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
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

580 Runs

Fetching data
Fetching data
Search runs in more detail
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: 914.4835, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
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: 936.6084, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,
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: 1331.6907, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.8044, kappa: 0.6042, kb_relative_information_score: 149.9244, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8054, 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, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.832, kappa: 0.6591, kb_relative_information_score: 139.0088, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.832, predictive_accuracy: 0.832, prior_entropy: 0.9898, recall: 0.832, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.765, scimark_benchmark: 1073.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.8228, kappa: 0.6393, kb_relative_information_score: 135.5508, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8244, predictive_accuracy: 0.824, prior_entropy: 0.9898, recall: 0.824, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.7895, scimark_benchmark: 1354.2491, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.8351, kappa: 0.6643, kb_relative_information_score: 166.2565, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8363, 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, scimark_benchmark: 1330.2678, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5114, f_measure: 0.3213, kappa: 0.0202, kb_relative_information_score: -27.6873, mean_absolute_error: 0.544, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.5882, predictive_accuracy: 0.456, prior_entropy: 0.9898, recall: 0.456, relative_absolute_error: 1.1038, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.7376, root_relative_squared_error: 1.4859, scimark_benchmark: 1287.514, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8483, kappa: 0.6928, kb_relative_information_score: 167.7769, mean_absolute_error: 0.164, 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: 0.3328, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.7465, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.8401, kappa: 0.676, kb_relative_information_score: 168.298, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8404, predictive_accuracy: 0.84, prior_entropy: 0.9898, recall: 0.84, relative_absolute_error: 0.3246, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8058, scimark_benchmark: 1353.5686,
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: 1330.0803,
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: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7681, f_measure: 0.696, kappa: 0.3831, kb_relative_information_score: 90.2293, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.696, predictive_accuracy: 0.696, prior_entropy: 0.9898, recall: 0.696, relative_absolute_error: 0.6388, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5282, root_relative_squared_error: 1.0642, scimark_benchmark: 931.2336, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, f_measure: 0.6897, kappa: 0.3682, kb_relative_information_score: 72.6134, mean_absolute_error: 0.359, 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: 0.7284, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9123, scimark_benchmark: 876.8277, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, f_measure: 0.6897, kappa: 0.3682, kb_relative_information_score: 72.6134, mean_absolute_error: 0.359, 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: 0.7284, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9123, scimark_benchmark: 923.7642, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, f_measure: 0.6897, kappa: 0.3682, kb_relative_information_score: 72.6134, mean_absolute_error: 0.359, 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: 0.7284, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9123, scimark_benchmark: 894.7455, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8833, kappa: 0.7625, kb_relative_information_score: 186.1884, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.885, predictive_accuracy: 0.884, prior_entropy: 0.9898, recall: 0.884, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.6469, scimark_benchmark: 940.2922, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.8758, kappa: 0.7476, kb_relative_information_score: 178.4816, mean_absolute_error: 0.142, 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: 0.2881, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.6762, scimark_benchmark: 943.2817, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8076, kappa: 0.6089, kb_relative_information_score: 153.4914, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8076, predictive_accuracy: 0.808, prior_entropy: 0.9898, recall: 0.808, relative_absolute_error: 0.3841, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7814, scimark_benchmark: 911.3823, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, f_measure: 0.8162, kappa: 0.6273, kb_relative_information_score: 147.9629, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8164, predictive_accuracy: 0.816, prior_entropy: 0.9898, recall: 0.816, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8219, scimark_benchmark: 934.5243, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.7229, kappa: 0.4594, kb_relative_information_score: 114.2405, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7544, predictive_accuracy: 0.724, prior_entropy: 0.9898, recall: 0.724, relative_absolute_error: 0.5374, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.447, root_relative_squared_error: 0.9005, scimark_benchmark: 938.9865, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.8917, kappa: 0.7798, kb_relative_information_score: 189.2206, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8921, predictive_accuracy: 0.892, prior_entropy: 0.9898, recall: 0.892, relative_absolute_error: 0.2483, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.5855, scimark_benchmark: 936.6206, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.896, kappa: 0.789, kb_relative_information_score: 180.6952, mean_absolute_error: 0.1415, 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: 0.2871, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.5831, scimark_benchmark: 924.6116, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.8797, kappa: 0.7555, kb_relative_information_score: 168.773, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9898, recall: 0.88, relative_absolute_error: 0.342, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.5954, scimark_benchmark: 924.6116, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8433, kappa: 0.6813, kb_relative_information_score: 145.5797, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.844, predictive_accuracy: 0.844, prior_entropy: 0.9898, recall: 0.844, relative_absolute_error: 0.4402, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.6591, scimark_benchmark: 947.9494, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.8433, kappa: 0.6813, kb_relative_information_score: 136.5115, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.844, predictive_accuracy: 0.844, prior_entropy: 0.9898, recall: 0.844, relative_absolute_error: 0.4853, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.6592, scimark_benchmark: 931.2336, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7323, f_measure: 0.4552, kappa: 0.1156, kb_relative_information_score: 24.079, mean_absolute_error: 0.4448, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6453, predictive_accuracy: 0.52, prior_entropy: 0.9898, recall: 0.52, relative_absolute_error: 0.9025, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0099, scimark_benchmark: 934.5243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8195, kappa: 0.633, kb_relative_information_score: 142.8056, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8196, predictive_accuracy: 0.82, prior_entropy: 0.9898, recall: 0.82, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.6824, scimark_benchmark: 947.9494, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.8681, kappa: 0.7324, kb_relative_information_score: 161.1204, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8682, predictive_accuracy: 0.868, prior_entropy: 0.9898, recall: 0.868, relative_absolute_error: 0.3741, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3064, root_relative_squared_error: 0.6173, scimark_benchmark: 943.6956, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 929.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8355, kappa: 0.6656, kb_relative_information_score: 131.931, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8357, predictive_accuracy: 0.836, prior_entropy: 0.9898, recall: 0.836, relative_absolute_error: 0.5036, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6762, scimark_benchmark: 911.0478, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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, scimark_benchmark: 933.8635,
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: 904.3001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.879, kappa: 0.7536, kb_relative_information_score: 68.8558, mean_absolute_error: 0.3846, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8822, predictive_accuracy: 0.88, prior_entropy: 0.9898, recall: 0.88, relative_absolute_error: 0.7804, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.8053, scimark_benchmark: 947.9494, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.7381, kappa: 0.4667, kb_relative_information_score: 59.4981, mean_absolute_error: 0.3915, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7391, predictive_accuracy: 0.74, prior_entropy: 0.9898, recall: 0.74, relative_absolute_error: 0.7944, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.8632, scimark_benchmark: 917.7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7637, f_measure: 0.7117, kappa: 0.4144, kb_relative_information_score: 87.0306, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7115, predictive_accuracy: 0.712, prior_entropy: 0.9898, recall: 0.712, relative_absolute_error: 0.66, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.471, root_relative_squared_error: 0.9489, scimark_benchmark: 901.0726, usercpu_time_millis: 450, usercpu_time_millis_testing: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.9238, kappa: 0.845, kb_relative_information_score: 210.2763, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.9243, predictive_accuracy: 0.924, prior_entropy: 0.9898, recall: 0.924, relative_absolute_error: 0.1581, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.5581, scimark_benchmark: 889.9795, usercpu_time_millis: 490, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.9199, kappa: 0.8373, kb_relative_information_score: 209.1332, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.92, 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: 0.2827, root_relative_squared_error: 0.5694, scimark_benchmark: 945.9253, usercpu_time_millis: 890, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.8881, kappa: 0.7732, kb_relative_information_score: 191.9813, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8883, predictive_accuracy: 0.888, prior_entropy: 0.9898, recall: 0.888, relative_absolute_error: 0.2324, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6381, scimark_benchmark: 935.8834, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, f_measure: 0.6812, kappa: 0.3606, kb_relative_information_score: 57.7414, mean_absolute_error: 0.3897, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6879, predictive_accuracy: 0.68, prior_entropy: 0.9898, recall: 0.68, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4793, root_relative_squared_error: 0.9656, scimark_benchmark: 902.4773, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.8878, kappa: 0.7718, kb_relative_information_score: 192.2304, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.888, predictive_accuracy: 0.888, prior_entropy: 0.9898, recall: 0.888, relative_absolute_error: 0.2298, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.6235, scimark_benchmark: 938.9865, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8592, kappa: 0.7134, kb_relative_information_score: 153.6565, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8607, predictive_accuracy: 0.86, prior_entropy: 0.9898, recall: 0.86, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.664, scimark_benchmark: 904.3001,
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, scimark_benchmark: 934.6252, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6922, f_measure: 0.6987, kappa: 0.3871, kb_relative_information_score: 96.845, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6986, 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, scimark_benchmark: 940.3346, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, build_cpu_time: 0.0573, build_memory: 1017856660, f_measure: 0.6902, kappa: 0.3695, kb_relative_information_score: 63.6545, mean_absolute_error: 0.38, 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: 0.771, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9205, scimark_benchmark: 945.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, build_cpu_time: 0.0569, build_memory: 1633929779.2, f_measure: 0.6902, kappa: 0.3695, kb_relative_information_score: 63.6545, mean_absolute_error: 0.38, 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: 0.771, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9205, scimark_benchmark: 918.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, build_cpu_time: 0.05, build_memory: 936127808, f_measure: 0.6902, kappa: 0.3695, kb_relative_information_score: 63.6545, mean_absolute_error: 0.38, 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: 0.771, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9205, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, build_cpu_time: 0.0621, build_memory: 359194491.2, f_measure: 0.6902, kappa: 0.3695, kb_relative_information_score: 63.6545, mean_absolute_error: 0.38, 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: 0.771, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9205, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, build_cpu_time: 0.0262, build_memory: 1281889412, f_measure: 0.8309, kappa: 0.6557, kb_relative_information_score: 160.2607, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8325, predictive_accuracy: 0.832, prior_entropy: 0.9898, recall: 0.832, relative_absolute_error: 0.3597, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7502, scimark_benchmark: 940.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, build_cpu_time: 0.0736, build_memory: 551242427.2, f_measure: 0.8715, kappa: 0.7387, kb_relative_information_score: 181.5268, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8721, predictive_accuracy: 0.872, prior_entropy: 0.9898, recall: 0.872, relative_absolute_error: 0.2746, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6816, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, build_cpu_time: 0.1083, build_memory: 380705353.6, f_measure: 0.8914, kappa: 0.7789, kb_relative_information_score: 195.9241, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8931, predictive_accuracy: 0.892, prior_entropy: 0.9898, recall: 0.892, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.6234, scimark_benchmark: 932.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, build_cpu_time: 0.1583, build_memory: 139874571.2, f_measure: 0.8955, kappa: 0.7873, kb_relative_information_score: 196.1246, mean_absolute_error: 0.106, 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: 0.2151, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.63, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, build_cpu_time: 0.1704, build_memory: 55636507.2, f_measure: 0.8953, kappa: 0.7869, kb_relative_information_score: 197.0365, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8976, predictive_accuracy: 0.896, prior_entropy: 0.9898, recall: 0.896, relative_absolute_error: 0.2107, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.6278, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, build_cpu_time: 0.0064, build_memory: 846351347.2, f_measure: 0.8045, kappa: 0.605, kb_relative_information_score: 149.9244, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8063, 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, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, build_cpu_time: 0.0041, build_memory: 265029256.8, f_measure: 0.8045, kappa: 0.605, kb_relative_information_score: 149.9244, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8063, 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, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, build_cpu_time: 0.0032, build_memory: 2215340904, f_measure: 0.8045, kappa: 0.605, kb_relative_information_score: 149.9244, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8063, 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, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, build_cpu_time: 0.0016, build_memory: 2193956656, f_measure: 0.8045, kappa: 0.605, kb_relative_information_score: 149.9244, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8063, 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, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, build_cpu_time: 0.002, build_memory: 1957562296, f_measure: 0.8045, kappa: 0.605, kb_relative_information_score: 149.9244, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8063, 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, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, build_cpu_time: 0.0571, build_memory: 636756535.2, f_measure: 0.8838, kappa: 0.7639, kb_relative_information_score: 146.3208, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8839, predictive_accuracy: 0.884, prior_entropy: 0.9898, recall: 0.884, relative_absolute_error: 0.4541, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.6034, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, build_cpu_time: 0.0589, build_memory: 1036757800.8, f_measure: 0.8838, kappa: 0.7639, kb_relative_information_score: 146.3208, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8839, predictive_accuracy: 0.884, prior_entropy: 0.9898, recall: 0.884, relative_absolute_error: 0.4541, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.6034, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, build_cpu_time: 0.0874, build_memory: 990416529.6, f_measure: 0.8838, kappa: 0.7639, kb_relative_information_score: 146.3208, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8839, predictive_accuracy: 0.884, prior_entropy: 0.9898, recall: 0.884, relative_absolute_error: 0.4541, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.6034, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, build_cpu_time: 0.1056, build_memory: 2074820787.2, f_measure: 0.8838, kappa: 0.7639, kb_relative_information_score: 146.3208, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8839, predictive_accuracy: 0.884, prior_entropy: 0.9898, recall: 0.884, relative_absolute_error: 0.4541, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.6034, scimark_benchmark: 939.8137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, build_cpu_time: 0.0602, build_memory: 545021023.2, f_measure: 0.8838, kappa: 0.7639, kb_relative_information_score: 146.3208, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8839, predictive_accuracy: 0.884, prior_entropy: 0.9898, recall: 0.884, relative_absolute_error: 0.4541, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.6034, scimark_benchmark: 915.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, build_cpu_time: 0.137, build_memory: 798232202.4, f_measure: 0.8002, kappa: 0.5949, kb_relative_information_score: 146.3706, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8005, predictive_accuracy: 0.8, prior_entropy: 0.9898, recall: 0.8, relative_absolute_error: 0.4126, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8903, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, build_cpu_time: 0.0606, build_memory: 489200163.2, f_measure: 0.8002, kappa: 0.5949, kb_relative_information_score: 147.3738, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8005, predictive_accuracy: 0.8, prior_entropy: 0.9898, recall: 0.8, relative_absolute_error: 0.4081, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.8822, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, build_cpu_time: 0.0453, build_memory: 239185915.2, f_measure: 0.7961, kappa: 0.5864, kb_relative_information_score: 144.7735, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7962, predictive_accuracy: 0.796, prior_entropy: 0.9898, recall: 0.796, relative_absolute_error: 0.4185, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.869, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, build_cpu_time: 0.0144, build_memory: 755074388.8, f_measure: 0.7524, kappa: 0.4987, kb_relative_information_score: 123.746, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7532, predictive_accuracy: 0.752, prior_entropy: 0.9898, recall: 0.752, relative_absolute_error: 0.501, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4586, root_relative_squared_error: 0.9239, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, build_cpu_time: 0.0075, build_memory: 803036870.4, f_measure: 0.7883, kappa: 0.5711, kb_relative_information_score: 132.8983, mean_absolute_error: 0.233, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7888, predictive_accuracy: 0.788, prior_entropy: 0.9898, recall: 0.788, relative_absolute_error: 0.4728, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.8556, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, build_cpu_time: 0.0127, build_memory: 1419729263.2, f_measure: 0.6897, kappa: 0.3682, kb_relative_information_score: 72.6134, mean_absolute_error: 0.359, 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: 0.7284, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9123, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, build_cpu_time: 0.0121, build_memory: 371301760.8, f_measure: 0.6897, kappa: 0.3682, kb_relative_information_score: 72.6134, mean_absolute_error: 0.359, 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: 0.7284, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9123, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, build_cpu_time: 0.0151, build_memory: 786629874.4, f_measure: 0.6897, kappa: 0.3682, kb_relative_information_score: 72.6134, mean_absolute_error: 0.359, 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: 0.7284, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9123, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, build_cpu_time: 0.0212, build_memory: 1721784949.6, f_measure: 0.6897, kappa: 0.3682, kb_relative_information_score: 72.6134, mean_absolute_error: 0.359, 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: 0.7284, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9123, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, build_cpu_time: 0.015, build_memory: 2437516331.2, f_measure: 0.6897, kappa: 0.3682, kb_relative_information_score: 72.6134, mean_absolute_error: 0.359, 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: 0.7284, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9123, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, build_cpu_time: 4.2589, build_memory: 20586076, f_measure: 0.8121, kappa: 0.6189, kb_relative_information_score: 149.2131, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8122, predictive_accuracy: 0.812, prior_entropy: 0.9898, recall: 0.812, relative_absolute_error: 0.4063, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7628, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, build_cpu_time: 8.2987, build_memory: 29337648.8, f_measure: 0.8242, kappa: 0.6436, kb_relative_information_score: 163.6104, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8244, predictive_accuracy: 0.824, prior_entropy: 0.9898, recall: 0.824, relative_absolute_error: 0.3428, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7513, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, build_cpu_time: 16.6175, build_memory: 22166572, f_measure: 0.8599, kappa: 0.7156, kb_relative_information_score: 177.3988, mean_absolute_error: 0.1425, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8599, predictive_accuracy: 0.86, prior_entropy: 0.9898, recall: 0.86, relative_absolute_error: 0.2891, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7277, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, build_cpu_time: 33.4312, build_memory: 14541696.8, f_measure: 0.8961, kappa: 0.7894, kb_relative_information_score: 196.6998, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8963, predictive_accuracy: 0.896, prior_entropy: 0.9898, recall: 0.896, relative_absolute_error: 0.2123, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.6313, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, build_cpu_time: 85.2705, build_memory: 895068806.4, f_measure: 0.8881, kappa: 0.7732, kb_relative_information_score: 191.8773, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8883, predictive_accuracy: 0.888, prior_entropy: 0.9898, recall: 0.888, relative_absolute_error: 0.2311, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.6678, scimark_benchmark: 938.6203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, build_cpu_time: 8.5026, build_memory: 439361136.8, f_measure: 0.9039, kappa: 0.8048, kb_relative_information_score: 199.4354, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.9039, predictive_accuracy: 0.904, prior_entropy: 0.9898, recall: 0.904, relative_absolute_error: 0.2019, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.311, root_relative_squared_error: 0.6265, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, build_cpu_time: 4.6082, build_memory: 260325311.2, f_measure: 0.9159, kappa: 0.829, kb_relative_information_score: 206.3137, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.916, predictive_accuracy: 0.916, prior_entropy: 0.9898, recall: 0.916, relative_absolute_error: 0.1742, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2866, root_relative_squared_error: 0.5774, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, build_cpu_time: 2.0518, build_memory: 158706600, f_measure: 0.9113, kappa: 0.8193, kb_relative_information_score: 202.6592, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.9149, predictive_accuracy: 0.912, prior_entropy: 0.9898, recall: 0.912, relative_absolute_error: 0.1885, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.5909, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, build_cpu_time: 0.9288, build_memory: 1438580166.4, f_measure: 0.8958, kappa: 0.7881, kb_relative_information_score: 188.7754, mean_absolute_error: 0.121, 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: 0.2456, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.6311, scimark_benchmark: 874.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, build_cpu_time: 0.204, build_memory: 962701066.4, f_measure: 0.8467, kappa: 0.6879, kb_relative_information_score: 171.597, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8495, predictive_accuracy: 0.848, prior_entropy: 0.9898, recall: 0.848, relative_absolute_error: 0.3119, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7329, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, build_cpu_time: 0.8096, build_memory: 575111052, f_measure: 0.8876, kappa: 0.7714, kb_relative_information_score: 193.4403, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8883, predictive_accuracy: 0.888, prior_entropy: 0.9898, recall: 0.888, relative_absolute_error: 0.2243, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.6554, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, build_cpu_time: 1.6576, build_memory: 886733642.4, f_measure: 0.9119, kappa: 0.8211, kb_relative_information_score: 204.4241, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.9119, predictive_accuracy: 0.912, prior_entropy: 0.9898, recall: 0.912, relative_absolute_error: 0.1816, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.5965, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, build_cpu_time: 3.1018, build_memory: 468993371.2, f_measure: 0.908, kappa: 0.8131, kb_relative_information_score: 203.1982, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.9079, predictive_accuracy: 0.908, prior_entropy: 0.9898, recall: 0.908, relative_absolute_error: 0.1858, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.6026, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, build_cpu_time: 0.4806, build_memory: 1372147718.4, f_measure: 0.908, kappa: 0.8135, kb_relative_information_score: 203.432, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.9081, predictive_accuracy: 0.908, prior_entropy: 0.9898, recall: 0.908, relative_absolute_error: 0.1854, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.5852, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, build_cpu_time: 0.4541, build_memory: 481207212.8, f_measure: 0.916, kappa: 0.8294, kb_relative_information_score: 206.9312, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.9159, predictive_accuracy: 0.916, prior_entropy: 0.9898, recall: 0.916, relative_absolute_error: 0.1722, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.5593, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, build_cpu_time: 0.3204, build_memory: 1185648569.6, f_measure: 0.908, kappa: 0.8135, kb_relative_information_score: 200.8596, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.9081, predictive_accuracy: 0.908, prior_entropy: 0.9898, recall: 0.908, relative_absolute_error: 0.1971, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.5881, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, build_cpu_time: 0.219, build_memory: 1253195254.4, f_measure: 0.8959, kappa: 0.7885, kb_relative_information_score: 196.7006, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8959, predictive_accuracy: 0.896, prior_entropy: 0.9898, recall: 0.896, relative_absolute_error: 0.2123, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.6118, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, build_cpu_time: 0.0822, build_memory: 649281628.8, f_measure: 0.8753, kappa: 0.7462, kb_relative_information_score: 186.7125, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8769, predictive_accuracy: 0.876, prior_entropy: 0.9898, recall: 0.876, relative_absolute_error: 0.2514, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.63, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, build_cpu_time: 0.0884, build_memory: 279304120.8, f_measure: 0.8959, kappa: 0.7885, kb_relative_information_score: 197.5002, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8959, predictive_accuracy: 0.896, prior_entropy: 0.9898, recall: 0.896, relative_absolute_error: 0.21, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3047, root_relative_squared_error: 0.6138, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, build_cpu_time: 0.1728, build_memory: 94131723.2, f_measure: 0.916, kappa: 0.8294, kb_relative_information_score: 204.5223, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.9159, predictive_accuracy: 0.916, prior_entropy: 0.9898, recall: 0.916, relative_absolute_error: 0.1819, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.5868, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, build_cpu_time: 0.3609, build_memory: 1812448054.4, f_measure: 0.9238, kappa: 0.845, kb_relative_information_score: 210.2763, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.9243, predictive_accuracy: 0.924, prior_entropy: 0.9898, recall: 0.924, relative_absolute_error: 0.1581, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.5581, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, build_cpu_time: 0.7199, build_memory: 2766171680.8, f_measure: 0.9199, kappa: 0.8373, kb_relative_information_score: 209.1332, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.92, 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: 0.2827, root_relative_squared_error: 0.5694, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7032, build_cpu_time: 0.0195, build_memory: 155887752, 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: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7032, build_cpu_time: 0.0216, build_memory: 80029512.8, 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: 941.1411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7032, build_cpu_time: 0.0095, build_memory: 677466424, 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: 945.0532,

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

OpenML bootcamp

From your own software

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

OpenML APIs