Task
Supervised Data Stream Classification on BNG(credit-a,nominal,1000000)

Supervised Data Stream Classification on BNG(credit-a,nominal,1000000)

Task 164 Supervised Data Stream Classification BNG(credit-a,nominal,1000000) 48 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.8641, kappa: 0.7247, kb_relative_information_score: 584691.9007, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.864, predictive_accuracy: 0.8641, prior_entropy: 1, ram_hours: 0, recall: 0.8641, relative_absolute_error: 0.447, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6505, run_cpu_time: 306.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.8689, kappa: 0.7349, kb_relative_information_score: 662720.6446, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8692, predictive_accuracy: 0.8687, prior_entropy: 1, ram_hours: 0, recall: 0.8687, relative_absolute_error: 0.3563, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6325, run_cpu_time: 8.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.8835, kappa: 0.7646, kb_relative_information_score: 684874.4535, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8841, predictive_accuracy: 0.8833, prior_entropy: 1, ram_hours: 0, recall: 0.8833, relative_absolute_error: 0.3367, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.5926, run_cpu_time: 14.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.8475, kappa: 0.6945, kb_relative_information_score: 694050, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8545, predictive_accuracy: 0.847, prior_entropy: 1, ram_hours: 0, recall: 0.847, relative_absolute_error: 0.306, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3911, root_relative_squared_error: 0.7822, run_cpu_time: 6.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.8841, kappa: 0.7657, kb_relative_information_score: 688129.231, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8846, predictive_accuracy: 0.8839, prior_entropy: 1, ram_hours: 0.0079, recall: 0.8839, relative_absolute_error: 0.3325, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2937, root_relative_squared_error: 0.5873, run_cpu_time: 313.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8638, kappa: 0.7242, kb_relative_information_score: 584707.6729, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8638, predictive_accuracy: 0.8639, prior_entropy: 1, ram_hours: 0.0007, recall: 0.8639, relative_absolute_error: 0.447, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6504, run_cpu_time: 4482.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.853, kappa: 0.7048, kb_relative_information_score: 705280, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8576, predictive_accuracy: 0.8526, prior_entropy: 1, ram_hours: 0, recall: 0.8526, relative_absolute_error: 0.2947, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7671, run_cpu_time: 8.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2742, kb_relative_information_score: -109796, mean_absolute_error: 0.5549, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.1981, predictive_accuracy: 0.4451, prior_entropy: 1, ram_hours: 0, recall: 0.4451, relative_absolute_error: 1.1098, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7449, root_relative_squared_error: 1.4898, run_cpu_time: 6.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.8651, kappa: 0.7267, kb_relative_information_score: 651201.2667, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.865, predictive_accuracy: 0.8652, prior_entropy: 1, ram_hours: 0, recall: 0.8652, relative_absolute_error: 0.3687, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.32, root_relative_squared_error: 0.64, run_cpu_time: 8.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.885, kappa: 0.7677, kb_relative_information_score: 682922.4693, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8857, predictive_accuracy: 0.8849, prior_entropy: 1, ram_hours: 0.0007, recall: 0.8849, relative_absolute_error: 0.34, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.5863, run_cpu_time: 118.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2742, kb_relative_information_score: -109796, mean_absolute_error: 0.5549, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.1981, predictive_accuracy: 0.4451, prior_entropy: 1, ram_hours: 0, recall: 0.4451, relative_absolute_error: 1.1098, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7449, root_relative_squared_error: 1.4898, run_cpu_time: 7.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.8835, kappa: 0.7646, kb_relative_information_score: 684874.4535, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8841, predictive_accuracy: 0.8833, prior_entropy: 1, ram_hours: 0, recall: 0.8833, relative_absolute_error: 0.3367, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.5926, run_cpu_time: 14.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.5056, kappa: -0.001, kb_relative_information_score: 11114, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5056, predictive_accuracy: 0.5056, prior_entropy: 1, ram_hours: 0, recall: 0.5056, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7032, root_relative_squared_error: 1.4063, run_cpu_time: 5.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3961, kappa: 0, kb_relative_information_score: 16461.1709, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5188, predictive_accuracy: 0.5549, prior_entropy: 1, ram_hours: 0, recall: 0.5549, relative_absolute_error: 0.988, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.994, run_cpu_time: 7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.8565, kappa: 0.7114, kb_relative_information_score: 579527.688, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.86, predictive_accuracy: 0.8561, prior_entropy: 1, ram_hours: 0, recall: 0.8561, relative_absolute_error: 0.4547, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.677, run_cpu_time: 7.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.8522, kappa: 0.7051, kb_relative_information_score: 703680, mean_absolute_error: 0.1482, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8628, predictive_accuracy: 0.8518, prior_entropy: 1, ram_hours: 0, recall: 0.8518, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.7692, run_cpu_time: 5.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.824, kappa: 0.645, kb_relative_information_score: 647178, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8256, predictive_accuracy: 0.8236, prior_entropy: 1, ram_hours: 0, recall: 0.8236, relative_absolute_error: 0.3528, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.42, root_relative_squared_error: 0.84, run_cpu_time: 6.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.885, kappa: 0.7677, kb_relative_information_score: 682922.4693, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8857, predictive_accuracy: 0.8849, prior_entropy: 1, ram_hours: 0.0006, recall: 0.8849, relative_absolute_error: 0.34, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.5863, run_cpu_time: 101.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2742, kb_relative_information_score: -109708, mean_absolute_error: 0.5549, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.1981, predictive_accuracy: 0.4451, prior_entropy: 1, ram_hours: 0.0017, recall: 0.4451, relative_absolute_error: 1.1097, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7447, root_relative_squared_error: 1.4894, run_cpu_time: 63.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8541, kappa: 0.7053, kb_relative_information_score: 606546.8397, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8547, predictive_accuracy: 0.8539, prior_entropy: 1, ram_hours: 0, recall: 0.8539, relative_absolute_error: 0.4176, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.6535, run_cpu_time: 11.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8582, kappa: 0.7125, kb_relative_information_score: 602456.7937, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8583, predictive_accuracy: 0.8584, prior_entropy: 1, ram_hours: 0, recall: 0.8584, relative_absolute_error: 0.4317, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.6744, run_cpu_time: 7.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8292, kappa: 0.6554, kb_relative_information_score: 492202.3151, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8307, predictive_accuracy: 0.8288, prior_entropy: 1, ram_hours: 0, recall: 0.8288, relative_absolute_error: 0.5416, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.7164, run_cpu_time: 58.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.8828, kappa: 0.7632, kb_relative_information_score: 683209.2109, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8834, predictive_accuracy: 0.8826, prior_entropy: 1, ram_hours: 0, recall: 0.8826, relative_absolute_error: 0.3382, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.5956, run_cpu_time: 28.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.8456, kappa: 0.6875, kb_relative_information_score: 439268.4631, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8456, predictive_accuracy: 0.8456, prior_entropy: 1, ram_hours: 0.0735, recall: 0.8456, relative_absolute_error: 0.6077, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.7126, run_cpu_time: 2697.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.8456, kappa: 0.6875, kb_relative_information_score: 439268.4631, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8456, predictive_accuracy: 0.8456, prior_entropy: 1, ram_hours: 0.0847, recall: 0.8456, relative_absolute_error: 0.6077, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.7126, run_cpu_time: 3102.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8748, kappa: 0.7467, kb_relative_information_score: 394304.9361, mean_absolute_error: 0.3308, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8749, predictive_accuracy: 0.8747, prior_entropy: 1, ram_hours: 0.0004, recall: 0.8747, relative_absolute_error: 0.6616, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7175, run_cpu_time: 83.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.885, kappa: 0.7679, kb_relative_information_score: 674469.0274, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8859, predictive_accuracy: 0.8848, prior_entropy: 1, recall: 0.8848, relative_absolute_error: 0.3503, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.5849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8582, kappa: 0.7125, kb_relative_information_score: 602456.7937, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8583, predictive_accuracy: 0.8584, prior_entropy: 1, recall: 0.8584, relative_absolute_error: 0.4317, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.8689, kappa: 0.735, kb_relative_information_score: 662686.7439, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8693, predictive_accuracy: 0.8688, prior_entropy: 1, recall: 0.8688, relative_absolute_error: 0.3563, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.8749, kappa: 0.7484, kb_relative_information_score: 738621.3717, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8787, predictive_accuracy: 0.8745, prior_entropy: 1, recall: 0.8745, relative_absolute_error: 0.2636, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.6605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8737, kappa: 0.7453, kb_relative_information_score: 740250.7562, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8754, predictive_accuracy: 0.8734, prior_entropy: 1, recall: 0.8734, relative_absolute_error: 0.2612, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.6672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.8524, kappa: 0.7055, kb_relative_information_score: 706202.65, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.863, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.2933, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2742, kb_relative_information_score: -109796, mean_absolute_error: 0.5549, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.1981, predictive_accuracy: 0.4451, prior_entropy: 1, recall: 0.4451, relative_absolute_error: 1.1098, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7449, root_relative_squared_error: 1.4898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.8522, kappa: 0.7051, kb_relative_information_score: 541660.8082, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8628, predictive_accuracy: 0.8518, prior_entropy: 1, recall: 0.8518, relative_absolute_error: 0.4991, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.6965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8755, kappa: 0.7491, kb_relative_information_score: 650963.0575, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8774, predictive_accuracy: 0.8752, prior_entropy: 1, recall: 0.8752, relative_absolute_error: 0.374, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.306, root_relative_squared_error: 0.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.7558, kappa: 0.5138, kb_relative_information_score: 412952.8915, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7672, predictive_accuracy: 0.7553, prior_entropy: 1, recall: 0.7553, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.8835, kappa: 0.7647, kb_relative_information_score: 684833.6467, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8841, predictive_accuracy: 0.8833, prior_entropy: 1, recall: 0.8833, relative_absolute_error: 0.3368, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.5926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.8522, kappa: 0.7051, kb_relative_information_score: 703592, mean_absolute_error: 0.1482, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8628, predictive_accuracy: 0.8518, prior_entropy: 1, recall: 0.8518, relative_absolute_error: 0.2964, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.385, root_relative_squared_error: 0.7699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8579, f_measure: 0.8522, kappa: 0.7051, kb_relative_information_score: 554759.5106, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8628, predictive_accuracy: 0.8518, prior_entropy: 1, recall: 0.8518, relative_absolute_error: 0.4843, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.6969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.8007, kappa: 0.5972, kb_relative_information_score: 578959.6528, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8013, predictive_accuracy: 0.8004, prior_entropy: 1, recall: 0.8004, relative_absolute_error: 0.4258, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.8231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.8686, kappa: 0.7355, kb_relative_information_score: 629442.6058, mean_absolute_error: 0.2001, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8717, predictive_accuracy: 0.8682, prior_entropy: 1, recall: 0.8682, relative_absolute_error: 0.4002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.6268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.8565, kappa: 0.7104, kb_relative_information_score: 708486.859, mean_absolute_error: 0.1459, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8578, predictive_accuracy: 0.8562, prior_entropy: 1, recall: 0.8562, relative_absolute_error: 0.2919, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.8475, kappa: 0.6945, kb_relative_information_score: 694038.5437, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8545, predictive_accuracy: 0.847, prior_entropy: 1, recall: 0.847, relative_absolute_error: 0.306, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3911, root_relative_squared_error: 0.7821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.8768, kappa: 0.7514, kb_relative_information_score: 654609.435, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8779, predictive_accuracy: 0.8766, prior_entropy: 1, recall: 0.8766, relative_absolute_error: 0.3733, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3071, root_relative_squared_error: 0.6142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.8746, kappa: 0.7467, kb_relative_information_score: 656061.7441, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8753, predictive_accuracy: 0.8744, prior_entropy: 1, recall: 0.8744, relative_absolute_error: 0.369, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3056, root_relative_squared_error: 0.6112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.8523, kappa: 0.7052, kb_relative_information_score: 554652.1127, mean_absolute_error: 0.2422, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8627, predictive_accuracy: 0.8519, prior_entropy: 1, recall: 0.8519, relative_absolute_error: 0.4845, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.348, root_relative_squared_error: 0.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8496, kappa: 0.696, kb_relative_information_score: 497266.2008, mean_absolute_error: 0.2719, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.85, predictive_accuracy: 0.8495, prior_entropy: 1, recall: 0.8495, relative_absolute_error: 0.5437, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.6944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2742, kb_relative_information_score: -109796, mean_absolute_error: 0.5549, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.1981, predictive_accuracy: 0.4451, prior_entropy: 1, recall: 0.4451, relative_absolute_error: 1.1098, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7449, root_relative_squared_error: 1.4898,

    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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