Table 2.
Legend of Experimental Results.
Label | Method | Description |
---|---|---|
OP-Priors | OutPredict-Priors | OutPredict uses (i) Time series(TS) with steady-state(SS) data integrated (TS + SS) in one big Random Forest, and (ii) Gold standard data as priors to bias the integrated Random Forests for time series and steady-state data. |
OP-TSonly | OutPredict-TimeSeriesOnly | No Priors: Time series alone; no other data. |
DynGenie3 | Dynamic Genie3 | settings and hyper-parameter optimization as described in9 |
NN | Neural Network | one hidden layer as described in13 |
Pen. Value | Penultimate Value | the second to last time points of each time series is used as the prediction for the last one. |