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In the case of classification, predictions are generated by averaging probability estimates, no by voting.
The y values are typically drawn from a discrete set of classes {1,…,K} in the case of classification.
In the case of classification this leads to models with a higher specificity when compared to conventional QSAR.
In the case of classification models, conformal prediction produces a set of labels, e.g., in binary classification it produces {0}, {1}, {0, 1} and sets.
Descriptor sets were ranked twice per experiment using 2 validation parameters (R02 and RMSE in the case of regression and MCC and Sensitivity in the case of classification).
The latter calculate either the probability for each class (classifier) or the final value (regressor) for each element in R. Classification In the case of classification, we extend the voting scheme, to perform probabilistic classification.
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In the case of classifications of (NV vs. rotNV), above-chance classification was also identified in a bilateral fronto-temporo-parietal network, including the inferior frontal gyri (pars triangularis, pars opercularis, and pars orbitalis), inferior parietal cortices, and both anterior and posterior superior/middle temporal cortices (Fig. 5 B).
In the case of classifications of clear versus rotated speech (Fig. 5 A), above-chance classification was identified within a fronto-temporo-parietal network, including the bilateral inferior frontal gyri (pars opercularis and triangularis), left angular gyrus, and both anterior and posterior superior/middle temporal gyri.
In the case of stage classification, 9 tumors with intermediary Stage T1 were excluded from the classification.
In the case of plasmid classification, labelled probes were generated by using DIG-labelled dUTP and primers repCF10-1/2 repCF10-1/2-1/2 for plandid repRE25-1/2 repRE25-1/2 (Additional fore 2: Table S2).
In the case of grade classification, the number of misclassified samples drops from 12 (21%) to 7 (12%), while in the case of stage classification it drops from 13 (28%) to 7 (15%).
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