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OpenML
Task
Supervised Data Stream Classification on BNG(kr-vs-kp)

Supervised Data Stream Classification on BNG(kr-vs-kp)

Task 122 Supervised Data Stream Classification BNG(kr-vs-kp) 303 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • binstreams ecmlpkdd2015 streamensembles streams streams-full study_11 study_16
Issue #Downvotes for this reason By


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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.924, kappa: 0.8477, kb_relative_information_score: 836904.2503, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9241, predictive_accuracy: 0.9239, prior_entropy: 1, recall: 0.9239, relative_absolute_error: 0.1658, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2517, root_relative_squared_error: 0.5034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9446, kappa: 0.8892, kb_relative_information_score: 834738.6502, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9451, predictive_accuracy: 0.9446, prior_entropy: 1, recall: 0.9446, relative_absolute_error: 0.1799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.21, root_relative_squared_error: 0.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.9368, kappa: 0.8735, kb_relative_information_score: 864584.5133, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9373, predictive_accuracy: 0.9368, prior_entropy: 1, recall: 0.9368, relative_absolute_error: 0.1374, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.236, root_relative_squared_error: 0.4721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.8883, kappa: 0.776, kb_relative_information_score: 476983.4348, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8891, predictive_accuracy: 0.8885, prior_entropy: 1, recall: 0.8885, relative_absolute_error: 0.5718, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.6705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.851, kappa: 0.7013, kb_relative_information_score: 556825.5468, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.851, predictive_accuracy: 0.8511, prior_entropy: 1, recall: 0.8511, relative_absolute_error: 0.4731, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.6648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9366, kappa: 0.873, kb_relative_information_score: 793300.4801, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9369, predictive_accuracy: 0.9365, prior_entropy: 1, recall: 0.9365, relative_absolute_error: 0.2259, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.232, root_relative_squared_error: 0.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3579, kb_relative_information_score: 43750, mean_absolute_error: 0.4781, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.2724, predictive_accuracy: 0.5219, prior_entropy: 1, recall: 0.5219, relative_absolute_error: 0.9563, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6915, root_relative_squared_error: 1.3829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.8952, kappa: 0.7899, kb_relative_information_score: 790885.5755, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8964, predictive_accuracy: 0.8954, prior_entropy: 1, recall: 0.8954, relative_absolute_error: 0.2091, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.6463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.8676, kappa: 0.7345, kb_relative_information_score: 652657.4048, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8679, predictive_accuracy: 0.8677, prior_entropy: 1, recall: 0.8677, relative_absolute_error: 0.3656, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.6512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9433, kappa: 0.8866, kb_relative_information_score: 829527.4627, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9444, predictive_accuracy: 0.9433, prior_entropy: 1, recall: 0.9433, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.4264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9452, kappa: 0.8904, kb_relative_information_score: 845807.2834, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9458, predictive_accuracy: 0.9452, prior_entropy: 1, recall: 0.9452, relative_absolute_error: 0.1676, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6723, f_measure: 0.6211, kappa: 0.3303, kb_relative_information_score: 199008.8699, mean_absolute_error: 0.4058, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7803, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.8116, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.9013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6659, f_measure: 0.6671, kappa: 0.3338, kb_relative_information_score: 338732, mean_absolute_error: 0.3306, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6703, predictive_accuracy: 0.6694, prior_entropy: 1, recall: 0.6694, relative_absolute_error: 0.6613, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.575, root_relative_squared_error: 1.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9427, kappa: 0.8852, kb_relative_information_score: 831743.1284, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9432, predictive_accuracy: 0.9426, prior_entropy: 1, recall: 0.9426, relative_absolute_error: 0.185, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.216, root_relative_squared_error: 0.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9361, kappa: 0.8722, kb_relative_information_score: 864188.2514, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9368, predictive_accuracy: 0.9361, prior_entropy: 1, recall: 0.9361, relative_absolute_error: 0.1379, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.241, root_relative_squared_error: 0.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.9242, kappa: 0.8486, kb_relative_information_score: 794049.1649, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9264, predictive_accuracy: 0.9242, prior_entropy: 1, recall: 0.9242, relative_absolute_error: 0.2233, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2538, root_relative_squared_error: 0.5076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.8505, kappa: 0.7004, kb_relative_information_score: 554884.4267, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8506, predictive_accuracy: 0.8506, prior_entropy: 1, recall: 0.8506, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6678, f_measure: 0.6199, kappa: 0.3294, kb_relative_information_score: 198475.7101, mean_absolute_error: 0.406, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7823, predictive_accuracy: 0.6556, prior_entropy: 1, recall: 0.6556, relative_absolute_error: 0.812, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.9011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9509, kappa: 0.9017, kb_relative_information_score: 862523.7675, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9517, predictive_accuracy: 0.9509, prior_entropy: 1, recall: 0.9509, relative_absolute_error: 0.149, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.4016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3579, kb_relative_information_score: 43750, mean_absolute_error: 0.4781, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.2724, predictive_accuracy: 0.5219, prior_entropy: 1, recall: 0.5219, relative_absolute_error: 0.9563, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6915, root_relative_squared_error: 1.3829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9355, kappa: 0.8708, kb_relative_information_score: 824862.1781, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9357, predictive_accuracy: 0.9354, prior_entropy: 1, recall: 0.9354, relative_absolute_error: 0.1901, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2419, root_relative_squared_error: 0.4838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9524, kappa: 0.9048, kb_relative_information_score: 862820.424, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9532, predictive_accuracy: 0.9524, prior_entropy: 1, ram_hours: 0.0007, recall: 0.9524, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.3892, run_cpu_time: 132.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.9328, kappa: 0.8656, kb_relative_information_score: 811599.9112, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9337, predictive_accuracy: 0.9328, prior_entropy: 1, ram_hours: 0, recall: 0.9328, relative_absolute_error: 0.2048, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.4894, run_cpu_time: 9.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3579, kb_relative_information_score: 43710, mean_absolute_error: 0.4781, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.2724, predictive_accuracy: 0.5219, prior_entropy: 1, ram_hours: 0.0042, recall: 0.5219, relative_absolute_error: 0.9563, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6913, root_relative_squared_error: 1.3826, run_cpu_time: 83.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9368, kappa: 0.8733, kb_relative_information_score: 640392.0904, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9368, predictive_accuracy: 0.9368, prior_entropy: 1, ram_hours: 0.0143, recall: 0.9368, relative_absolute_error: 0.4089, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2598, root_relative_squared_error: 0.5196, run_cpu_time: 613.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9515, kappa: 0.9029, kb_relative_information_score: 603210.8129, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9517, predictive_accuracy: 0.9515, prior_entropy: 1, ram_hours: 0.0011, recall: 0.9515, relative_absolute_error: 0.4531, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.5371, run_cpu_time: 168.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9514, kappa: 0.9027, kb_relative_information_score: 865497.7252, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9521, predictive_accuracy: 0.9514, prior_entropy: 1, ram_hours: 0.0001, recall: 0.9514, relative_absolute_error: 0.1453, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.4003, run_cpu_time: 55.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.9194, kappa: 0.8385, kb_relative_information_score: 838696, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9195, predictive_accuracy: 0.9193, prior_entropy: 1, ram_hours: 0, recall: 0.9193, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.284, root_relative_squared_error: 0.568, run_cpu_time: 9.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.3579, kappa: -0, kb_relative_information_score: 2705.17, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.4698, predictive_accuracy: 0.5219, prior_entropy: 1, ram_hours: 0, recall: 0.5219, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.9991, run_cpu_time: 8.95,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.5005, kappa: -0.0009, kb_relative_information_score: 1048, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5005, predictive_accuracy: 0.5005, prior_entropy: 1, ram_hours: 0, recall: 0.5005, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7067, root_relative_squared_error: 1.4135, run_cpu_time: 8.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.666, f_measure: 0.6612, kappa: 0.3367, kb_relative_information_score: 347884, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6925, predictive_accuracy: 0.674, prior_entropy: 1, ram_hours: 0, recall: 0.674, relative_absolute_error: 0.6521, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5708, root_relative_squared_error: 1.1416, run_cpu_time: 8.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8788, kappa: 0.7571, kb_relative_information_score: 680609.6446, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8796, predictive_accuracy: 0.879, prior_entropy: 1, ram_hours: 0, recall: 0.879, relative_absolute_error: 0.3371, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.5862, run_cpu_time: 11.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8316, kappa: 0.6625, kb_relative_information_score: 532344.6205, mean_absolute_error: 0.2477, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8316, predictive_accuracy: 0.8316, prior_entropy: 1, ram_hours: 0, recall: 0.8316, relative_absolute_error: 0.4955, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.6926, run_cpu_time: 12.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.832, kappa: 0.6643, kb_relative_information_score: 438043.7118, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8342, predictive_accuracy: 0.832, prior_entropy: 1, ram_hours: 0, recall: 0.832, relative_absolute_error: 0.5935, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.7571, run_cpu_time: 70.69,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9355, kappa: 0.8708, kb_relative_information_score: 824862.1781, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9357, predictive_accuracy: 0.9354, prior_entropy: 1, ram_hours: 0, recall: 0.9354, relative_absolute_error: 0.1901, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2419, root_relative_squared_error: 0.4838, run_cpu_time: 10.19,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.9243, kappa: 0.8485, kb_relative_information_score: 848514, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9248, predictive_accuracy: 0.9243, prior_entropy: 1, ram_hours: 0, recall: 0.9243, relative_absolute_error: 0.1515, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.5495, run_cpu_time: 10.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.8603, kappa: 0.7201, kb_relative_information_score: 482759.3201, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8637, predictive_accuracy: 0.8609, prior_entropy: 1, ram_hours: 0.0022, recall: 0.8609, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6795, run_cpu_time: 11629.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8953, kappa: 0.7901, kb_relative_information_score: 790978, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8964, predictive_accuracy: 0.8955, prior_entropy: 1, ram_hours: 0, recall: 0.8955, relative_absolute_error: 0.209, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6466, run_cpu_time: 9.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.8584, kappa: 0.7164, kb_relative_information_score: 482704.5708, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8626, predictive_accuracy: 0.8592, prior_entropy: 1, ram_hours: 0.0001, recall: 0.8592, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.6797, run_cpu_time: 597.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9508, kappa: 0.9015, kb_relative_information_score: 863751.8433, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9515, predictive_accuracy: 0.9507, prior_entropy: 1, ram_hours: 0, recall: 0.9507, relative_absolute_error: 0.1471, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.201, root_relative_squared_error: 0.4021, run_cpu_time: 15.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8509, kappa: 0.7012, kb_relative_information_score: 556763.0082, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.851, predictive_accuracy: 0.851, prior_entropy: 1, ram_hours: 0, recall: 0.851, relative_absolute_error: 0.4731, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.6648, run_cpu_time: 11.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9567, kappa: 0.9133, kb_relative_information_score: 875144.2249, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9574, predictive_accuracy: 0.9567, prior_entropy: 1, ram_hours: 0.01, recall: 0.9567, relative_absolute_error: 0.1357, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.371, run_cpu_time: 384.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9567, kappa: 0.9133, kb_relative_information_score: 875144.2249, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9574, predictive_accuracy: 0.9567, prior_entropy: 1, ram_hours: 0.0097, recall: 0.9567, relative_absolute_error: 0.1357, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.371, run_cpu_time: 374.87,

    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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