Pipeline
Compete Name:2eme-partie-projet
Pipeline Name:
Experimental Results
Pipeline ID | Execution time | Memory | Score | Library & Version |
---|---|---|---|---|
36572 | 2.5537878 | 61.2087936401 | 0.7916256157635468 | pandas,0.23.4 |
36572 | 2.5537878 | 61.2087936401 | 0.7916256157635468 | scikit-learn,1.0.1 |
36572 | 2.6191673 | 63.9864635468 | 0.7916256157635468 | pandas,0.23.4 |
36572 | 2.6191673 | 63.9864635468 | 0.7916256157635468 | scikit-learn,0.24.2 |
36572 | 2.656789 | 63.7988700867 | 0.7916256157635468 | pandas,0.23.4 |
36572 | 2.656789 | 63.7988700867 | 0.7916256157635468 | scikit-learn,0.23.2 |
36572 | 2.8007517 | 60.3124551773 | 0.7916256157635468 | pandas,0.23.4 |
36572 | 2.8007517 | 60.3124551773 | 0.7916256157635468 | scikit-learn,0.22.1 |
36572 | 2.7424643 | 60.3074464798 | 0.7916256157635468 | pandas,0.23.4 |
36572 | 2.7424643 | 60.3074464798 | 0.7916256157635468 | scikit-learn,0.22 |
36572 | 2.7516848 | 62.412894249 | 0.7916256157635468 | pandas,0.24.2 |
36572 | 2.7516848 | 62.412894249 | 0.7916256157635468 | scikit-learn,1.0.1 |
36572 | 3.0195492 | 65.1965522766 | 0.7916256157635468 | pandas,0.24.2 |
36572 | 3.0195492 | 65.1965522766 | 0.7916256157635468 | scikit-learn,0.24.2 |
36572 | 2.9731247 | 65.0127019882 | 0.7916256157635468 | pandas,0.24.2 |
36572 | 2.9731247 | 65.0127019882 | 0.7916256157635468 | scikit-learn,0.23.2 |
36572 | 2.9613757 | 61.5275888443 | 0.7916256157635468 | pandas,0.24.2 |
36572 | 2.9613757 | 61.5275888443 | 0.7916256157635468 | scikit-learn,0.22.1 |
36572 | 2.9197162999999997 | 61.5248060226 | 0.7916256157635468 | pandas,0.24.2 |
36572 | 2.9197162999999997 | 61.5248060226 | 0.7916256157635468 | scikit-learn,0.22 |
36572 | 2.9462308999999998 | 62.2294387817 | 0.7916256157635468 | pandas,0.25.3 |
36572 | 2.9462308999999998 | 62.2294387817 | 0.7916256157635468 | scikit-learn,1.0.1 |
36572 | 2.9409261 | 65.0133161545 | 0.7916256157635468 | pandas,0.25.3 |
36572 | 2.9409261 | 65.0133161545 | 0.7916256157635468 | scikit-learn,0.24.2 |
36572 | 2.9480229999999996 | 64.8283290863 | 0.7916256157635468 | pandas,0.25.3 |
36572 | 2.9480229999999996 | 64.8283290863 | 0.7916256157635468 | scikit-learn,0.23.2 |
36572 | 2.9012829 | 61.3347635269 | 0.7916256157635468 | pandas,0.25.3 |
36572 | 2.9012829 | 61.3347635269 | 0.7916256157635468 | scikit-learn,0.22.1 |
36572 | 2.904236 | 61.3320446014 | 0.7916256157635468 | pandas,0.25.3 |
36572 | 2.904236 | 61.3320446014 | 0.7916256157635468 | scikit-learn,0.22 |
36572 | 2.8193737 | 62.3400163651 | 0.7916256157635468 | pandas,1.0.5 |
36572 | 2.8193737 | 62.3400163651 | 0.7916256157635468 | scikit-learn,1.0.1 |
36572 | 2.9117736 | 65.0843639374 | 0.7916256157635468 | pandas,1.0.5 |
36572 | 2.9117736 | 65.0843639374 | 0.7916256157635468 | scikit-learn,0.24.2 |
36572 | 2.8681411 | 64.8998451233 | 0.7916256157635468 | pandas,1.0.5 |
36572 | 2.8681411 | 64.8998451233 | 0.7916256157635468 | scikit-learn,0.23.2 |
36572 | 2.7652079 | 61.4223108292 | 0.7916256157635468 | pandas,1.0.5 |
36572 | 2.7652079 | 61.4223108292 | 0.7916256157635468 | scikit-learn,0.22.1 |
36572 | 2.7511413 | 61.4171466827 | 0.7916256157635468 | pandas,1.0.5 |
36572 | 2.7511413 | 61.4171466827 | 0.7916256157635468 | scikit-learn,0.22 |
36572 | 2.9132396 | 62.4542913437 | 0.7916256157635468 | pandas,1.1.5 |
36572 | 2.9132396 | 62.4542913437 | 0.7916256157635468 | scikit-learn,1.0.1 |
36572 | 2.8455633 | 65.2029037476 | 0.7916256157635468 | pandas,1.1.5 |
36572 | 2.8455633 | 65.2029037476 | 0.7916256157635468 | scikit-learn,0.24.2 |
36572 | 2.8437446 | 65.0183067322 | 0.7916256157635468 | pandas,1.1.5 |
36572 | 2.8437446 | 65.0183067322 | 0.7916256157635468 | scikit-learn,0.23.2 |
36572 | 2.8131363 | 61.5697240829 | 0.7916256157635468 | pandas,1.1.5 |
36572 | 2.8131363 | 61.5697240829 | 0.7916256157635468 | scikit-learn,0.22.1 |
36572 | 2.7365488 | 61.5646219254 | 0.7916256157635468 | pandas,1.1.5 |
36572 | 2.7365488 | 61.5646219254 | 0.7916256157635468 | scikit-learn,0.22 |
36572 | 2.8923954 | 63.3561677933 | 0.7916256157635468 | pandas,1.2.4 |
36572 | 2.8923954 | 63.3561677933 | 0.7916256157635468 | scikit-learn,1.0.1 |
36572 | 2.8526581 | 66.1305065155 | 0.7916256157635468 | pandas,1.2.4 |
36572 | 2.8526581 | 66.1305065155 | 0.7916256157635468 | scikit-learn,0.24.2 |
36572 | 2.9150382 | 65.9456129074 | 0.7916256157635468 | pandas,1.2.4 |
36572 | 2.9150382 | 65.9456129074 | 0.7916256157635468 | scikit-learn,0.23.2 |
36572 | 2.7758656 | 62.4643802643 | 0.7916256157635468 | pandas,1.2.4 |
36572 | 2.7758656 | 62.4643802643 | 0.7916256157635468 | scikit-learn,0.22.1 |
36572 | 2.8855823999999997 | 62.4586076736 | 0.7916256157635468 | pandas,1.2.4 |
36572 | 2.8855823999999997 | 62.4586076736 | 0.7916256157635468 | scikit-learn,0.22 |