Sentence examples for multiple predictive models from inspiring English sources

The multiple predictive models and the adaptive task allocation strategy would pave the way for future implementations of real-time adaptive HM systems.

We fit and compared multiple predictive models to quantify the importance of 200 years of natural disturbance dynamics on the occurrence probability of an umbrella species – the capercaillie (Tetrao urogallus).

The AUC is a standard method of measuring and comparing the discrimination of multiple predictive models.

We tested multiple predictive models, including the 10 and 50 most significantly deregulated genes (Table 2) of the 180-gene signature to determine the robustness of the predictor.

When a choice among multiple predictive models needs to be made, these two evaluation methods can provide insights into which model is most suitable for the clinical situation and desired outcome.

WENDI aims to build a full picture of potential biological activities of a chemical compound through the aggregation of data from web services that represent diverse multiple sources (including predictive models, databases and journal articles).

This research aims to provide an appropriate approach to enhance asphalt mixtures creep compliance performance predictions and presents two predictive models, one with multiple regression analysis and the other with feed-forward artificial neural networks (ANN).

These response variables were fitted to predictive models applying multiple linear regressions.

This program allows to calculate correlation predictive models through multiple linear regression methods in which a series of data known as dependent variables (which we have referred to as fundamental measure) is related to a series of independent variables.

In using predictive models with multiple predictors, the classification score is based on a combination of the amount of early weight change and other variables included in the model.

All statistical analyses were performed using SPSS, version 22. Statistical methods included chi-square tests and one-way analysis of variance (ANOVA) for studying group differences, principal components analysis for variable reduction and multiple regression analysis to build predictive models of PDT, SDT and TDT.