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

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

Task 181 Supervised Data Stream Classification BNG(hepatitis,nominal,1000000) 46 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9271, kappa: 0.7761, kb_relative_information_score: 792915.6663, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9268, predictive_accuracy: 0.9284, prior_entropy: 1, recall: 0.9284, relative_absolute_error: 0.2242, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.4616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8789, kappa: 0.6146, kb_relative_information_score: 646913.5747, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8827, predictive_accuracy: 0.8869, prior_entropy: 1, recall: 0.8869, relative_absolute_error: 0.3839, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.5781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.8979, kappa: 0.6778, kb_relative_information_score: 802797.6932, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9003, predictive_accuracy: 0.9031, prior_entropy: 1, recall: 0.9031, relative_absolute_error: 0.198, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.5882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.9053, kappa: 0.7065, kb_relative_information_score: 808595.7173, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9049, predictive_accuracy: 0.9078, prior_entropy: 1, recall: 0.9078, relative_absolute_error: 0.193, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2801, root_relative_squared_error: 0.5603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.9129, kappa: 0.7299, kb_relative_information_score: 743790.5329, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9128, predictive_accuracy: 0.9153, prior_entropy: 1, recall: 0.9153, relative_absolute_error: 0.2801, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.5048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.8887, kappa: 0.669, kb_relative_information_score: 739784.4051, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8912, predictive_accuracy: 0.887, prior_entropy: 1, recall: 0.887, relative_absolute_error: 0.269, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.5819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.9053, kappa: 0.707, kb_relative_information_score: 750525.3472, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9048, predictive_accuracy: 0.9076, prior_entropy: 1, recall: 0.9076, relative_absolute_error: 0.2661, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2602, root_relative_squared_error: 0.5204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0722, kb_relative_information_score: -582096, mean_absolute_error: 0.791, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.0437, predictive_accuracy: 0.209, prior_entropy: 1, recall: 0.209, relative_absolute_error: 1.5821, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.8894, root_relative_squared_error: 1.7788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.8898, kappa: 0.6519, kb_relative_information_score: 791502.3153, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.892, predictive_accuracy: 0.8957, prior_entropy: 1, recall: 0.8957, relative_absolute_error: 0.2085, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.8762, kappa: 0.6237, kb_relative_information_score: 740214.3594, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8757, predictive_accuracy: 0.8767, prior_entropy: 1, recall: 0.8767, relative_absolute_error: 0.2636, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.6386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.9108, kappa: 0.7242, kb_relative_information_score: 745346.271, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9105, predictive_accuracy: 0.913, prior_entropy: 1, recall: 0.913, relative_absolute_error: 0.2753, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2567, root_relative_squared_error: 0.5133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7177, f_measure: 0.824, kappa: 0.436, kb_relative_information_score: 514923.5605, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8236, predictive_accuracy: 0.8377, prior_entropy: 1, recall: 0.8377, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6883, f_measure: 0.8228, kappa: 0.4323, kb_relative_information_score: 673098, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8222, predictive_accuracy: 0.8365, prior_entropy: 1, recall: 0.8365, relative_absolute_error: 0.3269, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.9058, kappa: 0.7073, kb_relative_information_score: 728061.8762, mean_absolute_error: 0.1473, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9057, predictive_accuracy: 0.9087, prior_entropy: 1, recall: 0.9087, relative_absolute_error: 0.2946, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.5219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.8979, kappa: 0.6847, kb_relative_information_score: 790853.5752, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8971, predictive_accuracy: 0.9002, prior_entropy: 1, recall: 0.9002, relative_absolute_error: 0.2117, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.289, root_relative_squared_error: 0.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.8799, kappa: 0.6486, kb_relative_information_score: 698514.7952, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8862, predictive_accuracy: 0.8763, prior_entropy: 1, recall: 0.8763, relative_absolute_error: 0.3183, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.6329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.8389, kappa: 0.5373, kb_relative_information_score: 621428.7444, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8513, predictive_accuracy: 0.8321, prior_entropy: 1, recall: 0.8321, relative_absolute_error: 0.3894, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3553, root_relative_squared_error: 0.7106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.8246, kappa: 0.4382, kb_relative_information_score: 516236.5764, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8244, predictive_accuracy: 0.8383, prior_entropy: 1, recall: 0.8383, relative_absolute_error: 0.5263, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.7248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.9228, kappa: 0.7619, kb_relative_information_score: 789875.1096, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9227, predictive_accuracy: 0.9245, prior_entropy: 1, recall: 0.9245, relative_absolute_error: 0.2265, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2416, root_relative_squared_error: 0.4833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0722, kb_relative_information_score: -582096, mean_absolute_error: 0.791, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.0437, predictive_accuracy: 0.209, prior_entropy: 1, recall: 0.209, relative_absolute_error: 1.5821, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.8894, root_relative_squared_error: 1.7788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.8635, kappa: 0.5901, kb_relative_information_score: 694598.9309, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8646, predictive_accuracy: 0.8625, prior_entropy: 1, recall: 0.8625, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.8886, kappa: 0.6672, kb_relative_information_score: 742772.0411, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8903, predictive_accuracy: 0.8873, prior_entropy: 1, ram_hours: 0, recall: 0.8873, relative_absolute_error: 0.2657, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.5792, run_cpu_time: 10.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, f_measure: 0.8537, kappa: 0.534, kb_relative_information_score: 635270.0717, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8552, predictive_accuracy: 0.8637, prior_entropy: 1, ram_hours: 0, recall: 0.8637, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.6634, run_cpu_time: 8.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.691, f_measure: 0.8243, kappa: 0.4373, kb_relative_information_score: 676018, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8237, predictive_accuracy: 0.8377, prior_entropy: 1, ram_hours: 0, recall: 0.8377, relative_absolute_error: 0.324, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8043, run_cpu_time: 6.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.8358, kappa: 0.4932, kb_relative_information_score: 583652.8269, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8334, predictive_accuracy: 0.8395, prior_entropy: 1, ram_hours: 0, recall: 0.8395, relative_absolute_error: 0.4404, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.335, root_relative_squared_error: 0.6701, run_cpu_time: 63.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.925, kappa: 0.7707, kb_relative_information_score: 523851.0461, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9246, predictive_accuracy: 0.9259, prior_entropy: 1, ram_hours: 0.0005, recall: 0.9259, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3047, root_relative_squared_error: 0.6095, run_cpu_time: 113.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.6694, kappa: -0.0001, kb_relative_information_score: 338762, mean_absolute_error: 0.3306, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6694, predictive_accuracy: 0.6694, prior_entropy: 1, ram_hours: 0, recall: 0.6694, relative_absolute_error: 0.6612, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.575, root_relative_squared_error: 1.15, run_cpu_time: 7.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9268, kappa: 0.7748, kb_relative_information_score: 791882.6056, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9264, predictive_accuracy: 0.928, prior_entropy: 1, ram_hours: 0.0004, recall: 0.928, relative_absolute_error: 0.2253, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.4628, run_cpu_time: 129.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.8901, kappa: 0.6607, kb_relative_information_score: 712315.1372, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8891, predictive_accuracy: 0.8926, prior_entropy: 1, ram_hours: 0, recall: 0.8926, relative_absolute_error: 0.3055, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2788, root_relative_squared_error: 0.5576, run_cpu_time: 10.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0722, kb_relative_information_score: -582096, mean_absolute_error: 0.791, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.0437, predictive_accuracy: 0.209, prior_entropy: 1, ram_hours: 0, recall: 0.209, relative_absolute_error: 1.5821, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.8894, root_relative_squared_error: 1.7788, run_cpu_time: 6.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.8635, kappa: 0.5901, kb_relative_information_score: 694598.9309, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8646, predictive_accuracy: 0.8625, prior_entropy: 1, ram_hours: 0, recall: 0.8625, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6657, run_cpu_time: 8.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9216, kappa: 0.7593, kb_relative_information_score: 790500.9976, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9211, predictive_accuracy: 0.9228, prior_entropy: 1, ram_hours: 0, recall: 0.9228, relative_absolute_error: 0.2239, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2419, root_relative_squared_error: 0.4838, run_cpu_time: 17.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0722, kb_relative_information_score: -581520, mean_absolute_error: 0.7908, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.0437, predictive_accuracy: 0.209, prior_entropy: 1, ram_hours: 0.0022, recall: 0.209, relative_absolute_error: 1.5815, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.8891, root_relative_squared_error: 1.7782, run_cpu_time: 64.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9268, kappa: 0.7748, kb_relative_information_score: 791882.6056, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9264, predictive_accuracy: 0.928, prior_entropy: 1, ram_hours: 0.0003, recall: 0.928, relative_absolute_error: 0.2253, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.4628, run_cpu_time: 93.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.6988, kappa: -0, kb_relative_information_score: 384385.1126, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6258, predictive_accuracy: 0.791, prior_entropy: 1, ram_hours: 0, recall: 0.791, relative_absolute_error: 0.6621, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8131, run_cpu_time: 9.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0722, kb_relative_information_score: -582096, mean_absolute_error: 0.791, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.0437, predictive_accuracy: 0.209, prior_entropy: 1, ram_hours: 0, recall: 0.209, relative_absolute_error: 1.5821, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.8894, root_relative_squared_error: 1.7788, run_cpu_time: 9.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.8972, kappa: 0.6836, kb_relative_information_score: 798862, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8963, predictive_accuracy: 0.8991, prior_entropy: 1, ram_hours: 0, recall: 0.8991, relative_absolute_error: 0.2011, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6335, run_cpu_time: 9.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.907, kappa: 0.7169, kb_relative_information_score: 606519.7731, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9065, predictive_accuracy: 0.9077, prior_entropy: 1, ram_hours: 0.0239, recall: 0.9077, relative_absolute_error: 0.4387, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.5708, run_cpu_time: 709.31,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9223, kappa: 0.7616, kb_relative_information_score: 792974.0943, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9218, predictive_accuracy: 0.9234, prior_entropy: 1, ram_hours: 0, recall: 0.9234, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.483, run_cpu_time: 50.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.8765, kappa: 0.6018, kb_relative_information_score: 704108.2899, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8876, predictive_accuracy: 0.8878, prior_entropy: 1, ram_hours: 0.001, recall: 0.8878, relative_absolute_error: 0.3121, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.5702, run_cpu_time: 6197.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.93, kappa: 0.785, kb_relative_information_score: 803451.8913, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9298, predictive_accuracy: 0.9312, prior_entropy: 1, ram_hours: 0.005, recall: 0.9312, relative_absolute_error: 0.212, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.4536, run_cpu_time: 268.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.8887, kappa: 0.6689, kb_relative_information_score: 739762.5951, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8912, predictive_accuracy: 0.887, prior_entropy: 1, ram_hours: 0, recall: 0.887, relative_absolute_error: 0.269, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.291, root_relative_squared_error: 0.5819, run_cpu_time: 10.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.8776, kappa: 0.6055, kb_relative_information_score: 704105.2881, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.888, predictive_accuracy: 0.8884, prior_entropy: 1, ram_hours: 0, recall: 0.8884, relative_absolute_error: 0.3121, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2852, root_relative_squared_error: 0.5703, run_cpu_time: 408.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9216, kappa: 0.7593, kb_relative_information_score: 790500.9976, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9211, predictive_accuracy: 0.9228, prior_entropy: 1, ram_hours: 0, recall: 0.9228, relative_absolute_error: 0.2239, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2419, root_relative_squared_error: 0.4838, run_cpu_time: 13.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.8899, kappa: 0.6521, kb_relative_information_score: 791580, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.892, predictive_accuracy: 0.8958, prior_entropy: 1, ram_hours: 0, recall: 0.8958, relative_absolute_error: 0.2084, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.6456, run_cpu_time: 7.12,

    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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