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Function: require_once

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

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

Task 125 Supervised Data Stream Classification BNG(autos,nominal,1000000) 44 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
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44 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.6877, kappa: 0.6048, kb_relative_information_score: 306801.3544, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6996, predictive_accuracy: 0.7036, prior_entropy: 2.8074, recall: 0.7036, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.8921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.725, kappa: 0.649, kb_relative_information_score: 301899.77, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.7252, predictive_accuracy: 0.7314, prior_entropy: 2.8074, recall: 0.7314, relative_absolute_error: 0.8643, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, f_measure: 0.0006, kb_relative_information_score: -61183.418, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.0003, predictive_accuracy: 0.0167, prior_entropy: 2.8074, recall: 0.0167, relative_absolute_error: 1.1472, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.5289, root_relative_squared_error: 1.5113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.6871, kappa: 0.5975, kb_relative_information_score: 660892.501, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6898, predictive_accuracy: 0.6877, prior_entropy: 2.8074, recall: 0.6877, relative_absolute_error: 0.4309, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2515, root_relative_squared_error: 0.7187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0, kb_relative_information_score: -76595.2796, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0, predictive_accuracy: 0.0024, prior_entropy: 2.8074, recall: 0.0024, relative_absolute_error: 1.1638, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.5339, root_relative_squared_error: 1.5257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0006, kb_relative_information_score: -61154.9109, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.0003, predictive_accuracy: 0.0167, prior_entropy: 2.8074, recall: 0.0167, relative_absolute_error: 1.1471, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.53, root_relative_squared_error: 1.5147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.7336, kappa: 0.6607, kb_relative_information_score: 659679.7947, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.7381, predictive_accuracy: 0.7423, prior_entropy: 2.8074, recall: 0.7423, relative_absolute_error: 0.475, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.6586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0006, kb_relative_information_score: -61154.9109, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.0003, predictive_accuracy: 0.0167, prior_entropy: 2.8074, recall: 0.0167, relative_absolute_error: 1.1471, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.53, root_relative_squared_error: 1.5147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.7271, kappa: 0.6541, kb_relative_information_score: 657901.695, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.7257, predictive_accuracy: 0.7354, prior_entropy: 2.8074, recall: 0.7354, relative_absolute_error: 0.4699, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.6646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.3285, kappa: 0.2129, kb_relative_information_score: 370777.2501, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.2601, predictive_accuracy: 0.4459, prior_entropy: 2.8074, recall: 0.4459, relative_absolute_error: 0.7909, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.8953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6622, f_measure: 0.4254, kappa: 0.2613, kb_relative_information_score: 429840.6615, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.4354, predictive_accuracy: 0.4552, prior_entropy: 2.8074, recall: 0.4552, relative_absolute_error: 0.64, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3738, root_relative_squared_error: 1.0684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.6912, kappa: 0.6072, kb_relative_information_score: 610189.2569, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6885, predictive_accuracy: 0.7007, prior_entropy: 2.8074, recall: 0.7007, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2459, root_relative_squared_error: 0.7028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6222, f_measure: 0.3178, kappa: 0.1711, kb_relative_information_score: 217267.8073, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.4619, predictive_accuracy: 0.2719, prior_entropy: 2.8074, recall: 0.2719, relative_absolute_error: 0.8496, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4509, root_relative_squared_error: 1.2887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, f_measure: 0.603, kappa: 0.4866, kb_relative_information_score: 522864.7811, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6183, predictive_accuracy: 0.6118, prior_entropy: 2.8074, recall: 0.6118, relative_absolute_error: 0.5718, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.6885, kappa: 0.5986, kb_relative_information_score: 660893.9764, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6926, predictive_accuracy: 0.6881, prior_entropy: 2.8074, recall: 0.6881, relative_absolute_error: 0.4302, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.7189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6996, f_measure: 0.3286, kappa: 0.213, kb_relative_information_score: 365423.716, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.4169, predictive_accuracy: 0.4462, prior_entropy: 2.8074, recall: 0.4462, relative_absolute_error: 0.7991, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.8939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.7808, kappa: 0.7166, kb_relative_information_score: 748593.4281, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.7814, predictive_accuracy: 0.7805, prior_entropy: 2.8074, recall: 0.7805, relative_absolute_error: 0.3268, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.6104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0, kb_relative_information_score: -76595.2796, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0, predictive_accuracy: 0.0024, prior_entropy: 2.8074, recall: 0.0024, relative_absolute_error: 1.1638, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.5339, root_relative_squared_error: 1.5257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.6256, kappa: 0.5199, kb_relative_information_score: 591485.0539, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.623, predictive_accuracy: 0.6298, prior_entropy: 2.8074, recall: 0.6298, relative_absolute_error: 0.4891, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2952, root_relative_squared_error: 0.8437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0, kb_relative_information_score: -76595.2796, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0, predictive_accuracy: 0.0024, prior_entropy: 2.8074, ram_hours: 0, recall: 0.0024, relative_absolute_error: 1.1638, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.5339, root_relative_squared_error: 1.5257, run_cpu_time: 11.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.6672, kappa: 0.573, kb_relative_information_score: 643249.8101, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6719, predictive_accuracy: 0.6668, prior_entropy: 2.8074, ram_hours: 0, recall: 0.6668, relative_absolute_error: 0.4446, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.7491, run_cpu_time: 35.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0, kb_relative_information_score: -76519.2995, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0, predictive_accuracy: 0.0024, prior_entropy: 2.8074, ram_hours: 0.0033, recall: 0.0024, relative_absolute_error: 1.1637, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.5337, root_relative_squared_error: 1.5252, run_cpu_time: 84.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0006, kb_relative_information_score: -61154.9109, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.0003, predictive_accuracy: 0.0167, prior_entropy: 2.8074, ram_hours: 0, recall: 0.0167, relative_absolute_error: 1.1471, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.53, root_relative_squared_error: 1.5147, run_cpu_time: 10.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.7982, kappa: 0.7396, kb_relative_information_score: 744694.5129, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.7984, predictive_accuracy: 0.7985, prior_entropy: 2.8074, ram_hours: 0.0006, recall: 0.7985, relative_absolute_error: 0.3598, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.201, root_relative_squared_error: 0.5743, run_cpu_time: 170.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.7945, kappa: 0.7353, kb_relative_information_score: 758709.9739, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.7943, predictive_accuracy: 0.7952, prior_entropy: 2.8074, ram_hours: 0.0008, recall: 0.7952, relative_absolute_error: 0.3232, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.5807, run_cpu_time: 181.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.8009, kappa: 0.7437, kb_relative_information_score: 719407.8553, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8002, predictive_accuracy: 0.8022, prior_entropy: 2.8074, ram_hours: 0.0083, recall: 0.8022, relative_absolute_error: 0.408, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.5893, run_cpu_time: 337.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2264, kappa: -0.0002, kb_relative_information_score: 165155.9781, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.2264, predictive_accuracy: 0.2264, prior_entropy: 2.8074, ram_hours: 0, recall: 0.2264, relative_absolute_error: 0.9025, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4701, root_relative_squared_error: 1.3435, run_cpu_time: 12.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7611, f_measure: 0.5251, kappa: 0.3919, kb_relative_information_score: 454912.0341, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.5275, predictive_accuracy: 0.5418, prior_entropy: 2.8074, ram_hours: 0, recall: 0.5418, relative_absolute_error: 0.6722, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.8721, run_cpu_time: 13.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0, kb_relative_information_score: -76595.2796, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0, predictive_accuracy: 0.0024, prior_entropy: 2.8074, ram_hours: 0, recall: 0.0024, relative_absolute_error: 1.1638, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.5339, root_relative_squared_error: 1.5257, run_cpu_time: 15.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.7955, kappa: 0.7366, kb_relative_information_score: 757587.0015, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.7952, predictive_accuracy: 0.7963, prior_entropy: 2.8074, ram_hours: 0.001, recall: 0.7963, relative_absolute_error: 0.3261, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.5795, run_cpu_time: 232.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.6851, kappa: 0.5927, kb_relative_information_score: 301761.9044, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6858, predictive_accuracy: 0.6849, prior_entropy: 2.8074, ram_hours: 0, recall: 0.6849, relative_absolute_error: 0.8633, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.8935, run_cpu_time: 30.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.635, kappa: 0.5341, kb_relative_information_score: 578771.6671, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6348, predictive_accuracy: 0.644, prior_entropy: 2.8074, ram_hours: 0, recall: 0.644, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.7506, run_cpu_time: 22.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6218, f_measure: 0.4152, kappa: 0.25, kb_relative_information_score: 407528.221, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.4379, predictive_accuracy: 0.4509, prior_entropy: 2.8074, ram_hours: 0, recall: 0.4509, relative_absolute_error: 0.6404, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3959, root_relative_squared_error: 1.1313, run_cpu_time: 16.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7264, f_measure: 0.4392, kappa: 0.2759, kb_relative_information_score: 363102.7999, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.4663, predictive_accuracy: 0.4628, prior_entropy: 2.8074, ram_hours: 0, recall: 0.4628, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.881, run_cpu_time: 54.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.7827, kappa: 0.7192, kb_relative_information_score: 752259.765, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.7831, predictive_accuracy: 0.7826, prior_entropy: 2.8074, ram_hours: 0, recall: 0.7826, relative_absolute_error: 0.3202, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.6095, run_cpu_time: 57.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.158, kappa: -0, kb_relative_information_score: 219223.8735, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.1263, predictive_accuracy: 0.3233, prior_entropy: 2.8074, ram_hours: 0, recall: 0.3233, relative_absolute_error: 0.9024, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.9499, run_cpu_time: 17.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.6256, kappa: 0.5199, kb_relative_information_score: 591485.0539, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.623, predictive_accuracy: 0.6298, prior_entropy: 2.8074, ram_hours: 0, recall: 0.6298, relative_absolute_error: 0.4891, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2952, root_relative_squared_error: 0.8437, run_cpu_time: 13.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.7839, kappa: 0.7204, kb_relative_information_score: 754788.5474, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.7848, predictive_accuracy: 0.7834, prior_entropy: 2.8074, ram_hours: 0, recall: 0.7834, relative_absolute_error: 0.3174, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.212, root_relative_squared_error: 0.6059, run_cpu_time: 40.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.6886, kappa: 0.5987, kb_relative_information_score: 661974.5571, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6927, predictive_accuracy: 0.6882, prior_entropy: 2.8074, ram_hours: 0, recall: 0.6882, relative_absolute_error: 0.4284, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.719, run_cpu_time: 29.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.632, kappa: 0.5358, kb_relative_information_score: 590563.0737, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6711, predictive_accuracy: 0.6569, prior_entropy: 2.8074, ram_hours: 0.002, recall: 0.6569, relative_absolute_error: 0.5555, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2576, root_relative_squared_error: 0.7361, run_cpu_time: 11584.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0006, kb_relative_information_score: -61154.9109, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.0003, predictive_accuracy: 0.0167, prior_entropy: 2.8074, ram_hours: 0, recall: 0.0167, relative_absolute_error: 1.1471, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.53, root_relative_squared_error: 1.5147, run_cpu_time: 10.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.7534, kappa: 0.6838, kb_relative_information_score: 716940.939, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.7512, predictive_accuracy: 0.7567, prior_entropy: 2.8074, ram_hours: 0.0002, recall: 0.7567, relative_absolute_error: 0.3714, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.223, root_relative_squared_error: 0.6373, run_cpu_time: 292.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.6313, kappa: 0.5347, kb_relative_information_score: 590521.2433, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6707, predictive_accuracy: 0.6562, prior_entropy: 2.8074, ram_hours: 0, recall: 0.6562, relative_absolute_error: 0.5555, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2576, root_relative_squared_error: 0.7363, run_cpu_time: 539.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.7839, kappa: 0.7204, kb_relative_information_score: 754788.5474, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.7848, predictive_accuracy: 0.7834, prior_entropy: 2.8074, ram_hours: 0, recall: 0.7834, relative_absolute_error: 0.3174, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.212, root_relative_squared_error: 0.6059, run_cpu_time: 38.73,

    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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