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

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

Task 158 Supervised Data Stream Classification BNG(mfeat-zernike,nominal,1000000) 46 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.6658, kappa: 0.6315, kb_relative_information_score: 629087.2757, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.6731, predictive_accuracy: 0.6684, prior_entropy: 3.3219, ram_hours: 0.0001, recall: 0.6684, relative_absolute_error: 0.5405, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.712, run_cpu_time: 911.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.7465, kappa: 0.7205, kb_relative_information_score: 757164.0807, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7449, predictive_accuracy: 0.7485, prior_entropy: 3.3219, ram_hours: 0.0004, recall: 0.7485, relative_absolute_error: 0.342, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.185, root_relative_squared_error: 0.6167, run_cpu_time: 666.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.5855, kappa: 0.5425, kb_relative_information_score: 573034.6986, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.5846, predictive_accuracy: 0.5883, prior_entropy: 3.3219, ram_hours: 0, recall: 0.5883, relative_absolute_error: 0.5779, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.229, root_relative_squared_error: 0.7634, run_cpu_time: 39.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.018, kb_relative_information_score: 58331.9813, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.0099, predictive_accuracy: 0.0995, prior_entropy: 3.3219, ram_hours: 0, recall: 0.0995, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4244, root_relative_squared_error: 1.4146, run_cpu_time: 22.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.6663, kappa: 0.6316, kb_relative_information_score: 629189.4617, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.6741, predictive_accuracy: 0.6684, prior_entropy: 3.3219, ram_hours: 0.0034, recall: 0.6684, relative_absolute_error: 0.5406, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.7118, run_cpu_time: 15410.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5485, f_measure: 0.1095, kappa: 0.0971, kb_relative_information_score: 150472.628, mean_absolute_error: 0.1625, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.1028, predictive_accuracy: 0.1876, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1876, relative_absolute_error: 0.9026, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4031, root_relative_squared_error: 1.3436, run_cpu_time: 19.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.7414, kappa: 0.7151, kb_relative_information_score: 765718.7948, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7403, predictive_accuracy: 0.7436, prior_entropy: 3.3219, ram_hours: 0, recall: 0.7436, relative_absolute_error: 0.307, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.6412, run_cpu_time: 59.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.7279, kappa: 0.7025, kb_relative_information_score: 733843.8789, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7251, predictive_accuracy: 0.7322, prior_entropy: 3.3219, ram_hours: 0, recall: 0.7322, relative_absolute_error: 0.3559, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.6595, run_cpu_time: 66.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5495, f_measure: 0.11, kappa: 0.0992, kb_relative_information_score: 152384.2727, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.1017, predictive_accuracy: 0.1895, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1895, relative_absolute_error: 0.9006, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4026, root_relative_squared_error: 1.3421, run_cpu_time: 18.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7395, kappa: 0.7128, kb_relative_information_score: 761434.5349, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7384, predictive_accuracy: 0.7415, prior_entropy: 3.3219, ram_hours: 0.0001, recall: 0.7415, relative_absolute_error: 0.3176, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.638, run_cpu_time: 646.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.7207, kappa: 0.6927, kb_relative_information_score: 272058.3909, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7197, predictive_accuracy: 0.7234, prior_entropy: 3.3219, ram_hours: 0, recall: 0.7234, relative_absolute_error: 0.9018, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.9195, run_cpu_time: 63.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.5874, kappa: 0.5426, kb_relative_information_score: 575516.7241, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.5904, predictive_accuracy: 0.5883, prior_entropy: 3.3219, ram_hours: 0, recall: 0.5883, relative_absolute_error: 0.5071, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.8616, run_cpu_time: 23.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.7225, kappa: 0.6952, kb_relative_information_score: 735043.513, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7199, predictive_accuracy: 0.7256, prior_entropy: 3.3219, ram_hours: 0, recall: 0.7256, relative_absolute_error: 0.3459, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.6688, run_cpu_time: 117.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.063, kappa: -0.0005, kb_relative_information_score: 814.7292, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.0926, predictive_accuracy: 0.0999, prior_entropy: 3.3219, ram_hours: 0, recall: 0.0999, 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: 28.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.018, kb_relative_information_score: 58277.346, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.0099, predictive_accuracy: 0.0995, prior_entropy: 3.3219, ram_hours: 0.0064, recall: 0.0995, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142, run_cpu_time: 99.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.3598, kappa: 0.3102, kb_relative_information_score: 322084.5927, mean_absolute_error: 0.1441, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.3802, predictive_accuracy: 0.3792, prior_entropy: 3.3219, ram_hours: 0.0001, recall: 0.3792, relative_absolute_error: 0.8008, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.9103, run_cpu_time: 108.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.7279, kappa: 0.7025, kb_relative_information_score: 733843.8789, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7251, predictive_accuracy: 0.7322, prior_entropy: 3.3219, ram_hours: 0, recall: 0.7322, relative_absolute_error: 0.3559, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.6595, run_cpu_time: 80.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.7639, kappa: 0.7411, kb_relative_information_score: 745538.3399, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7622, predictive_accuracy: 0.767, prior_entropy: 3.3219, ram_hours: 0.099, recall: 0.767, relative_absolute_error: 0.3937, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.6022, run_cpu_time: 1118.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.018, kb_relative_information_score: 58331.9813, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.0099, predictive_accuracy: 0.0995, prior_entropy: 3.3219, ram_hours: 0, recall: 0.0995, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4244, root_relative_squared_error: 1.4146, run_cpu_time: 20.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.7567, kappa: 0.7341, kb_relative_information_score: 751731.8643, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7539, predictive_accuracy: 0.7607, prior_entropy: 3.3219, ram_hours: 0.0014, recall: 0.7607, relative_absolute_error: 0.3733, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.5988, run_cpu_time: 439.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.7438, kappa: 0.7201, kb_relative_information_score: 744196.0633, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7406, predictive_accuracy: 0.7481, prior_entropy: 3.3219, ram_hours: 0.001, recall: 0.7481, relative_absolute_error: 0.3562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.629, run_cpu_time: 323.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0999, kappa: -0.0001, kb_relative_information_score: 58727.2776, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.0999, predictive_accuracy: 0.0999, prior_entropy: 3.3219, ram_hours: 0, recall: 0.0999, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4143, run_cpu_time: 20.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5777, f_measure: 0.1169, kappa: 0.1552, kb_relative_information_score: 204743.0029, mean_absolute_error: 0.1521, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.079, predictive_accuracy: 0.2396, prior_entropy: 3.3219, ram_hours: 0, recall: 0.2396, relative_absolute_error: 0.8449, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3899, root_relative_squared_error: 1.2995, run_cpu_time: 21.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.5665, kappa: 0.5282, kb_relative_information_score: 539603.7639, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.5692, predictive_accuracy: 0.5754, prior_entropy: 3.3219, ram_hours: 0, recall: 0.5754, relative_absolute_error: 0.5888, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.8176, run_cpu_time: 23.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.744, kappa: 0.7204, kb_relative_information_score: 744975.0365, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7409, predictive_accuracy: 0.7483, prior_entropy: 3.3219, recall: 0.7483, relative_absolute_error: 0.356, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.6272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.5874, kappa: 0.5426, kb_relative_information_score: 575516.7241, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.5904, predictive_accuracy: 0.5883, prior_entropy: 3.3219, recall: 0.5883, relative_absolute_error: 0.5071, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.8616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.7702, kappa: 0.7458, kb_relative_information_score: 278182.2668, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7703, predictive_accuracy: 0.7713, prior_entropy: 3.3219, recall: 0.7713, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.7374, kappa: 0.7103, kb_relative_information_score: 760440.6996, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7364, predictive_accuracy: 0.7393, prior_entropy: 3.3219, recall: 0.7393, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.193, root_relative_squared_error: 0.6435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.786, kappa: 0.7628, kb_relative_information_score: 273109.3322, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7856, predictive_accuracy: 0.7865, prior_entropy: 3.3219, recall: 0.7865, relative_absolute_error: 0.9018, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.9173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.7587, kappa: 0.7343, kb_relative_information_score: 705715.548, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7576, predictive_accuracy: 0.7608, prior_entropy: 3.3219, recall: 0.7608, relative_absolute_error: 0.4511, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.6291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.018, kb_relative_information_score: 58331.9813, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.0099, predictive_accuracy: 0.0995, prior_entropy: 3.3219, recall: 0.0995, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4244, root_relative_squared_error: 1.4146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.018, kb_relative_information_score: 58331.9813, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.0099, predictive_accuracy: 0.0995, prior_entropy: 3.3219, recall: 0.0995, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4244, root_relative_squared_error: 1.4146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.553, kappa: 0.5085, kb_relative_information_score: 524125.0282, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.6068, predictive_accuracy: 0.5577, prior_entropy: 3.3219, recall: 0.5577, relative_absolute_error: 0.5678, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2525, root_relative_squared_error: 0.8416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.7413, kappa: 0.715, kb_relative_information_score: 764887.0773, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7402, predictive_accuracy: 0.7435, prior_entropy: 3.3219, recall: 0.7435, relative_absolute_error: 0.309, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.6407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.7279, kappa: 0.7025, kb_relative_information_score: 733843.8789, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7251, predictive_accuracy: 0.7322, prior_entropy: 3.3219, recall: 0.7322, relative_absolute_error: 0.3559, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.6595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6259, f_measure: 0.2065, kappa: 0.1506, kb_relative_information_score: 246285.9048, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.2093, predictive_accuracy: 0.2355, prior_entropy: 3.3219, recall: 0.2355, relative_absolute_error: 0.8486, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3516, root_relative_squared_error: 1.1719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, f_measure: 0.1262, kappa: 0.1019, kb_relative_information_score: 186003.232, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.1677, predictive_accuracy: 0.1916, prior_entropy: 3.3219, recall: 0.1916, relative_absolute_error: 0.9411, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5508, f_measure: 0.1101, kappa: 0.0995, kb_relative_information_score: 152873.8631, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.1016, predictive_accuracy: 0.1898, prior_entropy: 3.3219, recall: 0.1898, relative_absolute_error: 0.9006, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4023, root_relative_squared_error: 1.3409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.7153, kappa: 0.6976, kb_relative_information_score: 722024.3907, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7121, predictive_accuracy: 0.7278, prior_entropy: 3.3219, recall: 0.7278, relative_absolute_error: 0.3201, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.7437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.7128, kappa: 0.6834, kb_relative_information_score: 674004.528, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7111, predictive_accuracy: 0.7151, prior_entropy: 3.3219, recall: 0.7151, relative_absolute_error: 0.4749, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.6639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5486, f_measure: 0.1095, kappa: 0.0971, kb_relative_information_score: 150474.5245, mean_absolute_error: 0.1625, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.1028, predictive_accuracy: 0.1876, prior_entropy: 3.3219, recall: 0.1876, relative_absolute_error: 0.9026, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4031, root_relative_squared_error: 1.3436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.756, kappa: 0.7319, kb_relative_information_score: 702207.4754, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7539, predictive_accuracy: 0.7587, prior_entropy: 3.3219, recall: 0.7587, relative_absolute_error: 0.4563, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.6238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.7054, kappa: 0.6755, kb_relative_information_score: 665572.2768, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7037, predictive_accuracy: 0.708, prior_entropy: 3.3219, recall: 0.708, relative_absolute_error: 0.4883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7245, f_measure: 0.119, kappa: 0.1551, kb_relative_information_score: 219086.442, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.1281, predictive_accuracy: 0.2395, prior_entropy: 3.3219, recall: 0.2395, relative_absolute_error: 0.9188, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.9585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5741, f_measure: 0.107, kappa: 0.0912, kb_relative_information_score: 146444.5665, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.104, predictive_accuracy: 0.1823, prior_entropy: 3.3219, recall: 0.1823, relative_absolute_error: 0.9174, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3977, root_relative_squared_error: 1.3258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.018, kb_relative_information_score: 58331.9813, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.0099, predictive_accuracy: 0.0995, prior_entropy: 3.3219, recall: 0.0995, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4244, root_relative_squared_error: 1.4146,

    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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