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Table 2 Bayes factors and Akaike weights reveal differences in model fitness for the different partitioning strategies applied to the concatenated, multilocus dataset

From: Phylogenetic relationships among Staphylococcus species and refinement of cluster groups based on multilocus data

M1↓

a2ΔlnB10

Akaike Weight

M0→

MB1

MB2

MB3

MB4

MB5

MB6

MB7

MB8

MB9

MB1

---

412.11

700.90

2371.08

2584.86

2462.04

2818.59

603.91

891.39

0.000

MB2

−412.11

---

288.79

1958.97

2172.74

2049.93

2406.48

191.80

479.28

0.000

MB3

−700.90

−288.79

---

1670.18

1883.96

1761.14

2117.70

−96.99

190.49

0.000

MB4

−2371.08

−1958.97

−1670.18

---

213.77

90.96

447.51

−1767.17

−1479.69

0.000

MB5

−2584.86

−2172.74

−1883.96

−213.77

---

−122.82

233.74

−1980.95

−1693.46

1.000

MB6

−2462.04

−2049.93

−1761.14

−90.96

122.82

---

356.56

−1858.13

−1570.65

0.000

MB7

−2818.59

−2406.48

−2117.70

−447.51

−233.74

−356.56

---

−2214.68

−1927.20

0.000

MB8

−603.91

−191.80

96.99

1767.17

1980.95

1858.13

2214.68

---

287.48

0.000

MB9

−891.39

−479.28

−190.49

1479.69

1693.46

1570.65

1927.20

−287.48

---

0.000

  1. aPositive Bayes factors (2ΔlnB10) support model M0 over model M1 and negative values support model M1 over model M0. Bayes factor support values >10 are shown in bold.