Task
Supervised Data Stream Classification on BNG(mfeat-fourier,nominal,1000000)

Supervised Data Stream Classification on BNG(mfeat-fourier,nominal,1000000)

Task 128 Supervised Data Stream Classification BNG(mfeat-fourier,nominal,1000000) 44 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.8591, kappa: 0.8437, kb_relative_information_score: 281657.097, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8589, predictive_accuracy: 0.8593, prior_entropy: 3.3219, recall: 0.8593, relative_absolute_error: 0.898, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.9138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5553, f_measure: 0.1142, kappa: 0.1008, kb_relative_information_score: 152645.7861, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.1095, predictive_accuracy: 0.1906, prior_entropy: 3.3219, recall: 0.1906, relative_absolute_error: 0.9083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3974, root_relative_squared_error: 1.3248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.8397, kappa: 0.8223, kb_relative_information_score: 843861.6675, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8402, predictive_accuracy: 0.84, prior_entropy: 3.3219, recall: 0.84, relative_absolute_error: 0.2217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.5052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.8556, kappa: 0.8415, kb_relative_information_score: 830242.4465, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8552, predictive_accuracy: 0.8573, prior_entropy: 3.3219, recall: 0.8573, relative_absolute_error: 0.2706, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.4873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 58878.9124, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.01, predictive_accuracy: 0.1001, prior_entropy: 3.3219, recall: 0.1001, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5529, f_measure: 0.117, kappa: 0.1056, kb_relative_information_score: 158111.1954, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.1104, predictive_accuracy: 0.1949, prior_entropy: 3.3219, recall: 0.1949, relative_absolute_error: 0.8945, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4013, root_relative_squared_error: 1.3375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.8014, kappa: 0.781, kb_relative_information_score: 723503.7659, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8005, predictive_accuracy: 0.8029, prior_entropy: 3.3219, recall: 0.8029, relative_absolute_error: 0.4357, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.5937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5532, f_measure: 0.1164, kappa: 0.1061, kb_relative_information_score: 158541.7928, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.1085, predictive_accuracy: 0.1953, prior_entropy: 3.3219, recall: 0.1953, relative_absolute_error: 0.8941, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4011, root_relative_squared_error: 1.3371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.7681, kappa: 0.7443, kb_relative_information_score: 726675.8301, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.767, predictive_accuracy: 0.7698, prior_entropy: 3.3219, recall: 0.7698, relative_absolute_error: 0.4183, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6884, f_measure: 0.1491, kappa: 0.1057, kb_relative_information_score: 195965.0469, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.192, predictive_accuracy: 0.1952, prior_entropy: 3.3219, recall: 0.1952, relative_absolute_error: 0.9313, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.9665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6062, f_measure: 0.1586, kappa: 0.1939, kb_relative_information_score: 256989.4945, mean_absolute_error: 0.1455, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.2314, predictive_accuracy: 0.2746, prior_entropy: 3.3219, recall: 0.2746, relative_absolute_error: 0.8083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3638, root_relative_squared_error: 1.2126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.7548, kappa: 0.7297, kb_relative_information_score: 716056.316, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7536, predictive_accuracy: 0.7567, prior_entropy: 3.3219, recall: 0.7567, relative_absolute_error: 0.4327, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.6159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.7774, kappa: 0.7645, kb_relative_information_score: 780961.0844, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7813, predictive_accuracy: 0.788, prior_entropy: 3.3219, recall: 0.788, relative_absolute_error: 0.254, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.6622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.6166, kappa: 0.5765, kb_relative_information_score: 576841.5924, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.6303, predictive_accuracy: 0.6189, prior_entropy: 3.3219, recall: 0.6189, relative_absolute_error: 0.4897, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.8395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.8526, kappa: 0.8366, kb_relative_information_score: 858766.4956, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.853, predictive_accuracy: 0.8529, prior_entropy: 3.3219, recall: 0.8529, relative_absolute_error: 0.1974, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7278, f_measure: 0.1028, kappa: 0.1313, kb_relative_information_score: 211042.6527, mean_absolute_error: 0.1659, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.1237, predictive_accuracy: 0.2181, prior_entropy: 3.3219, recall: 0.2181, relative_absolute_error: 0.9216, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.288, root_relative_squared_error: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.8014, kappa: 0.7817, kb_relative_information_score: 800429.4983, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8015, predictive_accuracy: 0.8035, prior_entropy: 3.3219, recall: 0.8035, relative_absolute_error: 0.2816, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.5585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 58878.9124, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.01, predictive_accuracy: 0.1001, prior_entropy: 3.3219, recall: 0.1001, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.5978, kappa: 0.5536, kb_relative_information_score: 586862.4787, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.5986, predictive_accuracy: 0.5982, prior_entropy: 3.3219, recall: 0.5982, relative_absolute_error: 0.4789, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.8717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.8245, kappa: 0.8054, kb_relative_information_score: 832414.069, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8246, predictive_accuracy: 0.8248, prior_entropy: 3.3219, ram_hours: 0, recall: 0.8248, relative_absolute_error: 0.2212, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.5357, run_cpu_time: 98.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.8075, kappa: 0.7867, kb_relative_information_score: 718665.0751, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8071, predictive_accuracy: 0.8081, prior_entropy: 3.3219, ram_hours: 0.0583, recall: 0.8081, relative_absolute_error: 0.457, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.6059, run_cpu_time: 1218.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0999, kappa: -0.0001, kb_relative_information_score: 58732.5064, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.0999, predictive_accuracy: 0.0999, prior_entropy: 3.3219, ram_hours: 0, recall: 0.0999, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4143, run_cpu_time: 29.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5973, f_measure: 0.1519, kappa: 0.1945, kb_relative_information_score: 241891.4462, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.1128, predictive_accuracy: 0.2751, prior_entropy: 3.3219, ram_hours: 0, recall: 0.2751, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3806, root_relative_squared_error: 1.2688, run_cpu_time: 30.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.5479, kappa: 0.503, kb_relative_information_score: 528210.4799, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.5488, predictive_accuracy: 0.5527, prior_entropy: 3.3219, ram_hours: 0, recall: 0.5527, relative_absolute_error: 0.6289, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.7953, run_cpu_time: 51.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.8484, kappa: 0.8331, kb_relative_information_score: 823308.4381, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8477, predictive_accuracy: 0.8498, prior_entropy: 3.3219, ram_hours: 0.005, recall: 0.8498, relative_absolute_error: 0.2774, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.4974, run_cpu_time: 752.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.0477, kappa: -0.0004, kb_relative_information_score: 775.8012, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.0851, predictive_accuracy: 0.1001, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1001, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, run_cpu_time: 38.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.5978, kappa: 0.5536, kb_relative_information_score: 586862.4787, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.5986, predictive_accuracy: 0.5982, prior_entropy: 3.3219, ram_hours: 0, recall: 0.5982, relative_absolute_error: 0.4789, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.8717, run_cpu_time: 32.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 58878.9124, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.01, predictive_accuracy: 0.1001, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1001, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142, run_cpu_time: 30.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.6032, kappa: 0.565, kb_relative_information_score: 588496.5038, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.6152, predictive_accuracy: 0.6085, prior_entropy: 3.3219, ram_hours: 0, recall: 0.6085, relative_absolute_error: 0.5455, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.7713, run_cpu_time: 33.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.8885, kappa: 0.8767, kb_relative_information_score: 829493.2382, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8882, predictive_accuracy: 0.889, prior_entropy: 3.3219, ram_hours: 0.0036, recall: 0.889, relative_absolute_error: 0.3031, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.4643, run_cpu_time: 565.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 58878.9124, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.01, predictive_accuracy: 0.1001, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1001, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142, run_cpu_time: 39.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.553, f_measure: 0.1164, kappa: 0.1061, kb_relative_information_score: 158498.8167, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.1086, predictive_accuracy: 0.1953, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1953, relative_absolute_error: 0.8941, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4012, root_relative_squared_error: 1.3372, run_cpu_time: 34.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.793, kappa: 0.7722, kb_relative_information_score: 800595.4553, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7926, predictive_accuracy: 0.795, prior_entropy: 3.3219, ram_hours: 0, recall: 0.795, relative_absolute_error: 0.2679, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.5757, run_cpu_time: 149.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7912, kappa: 0.7691, kb_relative_information_score: 281148.5971, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7918, predictive_accuracy: 0.7922, prior_entropy: 3.3219, ram_hours: 0, recall: 0.7922, relative_absolute_error: 0.8979, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.9157, run_cpu_time: 85.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 58814.8654, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.01, predictive_accuracy: 0.1001, prior_entropy: 3.3219, ram_hours: 0.01, recall: 0.1001, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4241, root_relative_squared_error: 1.4138, run_cpu_time: 102.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.8492, kappa: 0.8329, kb_relative_information_score: 851565.8855, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8496, predictive_accuracy: 0.8496, prior_entropy: 3.3219, ram_hours: 0.0002, recall: 0.8496, relative_absolute_error: 0.2133, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.4902, run_cpu_time: 1059.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.8014, kappa: 0.7817, kb_relative_information_score: 800429.4983, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8015, predictive_accuracy: 0.8035, prior_entropy: 3.3219, ram_hours: 0.0001, recall: 0.8035, relative_absolute_error: 0.2816, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.5585, run_cpu_time: 93.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.3854, kappa: 0.3537, kb_relative_information_score: 372373.0101, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.4008, predictive_accuracy: 0.4184, prior_entropy: 3.3219, ram_hours: 0.0003, recall: 0.4184, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.8703, run_cpu_time: 142.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.6685, kappa: 0.6323, kb_relative_information_score: 617860.4896, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7031, predictive_accuracy: 0.669, prior_entropy: 3.3219, ram_hours: 0.0003, recall: 0.669, relative_absolute_error: 0.5471, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.7205, run_cpu_time: 1528.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.6695, kappa: 0.6333, kb_relative_information_score: 617980.5809, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7038, predictive_accuracy: 0.67, prior_entropy: 3.3219, ram_hours: 0.0089, recall: 0.67, relative_absolute_error: 0.5471, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.7203, run_cpu_time: 31218.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.8527, kappa: 0.8367, kb_relative_information_score: 859754.8999, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8531, predictive_accuracy: 0.853, prior_entropy: 3.3219, ram_hours: 0, recall: 0.853, relative_absolute_error: 0.1951, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.487, run_cpu_time: 79.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.8014, kappa: 0.7817, kb_relative_information_score: 800429.4983, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8015, predictive_accuracy: 0.8035, prior_entropy: 3.3219, ram_hours: 0.0001, recall: 0.8035, relative_absolute_error: 0.2816, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.5585, run_cpu_time: 97.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.8464, kappa: 0.8297, kb_relative_information_score: 837539.7099, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8466, predictive_accuracy: 0.8467, prior_entropy: 3.3219, ram_hours: 0.0008, recall: 0.8467, relative_absolute_error: 0.2489, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.4913, run_cpu_time: 1083.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5528, f_measure: 0.117, kappa: 0.1056, kb_relative_information_score: 158101.4289, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.1104, predictive_accuracy: 0.1949, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1949, relative_absolute_error: 0.8945, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4013, root_relative_squared_error: 1.3375, run_cpu_time: 29.77,

    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

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    From your own software

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

    OpenML APIs