Results for the modern elastic net (ENET) for zero-inflated Poisson (ZIP) penalty method and traditional ZIP method
| Modern ENET for ZIP penalty method (n=13) Variable selection of count part Predictor name | Traditional ZIP method (n=11) Variable selection of count part Predictor name |
| Weight | |
| Sum of 4 sites skinfold thickness | Sum of 4 sites skinfold thickness |
| Time in activity | Time in activity |
| Training | Match |
| Conditioning | Grass |
| Artificial turf 3G | Artificial turf 3G |
| Previous injuries | Previous injuries |
| Acute:chronic workload ratio | Cumulative no of injuries |
| Total time match-play (3G) | Total time match-play (3G) |
| Total time trained (grass) | Total time trained (grass) |
| Total time (futsal) | Total time (futsal) |
| Total time (conditioning) | Total time (conditioning) |
| Yo-Yo fitness score |
| Modern ENET for ZIP penalty method (n=2) Variable selection of zero part Predictor name | Traditional ZIP method (n=5) Variable selection of zero part Predictor name |
| Match | Sum of 4 sites skinfold thickness |
| In-season injuries | Sandastro |
| Previous injuries | |
| Cumulative no of injuries | |
| Total time (conditioning) |