Table 5 Classification between individuals with schizophrenia and TD.

From: Machine-learning classification using neuroimaging data in schizophrenia, autism, ultra-high risk and first-episode psychosis

 

Schizophrenia and TD

(Subcortical)

(Surface area)

(Cortical thickness)

(All features)

Classifier

Score (%)

Schi

ASD

All

Schi

ASD

All

Schi

ASD

All

Schi

ASD

All

Logistic regression

Mean accuracy

  

64.7

     

67.6

  

70.5

Recall score

65.2

63.6

    

69.5

63.6

 

69.5

72.7

 

Precision score

78.9

46.6

    

80.0

50.0

 

84.2

53.3

 

F1/F2 scores

71.4/67.5

53.8/59.3

    

74.4/71.4

56.0/60.3

 

76.1/72.0

61.5/67.7

 

Support vector machine

Mean accuracy

  

67.6

         

Recall score

73.9

54.5

          

Precision score

77.2

50.0

          

F1/ F2 scores

75.5/74.5

52.1/53.5

          

Random forest

Mean accuracy

  

76.4

         

Recall score

82.6

63.6

          

Precision score

82.6

63.6

          

F1/F2 scores

82.6

63.6

          

AdaBoost

Mean accuracy

  

73.5

         

Recall score

73.9

72.7

          

Precision score

85.0

57.1

          

F1/F2 scores

79.0/75.8

64.0/68.9

          

Decision tree

Mean accuracy

        

70.5

   

Recall score

      

73.9

63.6

    

Precision score

      

80.9

53.8

    

F1/F2 scores

      

77.2/75.2

58.3/61.4

    
  1. ASD autism spectrum disorder, TD typically developing, Schi schizophrenia, All whole brain or all features combined.