Table 4.
Prediction rates of transport modes in the Test sets before and after a posteriori homogenization
| Prediction ratesa (%) | ||||||
|---|---|---|---|---|---|---|
| Before homogenization | 1-min bandwidth | 2-min bandwidth | 3-min bandwidth | 4-min bandwidth | 5-min bandwidth | |
| Overall | 79 (57–88) | 86 (68–93) | 88 (66–94) | 89 (67–95) | 90 (67–95) | 90 (67–95) |
| Overall transport | 74 (41–89) | 76 (39–91) | 79 (42–92) | 80 (42–94) | 78 (40–95) | 77 (35–96) |
| Activity place | 80 (55–89) | 89 (68–95) | 90 (68–96) | 91 (69–97) | 91 (71–97) | 92 (71–97) |
| Bike | 92 (76–100) | 93 (77–100) | 95 (79–100) | 95 (80–100) | 95 (78–100) | 95 (77–100) |
| Private motorized | 69 (0–87) | 73 (0–92) | 77 (0–96) | 78 (0–96) | 79 (0–97) | 79 (15–100) |
| Public transport | 62 (0–90) | 63 (0–95) | 63 (0–95) | 65 (0–100) | 65 (0–100) | 66 (0–100) |
| Walking | 80 (28–95) | 81 (29–97) | 81 (23–97) | 82 (22–97) | 81 (21–98) | 78 (17–99) |
aPrediction rates presented as median prediction rates from 126 RF models with 2.5th and 97.5th percentiles in the parentheses. The overall prediction rate is from a model (with heart rate data) that is unweighted by category size, while the mode-specific prediction rates are from a corrected model (with heart rate data) applying a weight. Correction for category size entails modifying the cut-offs for prediction to the observed proportions of the categories, at the forest prediction step (when aggregating information from all trees). For the same tree predictions, a higher “proportion of votes” is reached for rarer categories in the weighted vs. unweighted model