Research Article
Improved Correction of Atmospheric Pressure Data Obtained by Smartphones through Machine Learning
Table 4
Experimental environment and summary statistics.
| | Computer specifications | CPU | Intel Xeon CPU E5-2620 @ 2.10 GHz | | Memory | 8 GB |
| | Program | WEKA | Version 3.6.10 |
| | Running time (hh:mm:ss) | Clustering | 5:24:35 | | LR | 0:09:13 | | MLP | 5:54:04 | | SMOreg | 8:28:54 |
| | Data | Total number of AWS points | 26 | | Total number of smartphone users | 279 | | Total number of regression models | 670 | | Number of samples | Mean | 1,234.333/model | | Standard deviation | 387.935 | | Number of models | Mean | 2.401/user | | Standard deviation | 2.403 | | Number of users | Mean | 12.077/point | | Standard deviation | 13.683 |
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