Table 2 Analysis of variance results.
Algorithm | Number of water meters | \({\mathrm{MAE}}_{\mathrm{oM}}\) avg (%) | \({\mathrm{MAE}}_{\mathrm{oM}}\) avg with max. number of water meters (%) |
|---|---|---|---|
Decision tree | 13 | 12.9 | 11.8 |
FCNN | 14 | 9.4 | 8.7 |
KNN | 10 | 12.1 | 11.2 |
Random forest | 12 | 9.7 | 8.9 |
RNN | 13 | 8.7 | 8.1 |
SVR | 11 | 8.9 | 7.6 |
XGBoost | 11 | 10.1 | 8.9 |