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The models' accuracy was checked and the contributions of all explanatory variables to the prediction were compared.
In earlier studies of prediction accuracy within biparental families from QTL models, accuracy was optimal at quite relaxed P-value thresholds (Hospital et al. 1997; Bernardo 2004).
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Models accuracy were assessed by comparing the predicted arrivals that obtained from the proposed models and observed arrival using goodness of fit test.
As expected, the resulting model accuracy was reduced for both MEDELLER and Modeller.
Model accuracy was highest on north-facing slopes.
Model accuracy was determined through examining the coefficient of determination (R2) and RMSE.
Model accuracy was assessed by leave-one-out cross-validation (Arlot and Celisse 2010).
GDC model accuracy was tested using 10 Monte Carlo simulations for each clinical ROI.
Model accuracy was tested on 25% of the video observation dataset reserved from modelling.
Model accuracy was found to be 96.65% from the data obtained from validation experiment.
Model accuracy was measured via the statistical significance of its parameters and its classification ability.
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