Pipeline
Compete Name:tabular-playground-aug-2021-random-forest
Pipeline Name:
Experimental Results
Pipeline ID | Execution time | Memory | Score | Library & Version |
---|---|---|---|---|
33303 | 31.618026399999998 | 802.1119194031 | 6.1859947722366115 | numpy,1.17.4 |
33303 | 31.618026399999998 | 802.1119194031 | 6.1859947722366115 | scikit-learn,1.0.1 |
33303 | 20.8205052 | 801.7953710556 | 6.1859947722366115 | numpy,1.17.4 |
33303 | 20.8205052 | 801.7953710556 | 6.1859947722366115 | scikit-learn,0.24.2 |
33303 | 26.3165315 | 801.5967082977 | 6.1859947722366115 | numpy,1.17.4 |
33303 | 26.3165315 | 801.5967082977 | 6.1859947722366115 | scikit-learn,0.23.2 |
33303 | 21.6656389 | 800.4485702515 | 6.1859947722366115 | numpy,1.17.4 |
33303 | 21.6656389 | 800.4485702515 | 6.1859947722366115 | scikit-learn,0.22.1 |
33303 | 22.0776728 | 800.4323101044 | 6.1859947722366115 | numpy,1.17.4 |
33303 | 22.0776728 | 800.4323101044 | 6.1859947722366115 | scikit-learn,0.22 |
33303 | 20.935992199999998 | 801.4452915192 | 6.1859947722366115 | numpy,1.17.4 |
33303 | 20.935992199999998 | 801.4452915192 | 6.1859947722366115 | scikit-learn,0.21.3 |
33303 | 21.1092373 | 799.6290712357 | 6.1859947722366115 | numpy,1.17.4 |
33303 | 21.1092373 | 799.6290712357 | 6.1859947722366115 | scikit-learn,0.20.3 |
33303 | 20.9650003 | 797.222284317 | 6.185994937019556 | numpy,1.17.4 |
33303 | 20.9650003 | 797.222284317 | 6.185994937019556 | scikit-learn,0.19.2 |
33303 | 20.9222578 | 802.1072149277 | 6.1859947722366115 | numpy,1.18.5 |
33303 | 20.9222578 | 802.1072149277 | 6.1859947722366115 | scikit-learn,1.0.1 |
33303 | 25.025089100000002 | 801.7947759628 | 6.1859947722366115 | numpy,1.18.5 |
33303 | 25.025089100000002 | 801.7947759628 | 6.1859947722366115 | scikit-learn,0.24.2 |
33303 | 24.627877599999998 | 801.5970888138 | 6.1859947722366115 | numpy,1.18.5 |
33303 | 24.627877599999998 | 801.5970888138 | 6.1859947722366115 | scikit-learn,0.23.2 |
33303 | 21.3057411 | 800.4482622147 | 6.1859947722366115 | numpy,1.18.5 |
33303 | 21.3057411 | 800.4482622147 | 6.1859947722366115 | scikit-learn,0.22.1 |
33303 | 27.5344964 | 800.4320020676 | 6.1859947722366115 | numpy,1.18.5 |
33303 | 27.5344964 | 800.4320020676 | 6.1859947722366115 | scikit-learn,0.22 |
33303 | 22.012199799999998 | 801.4444236755 | 6.1859947722366115 | numpy,1.18.5 |
33303 | 22.012199799999998 | 801.4444236755 | 6.1859947722366115 | scikit-learn,0.21.3 |
33303 | 24.431499600000002 | 799.6279907227 | 6.1859947722366115 | numpy,1.18.5 |
33303 | 24.431499600000002 | 799.6279907227 | 6.1859947722366115 | scikit-learn,0.20.3 |
33303 | 24.089828999999998 | 797.2216072083 | 6.185994937019556 | numpy,1.18.5 |
33303 | 24.089828999999998 | 797.2216072083 | 6.185994937019556 | scikit-learn,0.19.2 |
33303 | 24.216745799999998 | 802.2331190109 | 6.1859947722366115 | numpy,1.19.5 |
33303 | 24.216745799999998 | 802.2331190109 | 6.1859947722366115 | scikit-learn,1.0.1 |
33303 | 21.259529200000003 | 801.9157857895 | 6.1859947722366115 | numpy,1.19.5 |
33303 | 21.259529200000003 | 801.9157857895 | 6.1859947722366115 | scikit-learn,0.24.2 |
33303 | 22.9922596 | 801.7183094025 | 6.1859947722366115 | numpy,1.19.5 |
33303 | 22.9922596 | 801.7183094025 | 6.1859947722366115 | scikit-learn,0.23.2 |
33303 | 21.5385183 | 800.5698738098 | 6.1859947722366115 | numpy,1.19.5 |
33303 | 21.5385183 | 800.5698738098 | 6.1859947722366115 | scikit-learn,0.22.1 |
33303 | 26.3433673 | 800.5530166626 | 6.1859947722366115 | numpy,1.19.5 |
33303 | 26.3433673 | 800.5530166626 | 6.1859947722366115 | scikit-learn,0.22 |
33303 | 24.191844 | 801.5650997162 | 6.1859947722366115 | numpy,1.19.5 |
33303 | 24.191844 | 801.5650997162 | 6.1859947722366115 | scikit-learn,0.21.3 |
33303 | 20.6788115 | 799.7483758926 | 6.1859947722366115 | numpy,1.19.5 |
33303 | 20.6788115 | 799.7483758926 | 6.1859947722366115 | scikit-learn,0.20.3 |
33303 | 24.529642 | 797.3423490524 | 6.185994937019556 | numpy,1.19.5 |
33303 | 24.529642 | 797.3423490524 | 6.185994937019556 | scikit-learn,0.19.2 |