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OpenML
Task
Supervised Data Stream Classification on LED(50000)

Supervised Data Stream Classification on LED(50000)

Task 192 Supervised Data Stream Classification LED(50000) 287 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • ecmlpkdd2015 streamensembles streams study_11 study_16
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287 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.7292, kappa: 0.6995, kb_relative_information_score: 706175.4436, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7291, predictive_accuracy: 0.7296, prior_entropy: 3.3219, recall: 0.7296, relative_absolute_error: 0.3919, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.6883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5294, f_measure: 0.0346, kappa: 0.01, kb_relative_information_score: 94127.6079, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.0832, predictive_accuracy: 0.109, prior_entropy: 3.3219, recall: 0.109, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3991, root_relative_squared_error: 1.3302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.7381, kappa: 0.7079, kb_relative_information_score: 267720.593, mean_absolute_error: 0.1627, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7397, predictive_accuracy: 0.7371, prior_entropy: 3.3219, recall: 0.7371, relative_absolute_error: 0.9038, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.9197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.7356, kappa: 0.7052, kb_relative_information_score: 672481.4136, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7371, predictive_accuracy: 0.7347, prior_entropy: 3.3219, recall: 0.7347, relative_absolute_error: 0.467, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.6672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.739, kappa: 0.7105, kb_relative_information_score: 706283.0687, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7393, predictive_accuracy: 0.7395, prior_entropy: 3.3219, recall: 0.7395, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.7361, kappa: 0.7075, kb_relative_information_score: 706077.9786, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7358, predictive_accuracy: 0.7368, prior_entropy: 3.3219, recall: 0.7368, relative_absolute_error: 0.4116, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.6471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0183, kb_relative_information_score: 59030.5473, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.01, predictive_accuracy: 0.1002, prior_entropy: 3.3219, recall: 0.1002, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4242, root_relative_squared_error: 1.4141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5108, f_measure: 0.0498, kappa: 0.0214, kb_relative_information_score: 78361.3439, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.0929, predictive_accuracy: 0.1192, prior_entropy: 3.3219, recall: 0.1192, relative_absolute_error: 0.98, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4197, root_relative_squared_error: 1.3989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5434, f_measure: 0.0932, kappa: 0.0777, kb_relative_information_score: 132682.4807, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.0875, predictive_accuracy: 0.1699, prior_entropy: 3.3219, recall: 0.1699, relative_absolute_error: 0.9245, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.7333, kappa: 0.7042, kb_relative_information_score: 685889.8111, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.733, predictive_accuracy: 0.7338, prior_entropy: 3.3219, recall: 0.7338, relative_absolute_error: 0.4453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.201, root_relative_squared_error: 0.6699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, f_measure: 0.2582, kappa: 0.1935, kb_relative_information_score: 219030.4061, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.2722, predictive_accuracy: 0.2743, prior_entropy: 3.3219, recall: 0.2743, relative_absolute_error: 0.9274, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2868, root_relative_squared_error: 0.9559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5822, f_measure: 0.1805, kappa: 0.0894, kb_relative_information_score: 142955.173, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.1828, predictive_accuracy: 0.1805, prior_entropy: 3.3219, recall: 0.1805, relative_absolute_error: 0.9106, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3991, root_relative_squared_error: 1.3304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.7363, kappa: 0.7067, kb_relative_information_score: 696708.4181, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7371, predictive_accuracy: 0.736, prior_entropy: 3.3219, recall: 0.736, relative_absolute_error: 0.4265, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.6529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.7326, kappa: 0.7035, kb_relative_information_score: 730643.3499, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7323, predictive_accuracy: 0.7331, prior_entropy: 3.3219, recall: 0.7331, relative_absolute_error: 0.3212, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.7124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7027, f_measure: 0.3637, kappa: 0.2923, kb_relative_information_score: 319050.4678, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.3707, predictive_accuracy: 0.3631, prior_entropy: 3.3219, recall: 0.3631, relative_absolute_error: 0.7521, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3182, root_relative_squared_error: 1.0607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.5355, kappa: 0.4886, kb_relative_information_score: 520802.7511, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.5356, predictive_accuracy: 0.5397, prior_entropy: 3.3219, recall: 0.5397, relative_absolute_error: 0.6174, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2428, root_relative_squared_error: 0.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.1061, kappa: 0.0796, kb_relative_information_score: 188952.338, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.1813, predictive_accuracy: 0.172, prior_entropy: 3.3219, recall: 0.172, relative_absolute_error: 0.9402, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.9736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.704, kappa: 0.6711, kb_relative_information_score: 650573.6697, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7045, predictive_accuracy: 0.704, prior_entropy: 3.3219, recall: 0.704, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.6987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0183, kb_relative_information_score: 59030.5473, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.01, predictive_accuracy: 0.1002, prior_entropy: 3.3219, recall: 0.1002, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4242, root_relative_squared_error: 1.4141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6688, f_measure: 0.3539, kappa: 0.2817, kb_relative_information_score: 324659.6654, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.3614, predictive_accuracy: 0.3536, prior_entropy: 3.3219, recall: 0.3536, relative_absolute_error: 0.7492, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3293, root_relative_squared_error: 1.0976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.7356, kappa: 0.7059, kb_relative_information_score: 691682.5264, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7365, predictive_accuracy: 0.7353, prior_entropy: 3.3219, recall: 0.7353, relative_absolute_error: 0.4254, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.197, root_relative_squared_error: 0.6567, run_cpu_time: 53.6541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.7356, kappa: 0.7059, kb_relative_information_score: 691682.5264, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7365, predictive_accuracy: 0.7353, prior_entropy: 3.3219, ram_hours: 0, recall: 0.7353, relative_absolute_error: 0.4254, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.197, root_relative_squared_error: 0.6567, run_cpu_time: 57.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.7395, kappa: 0.7103, kb_relative_information_score: 701212.5046, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7402, predictive_accuracy: 0.7392, prior_entropy: 3.3219, ram_hours: 0, recall: 0.7392, relative_absolute_error: 0.4217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.6431, run_cpu_time: 244.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.511, f_measure: 0.04, kappa: 0.022, kb_relative_information_score: 79511.4519, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.024, predictive_accuracy: 0.1199, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1199, relative_absolute_error: 0.978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4195, root_relative_squared_error: 1.3982, run_cpu_time: 10.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7359, f_measure: 0.3715, kappa: 0.2982, kb_relative_information_score: 175627.0863, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.3842, predictive_accuracy: 0.3684, prior_entropy: 3.3219, ram_hours: 0, recall: 0.3684, relative_absolute_error: 0.9469, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.9675, run_cpu_time: 23.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.0345, kappa: -0.0006, kb_relative_information_score: 1177.929, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.0583, predictive_accuracy: 0.1002, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1002, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, run_cpu_time: 17.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6688, f_measure: 0.3539, kappa: 0.2817, kb_relative_information_score: 324659.6654, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.3614, predictive_accuracy: 0.3536, prior_entropy: 3.3219, ram_hours: 0, recall: 0.3536, relative_absolute_error: 0.7492, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3293, root_relative_squared_error: 1.0976, run_cpu_time: 12.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.6926, kappa: 0.6584, kb_relative_information_score: 645264.886, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.6932, predictive_accuracy: 0.6925, prior_entropy: 3.3219, ram_hours: 0.0004, recall: 0.6925, relative_absolute_error: 0.4878, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.7013, run_cpu_time: 164.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.6956, kappa: 0.6619, kb_relative_information_score: 637667.6632, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.6957, predictive_accuracy: 0.6957, prior_entropy: 3.3219, ram_hours: 0.0005, recall: 0.6957, relative_absolute_error: 0.5111, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.21, root_relative_squared_error: 0.7, run_cpu_time: 193.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5383, f_measure: 0.0935, kappa: 0.0766, kb_relative_information_score: 130891.8647, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.0893, predictive_accuracy: 0.1689, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1689, relative_absolute_error: 0.9234, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4077, root_relative_squared_error: 1.359, run_cpu_time: 7.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.366, kappa: 0.3062, kb_relative_information_score: 373386.3571, mean_absolute_error: 0.1411, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.3702, predictive_accuracy: 0.3756, prior_entropy: 3.3219, ram_hours: 0, recall: 0.3756, relative_absolute_error: 0.7838, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.9003, run_cpu_time: 21.08,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.1003, kappa: 0.0004, kb_relative_information_score: 59181.1363, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.1003, predictive_accuracy: 0.1003, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1003, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4242, root_relative_squared_error: 1.4139, run_cpu_time: 8.76,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, f_measure: 0.3631, kappa: 0.2936, kb_relative_information_score: 331220.1904, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.385, predictive_accuracy: 0.3643, prior_entropy: 3.3219, ram_hours: 0, recall: 0.3643, relative_absolute_error: 0.7552, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3117, root_relative_squared_error: 1.039, run_cpu_time: 12.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.6898, kappa: 0.6558, kb_relative_information_score: 645758.6635, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.6899, predictive_accuracy: 0.6902, prior_entropy: 3.3219, ram_hours: 0, recall: 0.6902, relative_absolute_error: 0.4821, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.7069, run_cpu_time: 35.26,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.378, kappa: 0.306, kb_relative_information_score: 365070.5938, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.3891, predictive_accuracy: 0.3754, prior_entropy: 3.3219, ram_hours: 0, recall: 0.3754, relative_absolute_error: 0.7411, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.9869, run_cpu_time: 30.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.3482, kappa: 0.3245, kb_relative_information_score: 385997.5091, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.3766, predictive_accuracy: 0.3922, prior_entropy: 3.3219, ram_hours: 0, recall: 0.3922, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.8804, run_cpu_time: 70.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.6387, kappa: 0.6019, kb_relative_information_score: 497453.1623, mean_absolute_error: 0.1283, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.6381, predictive_accuracy: 0.6417, prior_entropy: 3.3219, ram_hours: 0, recall: 0.6417, relative_absolute_error: 0.7128, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.7994, run_cpu_time: 504.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.6898, kappa: 0.6558, kb_relative_information_score: 645758.6635, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.6899, predictive_accuracy: 0.6902, prior_entropy: 3.3219, ram_hours: 0, recall: 0.6902, relative_absolute_error: 0.4821, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.7069, run_cpu_time: 32.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.6399, kappa: 0.6025, kb_relative_information_score: 497531.6119, mean_absolute_error: 0.1283, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.639, predictive_accuracy: 0.6422, prior_entropy: 3.3219, ram_hours: 0.002, recall: 0.6422, relative_absolute_error: 0.7129, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.7992, run_cpu_time: 12380.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5108, f_measure: 0.05, kappa: 0.0215, kb_relative_information_score: 79005.5611, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.0928, predictive_accuracy: 0.1193, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1193, relative_absolute_error: 0.9786, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4197, root_relative_squared_error: 1.399, run_cpu_time: 7.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.74, kappa: 0.71, kb_relative_information_score: 697132.318, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7419, predictive_accuracy: 0.739, prior_entropy: 3.3219, ram_hours: 0.0001, recall: 0.739, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.6476, run_cpu_time: 224.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.5354, kappa: 0.4885, kb_relative_information_score: 520929.4017, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.5355, predictive_accuracy: 0.5396, prior_entropy: 3.3219, ram_hours: 0, recall: 0.5396, relative_absolute_error: 0.6171, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2428, root_relative_squared_error: 0.8094, run_cpu_time: 27.48,

    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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