Sentence examples for predictive skill of the model from inspiring English sources

The predictive skill of the model was assessed by calculating the mean square error and the Nash Sutcliffe model efficiency coefficient.

The first one assessed the predictive skill of the models through area under the curve (hereafter, AUC; Phillips et al. 2006).

The inclusion of a bespoke temperature suitability index (Brady et al., 2014), both in defining the pseudo-absences and as a covariate, allowed us to capture both geographic and temporal variations in the species-specific effects of temperature in a single variable, leading to improved predictive skill of the models.

In addition, the use of weighted averages may increase the total predictive skill of the resulting model by locally giving more importance to high and low extreme rate values of each model.

To further improve predictive skill of the WRF-ANN model, an additional analysis of the model biases will be required, e.g., sources of overestimated cumulative rainfall during JJA.

The utilization of current state's fuzzified values (right hand side fuzzy relations) for prediction degrades the predictive skill of the fuzzy time series models, because predicted values lie within the sample.

As discussed in detail by my RealClimate.org co-founder, NASA scientist Gavin Schmidt, Armstrong simply didn't understand the science well enough to properly interpret, let alone, assess, the predictive skill of climate model predictions.

For the testing period, Figure 7c shows the Molchan diagram that evaluates the predictive skills of the initial and final forecast models with respect to the RI reference model.

However, the predictive skill of urban inundation models for extreme tide events has not been critically examined particularly in relation to data quality and flood mapping methodologies.

In contrast to more temperate settings where there is a plethora of rainfall runoff modelling studies, the world's tropical regions, including those of Australia, have received little attention and thus the predictive skill of various rainfall runoff models and methods in tropical basins is less known.

Then, we iteratively create the next-generation forecasts by incorporating the predictive skills of individual models into the current-generation forecast.