Sentence examples for model performance measures from inspiring English sources

However, the normality assumption may not be appropriate for all the parameters of interest when analysing prognostic modelling studies, such as predicted survival probabilities and model performance measures.

Probabilistic analyses allow the effect of uncertainty in system parameters on predicted model performance measures to be determined.

From the steady-state solution of the Markov model, performance measures of interest can be determined by summing up appropriate state probabilities.

Model performance measures were normalized by relating them to an upper and a lower benchmark representing a well-informed and an uninformed model calibration.

Model performance measures were based on cross-validation, in which the test set results were averaged from 200 splits of the data between training (80%) and test (20%) (Table 6).

Thus, using even slightly more recent data could substantially boost model performance measures.

We denote by a model performance measure of interest, where and.

We reduced set of features using a greedy backward feature elimination and AIC as a model performance measure.

Note that here we assume that the case mix of the validation study is identical to the development study; if this is not the case then the interpretation of the value of D (or, indeed, any other model performance measure) at external validation is more complex [ 29, 30].

The study also shown that among several regression techniques, significant differences can be obtained in models performance, measured by R2 and Q2, hence it is strongly suggested to evaluate all available options as MLR, PLS and OPLS.

The rest of the paper is structured as follows: Section 2 describes the problem scenario, Section 3 presents our power consumption model and performance measures.