Таблица 1. Статистические параметры бинарной классификации BBB+/BBB- лекарств методом логистической регрессии.

Sets

N

Descriptors

TP

FN

TN

FP

Sens

Spec

Acc

MCC

training

CV

test

67

 

16

AlogP

32

32

6

8

8

4

14

14

5

13

13

1

0.800

0.800

0.600

0.519

0.519

0.833

0.687

0.687

0.688

0.333

0.333

0.423

training

CV

test

67

 

16

AlogP, HBD

34

34

5

6

6

5

16

12

6

11

12

0

0.850

0.850

0.500

0.593

0.556

1.000

0.748

0.731

0.688

0.462

0.429

0.522

training

CV

test

67

 

16

AlogP, HBD, MW

31

31

5

9

9

5

17

15

6

10

12

0

0.775

0.775

0.500

0.630

0.556

1.000

0.716

0.687

0.688

0.407

0.338

0.522

training

CV

test

67

 

16

AlogP, HBD, TPSA

34

34

6

6

6

4

20

20

6

7

7

0

0.850

0.850

0.600

0.741

0.741

1.000

0.806

0.806

0.750

0.595

0.595

0.600

training

CV

test

67

 

16

AlogP, HBD, MW, TPSA

33

32

6

7

8

4

20

19

6

7

8

0

0.825

0.800

0.600

0.741

0.704

1.000

0.791

0.761

0.750

0.566

0.504

0.600

training

CV

test

67

 

16

α, ∑Ca, ∑Cd

35

32

7

5

8

3

18

17

6

9

10

0

0.875

0.800

0.700

0.667

0.630

1.000

0.791

0.731

0.812

0.560

0.436

0.683