Table 1 Description of data.

From: Advanced machine learning models for the prediction of ceramic tiles’ properties during the firing stage

 

Sand (%)

Silt (%)

Clay (%)

LOI (%)

SiO2 (%)

Al2O3 (%)

Fe2O3(%)

CaO (%)

MgO (%)

Na2O (%)

K2O (%)

SO3 (%)

P2O5 (%)

MnO (%)

TiO2 (%)

Clay minerals (%)

Qz + feldspars (%)

Carbonates (%)

FT oC)

WA (%)

BS (Mpa)

count

312

312

312

312

312

312

312

312

312

312

312

312

312

312

312

312

312

312

312

312

312

min

3.00

19.0

11.0

2.7

48.8

18.9

1.0

0.1

0.6

0.2

0.6

0.0

0.0

0.0

0.6

22.4

20.5

0.0

1000

0.1

2.1

25%

13.00

46.0

24.0

5.2

60.6

20.4

1.4

0.2

1.0

0.2

2.5

0.0

0.0

0.0

0.7

42.3

42.7

0.0

1100

3.2

22.4

50%

21.00

51.0

28.0

5.8

65.3

21.3

1.6

0.3

1.2

0.3

3.0

0.0

0.0

0.0

0.7

49.0

48.1

0.0

1200

4.5

28.6

75%

23.25

54.0

34.0

7.5

66.9

23.5

2.1

0.4

1.3

0.4

3.1

0.0

0.1

0.0

0.8

54.1

57.2

0.0

1250

7.4

35.0

max

63.00

69.0

64.0

16.2

72.0

29.2

3.3

1.9

2.1

0.6

4.2

0.9

0.1

0.1

1.2

83.0

68.2

2.5

1300

12.1

53.6

mean

20.50

49.7

29.8

7.2

62.9

22.4

1.8

0.3

1.2

0.3

2.7

0.0

0.1

0.0

0.8

48.4

47.6

0.2

1190

5.1

29.0

std

11.08

8.3

9.7

3.3

5.9

2.7

0.5

0.2

0.2

0.1

0.8

0.1

0.0

0.0

0.1

10.0

10.9

0.4

69

2.6

9.7