Task
Supervised Data Stream Classification on BNG(colic,nominal,1000000)

Supervised Data Stream Classification on BNG(colic,nominal,1000000)

Task 162 Supervised Data Stream Classification BNG(colic,nominal,1000000) 47 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.9021, kappa: 0.789, kb_relative_information_score: 721187.0817, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9022, predictive_accuracy: 0.9026, prior_entropy: 1, ram_hours: 0.0195, recall: 0.9026, relative_absolute_error: 0.3012, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2704, root_relative_squared_error: 0.5407, run_cpu_time: 461.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.8946, kappa: 0.7732, kb_relative_information_score: 719490.4033, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8945, predictive_accuracy: 0.895, prior_entropy: 1, ram_hours: 0, recall: 0.895, relative_absolute_error: 0.3002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.569, run_cpu_time: 20.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8573, kappa: 0.6935, kb_relative_information_score: 664409.5483, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8571, predictive_accuracy: 0.8576, prior_entropy: 1, ram_hours: 0, recall: 0.8576, relative_absolute_error: 0.3484, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.653, run_cpu_time: 13.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.8519, kappa: 0.68, kb_relative_information_score: 706642, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8522, predictive_accuracy: 0.8533, prior_entropy: 1, ram_hours: 0, recall: 0.8533, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.383, root_relative_squared_error: 0.766, run_cpu_time: 9.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7676, kappa: 0.5095, kb_relative_information_score: 410582.9155, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7737, predictive_accuracy: 0.765, prior_entropy: 1, ram_hours: 0, recall: 0.765, relative_absolute_error: 0.6161, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.7885, run_cpu_time: 75.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.8978, kappa: 0.7798, kb_relative_information_score: 715766.1161, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8978, predictive_accuracy: 0.8983, prior_entropy: 1, ram_hours: 0.0008, recall: 0.8983, relative_absolute_error: 0.3069, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.5522, run_cpu_time: 121.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.8556, kappa: 0.6884, kb_relative_information_score: 543185.5702, mean_absolute_error: 0.2459, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8557, predictive_accuracy: 0.8567, prior_entropy: 1, ram_hours: 0, recall: 0.8567, relative_absolute_error: 0.4918, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3292, root_relative_squared_error: 0.6585, run_cpu_time: 490.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.8557, kappa: 0.6888, kb_relative_information_score: 543220.6225, mean_absolute_error: 0.2459, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8556, predictive_accuracy: 0.8567, prior_entropy: 1, ram_hours: 0.0013, recall: 0.8567, relative_absolute_error: 0.4918, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3292, root_relative_squared_error: 0.6584, run_cpu_time: 8010.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.8946, kappa: 0.7732, kb_relative_information_score: 719490.4033, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8945, predictive_accuracy: 0.895, prior_entropy: 1, ram_hours: 0, recall: 0.895, relative_absolute_error: 0.3002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.569, run_cpu_time: 19.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8661, kappa: 0.712, kb_relative_information_score: 537708.392, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8659, predictive_accuracy: 0.8665, prior_entropy: 1, ram_hours: 0.1104, recall: 0.8665, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.6507, run_cpu_time: 1027.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.8978, kappa: 0.7798, kb_relative_information_score: 715766.1161, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8978, predictive_accuracy: 0.8983, prior_entropy: 1, ram_hours: 0.001, recall: 0.8983, relative_absolute_error: 0.3069, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.5522, run_cpu_time: 161.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.815, kappa: 0.6087, kb_relative_information_score: 626044, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8198, predictive_accuracy: 0.8132, prior_entropy: 1, ram_hours: 0, recall: 0.8132, relative_absolute_error: 0.374, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4321, root_relative_squared_error: 0.8642, run_cpu_time: 9.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.8386, kappa: 0.65, kb_relative_information_score: 555904.9939, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8406, predictive_accuracy: 0.8414, prior_entropy: 1, ram_hours: 0, recall: 0.8414, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.365, root_relative_squared_error: 0.73, run_cpu_time: 10.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4866, kb_relative_information_score: 259306, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.3965, predictive_accuracy: 0.6297, prior_entropy: 1, ram_hours: 0, recall: 0.6297, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6086, root_relative_squared_error: 1.2171, run_cpu_time: 10.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4866, kb_relative_information_score: 259022, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.3965, predictive_accuracy: 0.6297, prior_entropy: 1, ram_hours: 0.0029, recall: 0.6297, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6085, root_relative_squared_error: 1.2169, run_cpu_time: 80.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.8358, kappa: 0.6458, kb_relative_information_score: 553796.3047, mean_absolute_error: 0.2375, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8356, predictive_accuracy: 0.837, prior_entropy: 1, ram_hours: 0, recall: 0.837, relative_absolute_error: 0.4751, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3473, root_relative_squared_error: 0.6945, run_cpu_time: 13.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.837, kappa: 0.6493, kb_relative_information_score: 675218, mean_absolute_error: 0.1624, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8367, predictive_accuracy: 0.8376, prior_entropy: 1, ram_hours: 0, recall: 0.8376, relative_absolute_error: 0.3248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.403, root_relative_squared_error: 0.806, run_cpu_time: 9.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.8938, kappa: 0.7714, kb_relative_information_score: 717451.331, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8938, predictive_accuracy: 0.8943, prior_entropy: 1, ram_hours: 0, recall: 0.8943, relative_absolute_error: 0.3023, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.573, run_cpu_time: 38.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.4866, kappa: 0, kb_relative_information_score: 86547.3308, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5604, predictive_accuracy: 0.6296, prior_entropy: 1, ram_hours: 0, recall: 0.6296, relative_absolute_error: 0.9325, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4829, root_relative_squared_error: 0.9658, run_cpu_time: 10.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4866, kb_relative_information_score: 259306, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.3965, predictive_accuracy: 0.6297, prior_entropy: 1, ram_hours: 0, recall: 0.6297, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6086, root_relative_squared_error: 1.2171, run_cpu_time: 11.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.8727, kappa: 0.7246, kb_relative_information_score: 748032, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8737, predictive_accuracy: 0.8742, prior_entropy: 1, ram_hours: 0, recall: 0.8742, relative_absolute_error: 0.252, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7092, run_cpu_time: 17.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.8554, kappa: 0.6885, kb_relative_information_score: 661766.3454, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8552, predictive_accuracy: 0.8562, prior_entropy: 1, ram_hours: 0, recall: 0.8562, relative_absolute_error: 0.3509, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.6577, run_cpu_time: 12.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.9028, kappa: 0.7908, kb_relative_information_score: 430668.8145, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9028, predictive_accuracy: 0.9032, prior_entropy: 1, ram_hours: 0.0009, recall: 0.9032, relative_absolute_error: 0.6294, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.341, root_relative_squared_error: 0.6821, run_cpu_time: 119.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5336, kappa: -0.0001, kb_relative_information_score: 67136, mean_absolute_error: 0.4664, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5336, predictive_accuracy: 0.5336, prior_entropy: 1, ram_hours: 0, recall: 0.5336, relative_absolute_error: 0.9329, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.683, root_relative_squared_error: 1.3659, run_cpu_time: 9.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.8387, kappa: 0.6519, kb_relative_information_score: 586107.7643, mean_absolute_error: 0.2191, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8385, predictive_accuracy: 0.8399, prior_entropy: 1, ram_hours: 0, recall: 0.8399, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7043, run_cpu_time: 10.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.8983, kappa: 0.7809, kb_relative_information_score: 716497.9261, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8983, predictive_accuracy: 0.8988, prior_entropy: 1, recall: 0.8988, relative_absolute_error: 0.3063, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.5517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.8386, kappa: 0.65, kb_relative_information_score: 555904.9939, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8406, predictive_accuracy: 0.8414, prior_entropy: 1, recall: 0.8414, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.365, root_relative_squared_error: 0.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8573, kappa: 0.6935, kb_relative_information_score: 664377.9337, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8571, predictive_accuracy: 0.8575, prior_entropy: 1, recall: 0.8575, relative_absolute_error: 0.3484, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.6531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8848, kappa: 0.7519, kb_relative_information_score: 754148.8382, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8848, predictive_accuracy: 0.8854, prior_entropy: 1, recall: 0.8854, relative_absolute_error: 0.2496, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3051, root_relative_squared_error: 0.6102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.8834, kappa: 0.7486, kb_relative_information_score: 753337.1606, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8834, predictive_accuracy: 0.8841, prior_entropy: 1, recall: 0.8841, relative_absolute_error: 0.2501, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.6158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8826, kappa: 0.7464, kb_relative_information_score: 759715.0105, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8833, predictive_accuracy: 0.8838, prior_entropy: 1, recall: 0.8838, relative_absolute_error: 0.242, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.6314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4866, kb_relative_information_score: 259306, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.3965, predictive_accuracy: 0.6297, prior_entropy: 1, recall: 0.6297, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6086, root_relative_squared_error: 1.2171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.8348, kappa: 0.6463, kb_relative_information_score: 566329.2784, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8351, predictive_accuracy: 0.8346, prior_entropy: 1, recall: 0.8346, relative_absolute_error: 0.4647, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.7369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.8851, kappa: 0.7526, kb_relative_information_score: 687798.4829, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.885, predictive_accuracy: 0.8855, prior_entropy: 1, recall: 0.8855, relative_absolute_error: 0.3326, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, f_measure: 0.8317, kappa: 0.6375, kb_relative_information_score: 598620.5695, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8313, predictive_accuracy: 0.8325, prior_entropy: 1, recall: 0.8325, relative_absolute_error: 0.4176, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.7001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.8941, kappa: 0.7719, kb_relative_information_score: 715767.5247, mean_absolute_error: 0.1525, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8942, predictive_accuracy: 0.8947, prior_entropy: 1, recall: 0.8947, relative_absolute_error: 0.3051, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2859, root_relative_squared_error: 0.5719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8116, f_measure: 0.815, kappa: 0.6087, kb_relative_information_score: 626328, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8198, predictive_accuracy: 0.8132, prior_entropy: 1, recall: 0.8132, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.815, kappa: 0.6087, kb_relative_information_score: 456427.1721, mean_absolute_error: 0.2922, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8198, predictive_accuracy: 0.8132, prior_entropy: 1, recall: 0.8132, relative_absolute_error: 0.5843, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.7647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.7739, kappa: 0.511, kb_relative_information_score: 478380.5045, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7734, predictive_accuracy: 0.7765, prior_entropy: 1, recall: 0.7765, relative_absolute_error: 0.5359, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.8718, kappa: 0.7235, kb_relative_information_score: 626264.2915, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8721, predictive_accuracy: 0.8728, prior_entropy: 1, recall: 0.8728, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3065, root_relative_squared_error: 0.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8697, kappa: 0.7185, kb_relative_information_score: 630668.6019, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8701, predictive_accuracy: 0.8709, prior_entropy: 1, recall: 0.8709, relative_absolute_error: 0.3961, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.6164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.858, kappa: 0.6927, kb_relative_information_score: 715823.1928, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8589, predictive_accuracy: 0.8597, prior_entropy: 1, recall: 0.8597, relative_absolute_error: 0.2845, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.8519, kappa: 0.68, kb_relative_information_score: 706637.3504, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8522, predictive_accuracy: 0.8533, prior_entropy: 1, recall: 0.8533, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8734, kappa: 0.7271, kb_relative_information_score: 639648.0714, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8734, predictive_accuracy: 0.8742, prior_entropy: 1, recall: 0.8742, relative_absolute_error: 0.3879, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3069, root_relative_squared_error: 0.6139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.815, kappa: 0.6087, kb_relative_information_score: 456542.6699, mean_absolute_error: 0.2921, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8198, predictive_accuracy: 0.8132, prior_entropy: 1, recall: 0.8132, relative_absolute_error: 0.5843, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.7643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.8458, kappa: 0.6656, kb_relative_information_score: 543874.3336, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8483, predictive_accuracy: 0.8486, prior_entropy: 1, recall: 0.8486, relative_absolute_error: 0.4903, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.6678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4866, kb_relative_information_score: 259306, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.3965, predictive_accuracy: 0.6297, prior_entropy: 1, recall: 0.6297, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6086, root_relative_squared_error: 1.2171,

    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)

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