Task
Supervised Data Stream Classification on BNG(mfeat-karhunen,nominal,1000000)

Supervised Data Stream Classification on BNG(mfeat-karhunen,nominal,1000000)

Task 129 Supervised Data Stream Classification BNG(mfeat-karhunen,nominal,1000000) 49 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9468, kappa: 0.9409, kb_relative_information_score: 294098.6805, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.9468, predictive_accuracy: 0.9468, prior_entropy: 3.3219, recall: 0.9468, relative_absolute_error: 0.8921, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.9075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9468, kappa: 0.9409, kb_relative_information_score: 294098.6805, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.9468, predictive_accuracy: 0.9468, prior_entropy: 3.3219, recall: 0.9468, relative_absolute_error: 0.8921, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.9075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5735, f_measure: 0.0968, kappa: 0.0722, kb_relative_information_score: 134554.6474, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.1066, predictive_accuracy: 0.1647, prior_entropy: 3.3219, recall: 0.1647, relative_absolute_error: 0.9349, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3976, root_relative_squared_error: 1.3255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9515, kappa: 0.9462, kb_relative_information_score: 927035.6074, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.9515, predictive_accuracy: 0.9516, prior_entropy: 3.3219, recall: 0.9516, relative_absolute_error: 0.1265, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.3025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.948, kappa: 0.9423, kb_relative_information_score: 291753.8297, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.948, predictive_accuracy: 0.9481, prior_entropy: 3.3219, recall: 0.9481, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.9069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 58952.1155, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.01, predictive_accuracy: 0.1001, prior_entropy: 3.3219, recall: 0.1001, relative_absolute_error: 0.9999, 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: 0.9983, f_measure: 0.9555, kappa: 0.9506, kb_relative_information_score: 954408.452, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.9556, predictive_accuracy: 0.9555, prior_entropy: 3.3219, recall: 0.9555, relative_absolute_error: 0.0639, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.2744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.951, kappa: 0.9456, kb_relative_information_score: 929391.3003, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.951, predictive_accuracy: 0.951, prior_entropy: 3.3219, recall: 0.951, relative_absolute_error: 0.1205, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.3041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 58952.1155, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.01, predictive_accuracy: 0.1001, prior_entropy: 3.3219, recall: 0.1001, relative_absolute_error: 0.9999, 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: 0.5429, f_measure: 0.1043, kappa: 0.0856, kb_relative_information_score: 139057.0799, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.1051, predictive_accuracy: 0.1767, prior_entropy: 3.3219, recall: 0.1767, relative_absolute_error: 0.9148, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4058, root_relative_squared_error: 1.3526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5483, f_measure: 0.1019, kappa: 0.0897, kb_relative_information_score: 143301.3197, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.094, predictive_accuracy: 0.1804, prior_entropy: 3.3219, recall: 0.1804, relative_absolute_error: 0.9121, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.3459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.8833, kappa: 0.8705, kb_relative_information_score: 782824.6835, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8837, predictive_accuracy: 0.8835, prior_entropy: 3.3219, recall: 0.8835, relative_absolute_error: 0.3659, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.5087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.826, kappa: 0.8071, kb_relative_information_score: 761036.9358, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8265, predictive_accuracy: 0.8264, prior_entropy: 3.3219, recall: 0.8264, relative_absolute_error: 0.3761, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.5569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6759, f_measure: 0.1416, kappa: 0.1013, kb_relative_information_score: 190716.9404, mean_absolute_error: 0.1678, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.1286, predictive_accuracy: 0.1911, prior_entropy: 3.3219, recall: 0.1911, relative_absolute_error: 0.9324, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.9675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.2184, kappa: 0.1636, kb_relative_information_score: 263573.509, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.2355, predictive_accuracy: 0.2472, prior_entropy: 3.3219, recall: 0.2472, relative_absolute_error: 0.8369, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3457, root_relative_squared_error: 1.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.8063, kappa: 0.785, kb_relative_information_score: 748629.0243, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.808, predictive_accuracy: 0.8065, prior_entropy: 3.3219, recall: 0.8065, relative_absolute_error: 0.3911, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.5697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.918, kappa: 0.9092, kb_relative_information_score: 910934.567, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.9182, predictive_accuracy: 0.9183, prior_entropy: 3.3219, recall: 0.9183, relative_absolute_error: 0.1138, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.4181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.6767, kappa: 0.6384, kb_relative_information_score: 640611.1991, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.6846, predictive_accuracy: 0.6745, prior_entropy: 3.3219, recall: 0.6745, relative_absolute_error: 0.4188, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2385, root_relative_squared_error: 0.7951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8121, kappa: 0.7924, kb_relative_information_score: 811942.348, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8275, predictive_accuracy: 0.8131, prior_entropy: 3.3219, recall: 0.8131, relative_absolute_error: 0.2454, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.5561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7271, f_measure: 0.1454, kappa: 0.1653, kb_relative_information_score: 233318.0916, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.1386, predictive_accuracy: 0.2488, prior_entropy: 3.3219, recall: 0.2488, relative_absolute_error: 0.9094, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.9537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9544, kappa: 0.9494, kb_relative_information_score: 952198.3649, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.9544, predictive_accuracy: 0.9545, prior_entropy: 3.3219, recall: 0.9545, relative_absolute_error: 0.066, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0844, root_relative_squared_error: 0.2812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 58952.1155, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.01, predictive_accuracy: 0.1001, prior_entropy: 3.3219, recall: 0.1001, relative_absolute_error: 0.9999, 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: 0.8518, f_measure: 0.6706, kappa: 0.6354, kb_relative_information_score: 648210.2278, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.673, predictive_accuracy: 0.6719, prior_entropy: 3.3219, recall: 0.6719, relative_absolute_error: 0.4178, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.7955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 58952.1155, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.01, predictive_accuracy: 0.1001, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1001, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4242, root_relative_squared_error: 1.4141, run_cpu_time: 29.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.6067, kappa: 0.5696, kb_relative_information_score: 580136.9771, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.621, predictive_accuracy: 0.6126, prior_entropy: 3.3219, ram_hours: 0, recall: 0.6126, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2404, root_relative_squared_error: 0.8012, run_cpu_time: 28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.6706, kappa: 0.6354, kb_relative_information_score: 648210.2278, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.673, predictive_accuracy: 0.6719, prior_entropy: 3.3219, ram_hours: 0, recall: 0.6719, relative_absolute_error: 0.4178, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.7955, run_cpu_time: 28.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 58881.7939, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.01, predictive_accuracy: 0.1001, prior_entropy: 3.3219, ram_hours: 0.0084, recall: 0.1001, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4241, root_relative_squared_error: 1.4138, run_cpu_time: 101.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5762, f_measure: 0.1153, kappa: 0.1522, kb_relative_information_score: 202151.6158, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.077, predictive_accuracy: 0.2371, prior_entropy: 3.3219, ram_hours: 0, recall: 0.2371, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3905, root_relative_squared_error: 1.3017, run_cpu_time: 26.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9675, kappa: 0.9638, kb_relative_information_score: 854597.6379, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.9675, predictive_accuracy: 0.9675, prior_entropy: 3.3219, ram_hours: 0.0324, recall: 0.9675, relative_absolute_error: 0.2847, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1165, root_relative_squared_error: 0.3884, run_cpu_time: 948.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5447, f_measure: 0.1018, kappa: 0.0894, kb_relative_information_score: 142627.3553, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.0942, predictive_accuracy: 0.1801, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1801, relative_absolute_error: 0.911, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4049, root_relative_squared_error: 1.3498, run_cpu_time: 26.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, f_measure: 0.037, kappa: -0.0003, kb_relative_information_score: 788.1766, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.0684, predictive_accuracy: 0.1001, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1001, 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: 31.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9544, kappa: 0.9494, kb_relative_information_score: 952198.3649, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.9544, predictive_accuracy: 0.9545, prior_entropy: 3.3219, ram_hours: 0.0001, recall: 0.9545, relative_absolute_error: 0.066, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0844, root_relative_squared_error: 0.2812, run_cpu_time: 113.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9291, kappa: 0.9213, kb_relative_information_score: 927825.6568, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.9293, predictive_accuracy: 0.9292, prior_entropy: 3.3219, ram_hours: 0, recall: 0.9292, relative_absolute_error: 0.0955, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1052, root_relative_squared_error: 0.3505, run_cpu_time: 145.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.476, kappa: 0.4316, kb_relative_information_score: 408486.9189, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.5077, predictive_accuracy: 0.4884, prior_entropy: 3.3219, ram_hours: 0, recall: 0.4884, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.858, run_cpu_time: 89.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8865, kappa: 0.8737, kb_relative_information_score: 290079.1411, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.889, predictive_accuracy: 0.8863, prior_entropy: 3.3219, ram_hours: 0, recall: 0.8863, relative_absolute_error: 0.8938, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.9109, run_cpu_time: 74.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.6477, kappa: 0.611, kb_relative_information_score: 620060.2377, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.6486, predictive_accuracy: 0.6499, prior_entropy: 3.3219, ram_hours: 0, recall: 0.6499, relative_absolute_error: 0.5198, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.7224, run_cpu_time: 50.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.0993, kappa: -0.0008, kb_relative_information_score: 58093.5486, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.0993, predictive_accuracy: 0.0993, prior_entropy: 3.3219, ram_hours: 0, recall: 0.0993, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4244, root_relative_squared_error: 1.4148, run_cpu_time: 25.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9667, kappa: 0.963, kb_relative_information_score: 956220.6587, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.9667, predictive_accuracy: 0.9667, prior_entropy: 3.3219, ram_hours: 0.0033, recall: 0.9667, relative_absolute_error: 0.0711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0729, root_relative_squared_error: 0.2429, run_cpu_time: 532.59,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9623, kappa: 0.9581, kb_relative_information_score: 940670.6007, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 3.3219, ram_hours: 0.0008, recall: 0.9623, relative_absolute_error: 0.1043, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0803, root_relative_squared_error: 0.2676, run_cpu_time: 765.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9405, kappa: 0.9339, kb_relative_information_score: 939001.9018, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.9406, predictive_accuracy: 0.9405, prior_entropy: 3.3219, ram_hours: 0, recall: 0.9405, relative_absolute_error: 0.085, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0945, root_relative_squared_error: 0.3151, run_cpu_time: 72.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9721, kappa: 0.969, kb_relative_information_score: 897643.7913, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.9721, predictive_accuracy: 0.9721, prior_entropy: 3.3219, ram_hours: 0.0037, recall: 0.9721, relative_absolute_error: 0.2074, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0934, root_relative_squared_error: 0.3113, run_cpu_time: 556.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9709, kappa: 0.9677, kb_relative_information_score: 960587.2848, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.9709, predictive_accuracy: 0.9709, prior_entropy: 3.3219, ram_hours: 0.0229, recall: 0.9709, relative_absolute_error: 0.0664, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0689, root_relative_squared_error: 0.2296, run_cpu_time: 1000.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.8113, kappa: 0.7928, kb_relative_information_score: 699200.2694, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8453, predictive_accuracy: 0.8135, prior_entropy: 3.3219, ram_hours: 0.0071, recall: 0.8135, relative_absolute_error: 0.4757, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.6113, run_cpu_time: 27702.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.8113, kappa: 0.7928, kb_relative_information_score: 699200.2694, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8453, predictive_accuracy: 0.8135, prior_entropy: 3.3219, ram_hours: 0.0118, recall: 0.8135, relative_absolute_error: 0.4757, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.6113, run_cpu_time: 26060.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.8099, kappa: 0.7913, kb_relative_information_score: 699171.8143, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8455, predictive_accuracy: 0.8121, prior_entropy: 3.3219, ram_hours: 0.0002, recall: 0.8121, relative_absolute_error: 0.4756, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.6115, run_cpu_time: 1375.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9544, kappa: 0.9494, kb_relative_information_score: 952198.3649, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.9544, predictive_accuracy: 0.9545, prior_entropy: 3.3219, ram_hours: 0.0001, recall: 0.9545, relative_absolute_error: 0.066, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0844, root_relative_squared_error: 0.2812, run_cpu_time: 102.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5428, f_measure: 0.1044, kappa: 0.0856, kb_relative_information_score: 139041.4529, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.1051, predictive_accuracy: 0.1767, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1767, relative_absolute_error: 0.9148, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4058, root_relative_squared_error: 1.3526, run_cpu_time: 26.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9556, kappa: 0.9506, kb_relative_information_score: 954412.7132, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.9556, predictive_accuracy: 0.9555, prior_entropy: 3.3219, ram_hours: 0, recall: 0.9555, relative_absolute_error: 0.0639, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.2744, run_cpu_time: 72.44,

    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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