Table 4 The application of the model in predicting the IF for thirty different samples.

From: Machine-learning-based predictions of imprinting quality using ensemble and non-linear regression algorithms

IF real

IF predicted

IF real

IF predicted

IF real

IF predicted

1.800

1.680

9.980

9.870

1.920

1.860

2.170

2.140

4.950

4.860

1.080

1.010

7.100

6.790

1.380

1.290

1.220

1.020

2.910

1.950

1.140

1.080

2.530

2.480

2.910

2.760

1.690

1.390

2.770

2.650

1.690

1.440

2.470

2.090

1.80

1.750

1.990

1.790

1.360

1.020

2.150

2.080

1.000

1.010

1.050

1.010

7.300

7.010

1.120

1.090

1.460

1.400

1.140

1.050

5.890

5.760

2.960

2.890

4.720

4.690