Sentence examples for more difficult prediction from inspiring English sources

Prediction of pCR across all breast cancers, including both ER-negative and ER-positive cases, represented a slightly more difficult prediction problem with AUCs ranging between 0.61 and 0.80 in the validation set.

Although the results show that prediction markets really can predict, he wonders about fields such as disease genomics where, unlike psychological studies, "the pathways are extremely convoluted: It may be more difficult for prediction markets to make useful predictions, since we are facing an unpredictable black box".

Prediction of an event later in time (here 7 years) is more difficult than prediction of an event shortly after the baseline measurement.

First, precipitation prediction is more difficult than temperature prediction, which may lead to greater variance among GCMs.

Second, the predictions by physicians and nurses might have been biased in a sense that they could have postponed their predictions in the more difficult to predict patients whereas the GP models have always delivered a prediction within the allotted time, regardless of the uncertainty.

HLA class II ligand prediction is more difficult than class I prediction owing to the unknown position of the binding core within the generally longer peptides.

The predictions were more accurate in the high BSE content inocula (50% and 10%) whilst the low BSE content mixtures (2% and 1%) proved more difficult to predict accurately.

Although the algorithms based on functional information (Gene Ontology terms/ protein domains) achieve better results than standard conservation-based approaches, a fair testing procedure is more difficult because the predictions can be biased toward more abundant functional classes.

"I would consider sports prediction more difficult than professional research science on the physical world," he said.

The limited compound references also make identification or prediction more difficult for each constituent in a mixture.

Intricacies in both of these subcomponents render response prediction more difficult, with the serious operator usually resorting to combined numerical analysis and experiment to evaluate a candidate specimen.