A central point in the PEM approach is to design a predictor, which is a function that returns a predicted value of the output of the system for given parameter values and a sequence of measurements.
As an aside, the results of this benchmark are also of interest for setting up conformal predictors, which are an alternative to defining the AD of a chemoinformatic classification model [24 27].
Thus these algorithms are not directly suited in modelling the applicability domain of kernel-based predictors, which are working in a extremely high dimensional implicit feature space.
A multiple linear regression analysis of predictors, which were selected in synergy with a theoretical framework and collected primary data, was applied to explain the coping strategies of at-risk households.
by introducing the predictor ctg, which is a two-level categorical variable used for the required comparisons (details below).
The MCC values are 54, 60 and 41%, respectively, higher than that by the second best predictor FIEFDom, which is a homologous method-based on PSI-BLAST search.
Secondly, the PMHI is derived from predictors of 90DM, which is a clinically relevant and distinct endpoint compared to OS. Whereas, the RMI, which was derived from predictors of OS was superior in predicting OS in our cohort.
We have also introduced an additional improvement, namely the implementation of a new initial guess for the LSDG predictor, which is based on an extrapolation in time, similar to Adams-Bashforth-type ODE integrators.
The multiple regression analyses showed that age and height were independent predictors of pulmonary function, which is a well documented fact [ 1, 21].
Not all risk scores perform well in external samples this can be due to deficiencies in the design or modelling methods used to derive the algorithm, if the model is over fitted or if there is an important predictor which is absent.
