accuracy for patients receiving either no antithrombotic therapy or antiplatelet therapy [ 51].
We suggest that CHADS2 score provides better predictive accuracy for ischemic stroke in prostate cancer patients.
In Table 2, the best predictive accuracies of each method are listed.
Also, it is worth noting that if we compare the best predictive accuracy obtained for a given dataset (given in bold) by using MIFS to that of MRMR, we observe that MIFS always gives a better value.
The constructed SVM models of three different regulatory features are measured, and models with the best predictive accuracy are selected for the mammalian proximal promoter prediction.
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