Table 6 Performance metrics of various Gas quantification algorithms.

From: Synthesis and characterization of hematite nanomaterials imprinted with acetone, ethanol and methanol for AI-Based IoT gas sensor arrays

Model

Gas Name

RMS

MSE

MAE

NRMS

R2

LOD

LOQ

SD

CNN-LSTM

Acetone

24.24

587.6

20.1

0.009973

0.998

40.626

135.422

13.5422

Ethanol

23.65

559.38

18.241

0.0094

0.998

45.16

150.53

18.518

Methanol

11.698

1063.23

23.33

0.01311

0.997

68.33

227.78

22.78

PCA& CNN-LSTM

Acetone

2.4516

6.01

2.054

0.0009

0.9999

4.42

13.4

1.33769

Ethanol

0.29

0.086

0.221

0.000118

0.9999

1.23

3.72995

0.292

Methanol

1.8

3.3

1.52

0.00073

0.9999

3.46

10.49

1.04

PCA&XGBOOST

Acetone

3.2

10.29

2.714

0.0012

0.9999

10.2

30.9

0.48452

Ethanol

5.67

32.2

4.1

0.00229

0.9999

15.45

46.83

4.654

Methanol

0.488

0.238

0.399

0.000197

0.9999

1.1

3.35

0.3354

RF

Acetone

0.641

0.411

0.56

0.00026

0.9999

2.1

6.389

0.6385

Ethanol

0.6293

0.397

0.532

0.00054

0.9999

1.51

4.5778

0.4577

Methanol

0.492

0.242

0.37

0.00019

0.9999

1.6122

4.885

0.4885

RF&GB

Acetone

5.1 × 10−13

2.62 × 10−25

3.8 × 10−13

2.05 × 10−16

1

1.12

3.394

4.13 × 10−13

Ethanol

5 × 10−13

2.48 × 10−25

4.3 × 10−13

2 × 10−16

1

1.2 × 10−15

3.7 × 10−15

4.5 × 10−13

Methanol

9.1 × 10−14

8.25 × 10−27

4.6 × 10−14

3.65 × 10−17

1

2.4 × 10−16

7.3 × 10−16

9 × 10−14

RF-GB-NN

Acetone

0.6

0.349

0.4739

0.00023

0.9999

0.00153

0.00463

0.5682

Ethanol

0.637

0.406

0.5394

0.000255

0.9999

0.00143

0.004334

0.531

Methanol

0.56

0.317

0.4346

0.0002

0.9999

0.0014

0.00448

0.5557