Country specific classification tree models compared to the generic tree model.
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https://figshare.com/articles/dataset/_Country_specific_classification_tree_models_compared_to_the_generic_tree_model_/1186547
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Note: Country Specific Model refers to the classification trees presented in Figure 2; Generic Model refers to the overarching model presented in Figure 1; Accuracy indicates the proportion of correctly classified cases, with associated confidence interval; Difference in accuracy between Country Specific Model and Generic Model was tested using a 2-sided Chi-Square test; Sensitivity = [number of correctly classified CAST ≥7]/[number of CAST ≥7 in sample]; Specificity = [number of correctly classified CAST <7]/[number of CAST <7 in sample]; Positive predictive value = [number of correctly classified CAST ≥7]/[all classified CAST ≥7]; Negative predictive value = [number of correctly classified CAST <7]/[all classified CAST <7]. The country datasets contain both participants from the training and the validation dataset.
Country specific classification tree models compared to the generic tree model.
创建时间:
2014-09-29



