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

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

Task 161 Supervised Data Stream Classification BNG(colic.ORIG,nominal,1000000) 48 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.7642, kappa: 0.461, kb_relative_information_score: 425039.1754, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7663, predictive_accuracy: 0.7727, prior_entropy: 1, recall: 0.7727, relative_absolute_error: 0.6019, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.7903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.842, f_measure: 0.8003, kappa: 0.5424, kb_relative_information_score: 608817.5962, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8084, predictive_accuracy: 0.8094, prior_entropy: 1, recall: 0.8094, relative_absolute_error: 0.3934, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.7924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.842, f_measure: 0.8003, kappa: 0.5424, kb_relative_information_score: 608817.5962, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8084, predictive_accuracy: 0.8094, prior_entropy: 1, recall: 0.8094, relative_absolute_error: 0.3934, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.7924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.6931, kappa: 0.309, kb_relative_information_score: 350035.7602, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6914, predictive_accuracy: 0.6953, prior_entropy: 1, recall: 0.6953, relative_absolute_error: 0.6592, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.7955, kappa: 0.5403, kb_relative_information_score: 574696.9042, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7948, predictive_accuracy: 0.7967, prior_entropy: 1, recall: 0.7967, relative_absolute_error: 0.4319, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.8078, kappa: 0.5626, kb_relative_information_score: 607146.028, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8088, predictive_accuracy: 0.8124, prior_entropy: 1, recall: 0.8124, relative_absolute_error: 0.3969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.7978, kappa: 0.543, kb_relative_information_score: 517870.209, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7969, predictive_accuracy: 0.8002, prior_entropy: 1, recall: 0.8002, relative_absolute_error: 0.5003, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.7395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.7005, kappa: 0.3437, kb_relative_information_score: 392094.5633, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7084, predictive_accuracy: 0.696, prior_entropy: 1, recall: 0.696, relative_absolute_error: 0.6079, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5497, root_relative_squared_error: 1.0995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5284, kb_relative_information_score: 325554, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.4393, predictive_accuracy: 0.6628, prior_entropy: 1, recall: 0.6628, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5807, root_relative_squared_error: 1.1614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6851, f_measure: 0.6927, kappa: 0.3062, kb_relative_information_score: 388505.657, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6904, predictive_accuracy: 0.6961, prior_entropy: 1, recall: 0.6961, relative_absolute_error: 0.6118, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5239, root_relative_squared_error: 1.0478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.5563, kappa: 0.0011, kb_relative_information_score: 109920.7655, mean_absolute_error: 0.4454, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5535, predictive_accuracy: 0.5594, prior_entropy: 1, recall: 0.5594, relative_absolute_error: 0.8908, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6477, root_relative_squared_error: 1.2954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.7918, kappa: 0.5239, kb_relative_information_score: 449728.5572, mean_absolute_error: 0.2926, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7958, predictive_accuracy: 0.7995, prior_entropy: 1, recall: 0.7995, relative_absolute_error: 0.5851, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.7656, kappa: 0.4657, kb_relative_information_score: 433704.8093, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.766, predictive_accuracy: 0.7723, prior_entropy: 1, recall: 0.7723, relative_absolute_error: 0.5871, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.7813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, f_measure: 0.5284, kb_relative_information_score: 267843.3567, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.4393, predictive_accuracy: 0.6628, prior_entropy: 1, recall: 0.6628, relative_absolute_error: 0.7355, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.8583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5458, f_measure: 0.6093, kappa: 0.1016, kb_relative_information_score: 276430, mean_absolute_error: 0.3618, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6043, predictive_accuracy: 0.6382, prior_entropy: 1, recall: 0.6382, relative_absolute_error: 0.7236, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6015, root_relative_squared_error: 1.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5659, f_measure: 0.6095, kappa: 0.1025, kb_relative_information_score: 191640.9668, mean_absolute_error: 0.4079, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6032, predictive_accuracy: 0.634, prior_entropy: 1, recall: 0.634, relative_absolute_error: 0.8158, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5523, root_relative_squared_error: 1.1046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5054, f_measure: 0.5672, kappa: 0.0129, kb_relative_information_score: 250599.7582, mean_absolute_error: 0.3747, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5614, predictive_accuracy: 0.6265, prior_entropy: 1, recall: 0.6265, relative_absolute_error: 0.7494, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.7598, kappa: 0.4647, kb_relative_information_score: 384248.6174, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7608, predictive_accuracy: 0.7589, prior_entropy: 1, recall: 0.7589, relative_absolute_error: 0.6507, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.8286, kappa: 0.6141, kb_relative_information_score: 565183.2407, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.828, predictive_accuracy: 0.8297, prior_entropy: 1, recall: 0.8297, relative_absolute_error: 0.4555, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.6832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6969, f_measure: 0.5284, kappa: -0, kb_relative_information_score: 267192.6265, mean_absolute_error: 0.3681, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5236, predictive_accuracy: 0.6628, prior_entropy: 1, recall: 0.6628, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.429, root_relative_squared_error: 0.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.631, f_measure: 0.6999, kappa: 0.3187, kb_relative_information_score: 291587.7658, mean_absolute_error: 0.3737, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7794, predictive_accuracy: 0.7458, prior_entropy: 1, recall: 0.7458, relative_absolute_error: 0.7473, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5284, kb_relative_information_score: 325554, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.4393, predictive_accuracy: 0.6628, prior_entropy: 1, recall: 0.6628, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5807, root_relative_squared_error: 1.1614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5284, kb_relative_information_score: 325554, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.4393, predictive_accuracy: 0.6628, prior_entropy: 1, recall: 0.6628, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5807, root_relative_squared_error: 1.1614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5569, f_measure: 0.6021, kappa: 0.113, kb_relative_information_score: 201472, mean_absolute_error: 0.3993, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6035, predictive_accuracy: 0.6007, prior_entropy: 1, ram_hours: 0, recall: 0.6007, relative_absolute_error: 0.7985, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6319, root_relative_squared_error: 1.2637, run_cpu_time: 8.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5284, kb_relative_information_score: 131447.016, mean_absolute_error: 0.4474, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.4393, predictive_accuracy: 0.6628, prior_entropy: 1, ram_hours: 0, recall: 0.6628, relative_absolute_error: 0.8948, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9456, run_cpu_time: 9.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.7922, kappa: 0.5331, kb_relative_information_score: 513464.6788, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7915, predictive_accuracy: 0.7931, prior_entropy: 1, ram_hours: 0, recall: 0.7931, relative_absolute_error: 0.5033, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7536, run_cpu_time: 12.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.5284, kappa: -0, kb_relative_information_score: 132106.4423, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5236, predictive_accuracy: 0.6628, prior_entropy: 1, ram_hours: 0, recall: 0.6628, relative_absolute_error: 0.8943, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9455, run_cpu_time: 9.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7005, f_measure: 0.6825, kappa: 0.286, kb_relative_information_score: 247723.8458, mean_absolute_error: 0.3873, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.681, predictive_accuracy: 0.6843, prior_entropy: 1, ram_hours: 0.212, recall: 0.6843, relative_absolute_error: 0.7745, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4566, root_relative_squared_error: 0.9132, run_cpu_time: 5976.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7617, kappa: 0.4554, kb_relative_information_score: 423620.8156, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7636, predictive_accuracy: 0.7702, prior_entropy: 1, ram_hours: 0.6163, recall: 0.7702, relative_absolute_error: 0.6025, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.7951, run_cpu_time: 1951.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7645, f_measure: 0.7913, kappa: 0.5317, kb_relative_information_score: 583488, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7907, predictive_accuracy: 0.7919, prior_entropy: 1, ram_hours: 0, recall: 0.7919, relative_absolute_error: 0.4165, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9122, run_cpu_time: 21.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.7233, kappa: 0.3774, kb_relative_information_score: 238704.6449, mean_absolute_error: 0.3965, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7219, predictive_accuracy: 0.7251, prior_entropy: 1, ram_hours: 1.0378, recall: 0.7251, relative_absolute_error: 0.7929, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.438, root_relative_squared_error: 0.8761, run_cpu_time: 2582.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, f_measure: 0.6799, kappa: 0.2648, kb_relative_information_score: 267059.4013, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6808, predictive_accuracy: 0.6981, prior_entropy: 1, ram_hours: 0.0052, recall: 0.6981, relative_absolute_error: 0.7579, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9023, run_cpu_time: 631.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.631, f_measure: 0.6999, kappa: 0.3187, kb_relative_information_score: 291587.7658, mean_absolute_error: 0.3737, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7794, predictive_accuracy: 0.7458, prior_entropy: 1, ram_hours: 0, recall: 0.7458, relative_absolute_error: 0.7473, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8672, run_cpu_time: 9.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7468, f_measure: 0.7342, kappa: 0.3931, kb_relative_information_score: 413802.248, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.734, predictive_accuracy: 0.743, prior_entropy: 1, ram_hours: 0.0012, recall: 0.743, relative_absolute_error: 0.6021, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.8912, run_cpu_time: 121.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5284, kb_relative_information_score: 325554, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.4393, predictive_accuracy: 0.6628, prior_entropy: 1, ram_hours: 0, recall: 0.6628, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5807, root_relative_squared_error: 1.1614, run_cpu_time: 8.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5284, kb_relative_information_score: 325230, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.4393, predictive_accuracy: 0.6628, prior_entropy: 1, ram_hours: 0.0034, recall: 0.6628, relative_absolute_error: 0.6748, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5806, root_relative_squared_error: 1.1613, run_cpu_time: 81.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5476, f_measure: 0.6102, kappa: 0.1042, kb_relative_information_score: 269202, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.604, predictive_accuracy: 0.6348, prior_entropy: 1, ram_hours: 0, recall: 0.6348, relative_absolute_error: 0.7308, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6043, root_relative_squared_error: 1.2086, run_cpu_time: 11.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5894, f_measure: 0.5893, kappa: 0.0827, kb_relative_information_score: 161479.422, mean_absolute_error: 0.4322, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6344, predictive_accuracy: 0.6695, prior_entropy: 1, ram_hours: 0, recall: 0.6695, relative_absolute_error: 0.8645, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.9322, run_cpu_time: 36.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.7588, kappa: 0.4522, kb_relative_information_score: 430803.0963, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7577, predictive_accuracy: 0.7638, prior_entropy: 1, ram_hours: 0.0002, recall: 0.7638, relative_absolute_error: 0.5873, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.8028, run_cpu_time: 32.04,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7831, kappa: 0.5085, kb_relative_information_score: 507641.6161, mean_absolute_error: 0.2537, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7822, predictive_accuracy: 0.7866, prior_entropy: 1, ram_hours: 0.0019, recall: 0.7866, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.397, root_relative_squared_error: 0.794, run_cpu_time: 116.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.5522, kappa: -0.0018, kb_relative_information_score: 104400, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5522, predictive_accuracy: 0.5522, prior_entropy: 1, ram_hours: 0, recall: 0.5522, relative_absolute_error: 0.8956, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6692, root_relative_squared_error: 1.3384, run_cpu_time: 11.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.6795, kappa: 0.2742, kb_relative_information_score: 353772.6891, mean_absolute_error: 0.3361, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7574, predictive_accuracy: 0.731, prior_entropy: 1, ram_hours: 0.0023, recall: 0.731, relative_absolute_error: 0.6723, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8232, run_cpu_time: 12566.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.652, f_measure: 0.6925, kappa: 0.3079, kb_relative_information_score: 389142, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6908, predictive_accuracy: 0.6946, prior_entropy: 1, ram_hours: 0, recall: 0.6946, relative_absolute_error: 0.6109, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5527, root_relative_squared_error: 1.1053, run_cpu_time: 8.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.6753, kappa: 0.2658, kb_relative_information_score: 353734.9491, mean_absolute_error: 0.3361, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7572, predictive_accuracy: 0.7289, prior_entropy: 1, ram_hours: 0, recall: 0.7289, relative_absolute_error: 0.6723, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8233, run_cpu_time: 574.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7831, kappa: 0.5085, kb_relative_information_score: 507641.6161, mean_absolute_error: 0.2537, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7822, predictive_accuracy: 0.7866, prior_entropy: 1, ram_hours: 0.0014, recall: 0.7866, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.397, root_relative_squared_error: 0.794, run_cpu_time: 83.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.8287, kappa: 0.6144, kb_relative_information_score: 566410.3234, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8281, predictive_accuracy: 0.8298, prior_entropy: 1, ram_hours: 0, recall: 0.8298, relative_absolute_error: 0.4541, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.6829, run_cpu_time: 12.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6109, f_measure: 0.6317, kappa: 0.1646, kb_relative_information_score: 235764.0016, mean_absolute_error: 0.3869, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6273, predictive_accuracy: 0.6386, prior_entropy: 1, ram_hours: 0.015, recall: 0.6386, relative_absolute_error: 0.7737, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5181, root_relative_squared_error: 1.0361, run_cpu_time: 2212.33,

    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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