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Models derived from both survey forms were assessed using an independent data set (EVALUATION).
The evaluation of the model using an independent data set confirmed the good quality of the predictions.
Using an independent data set from the same study area, the model classified correctly 88% of sample plots.
The PLS models developed were also successfully validated using an independent data set, which provides confidence on their consistency and prediction accuracy.
The new PS model is also validated using an independent data set so as to examine the reliability of the simulation results.
Models were tested locally (Greater Fundy Ecosystem [GFE]) using cross-validation, and regionally using an independent data set from an area located ca. 250 km to the northwest (Riley Brook [RB]).
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We evaluated the model error of the niche models using an independent data-set obtained from the Official Spanish Atlas of Amphibians and Reptiles [ 15].
This analysis used an independent data set of diffusion-weighted images (DWIs).
Next we used an independent data set published by Chitale et al's data [ 20] to get a bioinformatics validation of the potential driver genes.
Although we have conducted internal validation using split sample approaches [ 3], we have not previously used an independent data set to assess performance.
Our approach then is to use an independent data set to estimate performance following the principles outlined in literature addressing validation and application of prediction models in medicine [ 8, 9].
More suggestions(15)
using an open data
using an experimental data
using an independent proposal
using an unstructured data
using an independent insurance
using an abstract data
using an automated data
using an independent dataset
using an environmental data
using an independent validation
using an automatic data
using an actual data
using an independent body
using an uncoded data
using an independent assumption
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