OpenML
Supervised Classification on fri_c4_500_10

Supervised Classification on fri_c4_500_10

Task 3720 Supervised Classification fri_c4_500_10 553 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7037, build_cpu_time: 2.0024, build_memory: 1045807799.2, f_measure: 0.6635, kappa: 0.3189, kb_relative_information_score: 155.2141, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6632, predictive_accuracy: 0.664, prior_entropy: 0.9922, recall: 0.664, relative_absolute_error: 0.6881, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.5413, root_relative_squared_error: 1.0884, scimark_benchmark: 902.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, build_cpu_time: 0.5069, build_memory: 1778933671.2, f_measure: 0.868, kappa: 0.7331, kb_relative_information_score: 287.9517, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.868, predictive_accuracy: 0.868, prior_entropy: 0.9922, recall: 0.868, relative_absolute_error: 0.4603, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6137, scimark_benchmark: 945.7067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, build_cpu_time: 0.3409, build_memory: 589197831.2, f_measure: 0.868, kappa: 0.7331, kb_relative_information_score: 287.9517, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.868, predictive_accuracy: 0.868, prior_entropy: 0.9922, recall: 0.868, relative_absolute_error: 0.4603, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6137, scimark_benchmark: 938.8806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, build_cpu_time: 0.3454, build_memory: 347535960.8, f_measure: 0.868, kappa: 0.7331, kb_relative_information_score: 287.9517, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.868, predictive_accuracy: 0.868, prior_entropy: 0.9922, recall: 0.868, relative_absolute_error: 0.4603, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6137, scimark_benchmark: 933.4451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, build_cpu_time: 0.3455, build_memory: 236838104.8, f_measure: 0.868, kappa: 0.7331, kb_relative_information_score: 287.9517, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.868, predictive_accuracy: 0.868, prior_entropy: 0.9922, recall: 0.868, relative_absolute_error: 0.4603, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6137, scimark_benchmark: 943.2048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, build_cpu_time: 0.1141, build_memory: 964147295.2, f_measure: 0.866, kappa: 0.7292, kb_relative_information_score: 283.5201, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8661, predictive_accuracy: 0.866, prior_entropy: 0.9922, recall: 0.866, relative_absolute_error: 0.4677, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.6286, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, build_cpu_time: 0.0289, build_memory: 865290543.2, f_measure: 0.8462, kappa: 0.6895, kb_relative_information_score: 281.7874, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8467, predictive_accuracy: 0.846, prior_entropy: 0.9922, recall: 0.846, relative_absolute_error: 0.4606, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.6577, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, build_cpu_time: 0.0557, build_memory: 382564352, f_measure: 0.862, kappa: 0.7211, kb_relative_information_score: 286.835, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8621, predictive_accuracy: 0.862, prior_entropy: 0.9922, recall: 0.862, relative_absolute_error: 0.4559, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.633, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, build_cpu_time: 0.1813, build_memory: 886964301.6, f_measure: 0.8758, kappa: 0.7484, kb_relative_information_score: 295.9565, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.876, predictive_accuracy: 0.876, prior_entropy: 0.9922, recall: 0.876, relative_absolute_error: 0.4436, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.5983, scimark_benchmark: 874.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, build_cpu_time: 0.3196, build_memory: 754963177.6, f_measure: 0.8817, kappa: 0.7605, kb_relative_information_score: 299.2415, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8821, predictive_accuracy: 0.882, prior_entropy: 0.9922, recall: 0.882, relative_absolute_error: 0.4374, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.5897, scimark_benchmark: 930.3171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, build_cpu_time: 18.5133, build_memory: 1799506486.4, f_measure: 0.8919, kappa: 0.7813, kb_relative_information_score: 288.5152, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8919, predictive_accuracy: 0.892, prior_entropy: 0.9922, recall: 0.892, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.5927, scimark_benchmark: 932.8277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, build_cpu_time: 1.2857, build_memory: 1056025117.6, f_measure: 0.8918, kappa: 0.7811, kb_relative_information_score: 286.6145, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.892, predictive_accuracy: 0.892, prior_entropy: 0.9922, recall: 0.892, relative_absolute_error: 0.4677, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.5976, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, build_cpu_time: 1.3908, build_memory: 1466061152, f_measure: 0.8918, kappa: 0.7811, kb_relative_information_score: 286.6145, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.892, predictive_accuracy: 0.892, prior_entropy: 0.9922, recall: 0.892, relative_absolute_error: 0.4677, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.5976, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, build_cpu_time: 0.0137, build_memory: 1090968046.4, f_measure: 0.7544, kappa: 0.5049, kb_relative_information_score: 221.031, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.7556, predictive_accuracy: 0.754, prior_entropy: 0.9922, recall: 0.754, relative_absolute_error: 0.5693, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8283, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, build_cpu_time: 0.0368, build_memory: 335959444.8, f_measure: 0.7663, kappa: 0.5283, kb_relative_information_score: 230.5646, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.7669, predictive_accuracy: 0.766, prior_entropy: 0.9922, recall: 0.766, relative_absolute_error: 0.5532, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.7959, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, build_cpu_time: 0.0399, build_memory: 506014168, f_measure: 0.7663, kappa: 0.5283, kb_relative_information_score: 230.5646, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.7669, predictive_accuracy: 0.766, prior_entropy: 0.9922, recall: 0.766, relative_absolute_error: 0.5532, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.7959, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, build_cpu_time: 0.0437, build_memory: 229081406.4, f_measure: 0.7684, kappa: 0.5329, kb_relative_information_score: 230.9352, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.7694, predictive_accuracy: 0.768, prior_entropy: 0.9922, recall: 0.768, relative_absolute_error: 0.5551, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.7941, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, build_cpu_time: 0.4507, build_memory: 621302417.6, f_measure: 0.8942, kappa: 0.7865, kb_relative_information_score: 268.9703, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8949, predictive_accuracy: 0.894, prior_entropy: 0.9922, recall: 0.894, relative_absolute_error: 0.5098, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6183, scimark_benchmark: 932.7461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, build_cpu_time: 0.4595, build_memory: 849805501.6, f_measure: 0.8942, kappa: 0.7865, kb_relative_information_score: 268.9703, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8949, predictive_accuracy: 0.894, prior_entropy: 0.9922, recall: 0.894, relative_absolute_error: 0.5098, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6183, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6851, build_cpu_time: 0.1394, build_memory: 787505983.2, f_measure: 0.6569, kappa: 0.3137, kb_relative_information_score: 86.5543, mean_absolute_error: 0.418, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6631, predictive_accuracy: 0.656, prior_entropy: 0.9922, recall: 0.656, relative_absolute_error: 0.8451, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4825, root_relative_squared_error: 0.9703, scimark_benchmark: 939.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6851, build_cpu_time: 0.1737, build_memory: 666047048.8, f_measure: 0.6569, kappa: 0.3137, kb_relative_information_score: 86.5543, mean_absolute_error: 0.418, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6631, predictive_accuracy: 0.656, prior_entropy: 0.9922, recall: 0.656, relative_absolute_error: 0.8451, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4825, root_relative_squared_error: 0.9703, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, build_cpu_time: 0.0076, build_memory: 88227966.4, f_measure: 0.6589, kappa: 0.318, kb_relative_information_score: 86.6475, mean_absolute_error: 0.4178, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6655, predictive_accuracy: 0.658, prior_entropy: 0.9922, recall: 0.658, relative_absolute_error: 0.8446, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9727, scimark_benchmark: 922.0796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, build_cpu_time: 0.0076, build_memory: 74076511.2, f_measure: 0.6589, kappa: 0.318, kb_relative_information_score: 86.6475, mean_absolute_error: 0.4178, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6655, predictive_accuracy: 0.658, prior_entropy: 0.9922, recall: 0.658, relative_absolute_error: 0.8446, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9727, scimark_benchmark: 929.0695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, build_cpu_time: 52.6388, build_memory: 3281098293.6, f_measure: 0.9081, kappa: 0.8143, kb_relative_information_score: 365.6462, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.9083, predictive_accuracy: 0.908, prior_entropy: 0.9922, recall: 0.908, relative_absolute_error: 0.2898, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.5054, scimark_benchmark: 943.0945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, build_cpu_time: 126.052, build_memory: 111192270.4, f_measure: 0.904, kappa: 0.8059, kb_relative_information_score: 364.2584, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.904, predictive_accuracy: 0.904, prior_entropy: 0.9922, recall: 0.904, relative_absolute_error: 0.2928, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.5064, scimark_benchmark: 941.6742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, build_cpu_time: 0.0244, build_memory: 1009078609.6, f_measure: 0.7217, kappa: 0.4367, kb_relative_information_score: 85.4508, mean_absolute_error: 0.4251, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.7215, predictive_accuracy: 0.722, prior_entropy: 0.9922, recall: 0.722, relative_absolute_error: 0.8594, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4426, root_relative_squared_error: 0.8901, scimark_benchmark: 943.0515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6769, build_cpu_time: 0.3638, build_memory: 147297604, f_measure: 0.6445, kappa: 0.2799, kb_relative_information_score: 79.1419, mean_absolute_error: 0.427, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6479, predictive_accuracy: 0.65, prior_entropy: 0.9922, recall: 0.65, relative_absolute_error: 0.8632, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4762, root_relative_squared_error: 0.9576, scimark_benchmark: 942.7079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6769, build_cpu_time: 0.3077, build_memory: 114111376.8, f_measure: 0.6445, kappa: 0.2799, kb_relative_information_score: 79.1419, mean_absolute_error: 0.427, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6479, predictive_accuracy: 0.65, prior_entropy: 0.9922, recall: 0.65, relative_absolute_error: 0.8632, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4762, root_relative_squared_error: 0.9576, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8069, build_cpu_time: 0.013, build_memory: 922465252, f_measure: 0.7281, kappa: 0.4505, kb_relative_information_score: 86.1765, mean_absolute_error: 0.4248, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.7282, predictive_accuracy: 0.728, prior_entropy: 0.9922, recall: 0.728, relative_absolute_error: 0.8588, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8877, scimark_benchmark: 939.9473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8069, build_cpu_time: 0.0187, build_memory: 1159814195.2, f_measure: 0.7281, kappa: 0.4505, kb_relative_information_score: 86.1765, mean_absolute_error: 0.4248, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.7282, predictive_accuracy: 0.728, prior_entropy: 0.9922, recall: 0.728, relative_absolute_error: 0.8588, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8877, scimark_benchmark: 941.3226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, build_cpu_time: 0.0085, build_memory: 1898384514.4, f_measure: 0.7224, kappa: 0.44, kb_relative_information_score: 87.2513, mean_absolute_error: 0.4236, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.7233, predictive_accuracy: 0.722, prior_entropy: 0.9922, recall: 0.722, relative_absolute_error: 0.8564, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8875, scimark_benchmark: 824.2652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, build_cpu_time: 0.0036, build_memory: 1401489840.8, f_measure: 0.7184, kappa: 0.432, kb_relative_information_score: 83.5915, mean_absolute_error: 0.4263, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.7193, predictive_accuracy: 0.718, prior_entropy: 0.9922, recall: 0.718, relative_absolute_error: 0.8618, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.445, root_relative_squared_error: 0.8949, scimark_benchmark: 944.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, build_cpu_time: 0.0033, build_memory: 937449657.6, f_measure: 0.7184, kappa: 0.432, kb_relative_information_score: 83.5915, mean_absolute_error: 0.4263, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.7193, predictive_accuracy: 0.718, prior_entropy: 0.9922, recall: 0.718, relative_absolute_error: 0.8618, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.445, root_relative_squared_error: 0.8949, scimark_benchmark: 813.0234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, build_cpu_time: 0.0013, build_memory: 514804512, f_measure: 0.7108, kappa: 0.4188, kb_relative_information_score: 84.3317, mean_absolute_error: 0.4251, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.714, predictive_accuracy: 0.71, prior_entropy: 0.9922, recall: 0.71, relative_absolute_error: 0.8595, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.8986, scimark_benchmark: 813.0234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, build_cpu_time: 2.116, build_memory: 2000432120, f_measure: 0.8737, kappa: 0.7443, kb_relative_information_score: 318.7746, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.874, predictive_accuracy: 0.874, prior_entropy: 0.9922, recall: 0.874, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.5957, scimark_benchmark: 876.9475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, build_cpu_time: 4.2222, build_memory: 810485011.2, f_measure: 0.8838, kappa: 0.7647, kb_relative_information_score: 326.0961, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.884, predictive_accuracy: 0.884, prior_entropy: 0.9922, recall: 0.884, relative_absolute_error: 0.3715, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.5774, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, build_cpu_time: 8.0744, build_memory: 1563031635.2, f_measure: 0.8878, kappa: 0.7728, kb_relative_information_score: 327.8211, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.888, predictive_accuracy: 0.888, prior_entropy: 0.9922, recall: 0.888, relative_absolute_error: 0.3707, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.5646, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, build_cpu_time: 16.6011, build_memory: 289655729.6, f_measure: 0.8939, kappa: 0.7852, kb_relative_information_score: 331.0292, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8939, predictive_accuracy: 0.894, prior_entropy: 0.9922, recall: 0.894, relative_absolute_error: 0.3649, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.5555, scimark_benchmark: 934.3289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, build_cpu_time: 34.7543, build_memory: 2424434713.6, f_measure: 0.8959, kappa: 0.7892, kb_relative_information_score: 328.926, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.896, prior_entropy: 0.9922, recall: 0.896, relative_absolute_error: 0.3692, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.2785, root_relative_squared_error: 0.56, scimark_benchmark: 845.9233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, build_cpu_time: 5.0053, build_memory: 307475955.2, f_measure: 0.8799, kappa: 0.757, kb_relative_information_score: 378.6604, mean_absolute_error: 0.1192, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9922, recall: 0.88, relative_absolute_error: 0.2409, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.6809, scimark_benchmark: 897.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, build_cpu_time: 1.9057, build_memory: 1564185816, f_measure: 0.8918, kappa: 0.7811, kb_relative_information_score: 389.5493, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.892, predictive_accuracy: 0.892, prior_entropy: 0.9922, recall: 0.892, relative_absolute_error: 0.2198, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.6412, scimark_benchmark: 941.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, build_cpu_time: 1.3359, build_memory: 553217148.8, f_measure: 0.8939, kappa: 0.7854, kb_relative_information_score: 392.4611, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8939, predictive_accuracy: 0.894, prior_entropy: 0.9922, recall: 0.894, relative_absolute_error: 0.214, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3129, root_relative_squared_error: 0.6292, scimark_benchmark: 928.3063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, build_cpu_time: 0.6035, build_memory: 809101952, f_measure: 0.8798, kappa: 0.7568, kb_relative_information_score: 381.548, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9922, recall: 0.88, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.6563, scimark_benchmark: 939.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, build_cpu_time: 0.6031, build_memory: 488729862.4, f_measure: 0.8798, kappa: 0.7568, kb_relative_information_score: 381.548, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9922, recall: 0.88, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.6563, scimark_benchmark: 942.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, build_cpu_time: 0.5601, build_memory: 614125352, f_measure: 0.8798, kappa: 0.7568, kb_relative_information_score: 381.548, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9922, recall: 0.88, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.6563, scimark_benchmark: 941.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, build_cpu_time: 0.2691, build_memory: 1766295547.2, f_measure: 0.8679, kappa: 0.7327, kb_relative_information_score: 366.7086, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8679, predictive_accuracy: 0.868, prior_entropy: 0.9922, recall: 0.868, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.6849, scimark_benchmark: 941.5665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, build_cpu_time: 2.803, build_memory: 1359462980, f_measure: 0.8737, kappa: 0.7443, kb_relative_information_score: 303.1846, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.874, predictive_accuracy: 0.874, prior_entropy: 0.9922, recall: 0.874, relative_absolute_error: 0.4273, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.5948, scimark_benchmark: 729.6904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, build_cpu_time: 4.4392, build_memory: 2038556361.6, f_measure: 0.8738, kappa: 0.7445, kb_relative_information_score: 303.1076, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8739, predictive_accuracy: 0.874, prior_entropy: 0.9922, recall: 0.874, relative_absolute_error: 0.4268, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.594, scimark_benchmark: 930.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, build_cpu_time: 0.8417, build_memory: 696660992, f_measure: 0.8858, kappa: 0.7688, kb_relative_information_score: 317.8483, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.886, predictive_accuracy: 0.886, prior_entropy: 0.9922, recall: 0.886, relative_absolute_error: 0.3909, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.5913, scimark_benchmark: 945.4033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, build_cpu_time: 0.4074, build_memory: 64066457.6, f_measure: 0.8899, kappa: 0.7773, kb_relative_information_score: 319.2826, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8899, predictive_accuracy: 0.89, prior_entropy: 0.9922, recall: 0.89, relative_absolute_error: 0.3891, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.5876, scimark_benchmark: 941.6771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, build_cpu_time: 0.4595, build_memory: 116269679.2, f_measure: 0.8899, kappa: 0.7773, kb_relative_information_score: 319.2826, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8899, predictive_accuracy: 0.89, prior_entropy: 0.9922, recall: 0.89, relative_absolute_error: 0.3891, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.5876, scimark_benchmark: 856.7495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, build_cpu_time: 0.273, build_memory: 4079794103.2, f_measure: 0.8859, kappa: 0.7692, kb_relative_information_score: 316.1567, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8859, predictive_accuracy: 0.886, prior_entropy: 0.9922, recall: 0.886, relative_absolute_error: 0.3938, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.296, root_relative_squared_error: 0.5953, scimark_benchmark: 929.6938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, build_cpu_time: 0.1276, build_memory: 2804717423.2, f_measure: 0.8759, kappa: 0.7489, kb_relative_information_score: 312.2376, mean_absolute_error: 0.1976, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8759, predictive_accuracy: 0.876, prior_entropy: 0.9922, recall: 0.876, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.6169, scimark_benchmark: 934.7691,

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

OpenML bootcamp

From your own software

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

OpenML APIs