OpenML
Supervised Classification on fri_c1_250_10

Supervised Classification on fri_c1_250_10

Task 3798 Supervised Classification fri_c1_250_10 580 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.7159, kappa: 0.4231, kb_relative_information_score: 62.9921, mean_absolute_error: 0.3783, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7157, predictive_accuracy: 0.716, prior_entropy: 0.9898, recall: 0.716, relative_absolute_error: 0.7676, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4663, root_relative_squared_error: 0.9394, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7303, f_measure: 0.6675, kappa: 0.3243, kb_relative_information_score: 58.2514, mean_absolute_error: 0.3867, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6671, predictive_accuracy: 0.668, prior_entropy: 0.9898, recall: 0.668, relative_absolute_error: 0.7847, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9351, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, f_measure: 0.7159, kappa: 0.4231, kb_relative_information_score: 63.0765, mean_absolute_error: 0.3781, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7157, predictive_accuracy: 0.716, prior_entropy: 0.9898, recall: 0.716, relative_absolute_error: 0.7673, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9392, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.8204, kappa: 0.6365, kb_relative_information_score: 158.0904, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8214, predictive_accuracy: 0.82, prior_entropy: 0.9898, recall: 0.82, relative_absolute_error: 0.3652, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.8676, kappa: 0.7308, kb_relative_information_score: 182.5886, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.868, predictive_accuracy: 0.868, prior_entropy: 0.9898, recall: 0.868, relative_absolute_error: 0.2678, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7303, f_measure: 0.6675, kappa: 0.3243, kb_relative_information_score: 58.2514, mean_absolute_error: 0.3867, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6671, predictive_accuracy: 0.668, prior_entropy: 0.9898, recall: 0.668, relative_absolute_error: 0.7847, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9351, scimark_benchmark: 1887.4343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.8477, kappa: 0.6904, kb_relative_information_score: 167.9183, mean_absolute_error: 0.1634, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8478, predictive_accuracy: 0.848, prior_entropy: 0.9898, recall: 0.848, relative_absolute_error: 0.3316, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.748, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8353, kappa: 0.6649, kb_relative_information_score: 164.746, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.836, predictive_accuracy: 0.836, prior_entropy: 0.9898, recall: 0.836, relative_absolute_error: 0.3413, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.386, root_relative_squared_error: 0.7777, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.8955, kappa: 0.7873, kb_relative_information_score: 169.8629, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8969, predictive_accuracy: 0.896, prior_entropy: 0.9898, recall: 0.896, relative_absolute_error: 0.3417, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.5838, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.8918, kappa: 0.7802, kb_relative_information_score: 147.2732, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8919, predictive_accuracy: 0.892, prior_entropy: 0.9898, recall: 0.892, relative_absolute_error: 0.4521, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.5964, scimark_benchmark: 1806.5905, usercpu_time_millis: 46.8003, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.8922, kappa: 0.7819, kb_relative_information_score: 193.5764, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8932, predictive_accuracy: 0.892, prior_entropy: 0.9898, recall: 0.892, relative_absolute_error: 0.2261, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.6592, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7032, f_measure: 0.7079, kappa: 0.4069, kb_relative_information_score: 100.2588, mean_absolute_error: 0.2938, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7077, predictive_accuracy: 0.708, prior_entropy: 0.9898, recall: 0.708, relative_absolute_error: 0.5962, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.538, root_relative_squared_error: 1.0838, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7303, f_measure: 0.6675, kappa: 0.3243, kb_relative_information_score: 58.2514, mean_absolute_error: 0.3867, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6671, predictive_accuracy: 0.668, prior_entropy: 0.9898, recall: 0.668, relative_absolute_error: 0.7847, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9351, scimark_benchmark: 1877.5305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, f_measure: 0.7159, kappa: 0.4231, kb_relative_information_score: 63.0765, mean_absolute_error: 0.3781, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7157, predictive_accuracy: 0.716, prior_entropy: 0.9898, recall: 0.716, relative_absolute_error: 0.7673, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9392, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: -0.0052, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9898, recall: 0.56, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4964, root_relative_squared_error: 1, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.8997, kappa: 0.7961, kb_relative_information_score: 198.9207, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.9002, predictive_accuracy: 0.9, prior_entropy: 0.9898, recall: 0.9, relative_absolute_error: 0.2029, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6371, usercpu_time_millis: 392.102, usercpu_time_millis_testing: 6.413, usercpu_time_millis_training: 385.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.8134, kappa: 0.62, kb_relative_information_score: 156.0489, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8196, predictive_accuracy: 0.816, prior_entropy: 0.9898, recall: 0.816, relative_absolute_error: 0.3733, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8641, usercpu_time_millis: 169.647, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 169.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.8005, kappa: 0.5965, kb_relative_information_score: 147.8828, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8019, predictive_accuracy: 0.8, prior_entropy: 0.9898, recall: 0.8, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9009, usercpu_time_millis: 18.641, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 18.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.6953, kappa: 0.3807, kb_relative_information_score: 94.8035, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.695, predictive_accuracy: 0.696, prior_entropy: 0.9898, recall: 0.696, relative_absolute_error: 0.6168, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5514, root_relative_squared_error: 1.1108, usercpu_time_millis: 0.559, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.6789, kappa: 0.3468, kb_relative_information_score: 86.6375, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6785, predictive_accuracy: 0.68, prior_entropy: 0.9898, recall: 0.68, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1396, usercpu_time_millis: 0.326, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7052, f_measure: 0.7084, kappa: 0.4092, kb_relative_information_score: 100.928, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.709, predictive_accuracy: 0.708, prior_entropy: 0.9898, recall: 0.708, relative_absolute_error: 0.5925, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5404, root_relative_squared_error: 1.0886, usercpu_time_millis: 9.932, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 9.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.8043, kappa: 0.6034, kb_relative_information_score: 149.9244, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8047, predictive_accuracy: 0.804, prior_entropy: 0.9898, recall: 0.804, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8919, usercpu_time_millis: 3.572, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 3.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.8755, kappa: 0.7466, kb_relative_information_score: 186.6716, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8764, predictive_accuracy: 0.876, prior_entropy: 0.9898, recall: 0.876, relative_absolute_error: 0.2516, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7094, usercpu_time_millis: 12.307, usercpu_time_millis_testing: 1.893, usercpu_time_millis_training: 10.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5795, f_measure: 0.5792, kappa: 0.1681, kb_relative_information_score: 51.9317, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6137, predictive_accuracy: 0.612, prior_entropy: 0.9898, recall: 0.612, relative_absolute_error: 0.7872, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2549, usercpu_time_millis: 0.244, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6734, f_measure: 0.6793, kappa: 0.3481, kb_relative_information_score: 86.6375, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6789, predictive_accuracy: 0.68, prior_entropy: 0.9898, recall: 0.68, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1396, usercpu_time_millis: 0.155, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, f_measure: 0.6945, kappa: 0.3783, kb_relative_information_score: 94.8035, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6944, predictive_accuracy: 0.696, prior_entropy: 0.9898, recall: 0.696, relative_absolute_error: 0.6168, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5514, root_relative_squared_error: 1.1108, usercpu_time_millis: 0.318, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.8314, kappa: 0.6571, kb_relative_information_score: 164.2149, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8318, predictive_accuracy: 0.832, prior_entropy: 0.9898, recall: 0.832, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8257, usercpu_time_millis: 0.199, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8915, kappa: 0.7793, kb_relative_information_score: 194.8376, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8925, predictive_accuracy: 0.892, prior_entropy: 0.9898, recall: 0.892, relative_absolute_error: 0.2191, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.6621, usercpu_time_millis: 1.872, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 1.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.6983, kappa: 0.3859, kb_relative_information_score: 96.845, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6984, predictive_accuracy: 0.7, prior_entropy: 0.9898, recall: 0.7, relative_absolute_error: 0.6087, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1034, usercpu_time_millis: 0.67, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8915, kappa: 0.7793, kb_relative_information_score: 194.8376, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8925, predictive_accuracy: 0.892, prior_entropy: 0.9898, recall: 0.892, relative_absolute_error: 0.2191, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.6621, usercpu_time_millis: 3.059, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 2.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6237, f_measure: 0.6307, kappa: 0.2489, kb_relative_information_score: 62.1393, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6301, predictive_accuracy: 0.632, prior_entropy: 0.9898, recall: 0.632, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6066, root_relative_squared_error: 1.2221, usercpu_time_millis: 0.18, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6805, f_measure: 0.6869, kappa: 0.3632, kb_relative_information_score: 90.7205, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6866, predictive_accuracy: 0.688, prior_entropy: 0.9898, recall: 0.688, relative_absolute_error: 0.633, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5586, root_relative_squared_error: 1.1253, usercpu_time_millis: 0.152, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5786, f_measure: 0.5549, kappa: 0.1708, kb_relative_information_score: 58.0563, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6837, predictive_accuracy: 0.624, prior_entropy: 0.9898, recall: 0.624, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.2353, usercpu_time_millis: 1.34, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 1.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.6983, kappa: 0.3859, kb_relative_information_score: 96.845, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6984, predictive_accuracy: 0.7, prior_entropy: 0.9898, recall: 0.7, relative_absolute_error: 0.6087, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1034, usercpu_time_millis: 0.145, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, f_measure: 0.8483, kappa: 0.6928, kb_relative_information_score: 172.381, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8489, predictive_accuracy: 0.848, prior_entropy: 0.9898, recall: 0.848, relative_absolute_error: 0.3084, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7854, usercpu_time_millis: 1.281, usercpu_time_millis_testing: 0.453, usercpu_time_millis_training: 0.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6789, f_measure: 0.6838, kappa: 0.3581, kb_relative_information_score: 88.679, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6837, predictive_accuracy: 0.684, prior_entropy: 0.9898, recall: 0.684, relative_absolute_error: 0.6412, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.1325, usercpu_time_millis: 14.348, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 14.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, f_measure: 0.7758, kappa: 0.5446, kb_relative_information_score: 135.6338, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7756, predictive_accuracy: 0.776, prior_entropy: 0.9898, recall: 0.776, relative_absolute_error: 0.4545, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9535, usercpu_time_millis: 1.585, usercpu_time_millis_testing: 0.616, usercpu_time_millis_training: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4847, kb_relative_information_score: -11.3552, mean_absolute_error: 0.512, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.5072, predictive_accuracy: 0.488, prior_entropy: 0.9898, recall: 0.488, relative_absolute_error: 1.0388, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.7155, root_relative_squared_error: 1.4415, usercpu_time_millis: 0.144, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.703, kappa: 0.3958, kb_relative_information_score: 98.8865, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7027, predictive_accuracy: 0.704, prior_entropy: 0.9898, recall: 0.704, relative_absolute_error: 0.6006, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.096, usercpu_time_millis: 0.315, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7114, f_measure: 0.7159, kappa: 0.4231, kb_relative_information_score: 105.0111, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7157, predictive_accuracy: 0.716, prior_entropy: 0.9898, recall: 0.716, relative_absolute_error: 0.5762, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5329, root_relative_squared_error: 1.0736, usercpu_time_millis: 0.289, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 0.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.6983, kappa: 0.3859, kb_relative_information_score: 96.845, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6984, predictive_accuracy: 0.7, prior_entropy: 0.9898, recall: 0.7, relative_absolute_error: 0.6087, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1034, usercpu_time_millis: 0.16, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, f_measure: 0.8202, kappa: 0.6358, kb_relative_information_score: 158.0904, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8207, predictive_accuracy: 0.82, prior_entropy: 0.9898, recall: 0.82, relative_absolute_error: 0.3652, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8547, usercpu_time_millis: 7.347, usercpu_time_millis_testing: 0.726, usercpu_time_millis_training: 6.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.6983, kappa: 0.3859, kb_relative_information_score: 96.845, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6984, predictive_accuracy: 0.7, prior_entropy: 0.9898, recall: 0.7, relative_absolute_error: 0.6087, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1034, usercpu_time_millis: 0.568, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 0.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.6935, kappa: 0.3758, kb_relative_information_score: 94.8035, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6942, predictive_accuracy: 0.696, prior_entropy: 0.9898, recall: 0.696, relative_absolute_error: 0.6168, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5514, root_relative_squared_error: 1.1108, usercpu_time_millis: 0.742, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7445, f_measure: 0.7508, kappa: 0.4928, kb_relative_information_score: 123.3847, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7511, predictive_accuracy: 0.752, prior_entropy: 0.9898, recall: 0.752, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0032, usercpu_time_millis: 1.014, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6831, f_measure: 0.6902, kappa: 0.3695, kb_relative_information_score: 92.762, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6903, predictive_accuracy: 0.692, prior_entropy: 0.9898, recall: 0.692, relative_absolute_error: 0.6249, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.555, root_relative_squared_error: 1.118, usercpu_time_millis: 0.038, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.6983, kappa: 0.3859, kb_relative_information_score: 96.845, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6984, predictive_accuracy: 0.7, prior_entropy: 0.9898, recall: 0.7, relative_absolute_error: 0.6087, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1034, usercpu_time_millis: 0.047, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6669, f_measure: 0.6741, kappa: 0.3367, kb_relative_information_score: 84.5959, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.674, predictive_accuracy: 0.676, prior_entropy: 0.9898, recall: 0.676, relative_absolute_error: 0.6574, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5692, root_relative_squared_error: 1.1467, usercpu_time_millis: 0.396, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, f_measure: 0.6945, kappa: 0.3783, kb_relative_information_score: 94.8035, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6944, predictive_accuracy: 0.696, prior_entropy: 0.9898, recall: 0.696, relative_absolute_error: 0.6168, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5514, root_relative_squared_error: 1.1108, usercpu_time_millis: 0.193, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.6897, kappa: 0.3682, kb_relative_information_score: 92.762, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6902, predictive_accuracy: 0.692, prior_entropy: 0.9898, recall: 0.692, relative_absolute_error: 0.6249, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.555, root_relative_squared_error: 1.118, usercpu_time_millis: 0.409, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 0.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.7152, kappa: 0.4209, kb_relative_information_score: 105.0111, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.715, predictive_accuracy: 0.716, prior_entropy: 0.9898, recall: 0.716, relative_absolute_error: 0.5762, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5329, root_relative_squared_error: 1.0736, usercpu_time_millis: 0.151, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 0.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6841, f_measure: 0.6907, kappa: 0.3707, kb_relative_information_score: 92.762, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6905, predictive_accuracy: 0.692, prior_entropy: 0.9898, recall: 0.692, relative_absolute_error: 0.6249, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.555, root_relative_squared_error: 1.118, usercpu_time_millis: 0.133, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, f_measure: 0.8551, kappa: 0.7049, kb_relative_information_score: 176.464, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8569, predictive_accuracy: 0.856, prior_entropy: 0.9898, recall: 0.856, relative_absolute_error: 0.2922, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7645, usercpu_time_millis: 1.584, usercpu_time_millis_testing: 0.517, usercpu_time_millis_training: 1.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.8353, kappa: 0.6649, kb_relative_information_score: 166.2565, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.836, predictive_accuracy: 0.836, prior_entropy: 0.9898, recall: 0.836, relative_absolute_error: 0.3328, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8158, usercpu_time_millis: 2.226, usercpu_time_millis_testing: 0.86, usercpu_time_millis_training: 1.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7032, f_measure: 0.7079, kappa: 0.4069, kb_relative_information_score: 100.928, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7077, predictive_accuracy: 0.708, prior_entropy: 0.9898, recall: 0.708, relative_absolute_error: 0.5925, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5404, root_relative_squared_error: 1.0886, usercpu_time_millis: 1.607, usercpu_time_millis_testing: 0.523, usercpu_time_millis_training: 1.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6851, f_measure: 0.6911, kappa: 0.3719, kb_relative_information_score: 92.762, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6908, predictive_accuracy: 0.692, prior_entropy: 0.9898, recall: 0.692, relative_absolute_error: 0.6249, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.555, root_relative_squared_error: 1.118, usercpu_time_millis: 1.401, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 1.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: 25.3921, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9898, recall: 0.56, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363, usercpu_time_millis: 0.375, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.8958, kappa: 0.7881, kb_relative_information_score: 196.8792, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.896, predictive_accuracy: 0.896, prior_entropy: 0.9898, recall: 0.896, relative_absolute_error: 0.211, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6497, usercpu_time_millis: 1.177, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 1.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.9197, kappa: 0.8367, kb_relative_information_score: 209.1282, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.9205, predictive_accuracy: 0.92, prior_entropy: 0.9898, recall: 0.92, relative_absolute_error: 0.1623, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.5698, usercpu_time_millis: 59.226, usercpu_time_millis_testing: 3.772, usercpu_time_millis_training: 55.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8276, f_measure: 0.8316, kappa: 0.6578, kb_relative_information_score: 164.2149, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8317, predictive_accuracy: 0.832, prior_entropy: 0.9898, recall: 0.832, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8257, usercpu_time_millis: 11.048, usercpu_time_millis_testing: 0.84, usercpu_time_millis_training: 10.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, f_measure: 0.733, kappa: 0.463, kb_relative_information_score: 113.1771, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7379, predictive_accuracy: 0.732, prior_entropy: 0.9898, recall: 0.732, relative_absolute_error: 0.5438, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5177, root_relative_squared_error: 1.0429, usercpu_time_millis: 1.55, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 1.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7692, f_measure: 0.7437, kappa: 0.5128, kb_relative_information_score: 121.3432, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8065, predictive_accuracy: 0.748, prior_entropy: 0.9898, recall: 0.748, relative_absolute_error: 0.5113, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0113, usercpu_time_millis: 0.721, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 0.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5695, f_measure: 0.5768, kappa: 0.1437, kb_relative_information_score: 41.7242, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.5843, predictive_accuracy: 0.592, prior_entropy: 0.9898, recall: 0.592, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6387, root_relative_squared_error: 1.2868, usercpu_time_millis: 0.245, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.8759, kappa: 0.7481, kb_relative_information_score: 186.6716, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8759, predictive_accuracy: 0.876, prior_entropy: 0.9898, recall: 0.876, relative_absolute_error: 0.2516, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7094, usercpu_time_millis: 18.999, usercpu_time_millis_testing: 2.959, usercpu_time_millis_training: 16.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.6983, kappa: 0.3859, kb_relative_information_score: 96.845, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6984, predictive_accuracy: 0.7, prior_entropy: 0.9898, recall: 0.7, relative_absolute_error: 0.6087, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1034, usercpu_time_millis: 0.71, usercpu_time_millis_testing: 0.546, usercpu_time_millis_training: 0.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.6846, kappa: 0.3619, kb_relative_information_score: 88.679, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6858, predictive_accuracy: 0.684, prior_entropy: 0.9898, recall: 0.684, relative_absolute_error: 0.6412, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.1325, usercpu_time_millis: 0.651, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.8163, kappa: 0.6281, kb_relative_information_score: 156.0489, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.817, predictive_accuracy: 0.816, prior_entropy: 0.9898, recall: 0.816, relative_absolute_error: 0.3733, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8641, usercpu_time_millis: 1.465, usercpu_time_millis_testing: 0.192, usercpu_time_millis_training: 1.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.8234, kappa: 0.6408, kb_relative_information_score: 149.7056, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8237, predictive_accuracy: 0.824, prior_entropy: 0.9898, recall: 0.824, relative_absolute_error: 0.4107, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.72, scimark_benchmark: 948.1838, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.8345, kappa: 0.6629, kb_relative_information_score: 139.598, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8377, predictive_accuracy: 0.836, prior_entropy: 0.9898, recall: 0.836, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7597, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8404, kappa: 0.6772, kb_relative_information_score: 141.9178, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8417, predictive_accuracy: 0.84, prior_entropy: 0.9898, recall: 0.84, relative_absolute_error: 0.457, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.6724, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.8389, kappa: 0.6721, kb_relative_information_score: 155.3896, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8407, predictive_accuracy: 0.84, prior_entropy: 0.9898, recall: 0.84, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.6597, scimark_benchmark: 851.2074, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.6789, kappa: 0.3468, kb_relative_information_score: 86.6375, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6785, predictive_accuracy: 0.68, prior_entropy: 0.9898, recall: 0.68, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1396, scimark_benchmark: 931.771, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.6789, kappa: 0.3468, kb_relative_information_score: 86.6375, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6785, predictive_accuracy: 0.68, prior_entropy: 0.9898, recall: 0.68, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1396, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8709, kappa: 0.7372, kb_relative_information_score: 151.8704, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.874, predictive_accuracy: 0.872, prior_entropy: 0.9898, recall: 0.872, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6715, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.872, kappa: 0.7403, kb_relative_information_score: 143.6268, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.872, predictive_accuracy: 0.872, prior_entropy: 0.9898, recall: 0.872, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.6518, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.6822, kappa: 0.3531, kb_relative_information_score: 56.1921, mean_absolute_error: 0.3915, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6822, predictive_accuracy: 0.684, prior_entropy: 0.9898, recall: 0.684, relative_absolute_error: 0.7943, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4573, root_relative_squared_error: 0.9212, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8709, kappa: 0.7372, kb_relative_information_score: 151.8704, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.874, predictive_accuracy: 0.872, prior_entropy: 0.9898, recall: 0.872, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6715, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8837, kappa: 0.7635, kb_relative_information_score: 163.6607, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8841, predictive_accuracy: 0.884, prior_entropy: 0.9898, recall: 0.884, relative_absolute_error: 0.3691, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6466, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.6789, kappa: 0.3468, kb_relative_information_score: 86.6375, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6785, predictive_accuracy: 0.68, prior_entropy: 0.9898, recall: 0.68, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1396, scimark_benchmark: 932.438, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.6789, kappa: 0.3468, kb_relative_information_score: 86.6375, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6785, predictive_accuracy: 0.68, prior_entropy: 0.9898, recall: 0.68, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1396, scimark_benchmark: 932.438, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8709, kappa: 0.7372, kb_relative_information_score: 151.8704, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.874, predictive_accuracy: 0.872, prior_entropy: 0.9898, recall: 0.872, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6715, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8709, kappa: 0.7372, kb_relative_information_score: 151.8704, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.874, predictive_accuracy: 0.872, prior_entropy: 0.9898, recall: 0.872, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6715, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8837, kappa: 0.7635, kb_relative_information_score: 163.6607, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8841, predictive_accuracy: 0.884, prior_entropy: 0.9898, recall: 0.884, relative_absolute_error: 0.3691, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6466, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.8918, kappa: 0.7802, kb_relative_information_score: 147.2732, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8919, predictive_accuracy: 0.892, prior_entropy: 0.9898, recall: 0.892, relative_absolute_error: 0.4521, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.5964, scimark_benchmark: 943.1009, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.8345, kappa: 0.6629, kb_relative_information_score: 139.598, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8377, predictive_accuracy: 0.836, prior_entropy: 0.9898, recall: 0.836, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7597, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8404, kappa: 0.6772, kb_relative_information_score: 141.9178, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8417, predictive_accuracy: 0.84, prior_entropy: 0.9898, recall: 0.84, relative_absolute_error: 0.457, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.6724, scimark_benchmark: 901.6243, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.8389, kappa: 0.6721, kb_relative_information_score: 155.3896, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8407, predictive_accuracy: 0.84, prior_entropy: 0.9898, recall: 0.84, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.6597, scimark_benchmark: 944.0133, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.6789, kappa: 0.3468, kb_relative_information_score: 86.6375, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6785, predictive_accuracy: 0.68, prior_entropy: 0.9898, recall: 0.68, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1396, scimark_benchmark: 926.5462, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.6789, kappa: 0.3468, kb_relative_information_score: 86.6375, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6785, predictive_accuracy: 0.68, prior_entropy: 0.9898, recall: 0.68, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1396, scimark_benchmark: 934.5964, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8503, kappa: 0.6952, kb_relative_information_score: 147.8792, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8551, predictive_accuracy: 0.852, prior_entropy: 0.9898, recall: 0.852, relative_absolute_error: 0.4281, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.6863, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8709, kappa: 0.7372, kb_relative_information_score: 151.8704, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.874, predictive_accuracy: 0.872, prior_entropy: 0.9898, recall: 0.872, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6715, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8709, kappa: 0.7372, kb_relative_information_score: 151.8704, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.874, predictive_accuracy: 0.872, prior_entropy: 0.9898, recall: 0.872, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6715, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.872, kappa: 0.7403, kb_relative_information_score: 143.6268, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.872, predictive_accuracy: 0.872, prior_entropy: 0.9898, recall: 0.872, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.6518, scimark_benchmark: 941.4991, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.6822, kappa: 0.3531, kb_relative_information_score: 56.1899, mean_absolute_error: 0.3915, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6822, predictive_accuracy: 0.684, prior_entropy: 0.9898, recall: 0.684, relative_absolute_error: 0.7943, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4573, root_relative_squared_error: 0.9212, scimark_benchmark: 1051.249, usercpu_time_millis: 1160, usercpu_time_millis_training: 1160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8709, kappa: 0.7372, kb_relative_information_score: 151.8704, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.874, predictive_accuracy: 0.872, prior_entropy: 0.9898, recall: 0.872, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6715, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8837, kappa: 0.7635, kb_relative_information_score: 163.6607, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8841, predictive_accuracy: 0.884, prior_entropy: 0.9898, recall: 0.884, relative_absolute_error: 0.3691, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6466, scimark_benchmark: 941.3057, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.8918, kappa: 0.7802, kb_relative_information_score: 147.2732, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8919, predictive_accuracy: 0.892, prior_entropy: 0.9898, recall: 0.892, relative_absolute_error: 0.4521, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.5964, scimark_benchmark: 938.988, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.8837, kappa: 0.7635, kb_relative_information_score: 106.4611, mean_absolute_error: 0.3095, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8841, predictive_accuracy: 0.884, prior_entropy: 0.9898, recall: 0.884, relative_absolute_error: 0.6279, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.6995, scimark_benchmark: 901.6243, usercpu_time_millis: 1410, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.8559, kappa: 0.7072, kb_relative_information_score: 103.2395, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8558, predictive_accuracy: 0.856, prior_entropy: 0.9898, recall: 0.856, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3532, root_relative_squared_error: 0.7115, scimark_benchmark: 935.5664, usercpu_time_millis: 610, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.8755, kappa: 0.7466, kb_relative_information_score: 101.6858, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8764, predictive_accuracy: 0.876, prior_entropy: 0.9898, recall: 0.876, relative_absolute_error: 0.6422, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.7196, scimark_benchmark: 941.589, usercpu_time_millis: 300, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 230,

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

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs