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OpenML
Task
Supervised Data Stream Classification on BNG(JapaneseVowels)

Supervised Data Stream Classification on BNG(JapaneseVowels)

Task 7285 Supervised Data Stream Classification BNG(JapaneseVowels) 288 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • ecmlpkdd2015 streamensembles streams study_11 study_16
Issue #Downvotes for this reason By


Metric:

288 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.4358, kappa: 0.4579, kb_relative_information_score: 220431.7824, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.631, predictive_accuracy: 0.533, prior_entropy: 3.1699, recall: 0.533, relative_absolute_error: 0.9183, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.9384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.8231, kappa: 0.802, kb_relative_information_score: 748732.2257, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.8248, predictive_accuracy: 0.8254, prior_entropy: 3.1699, recall: 0.8254, relative_absolute_error: 0.3841, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.5576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6327, f_measure: 0.1977, kappa: 0.1406, kb_relative_information_score: 205168.805, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.2407, predictive_accuracy: 0.2453, prior_entropy: 3.1699, recall: 0.2453, relative_absolute_error: 0.9108, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.312, root_relative_squared_error: 0.9926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.8081, kappa: 0.7832, kb_relative_information_score: 763859.9308, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.808, predictive_accuracy: 0.8087, prior_entropy: 3.1699, recall: 0.8087, relative_absolute_error: 0.3454, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.5638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5591, f_measure: 0.0269, kappa: 0.0055, kb_relative_information_score: 89662.2229, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.1092, predictive_accuracy: 0.1023, prior_entropy: 3.1699, recall: 0.1023, relative_absolute_error: 0.9908, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.4158, root_relative_squared_error: 1.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0224, kb_relative_information_score: 64063.3853, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.0125, predictive_accuracy: 0.1117, prior_entropy: 3.1699, recall: 0.1117, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.4443, root_relative_squared_error: 1.4138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.7728, kappa: 0.7453, kb_relative_information_score: 705003.8698, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.7763, predictive_accuracy: 0.7759, prior_entropy: 3.1699, recall: 0.7759, relative_absolute_error: 0.4337, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.6169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.7602, kappa: 0.7292, kb_relative_information_score: 733530.9432, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.7629, predictive_accuracy: 0.7611, prior_entropy: 3.1699, recall: 0.7611, relative_absolute_error: 0.368, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.6177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.7885, kappa: 0.7621, kb_relative_information_score: 760517.2897, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.7875, predictive_accuracy: 0.7901, prior_entropy: 3.1699, recall: 0.7901, relative_absolute_error: 0.3377, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.5811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6737, f_measure: 0.1081, kappa: 0.1285, kb_relative_information_score: 186788.0269, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.1287, predictive_accuracy: 0.2467, prior_entropy: 3.1699, recall: 0.2467, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.9665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.0196, kappa: 0.0013, kb_relative_information_score: 50156.757, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.1183, predictive_accuracy: 0.0985, prior_entropy: 3.1699, recall: 0.0985, relative_absolute_error: 1.0142, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.4476, root_relative_squared_error: 1.4242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5441, f_measure: 0.0877, kappa: 0.0716, kb_relative_information_score: 120426.1516, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.0813, predictive_accuracy: 0.1633, prior_entropy: 3.1699, recall: 0.1633, relative_absolute_error: 0.9432, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.4278, root_relative_squared_error: 1.3613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.7603, kappa: 0.7308, kb_relative_information_score: 690824.3641, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.7592, predictive_accuracy: 0.7626, prior_entropy: 3.1699, recall: 0.7626, relative_absolute_error: 0.4424, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.6327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.7915, kappa: 0.7654, kb_relative_information_score: 287361.3453, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.7911, predictive_accuracy: 0.7932, prior_entropy: 3.1699, recall: 0.7932, relative_absolute_error: 0.8886, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2855, root_relative_squared_error: 0.9084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6971, f_measure: 0.1087, kappa: 0.13, kb_relative_information_score: 206139.0795, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.1566, predictive_accuracy: 0.2523, prior_entropy: 3.1699, recall: 0.2523, relative_absolute_error: 0.927, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.9638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7245, f_measure: 0.2292, kappa: 0.1281, kb_relative_information_score: 216669.8076, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.2278, predictive_accuracy: 0.2323, prior_entropy: 3.1699, recall: 0.2323, relative_absolute_error: 0.8611, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.353, root_relative_squared_error: 1.1233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.7512, kappa: 0.7218, kb_relative_information_score: 671964.8854, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.7502, predictive_accuracy: 0.7548, prior_entropy: 3.1699, recall: 0.7548, relative_absolute_error: 0.4718, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.6398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5683, f_measure: 0.1214, kappa: 0.0767, kb_relative_information_score: 124635.5455, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.2009, predictive_accuracy: 0.1664, prior_entropy: 3.1699, recall: 0.1664, relative_absolute_error: 0.9373, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.4214, root_relative_squared_error: 1.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.6055, kappa: 0.5498, kb_relative_information_score: 529177.1327, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.6266, predictive_accuracy: 0.6051, prior_entropy: 3.1699, recall: 0.6051, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.8366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.7601, kappa: 0.7291, kb_relative_information_score: 733107.9677, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.7628, predictive_accuracy: 0.761, prior_entropy: 3.1699, recall: 0.761, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.6178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6737, f_measure: 0.1081, kappa: 0.1284, kb_relative_information_score: 186674.2705, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.1183, predictive_accuracy: 0.2466, prior_entropy: 3.1699, recall: 0.2466, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.9666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.7906, kappa: 0.764, kb_relative_information_score: 767654.2763, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.7904, predictive_accuracy: 0.7919, prior_entropy: 3.1699, recall: 0.7919, relative_absolute_error: 0.3193, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.5852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0224, kb_relative_information_score: 64063.3853, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.0125, predictive_accuracy: 0.1117, prior_entropy: 3.1699, recall: 0.1117, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.4443, root_relative_squared_error: 1.4138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.6144, kappa: 0.5605, kb_relative_information_score: 586356.5584, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.6212, predictive_accuracy: 0.6122, prior_entropy: 3.1699, recall: 0.6122, relative_absolute_error: 0.4655, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2801, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.772, kappa: 0.743, kb_relative_information_score: 286247.8788, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.7734, predictive_accuracy: 0.7734, prior_entropy: 3.1699, recall: 0.7734, relative_absolute_error: 0.8889, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0224, kb_relative_information_score: 63993.7188, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.0125, predictive_accuracy: 0.1117, prior_entropy: 3.1699, recall: 0.1117, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.4442, root_relative_squared_error: 1.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.7358, kappa: 0.6996, kb_relative_information_score: 710588.8068, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.7378, predictive_accuracy: 0.7349, prior_entropy: 3.1699, recall: 0.7349, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.6448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5745, f_measure: 0.2383, kappa: 0.1484, kb_relative_information_score: 208261.7948, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.2449, predictive_accuracy: 0.2486, prior_entropy: 3.1699, recall: 0.2486, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.4085, root_relative_squared_error: 1.2999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.5935, kappa: 0.5588, kb_relative_information_score: 532723.4093, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.5941, predictive_accuracy: 0.6116, prior_entropy: 3.1699, recall: 0.6116, relative_absolute_error: 0.575, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.8214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.6144, kappa: 0.5605, kb_relative_information_score: 586356.5584, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.6212, predictive_accuracy: 0.6122, prior_entropy: 3.1699, recall: 0.6122, relative_absolute_error: 0.4655, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2801, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5353, f_measure: 0.0865, kappa: 0.0698, kb_relative_information_score: 116766.833, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.0805, predictive_accuracy: 0.1617, prior_entropy: 3.1699, recall: 0.1617, relative_absolute_error: 0.9431, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.4316, root_relative_squared_error: 1.3734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.0448, kappa: -0, kb_relative_information_score: 46405.2403, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.089, predictive_accuracy: 0.1608, prior_entropy: 3.1699, recall: 0.1608, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.9966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.1169, kappa: -0.0002, kb_relative_information_score: 69611.6711, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.1169, predictive_accuracy: 0.1169, prior_entropy: 3.1699, recall: 0.1169, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.443, root_relative_squared_error: 1.4096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.5604, kappa: 0.5066, kb_relative_information_score: 509772.9467, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.5577, predictive_accuracy: 0.5647, prior_entropy: 3.1699, recall: 0.5647, relative_absolute_error: 0.6371, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.8014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.782, kappa: 0.7538, kb_relative_information_score: 765181.7937, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.782, predictive_accuracy: 0.7828, prior_entropy: 3.1699, recall: 0.7828, relative_absolute_error: 0.3154, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.5985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0224, kb_relative_information_score: 64063.3853, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.0125, predictive_accuracy: 0.1117, prior_entropy: 3.1699, recall: 0.1117, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.4443, root_relative_squared_error: 1.4138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.7799, kappa: 0.7515, kb_relative_information_score: 761714.6768, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.7799, predictive_accuracy: 0.7808, prior_entropy: 3.1699, recall: 0.7808, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5127, f_measure: 0.0689, kappa: 0.0023, kb_relative_information_score: 50965.1271, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.1347, predictive_accuracy: 0.1604, prior_entropy: 3.1699, recall: 0.1604, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.9964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.8029, kappa: 0.7775, kb_relative_information_score: 752751.6301, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.8027, predictive_accuracy: 0.8038, prior_entropy: 3.1699, recall: 0.8038, relative_absolute_error: 0.3732, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.5656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.7952, kappa: 0.7689, kb_relative_information_score: 752542.8322, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.7948, predictive_accuracy: 0.7962, prior_entropy: 3.1699, recall: 0.7962, relative_absolute_error: 0.3662, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.798, kappa: 0.7721, kb_relative_information_score: 770015.8548, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.7981, predictive_accuracy: 0.799, prior_entropy: 3.1699, recall: 0.799, relative_absolute_error: 0.3296, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.5673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.8002, kappa: 0.7745, kb_relative_information_score: 772595.6374, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.8001, predictive_accuracy: 0.8011, prior_entropy: 3.1699, recall: 0.8011, relative_absolute_error: 0.3251, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.5655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8333, kappa: 0.812, kb_relative_information_score: 799362.6444, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.833, predictive_accuracy: 0.8342, prior_entropy: 3.1699, recall: 0.8342, relative_absolute_error: 0.2975, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.5208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.765, kappa: 0.7381, kb_relative_information_score: 701982.898, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.7662, predictive_accuracy: 0.7692, prior_entropy: 3.1699, recall: 0.7692, relative_absolute_error: 0.4371, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.6261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.7638, kappa: 0.7372, kb_relative_information_score: 701907.4461, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.7654, predictive_accuracy: 0.7684, prior_entropy: 3.1699, recall: 0.7684, relative_absolute_error: 0.4371, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.6265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.7799, kappa: 0.7515, kb_relative_information_score: 761714.6768, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.7799, predictive_accuracy: 0.7808, prior_entropy: 3.1699, recall: 0.7808, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.0196, kappa: 0.0013, kb_relative_information_score: 50138.9367, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.1183, predictive_accuracy: 0.0985, prior_entropy: 3.1699, recall: 0.0985, relative_absolute_error: 1.0142, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.4476, root_relative_squared_error: 1.4242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.7602, kappa: 0.7292, kb_relative_information_score: 733529.6435, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.7629, predictive_accuracy: 0.7611, prior_entropy: 3.1699, recall: 0.7611, relative_absolute_error: 0.368, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.6178,

    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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