Sentence examples for better predictive performance of from inspiring English sources
The results of scaling comparisons (VAS versus Likert-type method) support earlier work by Ware and Hays [ 51] that reported better predictive performance of a Likert-type scaling compared to VAS scaling of TS items.
This explains the better predictive performance of BRANN over SCGANN: Bayesian regularization imposes a penalty for model complexity and prevents over-fitting, while SCGANN captures both signal and noise in the training set, leading to poor prediction.
However, the differences in ranking of some variables that were found to be significant may account for the better predictive performance of the ANN compared to the clinicians and suggest the need for further study.
Although the any-stage model including ultrasound (model 3) retained its R value of 0.54 in phase II, its value dropped to 0.30 for model 1, indicating a better predictive performance of models, including ultrasound evidence.
The external validation using the NHANES III data, confirmed the overall pattern (Table 1): The results with glucose and cholesterol are comparable and also suggest slightly better predictive performance of the model with glucose (Brier score: 7662x10-5 vs. 7744x10-5 with p-value 0.245; AUC: 0.8766 vs. 0.8737; IDI 0.029 with p-value < 0.001).
Our method obtains statistically significantly better predictive performance on most of the drugs compared with baseline single-task algorithms that learn drug-specific models.
The resulting ensemble predictor is called a bagged predictor, which is more stable and often has better predictive performance than that of any of the individual predictors H b(r).
The results also provide support for double BOOT versus BMA, with double BOOT providing the same or better predictive performance in two of the three model-specific simulations and in three of the five city-specific simulations.
Suffice to say that the advantage of BMA has been discussed in Madigan and Raftery (1994) who showed that Bayesian model averaging provides better predictive performance than that of a single model based on the log score rule Hoeting et al.
