Task
Supervised Data Stream Classification on BNG(heart-statlog,nominal,1000000)

Supervised Data Stream Classification on BNG(heart-statlog,nominal,1000000)

Task 179 Supervised Data Stream Classification BNG(heart-statlog,nominal,1000000) 46 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.8898, kappa: 0.7768, kb_relative_information_score: 696749.1789, mean_absolute_error: 0.1624, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8898, predictive_accuracy: 0.8899, prior_entropy: 1, recall: 0.8899, relative_absolute_error: 0.3248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2842, root_relative_squared_error: 0.5683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8556, kappa: 0.7078, kb_relative_information_score: 558819.1628, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8556, predictive_accuracy: 0.8556, prior_entropy: 1, recall: 0.8556, relative_absolute_error: 0.4734, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.6552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.8826, kappa: 0.7622, kb_relative_information_score: 761962.9256, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8827, predictive_accuracy: 0.8828, prior_entropy: 1, recall: 0.8828, relative_absolute_error: 0.2388, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.6464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8829, kappa: 0.7628, kb_relative_information_score: 759852.2686, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8829, predictive_accuracy: 0.883, prior_entropy: 1, recall: 0.883, relative_absolute_error: 0.2416, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.6374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.8757, kappa: 0.7485, kb_relative_information_score: 687250.7146, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8757, predictive_accuracy: 0.8758, prior_entropy: 1, recall: 0.8758, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.5996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.8788, kappa: 0.7544, kb_relative_information_score: 630846.053, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.879, predictive_accuracy: 0.8791, prior_entropy: 1, recall: 0.8791, relative_absolute_error: 0.4031, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.6022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.8827, kappa: 0.7624, kb_relative_information_score: 682473.8824, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8827, predictive_accuracy: 0.8828, prior_entropy: 1, recall: 0.8828, relative_absolute_error: 0.338, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.5831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3954, kb_relative_information_score: 108648, mean_absolute_error: 0.4457, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.3073, predictive_accuracy: 0.5543, prior_entropy: 1, recall: 0.5543, relative_absolute_error: 0.8914, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6676, root_relative_squared_error: 1.3352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.8623, kappa: 0.7213, kb_relative_information_score: 724595.8516, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8623, predictive_accuracy: 0.8623, prior_entropy: 1, recall: 0.8623, relative_absolute_error: 0.2754, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.7417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8257, kappa: 0.6468, kb_relative_information_score: 619575.7756, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8258, predictive_accuracy: 0.826, prior_entropy: 1, recall: 0.826, relative_absolute_error: 0.3885, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8764, kappa: 0.7496, kb_relative_information_score: 648000.2423, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8764, predictive_accuracy: 0.8765, prior_entropy: 1, recall: 0.8765, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7561, kappa: 0.5057, kb_relative_information_score: 309973.7637, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.756, predictive_accuracy: 0.7566, prior_entropy: 1, recall: 0.7566, relative_absolute_error: 0.7326, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.419, root_relative_squared_error: 0.8379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7644, f_measure: 0.754, kappa: 0.5024, kb_relative_information_score: 507812.6537, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7542, predictive_accuracy: 0.7539, prior_entropy: 1, recall: 0.7539, relative_absolute_error: 0.4922, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4895, root_relative_squared_error: 0.9789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.8719, kappa: 0.7404, kb_relative_information_score: 626998.0946, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8719, predictive_accuracy: 0.872, prior_entropy: 1, recall: 0.872, relative_absolute_error: 0.4022, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.6119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8651, kappa: 0.7267, kb_relative_information_score: 725362.3574, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.865, predictive_accuracy: 0.8651, prior_entropy: 1, recall: 0.8651, relative_absolute_error: 0.2757, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.6961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.8325, kappa: 0.6604, kb_relative_information_score: 536621.7886, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8327, predictive_accuracy: 0.8329, prior_entropy: 1, recall: 0.8329, relative_absolute_error: 0.5004, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.7404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.7803, kappa: 0.5547, kb_relative_information_score: 504247.173, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.79, predictive_accuracy: 0.7844, prior_entropy: 1, recall: 0.7844, relative_absolute_error: 0.5108, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.7934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.7559, kappa: 0.5056, kb_relative_information_score: 310562.1721, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7557, predictive_accuracy: 0.7561, prior_entropy: 1, recall: 0.7561, relative_absolute_error: 0.7321, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.8875, kappa: 0.7721, kb_relative_information_score: 697040.5933, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8875, predictive_accuracy: 0.8876, prior_entropy: 1, recall: 0.8876, relative_absolute_error: 0.3228, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.5787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3954, kb_relative_information_score: 108648, mean_absolute_error: 0.4457, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.3073, predictive_accuracy: 0.5543, prior_entropy: 1, recall: 0.5543, relative_absolute_error: 0.8914, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6676, root_relative_squared_error: 1.3352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.8373, kappa: 0.6704, kb_relative_information_score: 590374.888, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8373, predictive_accuracy: 0.8376, prior_entropy: 1, recall: 0.8376, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.7411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.887, kappa: 0.7711, kb_relative_information_score: 697419.0015, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.887, predictive_accuracy: 0.8871, prior_entropy: 1, ram_hours: 0, recall: 0.8871, relative_absolute_error: 0.3219, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.5803, run_cpu_time: 36.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7523, f_measure: 0.7558, kappa: 0.5053, kb_relative_information_score: 512230, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7557, predictive_accuracy: 0.7562, prior_entropy: 1, ram_hours: 0, recall: 0.7562, relative_absolute_error: 0.4878, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4936, root_relative_squared_error: 0.9872, run_cpu_time: 6.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.8893, kappa: 0.7757, kb_relative_information_score: 695420.6868, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8893, predictive_accuracy: 0.8894, prior_entropy: 1, ram_hours: 0.0003, recall: 0.8894, relative_absolute_error: 0.3262, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.5696, run_cpu_time: 81.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3955, kappa: 0, kb_relative_information_score: 16234.3338, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5249, predictive_accuracy: 0.5543, prior_entropy: 1, ram_hours: 0, recall: 0.5543, relative_absolute_error: 0.9881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.9941, run_cpu_time: 7.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3954, kb_relative_information_score: 108648, mean_absolute_error: 0.4457, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.3073, predictive_accuracy: 0.5543, prior_entropy: 1, ram_hours: 0, recall: 0.5543, relative_absolute_error: 0.8914, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6676, root_relative_squared_error: 1.3352, run_cpu_time: 7.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, f_measure: 0.8761, kappa: 0.7487, kb_relative_information_score: 752896, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8767, predictive_accuracy: 0.8765, prior_entropy: 1, ram_hours: 0, recall: 0.8765, relative_absolute_error: 0.2471, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.7023, run_cpu_time: 9.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.8839, kappa: 0.7648, kb_relative_information_score: 425292.5296, mean_absolute_error: 0.3144, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8838, predictive_accuracy: 0.8839, prior_entropy: 1, ram_hours: 0.0003, recall: 0.8839, relative_absolute_error: 0.6289, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.6944, run_cpu_time: 85.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.8373, kappa: 0.6704, kb_relative_information_score: 590374.888, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8373, predictive_accuracy: 0.8376, prior_entropy: 1, ram_hours: 0, recall: 0.8376, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.7411, run_cpu_time: 9.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8875, kappa: 0.7721, kb_relative_information_score: 698245.6048, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8875, predictive_accuracy: 0.8876, prior_entropy: 1, ram_hours: 0, recall: 0.8876, relative_absolute_error: 0.3212, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.5782, run_cpu_time: 12.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, f_measure: 0.5073, kappa: 0.0027, kb_relative_information_score: 14504, mean_absolute_error: 0.4927, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5073, predictive_accuracy: 0.5073, prior_entropy: 1, ram_hours: 0, recall: 0.5073, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.702, root_relative_squared_error: 1.4039, run_cpu_time: 6.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.8893, kappa: 0.7757, kb_relative_information_score: 695420.6868, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8893, predictive_accuracy: 0.8894, prior_entropy: 1, ram_hours: 0.0004, recall: 0.8894, relative_absolute_error: 0.3262, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.5696, run_cpu_time: 114.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3954, kb_relative_information_score: 108648, mean_absolute_error: 0.4457, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.3073, predictive_accuracy: 0.5543, prior_entropy: 1, ram_hours: 0, recall: 0.5543, relative_absolute_error: 0.8914, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6676, root_relative_squared_error: 1.3352, run_cpu_time: 7.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.8555, kappa: 0.7074, kb_relative_information_score: 711284, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8555, predictive_accuracy: 0.8556, prior_entropy: 1, ram_hours: 0, recall: 0.8556, relative_absolute_error: 0.2887, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.7599, run_cpu_time: 6.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.8317, kappa: 0.6584, kb_relative_information_score: 568243.2884, mean_absolute_error: 0.2297, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8331, predictive_accuracy: 0.8326, prior_entropy: 1, ram_hours: 0, recall: 0.8326, relative_absolute_error: 0.4594, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7272, run_cpu_time: 8.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.8561, kappa: 0.7086, kb_relative_information_score: 502567.6231, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.856, predictive_accuracy: 0.8561, prior_entropy: 1, ram_hours: 0.1405, recall: 0.8561, relative_absolute_error: 0.5386, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.6737, run_cpu_time: 3706.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.8418, kappa: 0.6794, kb_relative_information_score: 573783.9244, mean_absolute_error: 0.2261, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.842, predictive_accuracy: 0.8422, prior_entropy: 1, ram_hours: 0, recall: 0.8422, relative_absolute_error: 0.4521, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6785, run_cpu_time: 10.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3954, kb_relative_information_score: 108534, mean_absolute_error: 0.4457, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.3073, predictive_accuracy: 0.5543, prior_entropy: 1, ram_hours: 0.0018, recall: 0.5543, relative_absolute_error: 0.8915, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6674, root_relative_squared_error: 1.3349, run_cpu_time: 76.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.7814, kappa: 0.5589, kb_relative_information_score: 433878.249, mean_absolute_error: 0.2984, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7826, predictive_accuracy: 0.781, prior_entropy: 1, ram_hours: 0, recall: 0.781, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.7785, run_cpu_time: 65.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.875, kappa: 0.7466, kb_relative_information_score: 681346.8703, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8751, predictive_accuracy: 0.8752, prior_entropy: 1, ram_hours: 0, recall: 0.8752, relative_absolute_error: 0.3358, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.6012, run_cpu_time: 9.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.8653, kappa: 0.7266, kb_relative_information_score: 603694.6106, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8689, predictive_accuracy: 0.8664, prior_entropy: 1, ram_hours: 0.0006, recall: 0.8664, relative_absolute_error: 0.4243, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3129, root_relative_squared_error: 0.6258, run_cpu_time: 4586.53,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.8909, kappa: 0.7789, kb_relative_information_score: 703955.0604, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8909, predictive_accuracy: 0.891, prior_entropy: 1, ram_hours: 0.0045, recall: 0.891, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2827, root_relative_squared_error: 0.5654, run_cpu_time: 245.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.8623, kappa: 0.7213, kb_relative_information_score: 724648, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8623, predictive_accuracy: 0.8623, prior_entropy: 1, ram_hours: 0, recall: 0.8623, relative_absolute_error: 0.2754, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.371, root_relative_squared_error: 0.7421, run_cpu_time: 6.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.8758, kappa: 0.7485, kb_relative_information_score: 687273.6672, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8758, predictive_accuracy: 0.8758, prior_entropy: 1, ram_hours: 0, recall: 0.8758, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.5995, run_cpu_time: 9.44,

    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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