Table 2 Results of probabilistic Support Vector Machines.

From: A multi-source information fusion approach in tunnel collapse risk analysis based on improved Dempster–Shafer evidence theory

Tunnel section

m (I)

m (II)

m (III)

m (IV)

Predicted risk

Ture risk

No.1

0.14

0.60

0.18

0.08

II

II

No.2

0.02

0.02

0.94

0.02

III

III

No.3

0.04

0.91

0.03

0.01

II

II

No.4

0.64

0.30

0.06

0.00

I

II

No.5

0.04

0.91

0.03

0.02

II

II

No.6

0.03

0.91

0.04

0.02

II

II

No.7

0.07

0.87

0.04

0.02

II

II

No.8

0.91

0.03

0.03

0.03

I

I

No.9

0.45

0.50

0.02

0.03

II

I

No.10

0.83

0.09

0.04

0.04

I

I

No.11

0.03

0.89

0.05

0.03

II

II

No.12

0.01

0.93

0.01

0.05

II

III

No.13

0.87

0.08

0.03

0.02

I

I

No.14

0.92

0.04

0.02

0.02

I

I

No.15

0.05

0.91

0.02

0.01

II

II

No.16

0.87

0.08

0.02

0.02

I

I

No.17

0.05

0.90

0.03

0.02

II

II

No.18

0.86

0.08

0.03

0.03

I

I

No.19

0.91

0.03

0.03

0.03

I

I

No.20

0.03

0.91

0.04

0.02

II

II

  1. Significant values are in bold.