Table 8.
Variables | Median MASE | ||||
---|---|---|---|---|---|
1 GRU | 5 GRU | 10 GRU | 20 GRU | 50 GRU | |
CIT. BIG PHARMA | 0.46 | 0.42 | 0.42 | 0.41 | 0.42 |
CIT. MED. PHARMA | 0.51 | 0.50 | 0.47 | 0.48 | 0.48 |
CIT. REVIEWS | 0.38 | 0.30 | 0.25 | 0.24 | 0.26 |
CIT. TRIALS | 0.45 | 0.45 | 0.43 | 0.43 | 0.43 |
CITATIONS | 0.39 | 0.26 | 0.21 | 0.23 | 0.25 |
PUB. BIG PHARMA | 0.66 | 0.58 | 0.56 | 0.54 | 0.55 |
PUB. MED. PHARMA | 0.76 | 0.63 | 0.56 | 0.55 | 0.55 |
PUBLICATIONS | 0.48 | 0.33 | 0.26 | 0.26 | 0.26 |
REVIEWS | 0.53 | 0.52 | 0.50 | 0.46 | 0.50 |
Global performance of the RNN model. Mean accuracy scaled error (MASE) is an unbiased method to compare time-series prediction models by comparing how much each model out-performs a naive model that repeats the last value. Values below 0 indicate that the method performs better than the naive model. Data for 13,380 human genes.