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OpenML
Task
Supervised Data Stream Classification on BNG(mfeat-zernike)

Supervised Data Stream Classification on BNG(mfeat-zernike)

Task 2150 Supervised Data Stream Classification BNG(mfeat-zernike) 46 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
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46 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 58805.7094, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.6712, kappa: 0.6346, kb_relative_information_score: 683708.1072, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.6719, predictive_accuracy: 0.6711, prior_entropy: 3.3219, recall: 0.6711, relative_absolute_error: 0.4076, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.7328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5467, f_measure: 0.1, kappa: 0.0887, kb_relative_information_score: 142651.8089, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.0909, predictive_accuracy: 0.18, prior_entropy: 3.3219, recall: 0.18, relative_absolute_error: 0.9111, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4048, root_relative_squared_error: 1.3493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.7624, kappa: 0.7356, kb_relative_information_score: 751966.5981, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.763, predictive_accuracy: 0.762, prior_entropy: 3.3219, recall: 0.762, relative_absolute_error: 0.3813, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.5982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.1012, kappa: 0.0906, kb_relative_information_score: 145328.2698, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.0916, predictive_accuracy: 0.1817, prior_entropy: 3.3219, recall: 0.1817, relative_absolute_error: 0.911, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4028, root_relative_squared_error: 1.3425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5407, f_measure: 0.0822, kappa: 0.0676, kb_relative_information_score: 124341.1703, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.073, predictive_accuracy: 0.1611, prior_entropy: 3.3219, recall: 0.1611, relative_absolute_error: 0.9344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.407, root_relative_squared_error: 1.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.6836, kappa: 0.6516, kb_relative_information_score: 620281.1644, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.6818, predictive_accuracy: 0.6864, prior_entropy: 3.3219, recall: 0.6864, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.7047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.7252, kappa: 0.6951, kb_relative_information_score: 654857.0509, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.726, predictive_accuracy: 0.7256, prior_entropy: 3.3219, recall: 0.7256, relative_absolute_error: 0.5224, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.6703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.7568, kappa: 0.7308, kb_relative_information_score: 273935.8843, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7561, predictive_accuracy: 0.7577, prior_entropy: 3.3219, recall: 0.7577, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.9179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7312, f_measure: 0.1837, kappa: 0.1451, kb_relative_information_score: 153988.7554, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.2228, predictive_accuracy: 0.2307, prior_entropy: 3.3219, recall: 0.2307, relative_absolute_error: 0.9522, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.9703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7015, f_measure: 0.2011, kappa: 0.1157, kb_relative_information_score: 202915.6084, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.1994, predictive_accuracy: 0.2042, prior_entropy: 3.3219, recall: 0.2042, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3382, root_relative_squared_error: 1.1274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.6795, kappa: 0.6491, kb_relative_information_score: 609765.1092, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.6779, predictive_accuracy: 0.6842, prior_entropy: 3.3219, recall: 0.6842, relative_absolute_error: 0.5646, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.7035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0181, kb_relative_information_score: 58604.5367, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.0851, predictive_accuracy: 0.0998, prior_entropy: 3.3219, recall: 0.0998, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.6882, kappa: 0.6552, kb_relative_information_score: 711736.1382, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.6898, predictive_accuracy: 0.6897, prior_entropy: 3.3219, recall: 0.6897, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.7197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7898, f_measure: 0.4931, kappa: 0.4238, kb_relative_information_score: 441573.8271, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.5431, predictive_accuracy: 0.4814, prior_entropy: 3.3219, recall: 0.4814, relative_absolute_error: 0.6375, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.9087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6582, f_measure: 0.0912, kappa: 0.0924, kb_relative_information_score: 151868.6318, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.1215, predictive_accuracy: 0.1833, prior_entropy: 3.3219, recall: 0.1833, relative_absolute_error: 0.9564, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.6969, kappa: 0.6664, kb_relative_information_score: 708852.1381, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.6952, predictive_accuracy: 0.6998, prior_entropy: 3.3219, recall: 0.6998, relative_absolute_error: 0.3727, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.7086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, f_measure: 0.3051, kappa: 0.2828, kb_relative_information_score: 297951.4929, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.3511, predictive_accuracy: 0.3545, prior_entropy: 3.3219, recall: 0.3545, relative_absolute_error: 0.8059, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.9188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.73, f_measure: 0.49, kappa: 0.4357, kb_relative_information_score: 477264.325, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.4891, predictive_accuracy: 0.4921, prior_entropy: 3.3219, recall: 0.4921, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3058, root_relative_squared_error: 1.0192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1001, kappa: 0.0001, kb_relative_information_score: 58907.1479, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.1001, 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: 18.7217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.677, kappa: 0.6382, kb_relative_information_score: 639861.0368, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.6875, predictive_accuracy: 0.6743, prior_entropy: 3.3219, ram_hours: 0.003, recall: 0.6743, relative_absolute_error: 0.5293, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.7075, run_cpu_time: 14126.7919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5584, f_measure: 0.1834, kappa: 0.1167, kb_relative_information_score: 168523.1922, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.1876, predictive_accuracy: 0.205, prior_entropy: 3.3219, ram_hours: 0, recall: 0.205, relative_absolute_error: 0.8834, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3986, root_relative_squared_error: 1.3288, run_cpu_time: 21.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.6629, kappa: 0.625, kb_relative_information_score: 673795.1564, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.6648, predictive_accuracy: 0.6625, prior_entropy: 3.3219, ram_hours: 0, recall: 0.6625, relative_absolute_error: 0.3871, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.7786, run_cpu_time: 140.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 58805.7094, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142, run_cpu_time: 13.0497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.7149, kappa: 0.6857, kb_relative_information_score: 731873.9452, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7133, predictive_accuracy: 0.7171, prior_entropy: 3.3219, ram_hours: 0.0017, recall: 0.7171, relative_absolute_error: 0.3687, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.6557, run_cpu_time: 641.4557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5326, f_measure: 0.0804, kappa: 0.0653, kb_relative_information_score: 120497.0353, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.0715, predictive_accuracy: 0.159, prior_entropy: 3.3219, ram_hours: 0, recall: 0.159, relative_absolute_error: 0.9345, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4101, root_relative_squared_error: 1.3671, run_cpu_time: 17.3867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5443, f_measure: 0.1001, kappa: 0.0887, kb_relative_information_score: 142547.8777, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.0911, 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: 0.405, root_relative_squared_error: 1.3498, run_cpu_time: 16.9579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.6781, kappa: 0.6426, kb_relative_information_score: 693249.6051, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.6786, predictive_accuracy: 0.6784, prior_entropy: 3.3219, ram_hours: 0.0003, recall: 0.6784, relative_absolute_error: 0.3982, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.719, run_cpu_time: 1534.9545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.7239, kappa: 0.6962, kb_relative_information_score: 731263.097, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.722, predictive_accuracy: 0.7266, prior_entropy: 3.3219, ram_hours: 0.1374, recall: 0.7266, relative_absolute_error: 0.3905, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.6427, run_cpu_time: 1675.7437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.73, f_measure: 0.49, kappa: 0.4357, kb_relative_information_score: 477264.325, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.4891, predictive_accuracy: 0.4921, prior_entropy: 3.3219, ram_hours: 0, recall: 0.4921, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3058, root_relative_squared_error: 1.0192, run_cpu_time: 21.5034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.6946, kappa: 0.6631, kb_relative_information_score: 707032.0696, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.693, predictive_accuracy: 0.6968, prior_entropy: 3.3219, ram_hours: 0.0001, recall: 0.6968, relative_absolute_error: 0.3692, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.719, run_cpu_time: 284.0708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.4906, kappa: 0.4408, kb_relative_information_score: 467317.328, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.4991, predictive_accuracy: 0.4967, prior_entropy: 3.3219, ram_hours: 0, recall: 0.4967, relative_absolute_error: 0.6389, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2676, root_relative_squared_error: 0.8919, run_cpu_time: 22.9615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.0629, kappa: -0.0007, kb_relative_information_score: 630.0357, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.0884, predictive_accuracy: 0.0995, prior_entropy: 3.3219, ram_hours: 0, recall: 0.0995, 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: 23.8627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.7143, kappa: 0.6854, kb_relative_information_score: 729581.2989, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7125, predictive_accuracy: 0.7169, prior_entropy: 3.3219, ram_hours: 0.0023, recall: 0.7169, relative_absolute_error: 0.3816, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.6498, run_cpu_time: 891.2359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 58805.7094, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, ram_hours: 0.0851, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142, run_cpu_time: 481.5258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.6762, kappa: 0.6379, kb_relative_information_score: 639564.6117, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.6863, predictive_accuracy: 0.6741, prior_entropy: 3.3219, ram_hours: 0.0001, recall: 0.6741, relative_absolute_error: 0.5293, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.7079, run_cpu_time: 763.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 58745.8454, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, ram_hours: 0.0062, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4242, root_relative_squared_error: 1.4139, run_cpu_time: 97.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.692, kappa: 0.6604, kb_relative_information_score: 707831.9279, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.6905, predictive_accuracy: 0.6943, prior_entropy: 3.3219, ram_hours: 0, recall: 0.6943, relative_absolute_error: 0.367, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.7205, run_cpu_time: 113.3746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.5071, kappa: 0.4609, kb_relative_information_score: 487889.653, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.5036, predictive_accuracy: 0.5148, prior_entropy: 3.3219, ram_hours: 0, recall: 0.5148, relative_absolute_error: 0.665, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.8317, run_cpu_time: 50.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.7097, kappa: 0.6797, kb_relative_information_score: 728685.7623, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7087, predictive_accuracy: 0.7117, prior_entropy: 3.3219, ram_hours: 0.0024, recall: 0.7117, relative_absolute_error: 0.3706, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.663, run_cpu_time: 1323.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.7242, kappa: 0.6975, kb_relative_information_score: 274507.6567, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.723, predictive_accuracy: 0.7277, prior_entropy: 3.3219, ram_hours: 0, recall: 0.7277, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.9193, run_cpu_time: 39.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.6882, kappa: 0.6552, kb_relative_information_score: 711776.3321, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.6898, predictive_accuracy: 0.6897, prior_entropy: 3.3219, ram_hours: 0, recall: 0.6897, relative_absolute_error: 0.3636, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.216, root_relative_squared_error: 0.72, run_cpu_time: 96.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.692, kappa: 0.6604, kb_relative_information_score: 707831.9279, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.6905, predictive_accuracy: 0.6943, prior_entropy: 3.3219, ram_hours: 0, recall: 0.6943, relative_absolute_error: 0.367, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.7205, run_cpu_time: 148.7,

    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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