Pipeline
Compete Name:tps-feb-22-eda-predictions
Pipeline Name:
Experimental Results
| Pipeline ID | Execution time | Memory | Score | Library & Version |
|---|---|---|---|---|
| 36265 | 80.23608150000001 | 1844.4327335358 | 0.1007 | numpy,1.17.4 |
| 36265 | 80.23608150000001 | 1844.4327335358 | 0.1007 | scikit-learn,1.0.1 |
| 36265 | 83.2317566 | 1847.1735496521 | 0.1007 | numpy,1.17.4 |
| 36265 | 83.2317566 | 1847.1735496521 | 0.1007 | scikit-learn,0.24.2 |
| 36265 | 83.22288909999999 | 1846.738825798 | 0.1007 | numpy,1.17.4 |
| 36265 | 83.22288909999999 | 1846.738825798 | 0.1007 | scikit-learn,0.23.2 |
| 36265 | 80.7114378 | 1843.4362802505 | 0.1007 | numpy,1.17.4 |
| 36265 | 80.7114378 | 1843.4362802505 | 0.1007 | scikit-learn,0.22.1 |
| 36265 | 81.3328712 | 1843.4229736328 | 0.1007 | numpy,1.17.4 |
| 36265 | 81.3328712 | 1843.4229736328 | 0.1007 | scikit-learn,0.22 |
| 36265 | 82.0729728 | 1845.3305091858 | 0.1007 | numpy,1.18.5 |
| 36265 | 82.0729728 | 1845.3305091858 | 0.1007 | scikit-learn,1.0.1 |
| 36265 | 80.09285059999999 | 1848.083609581 | 0.1007 | numpy,1.18.5 |
| 36265 | 80.09285059999999 | 1848.083609581 | 0.1007 | scikit-learn,0.24.2 |
| 36265 | 80.51869429999999 | 1847.8926277161 | 0.1007 | numpy,1.18.5 |
| 36265 | 80.51869429999999 | 1847.8926277161 | 0.1007 | scikit-learn,0.23.2 |
| 36265 | 80.7125061 | 1844.3421783447 | 0.1007 | numpy,1.18.5 |
| 36265 | 80.7125061 | 1844.3421783447 | 0.1007 | scikit-learn,0.22.1 |
| 36265 | 81.33947789999999 | 1844.3267602921 | 0.1007 | numpy,1.18.5 |
| 36265 | 81.33947789999999 | 1844.3267602921 | 0.1007 | scikit-learn,0.22 |
| 36265 | 83.2759089 | 1845.4495897293 | 0.1007 | numpy,1.19.5 |
| 36265 | 83.2759089 | 1845.4495897293 | 0.1007 | scikit-learn,1.0.1 |
| 36265 | 81.0927618 | 1848.1996974945 | 0.1007 | numpy,1.19.5 |
| 36265 | 81.0927618 | 1848.1996974945 | 0.1007 | scikit-learn,0.24.2 |
| 36265 | 80.9760897 | 1848.0089302063 | 0.1007 | numpy,1.19.5 |
| 36265 | 80.9760897 | 1848.0089302063 | 0.1007 | scikit-learn,0.23.2 |
| 36265 | 81.93364020000001 | 1844.4595975876 | 0.1007 | numpy,1.19.5 |
| 36265 | 81.93364020000001 | 1844.4595975876 | 0.1007 | scikit-learn,0.22.1 |
| 36265 | 82.073252 | 1844.4431400299 | 0.1007 | numpy,1.19.5 |
| 36265 | 82.073252 | 1844.4431400299 | 0.1007 | scikit-learn,0.22 |
