Table 2 Classification results and contingency table for our decision tree model (n = 5,176)
From: Mining geriatric assessment data for in-patient fall prediction models and high-risk subgroups
decision tree model | |||||
|---|---|---|---|---|---|
Classification accuracy | 66.0% | ||||
sensitivity | 55.4% | Prediction | |||
specificity | 67.1% | No | yes | Sum | |
neg. predictive value | 93.5% | no fall | 3141 | 1542 | 4684 |
pos. predictive value | 15.0% | Fall | 220 | 273 | 493 |
AUC | 0.63 | Sum | 3361 | 1815 | 5176 |