Skip to main content

Table 2 Positive predicted value comparisons for the single-objective algorithms and multi-objective algorithms.

From: Penalized likelihood and multi-objective spatial scans for the detection and inference of irregular clusters

cluster

NP

GC

NC

DN

MGC

MNC

MDN

A

0.624

0.578

0.665

0.619

0.803

0.711

0.666

B

0.699

0.691

0.786

0.765

0.781

0.821

0.755

C

0.625

0.344

0.659

0.582

0.716

0.734

0.676

D

0.696

0.616

0.771

0.734

0.751

0.803

0.743

E

0.719

0.633

0.762

0.704

0.760

0.785

0.740

F

0.664

0.314

0.650

0.565

0.710

0.729

0.714

NY

0.898

0.621

0.929

0.941

0.918

0.942

0.928

BOS

0.781

0.389

0.827

0.861

0.891

0.854

0.825

D.C.

0.788

0.518

0.865

0.887

0.931

0.882

0.847