Pipeline
Compete Name:expanding-sentences-window-logistic-regression
Pipeline Name:
Experimental Results
| Pipeline ID | Execution time | Memory | Score | Library & Version |
|---|---|---|---|---|
| 35760 | 122.6269109 | 1370.942358017 | 0.12571288696380598 | pandas,1.2.4 |
| 35760 | 122.6269109 | 1370.942358017 | 0.12571288696380598 | scikit-learn,1.0.1 |
| 35760 | 121.84437220000001 | 1518.3919305801 | 0.12571288696380598 | pandas,1.2.4 |
| 35760 | 121.84437220000001 | 1518.3919305801 | 0.12571288696380598 | scikit-learn,0.24.2 |
| 35760 | 122.7220355 | 1518.1899900436 | 0.12571288696380598 | pandas,1.2.4 |
| 35760 | 122.7220355 | 1518.1899900436 | 0.12571288696380598 | scikit-learn,0.23.2 |
| 35760 | 127.229314 | 1514.476890564 | 0.12618907743999647 | pandas,1.2.4 |
| 35760 | 127.229314 | 1514.476890564 | 0.12618907743999647 | scikit-learn,0.22.1 |
| 35760 | 125.5818836 | 1514.4723558426 | 0.12618907743999647 | pandas,1.2.4 |
| 35760 | 125.5818836 | 1514.4723558426 | 0.12618907743999647 | scikit-learn,0.22 |
| 35760 | 123.71871110000001 | 1514.3540639877 | 0.12618907743999647 | pandas,1.2.4 |
| 35760 | 123.71871110000001 | 1514.3540639877 | 0.12618907743999647 | scikit-learn,0.21.3 |
| 35760 | 122.4252918 | 1514.754737854 | 0.12618907743999647 | pandas,1.2.4 |
| 35760 | 122.4252918 | 1514.754737854 | 0.12618907743999647 | scikit-learn,0.20.3 |
| 35760 | 121.2011569 | 1514.9248962402 | 0.12571288696380598 | pandas,1.1.5 |
| 35760 | 121.2011569 | 1514.9248962402 | 0.12571288696380598 | scikit-learn,1.0.1 |
| 35760 | 120.5428312 | 1517.8261356354 | 0.12571288696380598 | pandas,1.1.5 |
| 35760 | 120.5428312 | 1517.8261356354 | 0.12571288696380598 | scikit-learn,0.24.2 |
| 35760 | 121.1778487 | 1517.6212863922 | 0.12571288696380598 | pandas,1.1.5 |
| 35760 | 121.1778487 | 1517.6212863922 | 0.12571288696380598 | scikit-learn,0.23.2 |
| 35760 | 122.0581803 | 1513.9103593826 | 0.12618907743999647 | pandas,1.1.5 |
| 35760 | 122.0581803 | 1513.9103593826 | 0.12618907743999647 | scikit-learn,0.22.1 |
| 35760 | 122.0230122 | 1513.906744957 | 0.12618907743999647 | pandas,1.1.5 |
| 35760 | 122.0230122 | 1513.906744957 | 0.12618907743999647 | scikit-learn,0.22 |
| 35760 | 122.451238 | 1513.7881383896 | 0.12618907743999647 | pandas,1.1.5 |
| 35760 | 122.451238 | 1513.7881383896 | 0.12618907743999647 | scikit-learn,0.21.3 |
| 35760 | 120.7469941 | 1514.1900787354 | 0.12618907743999647 | pandas,1.1.5 |
| 35760 | 120.7469941 | 1514.1900787354 | 0.12618907743999647 | scikit-learn,0.20.3 |
| 35760 | 125.6041065 | 1514.2837877274 | 0.12571288696380598 | pandas,1.0.5 |
| 35760 | 125.6041065 | 1514.2837877274 | 0.12571288696380598 | scikit-learn,1.0.1 |
| 35760 | 128.6682816 | 1517.1487522125 | 0.12571288696380598 | pandas,1.0.5 |
| 35760 | 128.6682816 | 1517.1487522125 | 0.12571288696380598 | scikit-learn,0.24.2 |
| 35760 | 125.1082726 | 1516.9458475113 | 0.12571288696380598 | pandas,1.0.5 |
| 35760 | 125.1082726 | 1516.9458475113 | 0.12571288696380598 | scikit-learn,0.23.2 |
| 35760 | 125.5840717 | 1513.2645788193 | 0.12618907743999647 | pandas,1.0.5 |
| 35760 | 125.5840717 | 1513.2645788193 | 0.12618907743999647 | scikit-learn,0.22.1 |
| 35760 | 125.1426371 | 1513.2599821091 | 0.12618907743999647 | pandas,1.0.5 |
| 35760 | 125.1426371 | 1513.2599821091 | 0.12618907743999647 | scikit-learn,0.22 |
| 35760 | 125.5977966 | 1513.1767511368 | 0.12618907743999647 | pandas,1.0.5 |
| 35760 | 125.5977966 | 1513.1767511368 | 0.12618907743999647 | scikit-learn,0.21.3 |
| 35760 | 130.1026008 | 1513.5073194504 | 0.12618907743999647 | pandas,1.0.5 |
| 35760 | 130.1026008 | 1513.5073194504 | 0.12618907743999647 | scikit-learn,0.20.3 |
| 35760 | 124.2313877 | 1514.204161644 | 0.12571288696380598 | pandas,0.25.3 |
| 35760 | 124.2313877 | 1514.204161644 | 0.12571288696380598 | scikit-learn,1.0.1 |
| 35760 | 124.57932170000001 | 1517.0729389191 | 0.12571288696380598 | pandas,0.25.3 |
| 35760 | 124.57932170000001 | 1517.0729389191 | 0.12571288696380598 | scikit-learn,0.24.2 |
| 35760 | 126.899894 | 1516.8627901077 | 0.12571288696380598 | pandas,0.25.3 |
| 35760 | 126.899894 | 1516.8627901077 | 0.12571288696380598 | scikit-learn,0.23.2 |
| 35760 | 128.7741554 | 1513.1671552658 | 0.12618907743999647 | pandas,0.25.3 |
| 35760 | 128.7741554 | 1513.1671552658 | 0.12618907743999647 | scikit-learn,0.22.1 |
| 35760 | 125.6756161 | 1513.1656341553 | 0.12618907743999647 | pandas,0.25.3 |
| 35760 | 125.6756161 | 1513.1656341553 | 0.12618907743999647 | scikit-learn,0.22 |
| 35760 | 124.46715959999999 | 1513.0868644714 | 0.12618907743999647 | pandas,0.25.3 |
| 35760 | 124.46715959999999 | 1513.0868644714 | 0.12618907743999647 | scikit-learn,0.21.3 |
| 35760 | 123.7622652 | 1513.417298317 | 0.12618907743999647 | pandas,0.25.3 |
| 35760 | 123.7622652 | 1513.417298317 | 0.12618907743999647 | scikit-learn,0.20.3 |
| 35760 | 125.6993482 | 1514.3192920685 | 0.12571288696380598 | pandas,0.24.2 |
| 35760 | 125.6993482 | 1514.3192920685 | 0.12571288696380598 | scikit-learn,1.0.1 |
| 35760 | 125.60211369999999 | 1517.1930360794 | 0.12571288696380598 | pandas,0.24.2 |
| 35760 | 125.60211369999999 | 1517.1930360794 | 0.12571288696380598 | scikit-learn,0.24.2 |
| 35760 | 127.6498053 | 1516.9811496735 | 0.12571288696380598 | pandas,0.24.2 |
| 35760 | 127.6498053 | 1516.9811496735 | 0.12571288696380598 | scikit-learn,0.23.2 |
| 35760 | 130.625508 | 1513.2486276627 | 0.12618907743999647 | pandas,0.24.2 |
| 35760 | 130.625508 | 1513.2486276627 | 0.12618907743999647 | scikit-learn,0.22.1 |
| 35760 | 127.8936319 | 1513.244764328 | 0.12618907743999647 | pandas,0.24.2 |
| 35760 | 127.8936319 | 1513.244764328 | 0.12618907743999647 | scikit-learn,0.22 |
| 35760 | 128.6599866 | 1513.1615791321 | 0.12618907743999647 | pandas,0.24.2 |
| 35760 | 128.6599866 | 1513.1615791321 | 0.12618907743999647 | scikit-learn,0.21.3 |
| 35760 | 125.4758149 | 1513.4925031662 | 0.12618907743999647 | pandas,0.24.2 |
| 35760 | 125.4758149 | 1513.4925031662 | 0.12618907743999647 | scikit-learn,0.20.3 |
| 35760 | 123.6650789 | 1513.1390590668 | 0.12571288696380598 | pandas,0.23.4 |
| 35760 | 123.6650789 | 1513.1390590668 | 0.12571288696380598 | scikit-learn,1.0.1 |
| 35760 | 120.71229389999999 | 1516.0126590729 | 0.12571288696380598 | pandas,0.23.4 |
| 35760 | 120.71229389999999 | 1516.0126590729 | 0.12571288696380598 | scikit-learn,0.24.2 |
| 35760 | 120.28714760000001 | 1515.7987442017 | 0.12571288696380598 | pandas,0.23.4 |
| 35760 | 120.28714760000001 | 1515.7987442017 | 0.12571288696380598 | scikit-learn,0.23.2 |
| 35760 | 120.69176189999999 | 1512.1002092361 | 0.12618907743999647 | pandas,0.23.4 |
| 35760 | 120.69176189999999 | 1512.1002092361 | 0.12618907743999647 | scikit-learn,0.22.1 |
| 35760 | 120.9527707 | 1512.0960493088 | 0.12618907743999647 | pandas,0.23.4 |
| 35760 | 120.9527707 | 1512.0960493088 | 0.12618907743999647 | scikit-learn,0.22 |
| 35760 | 123.66939579999999 | 1512.012550354 | 0.12618907743999647 | pandas,0.23.4 |
| 35760 | 123.66939579999999 | 1512.012550354 | 0.12618907743999647 | scikit-learn,0.21.3 |
| 35760 | 119.8040876 | 1512.33826828 | 0.12618907743999647 | pandas,0.23.4 |
| 35760 | 119.8040876 | 1512.33826828 | 0.12618907743999647 | scikit-learn,0.20.3 |
