Sentence examples for model correctly identified from inspiring English sources

When compared with a model created using Western scientific methods alone, the First Nation model correctly identified the caribou's preference for using frozen lakes as part of its winter habitat — an important nuance that was missed by the Western model.

Likewise, while our statistical model correctly identified the locations within Asia and North America that are highly suitable for rainfed agriculture, the actual intensity of rainfed agriculture within those regions was, in some places, higher than modeled (SI Appendix, Figure S3).

From the perspective of daily planning accuracy, the logistic regression model correctly identified 109 of 124 observations (refer to instance 1).

Given 100 observations, our model correctly identified 70% of all target class cases ((n=37)), with a relatively low number of false alarms ((n=23)) and misses ((n=17)).

Model omission was high for introduced tench populations (54.7%), but the model correctly identified some areas where the species has been successful; distributional predictions for black carp show that large portions of eastern North America are at risk.

Overall, the model correctly identified 65.5% of patients' outcomes.

Our results indicate that key geotechnical parameters can indeed be adjusted to fit observations, even with a minimal calibration effort, and that the model correctly identifies the location of the most severely eroded bank regions.

The NeuroScale model correctly identifies P54 as an outlier patient requiring further investigation.

The S2005 model correctly identifies the East African highlands as epidemic-prone areas (compare Bonora et al. 2001; Loevinsohn 1994).

Variety specific models correctly identified 75 85% of immature tomatoes and 82 86% of mature green tomatoes in internal cross-validation, however external validation performance decreased when applied to predict maturities in a cultivar external to the training set.

Their resulting models correctly identified 70% of all users with depression.