Table 1 Comparison among results of different prediction models with clinical pregnancy in IVF/ICS and IUI treatment.

From: Internal validation and comparison of predictive models to determine success rate of infertility treatments: a retrospective study of 2485 cycles

Model

Treatment

PPV

Sensitivity

F1

Accuracy

AUC

BS

MCC

LR

IVF/ICSI

IUI

0.75

0.84

0.69

0.84

0.60

0.77

0.68

0.83

0.69

0.68

0.31

0.16

0.26

0.04

RF

IVF/ICSI

IUI

0.80

0.84

0.76

0.84

0.73

0.8

0.76

0.84

0.73

0.70

0.13

0.15

0.50

0.34

SVM

IVF/ICSI

IUI

0.42

0.68

0.65

0.82

0.51

0.75

0.64

0.82

0.5

0.64

0.35

0.17

0.00

0.00

MLP

IVF/ICSI

IUI

0.72

0.68

0.69

0.82

0.63

0.75

0.69

0.82

0.63

0.68

0.30

0.175

0.32

0.14

KNN

IVF/ICSI

IUI

0.74

0.77

0.74

0.81

0.71

0.78

0.74

0.81

0.50

0.64

0.23

0.15

0.06

0.24

GNB

IVF/ICSI

IUI

0.67

0.72

0.70

0.68

0.70

0.75

0.69

0.75

0.67

0.67

0.39

0.21

0.16

0.17

  1. PPV, Positive Predictive Value; AUC, Area Under ROC Curve; BS, Brier Score, MLP, Multi-Level Perceptron; SVM, Support Vector Machine; LR, Logistic Regression; RF, Random Forest; KNN, k-Nearest Neighbor; GNB, Gaussian NaĂŻve Bayes.