Table 3 The naïve Bayes classifiers for the time-lagged herring catch data with each group.

From: Bayesian Network Analysis reveals resilience of the jellyfish Aurelia aurita to an Irish Sea regime shift

70s

80s

90s

Group

Score change

IS with herring

Group

Score change

IS with herring

Group

Score change

IS with herring

Cold Temperate

− 1.9110

− 0.5455

Sub Arctic

− 0.9602

− 0.3077

Warm Temperate Ocean

− 4.0144

0.0000

NAO

− 0.7548

0.3791

Chlorophyll Concentration

-0.4704

− 0.3262

NAO

− 1.3775

− 0.4952

Sub Arctic

0.0000

− 0.1818

Cold Temperate

0.0000

0.125

Sub Arctic

− 0.9555

− 0.3636

Chlorophyll Concentration

0.0000

− 0.1818

Shelf Sea

0.0000

0.125

Cold Temperate

0.0000

0.0000

Warm Temperate Ocean

0.5628

− 0.1818

NAO

0.0000

− 0.5353

Chlorophyll Concentration

0.0000

− 0.3636

Temperature

0.7548

− 0.1818

Warm Temperate

0.4704

0.0000

Temperature

2.3330

0.0000

Warm Temperate

0.9055

− 0.6593

Warm Temperatecean

0.9602

0.125

Warm Temperate

2.7132

0.3808

Shelf Sea

1.9110

0.1818

Temperature

2.0665

− 0.286

Shelf Sea

3.0000

0.0000

  1. The more negative the change in score, the better the network fit to the data, which reflects an underlying dependency between the herring and the group.
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