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Implementing these niche and migration models results in a moderate predictive accuracy (average Kappa of 0.19).
Despite the moderate predictive accuracy, the resulting models have a good applicability.
This analysis confirmed a moderate predictive accuracy for the original (AUC-ROC 0.62, 95%% CI 0.54 0.71) and the recalibrated APPS (AUC-ROC 0.64, 95%% CI 0.55 0.73).
We find that gene expression based predictors of ALS (versus healthy controls) have moderate predictive accuracy (80%).
It is also interesting to note that logistic regression demonstrated moderate predictive accuracy (AUC = 0.7405) using these top 24 variables.
Longstanding and commonly used simple risk indices, such as the ASA-PS and RCRI, retain moderate predictive accuracy.
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Its predictive power was assessed using the Harrell's C-statistic and it was found to be of moderate prediction accuracy (C = 0.7).
However, good specificity, moderate prediction accuracy, comparable or higher accuracy as well as more efficient variable selection and data usage in comparison to the logit model, and positive and negative predictive values indicated that the model has potential in predicting mortality and very poor HRQoL in COPD patients.
This resulted in good calibration (Fig. 1; Table 4; Additional file 1: Figure E4, E5, P = 1.0), but predictive accuracy remained moderate (AUC-ROC 0.63, 95%% CI 0.58 0.68, Fig. 1).
Predictive accuracy was moderate for PM2.5 10 (CV R=0.46 across regions).
Predictive accuracy was moderate for weekly levels (CV R = 0.44), but increased considerably when evaluating only spatial variability (Table 1; spatial CV R = 0.73), and also increased when predicting only temporal variability (Table 1; temporal CV R = 0.71).
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