Table 2.
Predictive accuracy metrics for the adjusted and unadjusted models of access and utilisation of GoK–MoH health services for the treatment of paediatric fevers
Model | Overall Accuracy† | Kappa κ‡ | P-value | 95% Confidence Interval |
---|---|---|---|---|
Euclidean | 0.72 | 0.71 | 0.00 | 0.70–0.72 |
Transport network-not adjusted for competition | 0.74 | 0.73 | 0.00 | 0.73–0.74 |
Transport network-adjusted for competition | 0.84 | 0.83 | 0.00 | 0.79–0.87 |
Overall accuracy: this is simply the number of correctly classified sample points divided by the total number of sample points
Kappa statistic (κ): is the chance-corrected measure of model accuracy, based on the actual agreement between predicted and observed values and the chance agreement between the row and column totals for each classification (Congalton & Green 1999). P-values reflect the probability that a model performs better than random chance at predicting the choice of a health facility