Task
Supervised Data Stream Classification on BNG(page-blocks,nominal,295245)

Supervised Data Stream Classification on BNG(page-blocks,nominal,295245)

Task 165 Supervised Data Stream Classification BNG(page-blocks,nominal,295245) 49 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.903, kappa: 0.4863, kb_relative_information_score: 260724.7953, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.9044, predictive_accuracy: 0.9166, prior_entropy: 2.3219, recall: 0.9166, relative_absolute_error: 0.1512, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.3954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7815, f_measure: 0.8512, kappa: 0.0128, kb_relative_information_score: 243209.1742, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8213, predictive_accuracy: 0.8982, prior_entropy: 2.3219, recall: 0.8982, relative_absolute_error: 0.2446, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.4794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4757, f_measure: 0.8613, kappa: 0.098, kb_relative_information_score: 119246.703, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8675, predictive_accuracy: 0.9014, prior_entropy: 2.3219, recall: 0.9014, relative_absolute_error: 0.7669, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.8135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, f_measure: 0.8986, kappa: 0.4443, kb_relative_information_score: 120432.013, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8916, predictive_accuracy: 0.9133, prior_entropy: 2.3219, recall: 0.9133, relative_absolute_error: 0.764, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.8096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.8809, kappa: 0.2694, kb_relative_information_score: 259819.3063, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8817, predictive_accuracy: 0.9074, prior_entropy: 2.3219, recall: 0.9074, relative_absolute_error: 0.1584, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.4023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.9055, kappa: 0.498, kb_relative_information_score: 260327.4179, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.9026, predictive_accuracy: 0.9174, prior_entropy: 2.3219, recall: 0.9174, relative_absolute_error: 0.154, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.3954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8501, kb_relative_information_score: 261046.8795, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8069, predictive_accuracy: 0.8983, prior_entropy: 2.3219, recall: 0.8983, relative_absolute_error: 0.1272, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.5043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5069, f_measure: 0.8516, kappa: 0.0165, kb_relative_information_score: 261117.0449, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8234, predictive_accuracy: 0.8985, prior_entropy: 2.3219, recall: 0.8985, relative_absolute_error: 0.1269, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.5038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7268, f_measure: 0.8778, kappa: 0.3293, kb_relative_information_score: 260172.5108, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8589, predictive_accuracy: 0.8977, prior_entropy: 2.3219, recall: 0.8977, relative_absolute_error: 0.1364, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.4835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, f_measure: 0.8963, kappa: 0.44, kb_relative_information_score: 257473.3287, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.9045, predictive_accuracy: 0.9151, prior_entropy: 2.3219, recall: 0.9151, relative_absolute_error: 0.171, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.164, root_relative_squared_error: 0.4101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.9002, kappa: 0.4711, kb_relative_information_score: 259108.9779, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8996, predictive_accuracy: 0.9166, prior_entropy: 2.3219, recall: 0.9166, relative_absolute_error: 0.1605, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.4037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6918, f_measure: 0.8875, kappa: 0.3935, kb_relative_information_score: 253996.1522, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8683, predictive_accuracy: 0.9075, prior_entropy: 2.3219, recall: 0.9075, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.4391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6787, f_measure: 0.8809, kappa: 0.3022, kb_relative_information_score: 264264.4245, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8592, predictive_accuracy: 0.9073, prior_entropy: 2.3219, recall: 0.9073, relative_absolute_error: 0.116, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.188, root_relative_squared_error: 0.4701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.8963, kappa: 0.4486, kb_relative_information_score: 258425.4897, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8941, predictive_accuracy: 0.9147, prior_entropy: 2.3219, recall: 0.9147, relative_absolute_error: 0.1634, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.4041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.8948, kappa: 0.3949, kb_relative_information_score: 260406.5513, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8911, predictive_accuracy: 0.9126, prior_entropy: 2.3219, recall: 0.9126, relative_absolute_error: 0.1502, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.4112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7399, f_measure: 0.898, kappa: 0.4711, kb_relative_information_score: 257921.172, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8822, predictive_accuracy: 0.9145, prior_entropy: 2.3219, recall: 0.9145, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.4234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.8778, kappa: 0.2399, kb_relative_information_score: 258320.5062, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.876, predictive_accuracy: 0.9069, prior_entropy: 2.3219, recall: 0.9069, relative_absolute_error: 0.1593, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.169, root_relative_squared_error: 0.4224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7385, f_measure: 0.8875, kappa: 0.3935, kb_relative_information_score: 252799.9477, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8683, predictive_accuracy: 0.9075, prior_entropy: 2.3219, recall: 0.9075, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.4373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.9028, kappa: 0.4855, kb_relative_information_score: 260728.2011, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.9028, predictive_accuracy: 0.9163, prior_entropy: 2.3219, recall: 0.9163, relative_absolute_error: 0.1511, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.3967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8501, kb_relative_information_score: 261046.8795, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8069, predictive_accuracy: 0.8983, prior_entropy: 2.3219, recall: 0.8983, relative_absolute_error: 0.1272, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.5043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7709, f_measure: 0.8981, kappa: 0.4668, kb_relative_information_score: 258104.8733, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.895, predictive_accuracy: 0.9137, prior_entropy: 2.3219, recall: 0.9137, relative_absolute_error: 0.1609, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.8799, kappa: 0.2562, kb_relative_information_score: 261733.1451, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.881, predictive_accuracy: 0.9071, prior_entropy: 2.3219, ram_hours: 0, recall: 0.9071, relative_absolute_error: 0.1412, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.4147, run_cpu_time: 6.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7709, f_measure: 0.8981, kappa: 0.4668, kb_relative_information_score: 258104.8733, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.895, predictive_accuracy: 0.9137, prior_entropy: 2.3219, ram_hours: 0, recall: 0.9137, relative_absolute_error: 0.1609, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.422, run_cpu_time: 2.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.8806, kappa: 0.3384, kb_relative_information_score: 231555.739, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8744, predictive_accuracy: 0.8884, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8884, relative_absolute_error: 0.3067, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.4967, run_cpu_time: 92.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.8942, kappa: 0.4278, kb_relative_information_score: 256502.5004, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8918, predictive_accuracy: 0.9106, prior_entropy: 2.3219, ram_hours: 0, recall: 0.9106, relative_absolute_error: 0.1709, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.166, root_relative_squared_error: 0.4149, run_cpu_time: 4.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.9028, kappa: 0.4855, kb_relative_information_score: 260728.2011, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.9028, predictive_accuracy: 0.9163, prior_entropy: 2.3219, ram_hours: 0, recall: 0.9163, relative_absolute_error: 0.1511, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.3967, run_cpu_time: 4.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8812, kappa: 0.2836, kb_relative_information_score: 251919.5161, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8785, predictive_accuracy: 0.9079, prior_entropy: 2.3219, ram_hours: 0, recall: 0.9079, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.4345, run_cpu_time: 10.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.903, kappa: 0.4874, kb_relative_information_score: 260649.9476, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.9043, predictive_accuracy: 0.9165, prior_entropy: 2.3219, ram_hours: 0, recall: 0.9165, relative_absolute_error: 0.1517, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.3955, run_cpu_time: 34.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, f_measure: 0.8501, kb_relative_information_score: 244210.6819, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8069, predictive_accuracy: 0.8983, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8983, relative_absolute_error: 0.2358, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4859, run_cpu_time: 2.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8501, kb_relative_information_score: 261046.8795, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8069, predictive_accuracy: 0.8983, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8983, relative_absolute_error: 0.1272, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.5043, run_cpu_time: 1.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7744, f_measure: 0.9006, kappa: 0.4718, kb_relative_information_score: 119914.0047, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8985, predictive_accuracy: 0.9164, prior_entropy: 2.3219, ram_hours: 0, recall: 0.9164, relative_absolute_error: 0.7663, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.8105, run_cpu_time: 3.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8501, kb_relative_information_score: 261046.8795, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8069, predictive_accuracy: 0.8983, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8983, relative_absolute_error: 0.1272, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.5043, run_cpu_time: 1.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8501, kb_relative_information_score: 260159.6055, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8069, predictive_accuracy: 0.8983, prior_entropy: 2.3219, ram_hours: 0.0001, recall: 0.8983, relative_absolute_error: 0.1301, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.5068, run_cpu_time: 13.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.8111, kappa: -0.0003, kb_relative_information_score: 231734.6928, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8111, predictive_accuracy: 0.8111, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8111, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.6872, run_cpu_time: 1.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.8939, kappa: 0.4454, kb_relative_information_score: 255474.6646, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8758, predictive_accuracy: 0.9127, prior_entropy: 2.3219, ram_hours: 0, recall: 0.9127, relative_absolute_error: 0.1758, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.4278, run_cpu_time: 3.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.9034, kappa: 0.4868, kb_relative_information_score: 260706.5864, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.9033, predictive_accuracy: 0.9173, prior_entropy: 2.3219, ram_hours: 0, recall: 0.9173, relative_absolute_error: 0.1513, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.3962, run_cpu_time: 10.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.8851, kappa: 0.2941, kb_relative_information_score: 245677.5952, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8877, predictive_accuracy: 0.9108, prior_entropy: 2.3219, ram_hours: 0, recall: 0.9108, relative_absolute_error: 0.2432, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.416, run_cpu_time: 16.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6449, f_measure: 0.8793, kappa: 0.3157, kb_relative_information_score: 262579.4982, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8577, predictive_accuracy: 0.9028, prior_entropy: 2.3219, ram_hours: 0, recall: 0.9028, relative_absolute_error: 0.1215, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.4929, run_cpu_time: 1.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.903, kappa: 0.4874, kb_relative_information_score: 260649.9476, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.9043, predictive_accuracy: 0.9165, prior_entropy: 2.3219, ram_hours: 0, recall: 0.9165, relative_absolute_error: 0.1517, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.3955, run_cpu_time: 17.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5544, f_measure: 0.8707, kappa: 0.1681, kb_relative_information_score: 262988.0044, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8679, predictive_accuracy: 0.9067, prior_entropy: 2.3219, ram_hours: 0, recall: 0.9067, relative_absolute_error: 0.1196, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.4856, run_cpu_time: 1.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.9028, kappa: 0.4855, kb_relative_information_score: 260728.2011, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.9028, predictive_accuracy: 0.9163, prior_entropy: 2.3219, ram_hours: 0, recall: 0.9163, relative_absolute_error: 0.1511, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.3967, run_cpu_time: 4.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.8882, kappa: 0.3699, kb_relative_information_score: 257900.1774, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8831, predictive_accuracy: 0.9079, prior_entropy: 2.3219, ram_hours: 0.0003, recall: 0.9079, relative_absolute_error: 0.1614, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.4196, run_cpu_time: 1909.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.9055, kappa: 0.4956, kb_relative_information_score: 260960.0514, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.9051, predictive_accuracy: 0.9187, prior_entropy: 2.3219, ram_hours: 0, recall: 0.9187, relative_absolute_error: 0.1503, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.157, root_relative_squared_error: 0.3925, run_cpu_time: 39.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5069, f_measure: 0.8516, kappa: 0.0166, kb_relative_information_score: 261117.4756, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8235, predictive_accuracy: 0.8985, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8985, relative_absolute_error: 0.1269, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.5038, run_cpu_time: 1.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.8808, kappa: 0.2682, kb_relative_information_score: 259849.3198, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8817, predictive_accuracy: 0.9074, prior_entropy: 2.3219, ram_hours: 0, recall: 0.9074, relative_absolute_error: 0.1582, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.4023, run_cpu_time: 4.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.8878, kappa: 0.3665, kb_relative_information_score: 257901.0182, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8776, predictive_accuracy: 0.9078, prior_entropy: 2.3219, ram_hours: 0, recall: 0.9078, relative_absolute_error: 0.1614, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.4196, run_cpu_time: 82.08,

    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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