Sentence examples for performance of a prediction from inspiring English sources

Performance of a prediction model depends on the set of predictive signatures used in the model.

The performance of a prediction model face challenges for higher prediction horizons due to the accumulation of errors.

Sensitivity, specificity and positive predictive value (PPV) are all widely used statistical measures of the performance of a prediction system.

But, to assess the performance of a prediction model, we must determine discrimination and calibration.

The performance of a prediction model is generally worse in new patients then initially expected.

Performance of a prediction model has traditionally been evaluated by discrimination and calibration.

Simulation results compare the performance of a prediction-based approach with a naive one in which no prediction is used.

In addition, there are other commonly used measures of the performance measures of a prediction model, namely, positive predictive value (PPV), defined as the proportion of patients with predicted infection who are correctly predicted, and negative predictive value (NPV), defined as the proportion of patients with predicted non-infection who are correctly predicted.

Fifty-three articles (53/78; 68%; 95% CI 56%to78%8%) did not report evaluating a prediction model's calibration, which can (arguably) be considered as the key performance measure of a prediction model.

20 21 The accuracy rate, the error rate and the area under the receiver operating characteristic curve (AUC) are commonly used performance indicators of a prediction model for a binary outcome.

This study discusses the development and performance of a rapid prediction system capable of representing the joint rainfall-runoff and storm surge flood response of tropical cyclones (TCs) for probabilistic risk analysis.