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Italic values denote the best predictive performance among the techniques for each data set.
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All models were shown to achieve outstanding predictive performance, the lowest being NS2 model with 96.57% accuracy (AUC = 0.980; MCC = 0.916), while HA prediction model achieved the best predictive performance of 98.62% accuracy (AUC = 0.998; MCC = 0.972).
Molecular fingerprints here showed nearly the worst results among all the types of descriptors in this study (63% for SVM and 71% for GTM), while the best predictive performance was achieved using descriptors of the MOE and Dragon packages.
As always, multiparametric testing strategies achieve the best predictive performance.
Of the rules we investigated, offers marginally best predictive performance.
From Table 4 and Figure 5 we can see that among the seven predictive methods, the proposed method has the highest performance with ACC of 80.00%, MCC of 0.674 and AUC of 87.40% and DBPPred is the known reported predictive method with the best predictive performance (ACC = 76.90%, MCC = 0.538 and AUC = 79.10%).
For hospitalization, the number of diagnoses had the best predictive performance.
We found in order to obtain the best predictive performance a relaxed penalty was necessary.
The best predictive performance is achieved when sampling weights were obtained from knockout data alone.
They obtained that frailty models showed the best predictive performance in the comparison.
Indeed, this approach produced the model with the best predictive performance.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com