OpenML
Supervised Data Stream Classification on BNG(pendigits)

Supervised Data Stream Classification on BNG(pendigits)

Task 2157 Supervised Data Stream Classification BNG(pendigits) 273 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, f_measure: 0.7971, kappa: 0.7754, kb_relative_information_score: 788720.3854, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7986, predictive_accuracy: 0.798, prior_entropy: 3.3219, recall: 0.798, relative_absolute_error: 0.2245, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.201, root_relative_squared_error: 0.6701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.7848, kappa: 0.7636, kb_relative_information_score: 777597.7087, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7926, predictive_accuracy: 0.7873, prior_entropy: 3.3219, recall: 0.7873, relative_absolute_error: 0.2363, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.6875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.8204, kappa: 0.8009, kb_relative_information_score: 812626.4016, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8206, predictive_accuracy: 0.8208, prior_entropy: 3.3219, recall: 0.8208, relative_absolute_error: 0.1991, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.7986, kappa: 0.7782, kb_relative_information_score: 791333.7334, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8048, predictive_accuracy: 0.8005, prior_entropy: 3.3219, recall: 0.8005, relative_absolute_error: 0.2217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.6659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.7886, kappa: 0.7663, kb_relative_information_score: 780103.3437, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7881, predictive_accuracy: 0.7897, prior_entropy: 3.3219, recall: 0.7897, relative_absolute_error: 0.2336, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.6836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8394, kappa: 0.8216, kb_relative_information_score: 832177.8837, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.842, predictive_accuracy: 0.8395, prior_entropy: 3.3219, recall: 0.8395, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.5972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.83, kappa: 0.8115, kb_relative_information_score: 822585.1502, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8313, predictive_accuracy: 0.8303, prior_entropy: 3.3219, recall: 0.8303, relative_absolute_error: 0.1885, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.7668, kappa: 0.7409, kb_relative_information_score: 756159.6802, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7706, predictive_accuracy: 0.7668, prior_entropy: 3.3219, recall: 0.7668, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.216, root_relative_squared_error: 0.7198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.7668, kappa: 0.7409, kb_relative_information_score: 756159.6802, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7706, predictive_accuracy: 0.7668, prior_entropy: 3.3219, recall: 0.7668, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.216, root_relative_squared_error: 0.7198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.8142, kappa: 0.7946, kb_relative_information_score: 806673.95, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8172, predictive_accuracy: 0.8151, prior_entropy: 3.3219, recall: 0.8151, relative_absolute_error: 0.2054, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.7668, kappa: 0.7409, kb_relative_information_score: 756158.6344, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7706, predictive_accuracy: 0.7668, prior_entropy: 3.3219, recall: 0.7668, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.216, root_relative_squared_error: 0.7198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.7668, kappa: 0.7409, kb_relative_information_score: 756158.6344, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7706, predictive_accuracy: 0.7668, prior_entropy: 3.3219, recall: 0.7668, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.216, root_relative_squared_error: 0.7198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.7668, kappa: 0.7409, kb_relative_information_score: 756158.6344, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7706, predictive_accuracy: 0.7668, prior_entropy: 3.3219, recall: 0.7668, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.216, root_relative_squared_error: 0.7198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.7668, kappa: 0.7409, kb_relative_information_score: 756159.6802, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7706, predictive_accuracy: 0.7668, prior_entropy: 3.3219, recall: 0.7668, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.216, root_relative_squared_error: 0.7198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.8167, kappa: 0.7964, kb_relative_information_score: 808390.038, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.817, predictive_accuracy: 0.8168, prior_entropy: 3.3219, recall: 0.8168, relative_absolute_error: 0.2036, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.6381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.8149, kappa: 0.7946, kb_relative_information_score: 806727.2836, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8151, predictive_accuracy: 0.8152, prior_entropy: 3.3219, recall: 0.8152, relative_absolute_error: 0.2054, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.7668, kappa: 0.7409, kb_relative_information_score: 756158.6344, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7706, predictive_accuracy: 0.7668, prior_entropy: 3.3219, recall: 0.7668, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.216, root_relative_squared_error: 0.7198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.8157, kappa: 0.7958, kb_relative_information_score: 807821.146, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8157, predictive_accuracy: 0.8162, prior_entropy: 3.3219, recall: 0.8162, relative_absolute_error: 0.2042, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.8388, kappa: 0.821, kb_relative_information_score: 831613.1746, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8408, predictive_accuracy: 0.839, prior_entropy: 3.3219, recall: 0.839, relative_absolute_error: 0.1789, 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: 0.9106, f_measure: 0.8389, kappa: 0.8211, kb_relative_information_score: 831675.9201, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8409, predictive_accuracy: 0.839, prior_entropy: 3.3219, recall: 0.839, relative_absolute_error: 0.1788, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.5981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8389, kappa: 0.8211, kb_relative_information_score: 831675.9201, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8409, predictive_accuracy: 0.839, prior_entropy: 3.3219, recall: 0.839, relative_absolute_error: 0.1788, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.5981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8389, kappa: 0.8211, kb_relative_information_score: 831673.8286, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8409, predictive_accuracy: 0.839, prior_entropy: 3.3219, recall: 0.839, relative_absolute_error: 0.1788, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.5981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8389, kappa: 0.8211, kb_relative_information_score: 831644.5474, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8409, predictive_accuracy: 0.839, prior_entropy: 3.3219, recall: 0.839, relative_absolute_error: 0.1789, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.5981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.8157, kappa: 0.7958, kb_relative_information_score: 828829.4171, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8157, predictive_accuracy: 0.8162, prior_entropy: 3.3219, recall: 0.8162, relative_absolute_error: 0.2205, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.8166, kappa: 0.7971, kb_relative_information_score: 812215.879, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8181, predictive_accuracy: 0.8174, prior_entropy: 3.3219, recall: 0.8174, relative_absolute_error: 0.2642, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.5573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.817, kappa: 0.7975, kb_relative_information_score: 825593.7875, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8184, predictive_accuracy: 0.8178, prior_entropy: 3.3219, recall: 0.8178, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.168, root_relative_squared_error: 0.5601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.8131, kappa: 0.7935, kb_relative_information_score: 792178.8325, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.815, predictive_accuracy: 0.8142, prior_entropy: 3.3219, recall: 0.8142, relative_absolute_error: 0.3032, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.5615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.8127, kappa: 0.7927, kb_relative_information_score: 768522.0987, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8147, predictive_accuracy: 0.8135, prior_entropy: 3.3219, recall: 0.8135, relative_absolute_error: 0.3508, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.5649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.8128, kappa: 0.7927, kb_relative_information_score: 777870.2377, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8146, predictive_accuracy: 0.8135, prior_entropy: 3.3219, recall: 0.8135, relative_absolute_error: 0.3327, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.5624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.7933, kappa: 0.7691, kb_relative_information_score: 678786.2006, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8053, predictive_accuracy: 0.7923, prior_entropy: 3.3219, recall: 0.7923, relative_absolute_error: 0.5035, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.6417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.8013, kappa: 0.778, kb_relative_information_score: 730208.748, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8096, predictive_accuracy: 0.8003, prior_entropy: 3.3219, recall: 0.8003, relative_absolute_error: 0.4215, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.6044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.8041, kappa: 0.7835, kb_relative_information_score: 780106.7049, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8076, predictive_accuracy: 0.8052, prior_entropy: 3.3219, recall: 0.8052, relative_absolute_error: 0.3236, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.8077, kappa: 0.787, kb_relative_information_score: 808546.5265, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8105, predictive_accuracy: 0.8084, prior_entropy: 3.3219, recall: 0.8084, relative_absolute_error: 0.2702, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.5624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.8105, kappa: 0.7897, kb_relative_information_score: 824963.202, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8136, predictive_accuracy: 0.8108, prior_entropy: 3.3219, recall: 0.8108, relative_absolute_error: 0.2336, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.5613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.787, kappa: 0.7655, kb_relative_information_score: 828560.682, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8023, predictive_accuracy: 0.7891, prior_entropy: 3.3219, recall: 0.7891, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.8157, kappa: 0.7958, kb_relative_information_score: 807821.146, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8157, predictive_accuracy: 0.8162, prior_entropy: 3.3219, recall: 0.8162, relative_absolute_error: 0.2042, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8217, kappa: 0.8026, kb_relative_information_score: 814258.8291, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8219, predictive_accuracy: 0.8224, prior_entropy: 3.3219, recall: 0.8224, relative_absolute_error: 0.1973, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.6283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.8387, kappa: 0.8209, kb_relative_information_score: 831455.2653, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8405, predictive_accuracy: 0.8388, prior_entropy: 3.3219, recall: 0.8388, relative_absolute_error: 0.1791, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.5985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.8386, kappa: 0.8208, kb_relative_information_score: 831385.1995, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8405, predictive_accuracy: 0.8388, prior_entropy: 3.3219, recall: 0.8388, relative_absolute_error: 0.1792, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.5986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8218, kappa: 0.8026, kb_relative_information_score: 814260.9206, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8219, predictive_accuracy: 0.8224, prior_entropy: 3.3219, recall: 0.8224, relative_absolute_error: 0.1973, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.6282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8218, kappa: 0.8026, kb_relative_information_score: 814260.9206, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8219, predictive_accuracy: 0.8224, prior_entropy: 3.3219, recall: 0.8224, relative_absolute_error: 0.1973, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.6282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.8203, kappa: 0.8008, kb_relative_information_score: 812533.3292, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8205, predictive_accuracy: 0.8207, prior_entropy: 3.3219, recall: 0.8207, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.6312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.8234, kappa: 0.8043, kb_relative_information_score: 815809.6874, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8235, predictive_accuracy: 0.8239, prior_entropy: 3.3219, recall: 0.8239, relative_absolute_error: 0.1957, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.6256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.8204, kappa: 0.8009, kb_relative_information_score: 812624.3101, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8206, predictive_accuracy: 0.8208, prior_entropy: 3.3219, recall: 0.8208, relative_absolute_error: 0.1991, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.8156, kappa: 0.7957, kb_relative_information_score: 807764.6751, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8157, predictive_accuracy: 0.8162, prior_entropy: 3.3219, recall: 0.8162, relative_absolute_error: 0.2042, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.6391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.8203, kappa: 0.8008, kb_relative_information_score: 812533.3292, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8205, predictive_accuracy: 0.8207, prior_entropy: 3.3219, recall: 0.8207, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.6312,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.8148, kappa: 0.7945, kb_relative_information_score: 809634.0197, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.815, predictive_accuracy: 0.8151, prior_entropy: 3.3219, recall: 0.8151, relative_absolute_error: 0.238, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.5687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.6525, kappa: 0.6198, kb_relative_information_score: 622097.3536, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.6544, predictive_accuracy: 0.6579, prior_entropy: 3.3219, recall: 0.6579, relative_absolute_error: 0.5073, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.7285,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5398, f_measure: 0.0945, kappa: 0.0795, kb_relative_information_score: 137446.6727, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.0862, predictive_accuracy: 0.1752, prior_entropy: 3.3219, recall: 0.1752, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4062, root_relative_squared_error: 1.3539,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, f_measure: 0.7971, kappa: 0.7755, kb_relative_information_score: 788729.7972, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7986, predictive_accuracy: 0.798, prior_entropy: 3.3219, recall: 0.798, relative_absolute_error: 0.2245, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.201, root_relative_squared_error: 0.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.7849, kappa: 0.7637, kb_relative_information_score: 784231.6584, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.793, predictive_accuracy: 0.7875, prior_entropy: 3.3219, recall: 0.7875, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.5712,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0196, kb_relative_information_score: 63049.3933, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.0108, predictive_accuracy: 0.104, prior_entropy: 3.3219, recall: 0.104, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4233, root_relative_squared_error: 1.411,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.7873, kappa: 0.7648, kb_relative_information_score: 778651.8323, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.788, predictive_accuracy: 0.7883, prior_entropy: 3.3219, recall: 0.7883, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.6858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.8063, kappa: 0.7856, kb_relative_information_score: 798266.0598, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8066, predictive_accuracy: 0.8071, prior_entropy: 3.3219, recall: 0.8071, relative_absolute_error: 0.2143, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.6547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.8155, kappa: 0.7955, kb_relative_information_score: 807605.7199, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8155, predictive_accuracy: 0.816, prior_entropy: 3.3219, recall: 0.816, relative_absolute_error: 0.2044, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.6394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.8155, kappa: 0.7956, kb_relative_information_score: 807666.3739, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8156, predictive_accuracy: 0.8161, prior_entropy: 3.3219, recall: 0.8161, relative_absolute_error: 0.2044, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.6393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.8155, kappa: 0.7956, kb_relative_information_score: 807628.7266, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8155, predictive_accuracy: 0.816, prior_entropy: 3.3219, recall: 0.816, relative_absolute_error: 0.2044, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.6394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.8113, kappa: 0.791, kb_relative_information_score: 803360.9903, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8115, predictive_accuracy: 0.812, prior_entropy: 3.3219, recall: 0.812, relative_absolute_error: 0.2089, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.6464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8115, kappa: 0.7913, kb_relative_information_score: 803618.2466, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8117, predictive_accuracy: 0.8122, prior_entropy: 3.3219, recall: 0.8122, relative_absolute_error: 0.2087, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.8375, kappa: 0.8195, kb_relative_information_score: 828903.9199, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.838, predictive_accuracy: 0.8376, prior_entropy: 3.3219, recall: 0.8376, relative_absolute_error: 0.2399, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.5048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.8115, kappa: 0.7913, kb_relative_information_score: 803581.6451, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8117, predictive_accuracy: 0.8122, prior_entropy: 3.3219, recall: 0.8122, relative_absolute_error: 0.2087, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.6461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.8375, kappa: 0.8195, kb_relative_information_score: 828903.9199, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.838, predictive_accuracy: 0.8376, prior_entropy: 3.3219, recall: 0.8376, relative_absolute_error: 0.2399, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.5048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.7989, kappa: 0.7776, kb_relative_information_score: 790755.4295, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7995, predictive_accuracy: 0.7999, prior_entropy: 3.3219, recall: 0.7999, relative_absolute_error: 0.2223, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6668,

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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