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Table 4 Model accuracy of six algorithms. Random forest yielded slightly better accuracy using ‘all data’

From: Predicting factors for survival of breast cancer patients using machine learning techniques

No

Algorithm

Accuracy (%)

Sensitivity

Specificity

AUC

Precision

Matthews correlation coefficient

1

Decision tree

79.80

0.82

0.75

0.72

0.91

0.52

2

Random forest

82.70

0.83

0.81

0.86

0.93

0.59

3

Neural networks

82.00

0.83

0.79

0.84

0.93

0.58

4

Extreme boost

81.70

0.84

0.75

0.87

0.89

0.57

5

Logistic regression

81.10

0.82

0.78

0.85

0.92

0.55

6

Support vector machine

81.80

0.81

0.84

0.85

0.95

0.57