The use of Receiver Operator Characteristic (ROC) analysis for the sake of model selection and threshold optimisation has become a standard practice for the design of two-class pattern recognition systems.
(B ) Statistical support for different mechanisms from approximate Bayesian computation (ABC) model selection with thresholds ϵ 1,2,3,4 = 75, 60, 50, 45.
For this approach, the associations between each pair of variables (for example, all behavioural phenotypes versus all metabolites) were computed using the automated ARIMA model selection approach and thresholded at FDR q<0.05.
SF models are more prone to underfitting (high bias) problems than JF models, and more stringent selection threshold should be used in multiparental analysis (Blanc et al. 2008).
However, and as already noticed in [41], it is possible in certain cases to interpret a model selection estimate as a thresholding rule.
Strong covariance between tightly linked markers may increase the risk of selecting collinear markers, bias the QTL estimates, and possibly overfit the predictive model, especially when a relaxed selection threshold is applied (Bian et al. 2014b; Ogut et al. 2015).
ROC curve is a graphic arrangement to display the relationship between sensitivity and specificity, and it assists for best model selection by deciding the optimal threshold for the landslide assessment.
After model selection, users can define the threshold of output data by scrolling the correlation p value.
The level of occlusion is measured and compared with a predefined threshold for regression model selection for each frame.
For each training data set, QTL model selection was conducted using each significance threshold for each method.
