Table 2 Example of a PreCount feature matrix divided into input and target feature sets
From: PreCount: a predictive model for correcting real-time occupancy count data
Days | Input feature set | Target feature set | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Calendar | Period of day | Raw count | Count error | |||||||||||||
d j | d n j | d t j | w e j | h j | \(pd_{d_{j}, s_{0}}\) | \(pd_{d_{j}, s_{1}}\) | … | \(pd_{d_{j}, s_{k}}\) | \(CC_{r_{d_{j},s_{0}}}\) | … | \(CC_{r_{d_{j},s_{1}}}\) | \(CC_{r_{d_{j},s_{k}}}\) | \(CC_{e_{d_{j},s_{k-10}}}\) | \(CC_{e_{d_{j},s_{k-9}}}\) | … | \(CC_{e_{d_{j},s_{k}}}\) |
2016-08-28 | 0 | 0 | 3 | 0 | 0 | 0 | … | 3 | 0 | … | 57 | 12 | 0 | -12 | … | 11 |
2016-09-01 | 1 | 1 | 3 | 0 | 0 | 4 | … | 3 | -2 | … | 65 | 32 | -7 | 0 | … | 2 |
2016-10-18 | 2 | 1 | 0 | 1 | 0 | 4 | … | 4 | 5 | … | 88 | 25 | 4 | 2 | … | 23 |
Today | 3 | 1 | 0 | 1 | 0 | 4 | … | 3 | -3 | … | 53 | 27 | ? | ? | … | ? |