Pipeline
Compete Name:create-4-extratreeclassifiers-based-on-gcd-values
Pipeline Name:
Experimental Results
| Pipeline ID | Execution time | Memory | Score | Library & Version |
|---|---|---|---|---|
| 36198 | 63.196701499999996 | 2527.2892427444 | 0.099525 | pandas,1.2.4 |
| 36198 | 63.196701499999996 | 2527.2892427444 | 0.099525 | scikit-learn,1.0.1 |
| 36198 | 63.3964995 | 2535.3310651779 | 0.099525 | pandas,1.2.4 |
| 36198 | 63.3964995 | 2535.3310651779 | 0.099525 | scikit-learn,0.24.2 |
| 36198 | 63.4010886 | 2535.12641716 | 0.099525 | pandas,1.2.4 |
| 36198 | 63.4010886 | 2535.12641716 | 0.099525 | scikit-learn,0.23.2 |
| 36198 | 65.0014922 | 2533.9695501328 | 0.099525 | pandas,1.2.4 |
| 36198 | 65.0014922 | 2533.9695501328 | 0.099525 | scikit-learn,0.22.1 |
| 36198 | 63.1537455 | 2533.9502639771 | 0.099525 | pandas,1.2.4 |
| 36198 | 63.1537455 | 2533.9502639771 | 0.099525 | scikit-learn,0.22 |
| 36198 | 61.6954931 | 2601.3230962753 | 0.099425 | pandas,1.2.4 |
| 36198 | 61.6954931 | 2601.3230962753 | 0.099425 | scikit-learn,0.21.3 |
| 36198 | 59.498162900000004 | 2599.4877901077 | 0.099425 | pandas,1.2.4 |
| 36198 | 59.498162900000004 | 2599.4877901077 | 0.099425 | scikit-learn,0.20.3 |
| 36198 | 60.216432399999995 | 2580.3573265076 | 0.099425 | pandas,1.2.4 |
| 36198 | 60.216432399999995 | 2580.3573265076 | 0.099425 | scikit-learn,0.19.2 |
| 36198 | 60.861117 | 2526.469244957 | 0.099425 | pandas,1.1.5 |
| 36198 | 60.861117 | 2526.469244957 | 0.099425 | scikit-learn,1.0.1 |
| 36198 | 61.0291473 | 2534.5022544861 | 0.099425 | pandas,1.1.5 |
| 36198 | 61.0291473 | 2534.5022544861 | 0.099425 | scikit-learn,0.24.2 |
| 36198 | 60.6646764 | 2534.3057632446 | 0.099425 | pandas,1.1.5 |
| 36198 | 60.6646764 | 2534.3057632446 | 0.099425 | scikit-learn,0.23.2 |
| 36198 | 61.0863091 | 2533.1424484253 | 0.099425 | pandas,1.1.5 |
| 36198 | 61.0863091 | 2533.1424484253 | 0.099425 | scikit-learn,0.22.1 |
| 36198 | 60.081345400000004 | 2533.0965118408 | 0.099425 | pandas,1.1.5 |
| 36198 | 60.081345400000004 | 2533.0965118408 | 0.099425 | scikit-learn,0.22 |
| 36198 | 62.0477488 | 2600.5072937012 | 0.099525 | pandas,1.1.5 |
| 36198 | 62.0477488 | 2600.5072937012 | 0.099525 | scikit-learn,0.21.3 |
| 36198 | 60.837933 | 2598.6570243835 | 0.099525 | pandas,1.1.5 |
| 36198 | 60.837933 | 2598.6570243835 | 0.099525 | scikit-learn,0.20.3 |
| 36198 | 61.7405783 | 2578.3455038071 | 0.099525 | pandas,1.1.5 |
| 36198 | 61.7405783 | 2578.3455038071 | 0.099525 | scikit-learn,0.19.2 |
