Table 4 Logistic regression results for classifying normal (NSS) versus alarmed (SS) behavior given the average speed, duration of immobility, and Intra-Individual BDD (IIBDD), respectively. Regression outputs less than 0.5 are classified as NSS and those greater than 0.5 are classified as SS. Incorrect classifications are indicated with bold font.

From: Computational geometric tools for quantitative comparison of locomotory behavior

Subject

Speed Classification

Immobility Classification

IIBDD Classification

NSS 01

NSS (0.189)

NSS (0.069)

NSS (0.065)

NSS 02

NSS (0.222)

NSS (0.074)

SS (0.754)

NSS 03

SS (0.764)

SS (0.658)

NSS (0.437)

NSS 04

NSS (0.218)

NSS (0.137)

NSS (0.152)

NSS 05

SS (0.760)

SS (0.804)

NSS (0.411)

NSS 06

NSS (0.209)

NSS (0.045)

NSS (0.063)

NSS 07

NSS (0.309)

NSS (0.080)

NSS (0.038)

NSS 08

NSS (0.029)

NSS (0.056)

NSS (0.009)

NSS 09

NSS (0.141)

NSS (0.052)

NSS (0.032)

NSS 10

NSS (0.251)

NSS (0.074)

NSS (0.009)

NSS 11

NSS (0.147)

NSS (0.045)

NSS (0.006)

NSS 12

SS (0.593)

NSS (0.120)

NSS (0.447)

NSS 13

SS (0.591)

NSS (0.347)

NSS (0.257)

NSS 14

SS (0.523)

NSS (0.267)

SS (0.806)

NSS 15

NSS (0.119)

NSS (0.049)

NSS (0.031)

NSS 16

NSS (0.108)

NSS (0.074)

NSS (0.193)

NSS 17

NSS (0.332)

NSS (0.056)

NSS (0.085)

NSS 18

NSS (0.118)

NSS (0.056)

NSS (0.297)

SS 01

SS (0.507)

SS (0.998)

SS (0.988)

SS 03

SS (0.866)

SS (1.000)

SS (0.889)

SS 04

NSS (0.380)

SS (0.791)

SS (0.966)

SS 05

SS (0.864)

SS (0.998)

SS (1.000)

SS 06

SS (0.960)

SS (1.000)

SS (0.613)

SS 07

SS (0.636)

SS (0.874)

SS (0.847)

SS 08

NSS (0.405)

SS (0.952)

NSS (0.323)

SS 09

SS (0.816)

SS (0.927)

SS (0.518)

SS 10

NSS (0.140)

NSS (0.188)

SS (0.534)

SS 14

SS (0.757)

NSS (0.493)

SS (0.635)

SS 15

SS (0.782)

SS (0.998)

SS (0.993)

SS 16

SS (0.872)

SS (1.000)

SS (1.000)

SS 17

SS (0.779)

SS (0.813)

SS (0.986)

SS 20

SS (0.907)

SS (1.000)

NSS (0.266)

SS 21

NSS (0.132)

NSS (0.200)

SS (1.000)

SS 22

SS (0.962)

SS (1.000)

SS (1.000)

SS 23

SS (0.970)

SS (1.000)

SS (1.000)

SS 24

SS (0.607)

SS (0.512)

NSS (0.349)

Accuracy

75%

86%

86%