OpenML
Supervised Classification on analcatdata_dmft

Supervised Classification on analcatdata_dmft

Task 4265 Supervised Classification analcatdata_dmft 183 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5371, f_measure: 0.2026, kappa: 0.0402, kb_relative_information_score: 893.5248, mean_absolute_error: 0.2717, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.2058, predictive_accuracy: 0.202, prior_entropy: 2.5803, recall: 0.202, relative_absolute_error: 0.9793, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.4001, root_relative_squared_error: 1.0744, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5628, f_measure: 0.1996, kappa: 0.0387, kb_relative_information_score: 601.9948, mean_absolute_error: 0.2731, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.2025, predictive_accuracy: 0.203, prior_entropy: 2.5803, recall: 0.203, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3744, root_relative_squared_error: 1.0053, scimark_benchmark: 934.3687, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5687, f_measure: 0.2054, kappa: 0.0441, kb_relative_information_score: 829.3528, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.2073, predictive_accuracy: 0.2058, prior_entropy: 2.5803, recall: 0.2058, relative_absolute_error: 0.9737, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3758, root_relative_squared_error: 1.0091, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5687, f_measure: 0.2054, kappa: 0.0441, kb_relative_information_score: 829.3528, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.2073, predictive_accuracy: 0.2058, prior_entropy: 2.5803, recall: 0.2058, relative_absolute_error: 0.9737, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3758, root_relative_squared_error: 1.0091, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5392, f_measure: 0.1859, kappa: 0.0206, kb_relative_information_score: 829.4208, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1865, predictive_accuracy: 0.1864, prior_entropy: 2.5803, recall: 0.1864, relative_absolute_error: 0.9819, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.387, root_relative_squared_error: 1.039, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5214, f_measure: 0.174, kappa: 0.0435, kb_relative_information_score: 1011.114, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1789, predictive_accuracy: 0.2117, prior_entropy: 2.5803, recall: 0.2117, relative_absolute_error: 0.9473, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5126, root_relative_squared_error: 1.3764, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5214, f_measure: 0.174, kappa: 0.0435, kb_relative_information_score: 1011.114, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1789, predictive_accuracy: 0.2117, prior_entropy: 2.5803, recall: 0.2117, relative_absolute_error: 0.9473, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5126, root_relative_squared_error: 1.3764, scimark_benchmark: 941.3847, usercpu_time_millis: 190, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5728, f_measure: 0.2001, kappa: 0.0473, kb_relative_information_score: 737.7743, mean_absolute_error: 0.2714, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1993, predictive_accuracy: 0.2067, prior_entropy: 2.5803, recall: 0.2067, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3733, root_relative_squared_error: 1.0022, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5687, f_measure: 0.2054, kappa: 0.0441, kb_relative_information_score: 829.3528, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.2073, predictive_accuracy: 0.2058, prior_entropy: 2.5803, recall: 0.2058, relative_absolute_error: 0.9737, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3758, root_relative_squared_error: 1.0091, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5221, f_measure: 0.1869, kappa: 0.0224, kb_relative_information_score: 980.8129, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1873, predictive_accuracy: 0.1867, prior_entropy: 2.5803, recall: 0.1867, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.4121, root_relative_squared_error: 1.1065, scimark_benchmark: 937.5117, usercpu_time_millis: 140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5371, f_measure: 0.2026, kappa: 0.0402, kb_relative_information_score: 893.5248, mean_absolute_error: 0.2717, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.2058, predictive_accuracy: 0.202, prior_entropy: 2.5803, recall: 0.202, relative_absolute_error: 0.9793, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.4001, root_relative_squared_error: 1.0744, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5628, f_measure: 0.1996, kappa: 0.0387, kb_relative_information_score: 601.9948, mean_absolute_error: 0.2731, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.2025, predictive_accuracy: 0.203, prior_entropy: 2.5803, recall: 0.203, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3744, root_relative_squared_error: 1.0053, scimark_benchmark: 938.1282, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5214, f_measure: 0.174, kappa: 0.0435, kb_relative_information_score: 1011.114, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1789, predictive_accuracy: 0.2117, prior_entropy: 2.5803, recall: 0.2117, relative_absolute_error: 0.9473, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5126, root_relative_squared_error: 1.3764, scimark_benchmark: 927.2882, usercpu_time_millis: 190, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5214, f_measure: 0.174, kappa: 0.0435, kb_relative_information_score: 1011.114, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1789, predictive_accuracy: 0.2117, prior_entropy: 2.5803, recall: 0.2117, relative_absolute_error: 0.9473, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5126, root_relative_squared_error: 1.3764, scimark_benchmark: 906.0979, usercpu_time_millis: 200, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5687, f_measure: 0.2054, kappa: 0.0441, kb_relative_information_score: 829.3528, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.2073, predictive_accuracy: 0.2058, prior_entropy: 2.5803, recall: 0.2058, relative_absolute_error: 0.9737, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3758, root_relative_squared_error: 1.0091, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5392, f_measure: 0.1859, kappa: 0.0206, kb_relative_information_score: 829.4208, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1865, predictive_accuracy: 0.1864, prior_entropy: 2.5803, recall: 0.1864, relative_absolute_error: 0.9819, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.387, root_relative_squared_error: 1.039, scimark_benchmark: 903.2737, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5687, f_measure: 0.2054, kappa: 0.0441, kb_relative_information_score: 829.3528, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.2073, predictive_accuracy: 0.2058, prior_entropy: 2.5803, recall: 0.2058, relative_absolute_error: 0.9737, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3758, root_relative_squared_error: 1.0091, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5221, f_measure: 0.1869, kappa: 0.0224, kb_relative_information_score: 980.8129, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1873, predictive_accuracy: 0.1867, prior_entropy: 2.5803, recall: 0.1867, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.4121, root_relative_squared_error: 1.1065, scimark_benchmark: 936.9595, usercpu_time_millis: 150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5435, f_measure: 0.1954, kappa: 0.0325, kb_relative_information_score: 836.2848, mean_absolute_error: 0.2713, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1956, predictive_accuracy: 0.1956, prior_entropy: 2.5803, recall: 0.1956, relative_absolute_error: 0.9778, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.388, root_relative_squared_error: 1.0417, scimark_benchmark: 938.988, usercpu_time_millis: 13490, usercpu_time_millis_testing: 2370, usercpu_time_millis_training: 11120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5438, f_measure: 0.1956, kappa: 0.0325, kb_relative_information_score: 839.5732, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.196, predictive_accuracy: 0.1956, prior_entropy: 2.5803, recall: 0.1956, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.388, root_relative_squared_error: 1.0419, scimark_benchmark: 938.1282, usercpu_time_millis: 5810, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 5280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5426, f_measure: 0.1945, kappa: 0.0312, kb_relative_information_score: 837.7604, mean_absolute_error: 0.2713, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1949, predictive_accuracy: 0.1945, prior_entropy: 2.5803, recall: 0.1945, relative_absolute_error: 0.9779, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3883, root_relative_squared_error: 1.0427, scimark_benchmark: 938.8535, usercpu_time_millis: 3100, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 2830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5429, f_measure: 0.1926, kappa: 0.0287, kb_relative_information_score: 837.4379, mean_absolute_error: 0.2713, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1932, predictive_accuracy: 0.1925, prior_entropy: 2.5803, recall: 0.1925, relative_absolute_error: 0.9781, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3888, root_relative_squared_error: 1.044, scimark_benchmark: 939.682, usercpu_time_millis: 1560, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 1430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5405, f_measure: 0.1981, kappa: 0.0354, kb_relative_information_score: 847.2426, mean_absolute_error: 0.2713, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1986, predictive_accuracy: 0.1979, prior_entropy: 2.5803, recall: 0.1979, relative_absolute_error: 0.9781, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3897, root_relative_squared_error: 1.0463, scimark_benchmark: 935.6052, usercpu_time_millis: 1000, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, f_measure: 0.0633, kb_relative_information_score: 5.9264, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.0378, predictive_accuracy: 0.1945, prior_entropy: 2.5803, recall: 0.1945, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3724, root_relative_squared_error: 1, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.514, f_measure: 0.1518, kappa: 0.0212, kb_relative_information_score: 342.5559, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1459, predictive_accuracy: 0.1812, prior_entropy: 2.5803, recall: 0.1812, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.9987, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.514, f_measure: 0.1518, kappa: 0.0212, kb_relative_information_score: 342.5559, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1459, predictive_accuracy: 0.1812, prior_entropy: 2.5803, recall: 0.1812, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.9987, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.514, f_measure: 0.1518, kappa: 0.0212, kb_relative_information_score: 342.5559, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1459, predictive_accuracy: 0.1812, prior_entropy: 2.5803, recall: 0.1812, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.9987, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.514, f_measure: 0.1518, kappa: 0.0212, kb_relative_information_score: 342.5559, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1459, predictive_accuracy: 0.1812, prior_entropy: 2.5803, recall: 0.1812, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.9987, scimark_benchmark: 940.0055, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.514, f_measure: 0.1518, kappa: 0.0212, kb_relative_information_score: 342.5559, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1459, predictive_accuracy: 0.1812, prior_entropy: 2.5803, recall: 0.1812, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.9987, scimark_benchmark: 940.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0633, kb_relative_information_score: 788.1189, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.0378, predictive_accuracy: 0.1945, prior_entropy: 2.5803, recall: 0.1945, relative_absolute_error: 0.9679, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5182, root_relative_squared_error: 1.3913, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5648, f_measure: 0.1893, kappa: 0.0373, kb_relative_information_score: 316.2634, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.2136, predictive_accuracy: 0.2089, prior_entropy: 2.5803, recall: 0.2089, relative_absolute_error: 0.993, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.9965, scimark_benchmark: 942.6192, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5337, f_measure: 0.1869, kappa: 0.0206, kb_relative_information_score: 499.0251, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1884, predictive_accuracy: 0.1866, prior_entropy: 2.5803, recall: 0.1866, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3758, root_relative_squared_error: 1.0091, scimark_benchmark: 906.0884, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5493, f_measure: 0.1651, kappa: 0.0197, kb_relative_information_score: 244.1294, mean_absolute_error: 0.2762, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1883, predictive_accuracy: 0.1957, prior_entropy: 2.5803, recall: 0.1957, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.9982, scimark_benchmark: 943.4741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5371, f_measure: 0.2026, kappa: 0.0402, kb_relative_information_score: 893.5248, mean_absolute_error: 0.2717, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.2058, predictive_accuracy: 0.202, prior_entropy: 2.5803, recall: 0.202, relative_absolute_error: 0.9793, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.4001, root_relative_squared_error: 1.0744, scimark_benchmark: 899.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5628, f_measure: 0.1996, kappa: 0.0387, kb_relative_information_score: 601.9948, mean_absolute_error: 0.2731, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.2025, predictive_accuracy: 0.203, prior_entropy: 2.5803, recall: 0.203, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3744, root_relative_squared_error: 1.0053, scimark_benchmark: 845.538, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5214, f_measure: 0.174, kappa: 0.0435, kb_relative_information_score: 1011.114, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1789, predictive_accuracy: 0.2117, prior_entropy: 2.5803, recall: 0.2117, relative_absolute_error: 0.9473, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5126, root_relative_squared_error: 1.3764, scimark_benchmark: 945.988, usercpu_time_millis: 190, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5214, f_measure: 0.174, kappa: 0.0435, kb_relative_information_score: 1011.114, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1789, predictive_accuracy: 0.2117, prior_entropy: 2.5803, recall: 0.2117, relative_absolute_error: 0.9473, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5126, root_relative_squared_error: 1.3764, scimark_benchmark: 939.3886, usercpu_time_millis: 190, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 110,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5628, f_measure: 0.1996, kappa: 0.0387, kb_relative_information_score: 601.9948, mean_absolute_error: 0.2731, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.2025, predictive_accuracy: 0.203, prior_entropy: 2.5803, recall: 0.203, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3744, root_relative_squared_error: 1.0053, scimark_benchmark: 1321.8132, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.575, f_measure: 0.2042, kappa: 0.0485, kb_relative_information_score: 627.8313, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.2048, predictive_accuracy: 0.2089, prior_entropy: 2.5803, recall: 0.2089, relative_absolute_error: 0.9822, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.9983, scimark_benchmark: 1342.9012, usercpu_time_millis: 590, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5687, f_measure: 0.2054, kappa: 0.0441, kb_relative_information_score: 829.3528, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.2073, predictive_accuracy: 0.2058, prior_entropy: 2.5803, recall: 0.2058, relative_absolute_error: 0.9737, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3758, root_relative_squared_error: 1.0091, scimark_benchmark: 1331.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5584, f_measure: 0.1984, kappa: 0.0405, kb_relative_information_score: 773.4627, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1978, predictive_accuracy: 0.2016, prior_entropy: 2.5803, recall: 0.2016, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3807, root_relative_squared_error: 1.0223, scimark_benchmark: 1332.7986, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5221, f_measure: 0.1869, kappa: 0.0224, kb_relative_information_score: 980.8129, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1873, predictive_accuracy: 0.1867, prior_entropy: 2.5803, recall: 0.1867, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.4121, root_relative_squared_error: 1.1065, scimark_benchmark: 1313.8988, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5371, f_measure: 0.2026, kappa: 0.0402, kb_relative_information_score: 893.5248, mean_absolute_error: 0.2717, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.2058, predictive_accuracy: 0.202, prior_entropy: 2.5803, recall: 0.202, relative_absolute_error: 0.9793, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.4001, root_relative_squared_error: 1.0744, scimark_benchmark: 1362.1309, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5584, f_measure: 0.1984, kappa: 0.0405, kb_relative_information_score: 773.4627, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1978, predictive_accuracy: 0.2016, prior_entropy: 2.5803, recall: 0.2016, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3807, root_relative_squared_error: 1.0223, scimark_benchmark: 1404.0159, usercpu_time_millis: 290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5214, f_measure: 0.174, kappa: 0.0435, kb_relative_information_score: 1011.114, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1789, predictive_accuracy: 0.2117, prior_entropy: 2.5803, recall: 0.2117, relative_absolute_error: 0.9473, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5126, root_relative_squared_error: 1.3764, scimark_benchmark: 1343.254, usercpu_time_millis: 220, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5584, f_measure: 0.1984, kappa: 0.0405, kb_relative_information_score: 773.4627, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1978, predictive_accuracy: 0.2016, prior_entropy: 2.5803, recall: 0.2016, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3807, root_relative_squared_error: 1.0223, scimark_benchmark: 1325.5735, usercpu_time_millis: 290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5687, f_measure: 0.2054, kappa: 0.0441, kb_relative_information_score: 829.3528, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.2073, predictive_accuracy: 0.2058, prior_entropy: 2.5803, recall: 0.2058, relative_absolute_error: 0.9737, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3758, root_relative_squared_error: 1.0091, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5584, f_measure: 0.1984, kappa: 0.0405, kb_relative_information_score: 773.4627, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1978, predictive_accuracy: 0.2016, prior_entropy: 2.5803, recall: 0.2016, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3807, root_relative_squared_error: 1.0223, scimark_benchmark: 940.3347, usercpu_time_millis: 300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5221, f_measure: 0.1869, kappa: 0.0224, kb_relative_information_score: 980.8129, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1873, predictive_accuracy: 0.1867, prior_entropy: 2.5803, recall: 0.1867, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.4121, root_relative_squared_error: 1.1065, scimark_benchmark: 1322.7257, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5789, f_measure: 0.208, kappa: 0.0516, kb_relative_information_score: 768.932, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.209, predictive_accuracy: 0.2113, prior_entropy: 2.5803, recall: 0.2113, relative_absolute_error: 0.9759, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3728, root_relative_squared_error: 1.0009, scimark_benchmark: 1337.7947, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5214, f_measure: 0.174, kappa: 0.0435, kb_relative_information_score: 1011.114, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1789, predictive_accuracy: 0.2117, prior_entropy: 2.5803, recall: 0.2117, relative_absolute_error: 0.9473, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5126, root_relative_squared_error: 1.3764, scimark_benchmark: 1315.933, usercpu_time_millis: 240, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5687, f_measure: 0.2054, kappa: 0.0441, kb_relative_information_score: 829.3528, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.2073, predictive_accuracy: 0.2058, prior_entropy: 2.5803, recall: 0.2058, relative_absolute_error: 0.9737, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3758, root_relative_squared_error: 1.0091, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5687, f_measure: 0.2054, kappa: 0.0441, kb_relative_information_score: 829.3528, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.2073, predictive_accuracy: 0.2058, prior_entropy: 2.5803, recall: 0.2058, relative_absolute_error: 0.9737, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3758, root_relative_squared_error: 1.0091, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5687, f_measure: 0.2054, kappa: 0.0441, kb_relative_information_score: 829.3528, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.2073, predictive_accuracy: 0.2058, prior_entropy: 2.5803, recall: 0.2058, relative_absolute_error: 0.9737, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3758, root_relative_squared_error: 1.0091, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5687, f_measure: 0.2054, kappa: 0.0441, kb_relative_information_score: 829.3528, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.2073, predictive_accuracy: 0.2058, prior_entropy: 2.5803, recall: 0.2058, relative_absolute_error: 0.9737, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3758, root_relative_squared_error: 1.0091, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5584, f_measure: 0.1984, kappa: 0.0405, kb_relative_information_score: 773.4627, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1978, predictive_accuracy: 0.2016, prior_entropy: 2.5803, recall: 0.2016, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3807, root_relative_squared_error: 1.0223, scimark_benchmark: 938.0414, usercpu_time_millis: 690, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5687, f_measure: 0.2054, kappa: 0.0441, kb_relative_information_score: 829.3528, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.2073, predictive_accuracy: 0.2058, prior_entropy: 2.5803, recall: 0.2058, relative_absolute_error: 0.9737, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3758, root_relative_squared_error: 1.0091, scimark_benchmark: 1312.2688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5584, f_measure: 0.1984, kappa: 0.0405, kb_relative_information_score: 773.4627, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1978, predictive_accuracy: 0.2016, prior_entropy: 2.5803, recall: 0.2016, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3807, root_relative_squared_error: 1.0223, scimark_benchmark: 1260.1387, usercpu_time_millis: 290, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5704, f_measure: 0.2058, kappa: 0.051, kb_relative_information_score: 771.4902, mean_absolute_error: 0.2709, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.2061, predictive_accuracy: 0.2099, prior_entropy: 2.5803, recall: 0.2099, relative_absolute_error: 0.9764, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3743, root_relative_squared_error: 1.005, scimark_benchmark: 1334.6745, usercpu_time_millis: 490, usercpu_time_millis_testing: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5687, f_measure: 0.2054, kappa: 0.0441, kb_relative_information_score: 829.3528, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.2073, predictive_accuracy: 0.2058, prior_entropy: 2.5803, recall: 0.2058, relative_absolute_error: 0.9737, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3758, root_relative_squared_error: 1.0091, scimark_benchmark: 933.1165,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs