Table 1. The parameters of linear regression equations that predict the values of ωn+ and log(Сn/m)obtained during learning and in the leave-one-out procedure.

Set number

Note

Predicted value

n

R2L

SEML

Q2

SEMLOO

1.

Variant 1

ω1+

557

0.2

0.031

-

-

2.

Variant 1

ω2+

557

0.53

0.208

0.5

0.214

3.

Variant 1

ω3+

557

0.35

0.229

-

-

4.

Variant 1

ω4+

557

0.29

0.08

-

-

5.

Variant 2

ω1+

148

0.45

0.44

0.3

0.051

6.

Variant 2

ω2+

300

0.64

0.153

0.59

0.162

7.

Variant 2

ω3+

177

0.47

0.107

0.29

0.130

8.

Variant 2

ω4+

29

-

-

-

-

9.

  

log(C1/2)

148

0.65

0.183

0.51

0.216

10.

 

log(C2/3)

161

0.55

0.384

0.45

0.42

11.

 

log(C3/4)

25

-

-

-

-

Note. R2L: R2 in the learning procedure; SEML: standard error of the mean in the learning procedure; n: number of observation in the learning procedure; Q2: Q2 in the leave-one-out procedure; SEMLOO: standard error of the mean in the leave-one-out procedure. Variant 1: the observation with values 0 or 1 were used. Variant 2: the observation with the values 0 or 1 were omitted. The calculations were not performed if the number of observations was less than 60 or R2 in the learning procedure was less than 0.4.