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

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

Task 184 Supervised Data Stream Classification BNG(vowel,nominal,1000000) 46 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.4308, kappa: 0.3779, kb_relative_information_score: 397359.4313, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.4299, predictive_accuracy: 0.4344, prior_entropy: 3.4594, ram_hours: 0, recall: 0.4344, relative_absolute_error: 0.7782, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.8811, run_cpu_time: 23.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0152, kappa: 0, kb_relative_information_score: 54847.7494, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.091, predictive_accuracy: 0.091, prior_entropy: 3.4594, ram_hours: 0, recall: 0.091, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4065, root_relative_squared_error: 1.4142, run_cpu_time: 7.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.7155, kappa: 0.6878, kb_relative_information_score: 710370.8091, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.7155, predictive_accuracy: 0.7162, prior_entropy: 3.4594, ram_hours: 0, recall: 0.7162, relative_absolute_error: 0.4093, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.6511, run_cpu_time: 39.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.6921, kappa: 0.6609, kb_relative_information_score: 669092.4447, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.6925, predictive_accuracy: 0.6917, prior_entropy: 3.4594, ram_hours: 0.0001, recall: 0.6917, relative_absolute_error: 0.4751, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.6901, run_cpu_time: 253.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.5028, kappa: 0.4533, kb_relative_information_score: 439454.3754, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.51, predictive_accuracy: 0.503, prior_entropy: 3.4594, ram_hours: 0, recall: 0.503, relative_absolute_error: 0.7641, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.8514, run_cpu_time: 340.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.5036, kappa: 0.4537, kb_relative_information_score: 439608.3107, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.5108, predictive_accuracy: 0.5033, prior_entropy: 3.4594, ram_hours: 0.0007, recall: 0.5033, relative_absolute_error: 0.7641, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.8512, run_cpu_time: 5001.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.7687, kappa: 0.7463, kb_relative_information_score: 753911.9952, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.7684, predictive_accuracy: 0.7694, prior_entropy: 3.4594, ram_hours: 0.0009, recall: 0.7694, relative_absolute_error: 0.3692, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.172, root_relative_squared_error: 0.5985, run_cpu_time: 225.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.015, kb_relative_information_score: 54119.9262, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.0082, predictive_accuracy: 0.0903, prior_entropy: 3.4594, ram_hours: 0, recall: 0.0903, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4067, root_relative_squared_error: 1.4147, run_cpu_time: 8.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.7155, kappa: 0.6878, kb_relative_information_score: 710370.8091, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.7155, predictive_accuracy: 0.7162, prior_entropy: 3.4594, ram_hours: 0, recall: 0.7162, relative_absolute_error: 0.4093, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.6511, run_cpu_time: 41.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.7742, kappa: 0.7524, kb_relative_information_score: 759105.8627, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.7739, predictive_accuracy: 0.7749, prior_entropy: 3.4594, ram_hours: 0.0006, recall: 0.7749, relative_absolute_error: 0.3632, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.5921, run_cpu_time: 160.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.509, f_measure: 0.0518, kappa: 0.018, kb_relative_information_score: 71813.3083, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.0517, predictive_accuracy: 0.1073, prior_entropy: 3.4594, ram_hours: 0, recall: 0.1073, relative_absolute_error: 0.982, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4029, root_relative_squared_error: 1.4014, run_cpu_time: 7.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7267, f_measure: 0.2054, kappa: 0.1669, kb_relative_information_score: 197385.7875, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.2274, predictive_accuracy: 0.2426, prior_entropy: 3.4594, ram_hours: 0, recall: 0.2426, relative_absolute_error: 0.9069, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.9538, run_cpu_time: 57.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.015, kb_relative_information_score: 54119.9262, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.0082, predictive_accuracy: 0.0903, prior_entropy: 3.4594, ram_hours: 0, recall: 0.0903, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4067, root_relative_squared_error: 1.4147, run_cpu_time: 11.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.4182, kappa: 0.3673, kb_relative_information_score: 396180.2834, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.4234, predictive_accuracy: 0.4248, prior_entropy: 3.4594, ram_hours: 0, recall: 0.4248, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.8792, run_cpu_time: 22.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.7662, kappa: 0.7436, kb_relative_information_score: 743693.064, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.766, predictive_accuracy: 0.7669, prior_entropy: 3.4594, ram_hours: 0.0006, recall: 0.7669, relative_absolute_error: 0.3917, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.6078, run_cpu_time: 164.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.4084, kappa: 0.3569, kb_relative_information_score: 202069.7765, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.4086, predictive_accuracy: 0.4153, prior_entropy: 3.4594, ram_hours: 0, recall: 0.4153, relative_absolute_error: 0.9364, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.274, root_relative_squared_error: 0.9533, run_cpu_time: 31.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.7768, kappa: 0.7553, kb_relative_information_score: 753138.5512, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.7764, predictive_accuracy: 0.7776, prior_entropy: 3.4594, ram_hours: 0.0025, recall: 0.7776, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.5958, run_cpu_time: 233.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.364, kappa: 0.3074, kb_relative_information_score: 361485.2962, mean_absolute_error: 0.1314, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.3662, predictive_accuracy: 0.3704, prior_entropy: 3.4594, ram_hours: 0, recall: 0.3704, relative_absolute_error: 0.7953, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.9185, run_cpu_time: 27.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, f_measure: 0.4147, kappa: 0.3624, kb_relative_information_score: 429389.8999, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.4203, predictive_accuracy: 0.4204, prior_entropy: 3.4594, ram_hours: 0, recall: 0.4204, relative_absolute_error: 0.6822, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2833, root_relative_squared_error: 0.9856, run_cpu_time: 11.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.015, kb_relative_information_score: 54056.7387, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.0082, predictive_accuracy: 0.0903, prior_entropy: 3.4594, ram_hours: 0.0021, recall: 0.0903, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4066, root_relative_squared_error: 1.4144, run_cpu_time: 86.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.091, kappa: 0.0001, kb_relative_information_score: 54886.2201, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.091, predictive_accuracy: 0.091, prior_entropy: 3.4594, ram_hours: 0, recall: 0.091, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4065, root_relative_squared_error: 1.4141, run_cpu_time: 8.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5765, f_measure: 0.1111, kappa: 0.1528, kb_relative_information_score: 199060.9553, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.0765, predictive_accuracy: 0.2297, prior_entropy: 3.4594, ram_hours: 0, recall: 0.2297, relative_absolute_error: 0.8473, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3741, root_relative_squared_error: 1.3014, run_cpu_time: 10.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.7531, kappa: 0.729, kb_relative_information_score: 749307.4628, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.7528, predictive_accuracy: 0.7536, prior_entropy: 3.4594, ram_hours: 0, recall: 0.7536, relative_absolute_error: 0.3634, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.6134, run_cpu_time: 64.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.035, kappa: -0.0001, kb_relative_information_score: 858.7187, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.0482, predictive_accuracy: 0.0912, prior_entropy: 3.4594, ram_hours: 0, recall: 0.0912, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2875, root_relative_squared_error: 1, run_cpu_time: 16.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.321, kappa: 0.2771, kb_relative_information_score: 347586.6987, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.3499, predictive_accuracy: 0.3428, prior_entropy: 3.4594, ram_hours: 0, recall: 0.3428, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.9712, run_cpu_time: 13.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, f_measure: 0.4147, kappa: 0.3624, kb_relative_information_score: 429389.8999, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.4203, predictive_accuracy: 0.4204, prior_entropy: 3.4594, recall: 0.4204, relative_absolute_error: 0.6822, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2833, root_relative_squared_error: 0.9856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.4298, kappa: 0.3764, kb_relative_information_score: 206835.1954, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.4332, predictive_accuracy: 0.4331, prior_entropy: 3.4594, recall: 0.4331, relative_absolute_error: 0.9343, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.9506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5077, f_measure: 0.0414, kappa: 0.0122, kb_relative_information_score: 88376.2271, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.0688, predictive_accuracy: 0.1021, prior_entropy: 3.4594, recall: 0.1021, relative_absolute_error: 0.9898, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3883, root_relative_squared_error: 1.3508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0152, kappa: 0, kb_relative_information_score: 54847.9692, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.091, predictive_accuracy: 0.091, prior_entropy: 3.4594, recall: 0.091, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4065, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.3622, kappa: 0.2989, kb_relative_information_score: 350585.9547, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.362, predictive_accuracy: 0.3626, prior_entropy: 3.4594, recall: 0.3626, relative_absolute_error: 0.8056, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.266, root_relative_squared_error: 0.9253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.6451, kappa: 0.6118, kb_relative_information_score: 553119.8582, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.6447, predictive_accuracy: 0.6471, prior_entropy: 3.4594, recall: 0.6471, relative_absolute_error: 0.6397, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.7525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.4807, kappa: 0.4297, kb_relative_information_score: 202835.0876, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.4804, predictive_accuracy: 0.4816, prior_entropy: 3.4594, recall: 0.4816, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.9488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.4807, kappa: 0.4297, kb_relative_information_score: 202835.0876, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.4804, predictive_accuracy: 0.4816, prior_entropy: 3.4594, recall: 0.4816, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.9488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.4598, kappa: 0.4101, kb_relative_information_score: 434501.0955, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.4584, predictive_accuracy: 0.4638, prior_entropy: 3.4594, recall: 0.4638, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.015, kb_relative_information_score: 54119.9262, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.0082, predictive_accuracy: 0.0903, prior_entropy: 3.4594, recall: 0.0903, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4067, root_relative_squared_error: 1.4147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.303, kappa: 0.2351, kb_relative_information_score: 261121.6878, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.415, predictive_accuracy: 0.3048, prior_entropy: 3.4594, recall: 0.3048, relative_absolute_error: 0.8235, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.9654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.4308, kappa: 0.3778, kb_relative_information_score: 397211.0392, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.4299, predictive_accuracy: 0.4344, prior_entropy: 3.4594, recall: 0.4344, relative_absolute_error: 0.7784, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.8811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.7147, kappa: 0.687, kb_relative_information_score: 709414.9407, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.7147, predictive_accuracy: 0.7154, prior_entropy: 3.4594, recall: 0.7154, relative_absolute_error: 0.4105, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.6228, kappa: 0.5875, kb_relative_information_score: 577235.2139, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.6221, predictive_accuracy: 0.625, prior_entropy: 3.4594, recall: 0.625, relative_absolute_error: 0.595, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5884, f_measure: 0.1464, kappa: 0.1491, kb_relative_information_score: 218078.3755, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.1833, predictive_accuracy: 0.2264, prior_entropy: 3.4594, recall: 0.2264, relative_absolute_error: 0.85, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3544, root_relative_squared_error: 1.2329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6338, f_measure: 0.1236, kappa: 0.0858, kb_relative_information_score: 128001.1662, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.116, predictive_accuracy: 0.1688, prior_entropy: 3.4594, recall: 0.1688, relative_absolute_error: 0.9566, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.9791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5106, f_measure: 0.0519, kappa: 0.0178, kb_relative_information_score: 78117.8823, mean_absolute_error: 0.1625, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.0497, predictive_accuracy: 0.1071, prior_entropy: 3.4594, recall: 0.1071, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3994, root_relative_squared_error: 1.3893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6263, f_measure: 0.2452, kappa: 0.1763, kb_relative_information_score: 231643.5937, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.2823, predictive_accuracy: 0.2512, prior_entropy: 3.4594, recall: 0.2512, relative_absolute_error: 0.828, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3547, root_relative_squared_error: 1.2339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.5979, kappa: 0.5618, kb_relative_information_score: 528617.8508, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.5986, predictive_accuracy: 0.6017, prior_entropy: 3.4594, recall: 0.6017, relative_absolute_error: 0.6632, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.7824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, f_measure: 0.1111, kappa: 0.1528, kb_relative_information_score: 188857.8055, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.0826, predictive_accuracy: 0.2297, prior_entropy: 3.4594, recall: 0.2297, relative_absolute_error: 0.9298, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.9643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.015, kb_relative_information_score: 54119.9262, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.0082, predictive_accuracy: 0.0903, prior_entropy: 3.4594, recall: 0.0903, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4067, root_relative_squared_error: 1.4147,

    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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