Skip to main content

Table 2 Classification rules predicting neuroblastoma patients' outcome on the bases of INRG risk factors

From: Logic Learning Machine creates explicit and stable rules stratifying neuroblastoma patients

Rule IDa

 

INSS stage

MYCN status

Age at diagnosis (Years)

 

Predicted Outcome

Covering b (%)

Error c (%)

Risk group d

2.1

IF (

{1, 3, 4, 4s}

amplified

≥1

)THEN

Poor

50

1.5

HR

2.2

IF (

{4}

_

≥1

)THEN

Poor

90

13

HR

2.3

IF (

{1, 2, 4s}

_

<1

)THEN

Good

68

1.9

LR

2.4

IF (

{1,2,3,4s}

normal

_

)THEN

Good

81

3.9

LR

2.5

IF (

_

_

<1

)THEN

Good

65

0

LR,IR

  1. a The Rule ID is composed by the table number followed by a dot and the rule number.
  2. b Covering is the fraction of examples in the training set that verify the rule and belong to the target class.
  3. C Error is the fraction of examples in the training set that satisfy the rule and do not belong to the target class.
  4. d The risk assessment is based on INRG classification taking into consideration only INSS stage, MYCN status and Age at diagnosis. HR = High Risk; IR = Intermediate Risk; LR = Low Risk.