Finally, from this ML model, we performed the discriminative training and feature transformations.
To assess the vertical resolution of the model, we performed spike tests (Fig. 6a d).
To validate our detection model, we performed experiments with three types of attacks.
To check the reliability and validity of the measurement model, we performed confirmatory factor analysis (CFA) using AMOS.
To validate the proposed model, we performed extensive experiments on real-world datasets from two notable P2P lending marketplaces.
In contrast, in the present model, we performed portal vein diversion and ligation of major biliary ducts, without interrupting arterial supply, and then followed by endotoxemia.
To examine the fit of the five-factor model, we performed a CFA by using AMOS 22 before testing the hypotheses.
In order to identify the most common annotation errors produced by the model, we performed an error analysis of the results.
Following this model, we performed logistic regressions on the data from both bumblebee species (B.
To determine the robustness of our model, we performed 2 independent replication analyses.
To define the progression of DPN in this model, we performed a detailed phenotypic characterization of Ins2Akita/+ mice.
