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The inclusion of the RISC, but not the CFS, significantly increased the predictive power of model one to predict institutionalisation, OR of 1.43 (p = 0.01) versus OR of 1.03 (p = 0.87) respectively.
Future research requires specific modeling for each target species on a road-by-road basis, and measuring the predictive power of model results within similar landscapes.
This large reduction of irrelevant variables minimizes the computational/time cost, improves the predictive power of model and provides a better understanding of the underlying relationship between the property of interest and the relevant features.
‡OLS, ordinary least squares; robust st err, robust standard error; CI, confidence interval; R, relative predictive power of model; SF-12, SF-12v2 Health Survey; min, minutes of time.
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(a) Predictive power of models trained on different combinations of features based on their functional importance.
You have the data volume needed to tap into the predictive power of models.
Removal of outliers improved the predictive power of models developed for all three structurally diverse classes of compounds.
Predictive power of models is one of the most important characteristics in QSAR modeling.
Predictive power of models was assessed using classification success rates.
It was found that the predictive power of models in respect of native and introduced distributions is strongly affected by the different environmental data sets applied [53].
We quantify the lack of good predictive power of models by using percentage errors.
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