Task
Supervised Data Stream Classification on BNG(anneal.ORIG,nominal,1000000)

Supervised Data Stream Classification on BNG(anneal.ORIG,nominal,1000000)

Task 121 Supervised Data Stream Classification BNG(anneal.ORIG,nominal,1000000) 46 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

46 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.605, f_measure: 0.6924, kappa: 0.1205, kb_relative_information_score: 352367.6479, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7684, predictive_accuracy: 0.7755, prior_entropy: 2.585, recall: 0.7755, relative_absolute_error: 0.8221, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.8593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4959, f_measure: 0.0221, kappa: 0.0001, kb_relative_information_score: 19271.2197, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.017, predictive_accuracy: 0.1106, prior_entropy: 2.585, recall: 0.1106, relative_absolute_error: 1.0692, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5408, root_relative_squared_error: 1.4512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.8561, kappa: 0.6315, kb_relative_information_score: 837056.7176, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8547, predictive_accuracy: 0.8616, prior_entropy: 2.585, recall: 0.8616, relative_absolute_error: 0.231, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.4797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7878, f_measure: 0.8216, kappa: 0.5458, kb_relative_information_score: 359318.7485, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.819, predictive_accuracy: 0.8286, prior_entropy: 2.585, recall: 0.8286, relative_absolute_error: 0.8175, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.318, root_relative_squared_error: 0.8532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8302, kappa: 0.5738, kb_relative_information_score: 796654.3599, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8345, predictive_accuracy: 0.8287, prior_entropy: 2.585, recall: 0.8287, relative_absolute_error: 0.2867, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.5485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.8382, kappa: 0.5848, kb_relative_information_score: 815682.9084, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.836, predictive_accuracy: 0.8459, prior_entropy: 2.585, recall: 0.8459, relative_absolute_error: 0.257, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0002, kb_relative_information_score: -91401.2992, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0001, predictive_accuracy: 0.0094, prior_entropy: 2.585, recall: 0.0094, relative_absolute_error: 1.1887, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5746, root_relative_squared_error: 1.5419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.022, kb_relative_information_score: 20056.7042, mean_absolute_error: 0.2965, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0122, predictive_accuracy: 0.1106, prior_entropy: 2.585, recall: 0.1106, relative_absolute_error: 1.0673, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5445, root_relative_squared_error: 1.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.022, kb_relative_information_score: 20056.7042, mean_absolute_error: 0.2965, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0122, predictive_accuracy: 0.1106, prior_entropy: 2.585, recall: 0.1106, relative_absolute_error: 1.0673, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5445, root_relative_squared_error: 1.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8439, kappa: 0.6007, kb_relative_information_score: 810082.5691, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.842, predictive_accuracy: 0.85, prior_entropy: 2.585, recall: 0.85, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.5092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.8503, kappa: 0.6164, kb_relative_information_score: 833207.979, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8492, predictive_accuracy: 0.857, prior_entropy: 2.585, recall: 0.857, relative_absolute_error: 0.2344, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.4844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6275, f_measure: 0.6555, kappa: 0.0001, kb_relative_information_score: 662569.3795, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.5769, predictive_accuracy: 0.7588, prior_entropy: 2.585, recall: 0.7588, relative_absolute_error: 0.4497, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.253, root_relative_squared_error: 0.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5664, f_measure: 0.6859, kappa: 0.1081, kb_relative_information_score: 742619.3212, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.6862, predictive_accuracy: 0.7628, prior_entropy: 2.585, recall: 0.7628, relative_absolute_error: 0.2842, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.7393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8466, kappa: 0.6067, kb_relative_information_score: 823956.9559, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8455, predictive_accuracy: 0.8536, prior_entropy: 2.585, recall: 0.8536, relative_absolute_error: 0.2507, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.185, root_relative_squared_error: 0.4964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7359, f_measure: 0.6981, kappa: 0.1757, kb_relative_information_score: 750580.3953, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7134, predictive_accuracy: 0.7552, prior_entropy: 2.585, recall: 0.7552, relative_absolute_error: 0.2844, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2654, root_relative_squared_error: 0.7122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7312, f_measure: 0.8085, kappa: 0.5016, kb_relative_information_score: 750549.9476, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8062, predictive_accuracy: 0.8185, prior_entropy: 2.585, recall: 0.8185, relative_absolute_error: 0.3364, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.6013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8298, kappa: 0.5726, kb_relative_information_score: 795988.1913, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8341, predictive_accuracy: 0.8285, prior_entropy: 2.585, recall: 0.8285, relative_absolute_error: 0.2883, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.204, root_relative_squared_error: 0.5474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6566, f_measure: 0.6912, kappa: 0.1327, kb_relative_information_score: 678379.4598, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.6565, predictive_accuracy: 0.7653, prior_entropy: 2.585, recall: 0.7653, relative_absolute_error: 0.438, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2467, root_relative_squared_error: 0.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8679, kappa: 0.6703, kb_relative_information_score: 848413.414, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8672, predictive_accuracy: 0.8697, prior_entropy: 2.585, recall: 0.8697, relative_absolute_error: 0.2107, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.4699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0002, kb_relative_information_score: -91401.2992, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0001, predictive_accuracy: 0.0094, prior_entropy: 2.585, recall: 0.0094, relative_absolute_error: 1.1887, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5746, root_relative_squared_error: 1.5419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.8232, kappa: 0.5536, kb_relative_information_score: 798950.5292, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8205, predictive_accuracy: 0.8287, prior_entropy: 2.585, recall: 0.8287, relative_absolute_error: 0.2616, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.5613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0002, kb_relative_information_score: -91401.2992, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0001, predictive_accuracy: 0.0094, prior_entropy: 2.585, ram_hours: 0, recall: 0.0094, relative_absolute_error: 1.1887, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5746, root_relative_squared_error: 1.5419, run_cpu_time: 13.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8156, kappa: 0.529, kb_relative_information_score: 787228.442, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.817, predictive_accuracy: 0.8186, prior_entropy: 2.585, ram_hours: 0, recall: 0.8186, relative_absolute_error: 0.2988, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.5592, run_cpu_time: 31.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.6557, kappa: -0, kb_relative_information_score: 630153.1546, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.5769, predictive_accuracy: 0.7595, prior_entropy: 2.585, ram_hours: 0, recall: 0.7595, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.6956, run_cpu_time: 18.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5182, f_measure: 0.6635, kappa: 0.0406, kb_relative_information_score: 733896.6697, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.6303, predictive_accuracy: 0.7584, prior_entropy: 2.585, ram_hours: 0, recall: 0.7584, relative_absolute_error: 0.2897, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.7606, run_cpu_time: 10.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.7948, kappa: 0.4637, kb_relative_information_score: 770034.6881, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7954, predictive_accuracy: 0.8153, prior_entropy: 2.585, ram_hours: 0, recall: 0.8153, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.559, run_cpu_time: 20.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.77, f_measure: 0.8124, kappa: 0.511, kb_relative_information_score: 358870.5677, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8098, predictive_accuracy: 0.8224, prior_entropy: 2.585, ram_hours: 0, recall: 0.8224, relative_absolute_error: 0.8177, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.8531, run_cpu_time: 21.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.022, kb_relative_information_score: 20056.7042, mean_absolute_error: 0.2965, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0122, predictive_accuracy: 0.1106, prior_entropy: 2.585, ram_hours: 0, recall: 0.1106, relative_absolute_error: 1.0673, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5445, root_relative_squared_error: 1.461, run_cpu_time: 10.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7601, f_measure: 0.6982, kappa: 0.161, kb_relative_information_score: 681576.7607, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7001, predictive_accuracy: 0.7681, prior_entropy: 2.585, ram_hours: 0.0001, recall: 0.7681, relative_absolute_error: 0.4115, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2402, root_relative_squared_error: 0.6445, run_cpu_time: 87.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.5965, kappa: -0.0008, kb_relative_information_score: 555430.5985, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.5965, predictive_accuracy: 0.5965, prior_entropy: 2.585, ram_hours: 0, recall: 0.5965, relative_absolute_error: 0.4842, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.9841, run_cpu_time: 11.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8437, kappa: 0.6071, kb_relative_information_score: 795418.0641, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8422, predictive_accuracy: 0.846, prior_entropy: 2.585, ram_hours: 0.1096, recall: 0.846, relative_absolute_error: 0.3121, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.5129, run_cpu_time: 1386.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.8232, kappa: 0.5536, kb_relative_information_score: 798950.5292, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8205, predictive_accuracy: 0.8287, prior_entropy: 2.585, ram_hours: 0, recall: 0.8287, relative_absolute_error: 0.2616, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.5613, run_cpu_time: 12.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.8697, kappa: 0.6735, kb_relative_information_score: 848479.4771, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8689, predictive_accuracy: 0.872, prior_entropy: 2.585, ram_hours: 0.0006, recall: 0.872, relative_absolute_error: 0.213, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.4639, run_cpu_time: 141.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.746, kappa: 0.2892, kb_relative_information_score: 753152.102, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7872, predictive_accuracy: 0.7954, prior_entropy: 2.585, ram_hours: 0, recall: 0.7954, relative_absolute_error: 0.3521, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.6007, run_cpu_time: 13.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.8697, kappa: 0.6735, kb_relative_information_score: 848479.4771, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8689, predictive_accuracy: 0.872, prior_entropy: 2.585, ram_hours: 0.0008, recall: 0.872, relative_absolute_error: 0.213, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.4639, run_cpu_time: 199.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.8622, kappa: 0.6503, kb_relative_information_score: 795667.6507, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8627, predictive_accuracy: 0.8689, prior_entropy: 2.585, ram_hours: 0.0008, recall: 0.8689, relative_absolute_error: 0.3262, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.5046, run_cpu_time: 186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0002, kb_relative_information_score: -91307.2559, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0001, predictive_accuracy: 0.0094, prior_entropy: 2.585, ram_hours: 0.0045, recall: 0.0094, relative_absolute_error: 1.1885, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.5414, run_cpu_time: 83.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0002, kb_relative_information_score: -91401.2992, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0001, predictive_accuracy: 0.0094, prior_entropy: 2.585, ram_hours: 0, recall: 0.0094, relative_absolute_error: 1.1887, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5746, root_relative_squared_error: 1.5419, run_cpu_time: 10.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8679, kappa: 0.6703, kb_relative_information_score: 848411.8237, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8672, predictive_accuracy: 0.8697, prior_entropy: 2.585, ram_hours: 0, recall: 0.8697, relative_absolute_error: 0.2107, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.4699, run_cpu_time: 34.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.8682, kappa: 0.6705, kb_relative_information_score: 849765.71, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8674, predictive_accuracy: 0.8701, prior_entropy: 2.585, ram_hours: 0, recall: 0.8701, relative_absolute_error: 0.2087, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.4685, run_cpu_time: 55.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.7534, kappa: 0.3197, kb_relative_information_score: 779895.0509, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7871, predictive_accuracy: 0.8013, prior_entropy: 2.585, ram_hours: 0.0022, recall: 0.8013, relative_absolute_error: 0.2981, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.5731, run_cpu_time: 11053.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.8769, kappa: 0.6914, kb_relative_information_score: 856659.9792, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8762, predictive_accuracy: 0.8788, prior_entropy: 2.585, ram_hours: 0.0086, recall: 0.8788, relative_absolute_error: 0.2023, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.4517, run_cpu_time: 380.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.7531, kappa: 0.3185, kb_relative_information_score: 779875.1364, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7868, predictive_accuracy: 0.8012, prior_entropy: 2.585, ram_hours: 0.0001, recall: 0.8012, relative_absolute_error: 0.2981, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.5732, run_cpu_time: 564.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8301, kappa: 0.5735, kb_relative_information_score: 796752.5528, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8345, predictive_accuracy: 0.8287, prior_entropy: 2.585, ram_hours: 0, recall: 0.8287, relative_absolute_error: 0.2866, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.5483, run_cpu_time: 28.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8679, kappa: 0.6703, kb_relative_information_score: 848411.8237, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8672, predictive_accuracy: 0.8697, prior_entropy: 2.585, ram_hours: 0, recall: 0.8697, relative_absolute_error: 0.2107, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.4699, run_cpu_time: 31.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.022, kb_relative_information_score: 20056.7042, mean_absolute_error: 0.2965, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0122, predictive_accuracy: 0.1106, prior_entropy: 2.585, ram_hours: 0, recall: 0.1106, relative_absolute_error: 1.0673, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5445, root_relative_squared_error: 1.461, run_cpu_time: 15.08,

    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

    Given a dataset with a nominal target, various data samples of increasing size are defined. A model is build for each individual data sample; from this a learning curve can be drawn.

    Given inputs

    Expected outputs

    evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (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