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Area under the curve.
| Area | Std. Errora | Asymptotic Sig.b | Asymptotic 95% Confidence Interval |
|
|---|---|---|---|---|
| Lower Bound | Upper Bound | |||
| 0.78 | 0.083 | 0.004 | 0.614 | 0.940 |
A random classifier has an area of 0.5, while and ideal one has an area of 1.
Under the nonparametric assumption.
Null hypothesis: true area = 0.5.
