Task
Supervised Classification on tae

Supervised Classification on tae

Task 3818 Supervised Classification tae 803 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:

803 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, build_cpu_time: 2.2747, build_memory: 67703573.8278, f_measure: 0.8065, kappa: 0.5688, kb_relative_information_score: 74.8225, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.8058, predictive_accuracy: 0.8079, prior_entropy: 0.9308, recall: 0.8079, relative_absolute_error: 0.4942, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.9288, scimark_benchmark: 935.1241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, build_cpu_time: 2.2587, build_memory: 2171329027.9735, f_measure: 0.8065, kappa: 0.5688, kb_relative_information_score: 74.7677, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.8058, predictive_accuracy: 0.8079, prior_entropy: 0.9308, recall: 0.8079, relative_absolute_error: 0.4947, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4412, root_relative_squared_error: 0.9285, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7898, build_cpu_time: 1.5528, build_memory: 1221323262.7285, f_measure: 0.7871, kappa: 0.5264, kb_relative_information_score: 71.5632, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7863, predictive_accuracy: 0.7881, prior_entropy: 0.9308, recall: 0.7881, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.447, root_relative_squared_error: 0.9408, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, build_cpu_time: 0.6467, build_memory: 155094161.2185, f_measure: 0.792, kappa: 0.5347, kb_relative_information_score: 70.6117, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7913, predictive_accuracy: 0.7947, prior_entropy: 0.9308, recall: 0.7947, relative_absolute_error: 0.5227, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.9165, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, build_cpu_time: 0.1092, build_memory: 223916217.1656, f_measure: 0.7312, kappa: 0.4121, kb_relative_information_score: 57.8544, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7355, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.5932, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4778, root_relative_squared_error: 1.0056, scimark_benchmark: 922.3661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, build_cpu_time: 0.2095, build_memory: 396500043.1258, f_measure: 0.7434, kappa: 0.4358, kb_relative_information_score: 60.4973, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7456, predictive_accuracy: 0.7417, prior_entropy: 0.9308, recall: 0.7417, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4874, root_relative_squared_error: 1.0258, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7613, build_cpu_time: 0.3033, build_memory: 937242137.9073, f_measure: 0.7513, kappa: 0.4576, kb_relative_information_score: 61.1563, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7566, predictive_accuracy: 0.7483, prior_entropy: 0.9308, recall: 0.7483, relative_absolute_error: 0.5721, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0276, scimark_benchmark: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7616, build_cpu_time: 0.2953, build_memory: 667890741.5629, f_measure: 0.7513, kappa: 0.4576, kb_relative_information_score: 61.2849, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7566, predictive_accuracy: 0.7483, prior_entropy: 0.9308, recall: 0.7483, relative_absolute_error: 0.5712, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4879, root_relative_squared_error: 1.0269, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, build_cpu_time: 0.0197, build_memory: 319642124.6623, f_measure: 0.6954, kappa: 0.3254, kb_relative_information_score: 31.5386, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6954, predictive_accuracy: 0.6954, prior_entropy: 0.9308, recall: 0.6954, relative_absolute_error: 0.7834, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.9901, scimark_benchmark: 945.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, build_cpu_time: 0.0177, build_memory: 1687574931.5497, f_measure: 0.6954, kappa: 0.3254, kb_relative_information_score: 31.5386, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6954, predictive_accuracy: 0.6954, prior_entropy: 0.9308, recall: 0.6954, relative_absolute_error: 0.7834, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.9901, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, build_cpu_time: 0.0183, build_memory: 716380875.5497, f_measure: 0.6954, kappa: 0.3254, kb_relative_information_score: 31.5386, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6954, predictive_accuracy: 0.6954, prior_entropy: 0.9308, recall: 0.6954, relative_absolute_error: 0.7834, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.9901, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, build_cpu_time: 0.0252, build_memory: 1066928007.3113, f_measure: 0.6954, kappa: 0.3254, kb_relative_information_score: 31.5386, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6954, predictive_accuracy: 0.6954, prior_entropy: 0.9308, recall: 0.6954, relative_absolute_error: 0.7834, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.9901, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6701, build_cpu_time: 0.0143, build_memory: 461356128.6887, f_measure: 0.6806, kappa: 0.2896, kb_relative_information_score: 29.2685, mean_absolute_error: 0.3603, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6793, predictive_accuracy: 0.6821, prior_entropy: 0.9308, recall: 0.6821, relative_absolute_error: 0.7969, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9982, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7387, build_cpu_time: 0.0099, build_memory: 190210957.9338, f_measure: 0.7309, kappa: 0.3968, kb_relative_information_score: 44.7956, mean_absolute_error: 0.3136, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7291, predictive_accuracy: 0.7351, prior_entropy: 0.9308, recall: 0.7351, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9637, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7366, build_cpu_time: 0.0121, build_memory: 967362030.9934, f_measure: 0.7309, kappa: 0.3968, kb_relative_information_score: 44.6826, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7291, predictive_accuracy: 0.7351, prior_entropy: 0.9308, recall: 0.7351, relative_absolute_error: 0.6946, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9605, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7366, build_cpu_time: 0.0083, build_memory: 1923652565.457, f_measure: 0.7309, kappa: 0.3968, kb_relative_information_score: 44.6826, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7291, predictive_accuracy: 0.7351, prior_entropy: 0.9308, recall: 0.7351, relative_absolute_error: 0.6946, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9605, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7366, build_cpu_time: 0.0104, build_memory: 698723269.8278, f_measure: 0.7309, kappa: 0.3968, kb_relative_information_score: 44.6826, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7291, predictive_accuracy: 0.7351, prior_entropy: 0.9308, recall: 0.7351, relative_absolute_error: 0.6946, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9605, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7366, build_cpu_time: 0.0161, build_memory: 170068510.4636, f_measure: 0.7309, kappa: 0.3968, kb_relative_information_score: 44.6826, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7291, predictive_accuracy: 0.7351, prior_entropy: 0.9308, recall: 0.7351, relative_absolute_error: 0.6946, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9605, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7369, build_cpu_time: 0.473, build_memory: 441519527.6291, f_measure: 0.7544, kappa: 0.4549, kb_relative_information_score: 66.0816, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7539, predictive_accuracy: 0.755, prior_entropy: 0.9308, recall: 0.755, relative_absolute_error: 0.5419, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4871, root_relative_squared_error: 1.0252, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7369, build_cpu_time: 0.3382, build_memory: 572591912.3179, f_measure: 0.7544, kappa: 0.4549, kb_relative_information_score: 66.0788, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7539, predictive_accuracy: 0.755, prior_entropy: 0.9308, recall: 0.755, relative_absolute_error: 0.5419, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4872, root_relative_squared_error: 1.0252, scimark_benchmark: 945.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7412, build_cpu_time: 0.1185, build_memory: 234479972.9801, f_measure: 0.7544, kappa: 0.4549, kb_relative_information_score: 66.0725, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7539, predictive_accuracy: 0.755, prior_entropy: 0.9308, recall: 0.755, relative_absolute_error: 0.5419, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4872, root_relative_squared_error: 1.0253, scimark_benchmark: 939.7233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7046, build_cpu_time: 0.0374, build_memory: 817163417.1656, f_measure: 0.6762, kappa: 0.265, kb_relative_information_score: 31.4923, mean_absolute_error: 0.3635, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6789, predictive_accuracy: 0.6954, prior_entropy: 0.9308, recall: 0.6954, relative_absolute_error: 0.8038, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4515, root_relative_squared_error: 0.9501, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7677, build_cpu_time: 0.2662, build_memory: 1611389988.8742, f_measure: 0.7616, kappa: 0.472, kb_relative_information_score: 66.6124, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7616, predictive_accuracy: 0.7616, prior_entropy: 0.9308, recall: 0.7616, relative_absolute_error: 0.5363, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4691, root_relative_squared_error: 0.9872, scimark_benchmark: 937.8022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, build_cpu_time: 0.2563, build_memory: 789295168.5828, f_measure: 0.7677, kappa: 0.4843, kb_relative_information_score: 67.5255, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7672, predictive_accuracy: 0.7682, prior_entropy: 0.9308, recall: 0.7682, relative_absolute_error: 0.5312, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4654, root_relative_squared_error: 0.9795, scimark_benchmark: 939.6177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, build_cpu_time: 0.1176, build_memory: 697273662.6755, f_measure: 0.7616, kappa: 0.472, kb_relative_information_score: 68.1877, mean_absolute_error: 0.2387, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7616, predictive_accuracy: 0.7616, prior_entropy: 0.9308, recall: 0.7616, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9727, scimark_benchmark: 939.4513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7528, build_cpu_time: 0.0653, build_memory: 2442565111.3642, f_measure: 0.7592, kappa: 0.4622, kb_relative_information_score: 62.5236, mean_absolute_error: 0.2576, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7579, predictive_accuracy: 0.7616, prior_entropy: 0.9308, recall: 0.7616, relative_absolute_error: 0.5697, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4618, root_relative_squared_error: 0.9718, scimark_benchmark: 892.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0253, build_memory: 2167157504.6887, f_measure: 0.1764, kb_relative_information_score: -77.2279, mean_absolute_error: 0.6556, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.1186, predictive_accuracy: 0.3444, prior_entropy: 0.9308, recall: 0.3444, relative_absolute_error: 1.4499, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.8097, root_relative_squared_error: 1.7041, scimark_benchmark: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7398, build_cpu_time: 0.0355, build_memory: 2076613429.5629, f_measure: 0.7626, kappa: 0.4768, kb_relative_information_score: 59.2733, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7639, predictive_accuracy: 0.7616, prior_entropy: 0.9308, recall: 0.7616, relative_absolute_error: 0.5995, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9638, scimark_benchmark: 909.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5967, build_cpu_time: 0.0006, build_memory: 1944141088.9007, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 21.5404, mean_absolute_error: 0.3959, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9473, scimark_benchmark: 918.4301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, build_cpu_time: 0.04, build_memory: 110988039.2583, f_measure: 0.7881, kappa: 0.5307, kb_relative_information_score: 53.2564, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7881, predictive_accuracy: 0.7881, prior_entropy: 0.9308, recall: 0.7881, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8665, scimark_benchmark: 946.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, build_cpu_time: 0.0024, build_memory: 556722727.4702, f_measure: 0.6943, kappa: 0.3118, kb_relative_information_score: 22.1719, mean_absolute_error: 0.3901, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6919, predictive_accuracy: 0.702, prior_entropy: 0.9308, recall: 0.702, relative_absolute_error: 0.8627, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9787, scimark_benchmark: 936.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7012, build_memory: 42476792, f_measure: 0.7687, kappa: 0.489, kb_relative_information_score: 65.2687, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7693, predictive_accuracy: 0.7682, prior_entropy: 0.9308, recall: 0.7682, relative_absolute_error: 0.5495, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4843, root_relative_squared_error: 1.0192, scimark_benchmark: 920.2722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0059, build_memory: 1126782961.8013, f_measure: 0.5193, kb_relative_information_score: 30.9792, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.4299, predictive_accuracy: 0.6556, prior_entropy: 0.9308, recall: 0.6556, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5868, root_relative_squared_error: 1.235, scimark_benchmark: 935.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5351, build_cpu_time: 0.0066, build_memory: 128008180.9272, f_measure: 0.5938, kappa: 0.08, kb_relative_information_score: 24.0724, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.5938, predictive_accuracy: 0.6358, prior_entropy: 0.9308, recall: 0.6358, relative_absolute_error: 0.8055, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.6035, root_relative_squared_error: 1.2701, scimark_benchmark: 946.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5447, build_cpu_time: 0.0087, build_memory: 490383936, f_measure: 0.6035, kappa: 0.1014, kb_relative_information_score: 26.3747, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6048, predictive_accuracy: 0.6424, prior_entropy: 0.9308, recall: 0.6424, relative_absolute_error: 0.7908, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.598, root_relative_squared_error: 1.2585, scimark_benchmark: 948.6597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, build_cpu_time: 0.0018, build_memory: 288685440, f_measure: 0.693, kappa: 0.3039, kb_relative_information_score: 17.6834, mean_absolute_error: 0.4031, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.695, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.8914, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9664, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7343, build_cpu_time: 0.0071, build_memory: 727863770.1192, f_measure: 0.6865, kappa: 0.2931, kb_relative_information_score: 29.5335, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.684, predictive_accuracy: 0.6954, prior_entropy: 0.9308, recall: 0.6954, relative_absolute_error: 0.8064, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.9228, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7343, build_cpu_time: 0.0062, build_memory: 305966877.351, f_measure: 0.6865, kappa: 0.2931, kb_relative_information_score: 29.5335, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.684, predictive_accuracy: 0.6954, prior_entropy: 0.9308, recall: 0.6954, relative_absolute_error: 0.8064, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.9228, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7343, build_cpu_time: 0.0043, build_memory: 941272536.7947, f_measure: 0.6865, kappa: 0.2931, kb_relative_information_score: 29.5335, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.684, predictive_accuracy: 0.6954, prior_entropy: 0.9308, recall: 0.6954, relative_absolute_error: 0.8064, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.9228, scimark_benchmark: 933.4176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6293, build_cpu_time: 0.0037, build_memory: 212964360.9536, f_measure: 0.5987, kappa: 0.092, kb_relative_information_score: 14.2647, mean_absolute_error: 0.409, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6018, predictive_accuracy: 0.6424, prior_entropy: 0.9308, recall: 0.6424, relative_absolute_error: 0.9045, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9955, scimark_benchmark: 933.0871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5519, build_cpu_time: 0.0004, build_memory: 360516872, f_measure: 0.6047, kappa: 0.1087, kb_relative_information_score: 17.1656, mean_absolute_error: 0.3841, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.5987, predictive_accuracy: 0.6159, prior_entropy: 0.9308, recall: 0.6159, relative_absolute_error: 0.8494, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.6198, root_relative_squared_error: 1.3043, scimark_benchmark: 943.4022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6367, build_cpu_time: 0.0002, build_memory: 791651089.7483, f_measure: 0.6817, kappa: 0.2793, kb_relative_information_score: 21.105, mean_absolute_error: 0.3944, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6809, predictive_accuracy: 0.6954, prior_entropy: 0.9308, recall: 0.6954, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9596, scimark_benchmark: 947.7747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6367, build_cpu_time: 0.0002, build_memory: 347726672, f_measure: 0.6817, kappa: 0.2793, kb_relative_information_score: 21.105, mean_absolute_error: 0.3944, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6809, predictive_accuracy: 0.6954, prior_entropy: 0.9308, recall: 0.6954, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9596, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6341, build_cpu_time: 0.0008, build_memory: 131722936, f_measure: 0.7152, kappa: 0.3545, kb_relative_information_score: 36.2046, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.718, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.7722, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9728, scimark_benchmark: 943.6737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6341, build_cpu_time: 0.0009, build_memory: 133240520, f_measure: 0.7152, kappa: 0.3545, kb_relative_information_score: 36.2046, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.718, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.7722, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9728, scimark_benchmark: 932.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6341, build_cpu_time: 0.0013, build_memory: 326372792, f_measure: 0.7152, kappa: 0.3545, kb_relative_information_score: 36.2046, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.718, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.7722, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9728, scimark_benchmark: 929.8923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6376, build_cpu_time: 0.0942, build_memory: 494656320.6358, f_measure: 0.6566, kappa: 0.2209, kb_relative_information_score: 40.2119, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6561, predictive_accuracy: 0.6755, prior_entropy: 0.9308, recall: 0.6755, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5066, root_relative_squared_error: 1.0661, scimark_benchmark: 939.7809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, build_cpu_time: 0.0474, build_memory: 247304301.5099, f_measure: 0.6463, kappa: 0.1971, kb_relative_information_score: 41.9742, mean_absolute_error: 0.3113, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6522, predictive_accuracy: 0.6755, prior_entropy: 0.9308, recall: 0.6755, relative_absolute_error: 0.6883, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.0673, scimark_benchmark: 926.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6687, build_cpu_time: 0.085, build_memory: 571095926.8874, f_measure: 0.6371, kappa: 0.1765, kb_relative_information_score: 42.6085, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6429, predictive_accuracy: 0.6689, prior_entropy: 0.9308, recall: 0.6689, relative_absolute_error: 0.6854, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5074, root_relative_squared_error: 1.0678, scimark_benchmark: 921.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6626, build_cpu_time: 0.1652, build_memory: 881448772.9272, f_measure: 0.6899, kappa: 0.2984, kb_relative_information_score: 43.9317, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.689, predictive_accuracy: 0.702, prior_entropy: 0.9308, recall: 0.702, relative_absolute_error: 0.6803, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5043, root_relative_squared_error: 1.0614, scimark_benchmark: 895.5844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6626, build_cpu_time: 0.2014, build_memory: 342376279.5232, f_measure: 0.6899, kappa: 0.2984, kb_relative_information_score: 43.9317, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.689, predictive_accuracy: 0.702, prior_entropy: 0.9308, recall: 0.702, relative_absolute_error: 0.6803, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5043, root_relative_squared_error: 1.0614, scimark_benchmark: 937.2747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6506, build_cpu_time: 0.3444, build_memory: 864634940.0265, f_measure: 0.6979, kappa: 0.3173, kb_relative_information_score: 44.8014, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6969, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.6775, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0561, scimark_benchmark: 947.7504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6492, build_cpu_time: 0.7489, build_memory: 912726901.1921, f_measure: 0.6979, kappa: 0.3173, kb_relative_information_score: 44.325, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6969, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.6794, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5038, root_relative_squared_error: 1.0603, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, build_cpu_time: 0.0703, build_memory: 871596004.0265, f_measure: 0.7043, kappa: 0.3289, kb_relative_information_score: 27.1078, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7103, predictive_accuracy: 0.7219, prior_entropy: 0.9308, recall: 0.7219, relative_absolute_error: 0.8276, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.911, scimark_benchmark: 943.2048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, build_cpu_time: 0.0461, build_memory: 534337078.8874, f_measure: 0.6566, kappa: 0.2209, kb_relative_information_score: 26.9056, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6561, predictive_accuracy: 0.6755, prior_entropy: 0.9308, recall: 0.6755, relative_absolute_error: 0.8288, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.434, root_relative_squared_error: 0.9135, scimark_benchmark: 946.5993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, build_cpu_time: 0.0486, build_memory: 616572204.3974, f_measure: 0.6566, kappa: 0.2209, kb_relative_information_score: 26.9056, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6561, predictive_accuracy: 0.6755, prior_entropy: 0.9308, recall: 0.6755, relative_absolute_error: 0.8288, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.434, root_relative_squared_error: 0.9135, scimark_benchmark: 946.7087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, build_cpu_time: 0.0391, build_memory: 220908353.9603, f_measure: 0.6566, kappa: 0.2209, kb_relative_information_score: 26.9056, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6561, predictive_accuracy: 0.6755, prior_entropy: 0.9308, recall: 0.6755, relative_absolute_error: 0.8288, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.434, root_relative_squared_error: 0.9135, scimark_benchmark: 944.2422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, build_cpu_time: 0.0441, build_memory: 339437817.3775, f_measure: 0.6566, kappa: 0.2209, kb_relative_information_score: 26.9056, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6561, predictive_accuracy: 0.6755, prior_entropy: 0.9308, recall: 0.6755, relative_absolute_error: 0.8288, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.434, root_relative_squared_error: 0.9135, scimark_benchmark: 939.8999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7259, build_cpu_time: 0.0212, build_memory: 1302676656.8477, f_measure: 0.6735, kappa: 0.26, kb_relative_information_score: 26.59, mean_absolute_error: 0.3753, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6728, predictive_accuracy: 0.6887, prior_entropy: 0.9308, recall: 0.6887, relative_absolute_error: 0.83, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.9192, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7157, build_cpu_time: 0.0123, build_memory: 1688805173.404, f_measure: 0.6987, kappa: 0.3163, kb_relative_information_score: 26.2434, mean_absolute_error: 0.3747, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7025, predictive_accuracy: 0.7152, prior_entropy: 0.9308, recall: 0.7152, relative_absolute_error: 0.8287, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.925, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, build_cpu_time: 0.0059, build_memory: 55970182.1457, f_measure: 0.7697, kappa: 0.4936, kb_relative_information_score: 52.1644, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7718, predictive_accuracy: 0.7682, prior_entropy: 0.9308, recall: 0.7682, relative_absolute_error: 0.6538, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4254, root_relative_squared_error: 0.8952, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, build_cpu_time: 0.0049, build_memory: 594210953.3245, f_measure: 0.7697, kappa: 0.4936, kb_relative_information_score: 52.1644, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7718, predictive_accuracy: 0.7682, prior_entropy: 0.9308, recall: 0.7682, relative_absolute_error: 0.6538, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4254, root_relative_squared_error: 0.8952, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, build_cpu_time: 0.005, build_memory: 1129862154.649, f_measure: 0.7697, kappa: 0.4936, kb_relative_information_score: 52.1644, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7718, predictive_accuracy: 0.7682, prior_entropy: 0.9308, recall: 0.7682, relative_absolute_error: 0.6538, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4254, root_relative_squared_error: 0.8952, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7849, build_cpu_time: 0.0101, build_memory: 460253029.7219, f_measure: 0.7604, kappa: 0.4672, kb_relative_information_score: 52.6166, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7596, predictive_accuracy: 0.7616, prior_entropy: 0.9308, recall: 0.7616, relative_absolute_error: 0.6536, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.8851, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, build_cpu_time: 0.0439, build_memory: 139830887.2053, f_measure: 0.7932, kappa: 0.539, kb_relative_information_score: 55.0716, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7923, predictive_accuracy: 0.7947, prior_entropy: 0.9308, recall: 0.7947, relative_absolute_error: 0.645, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8603, scimark_benchmark: 946.5543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, build_cpu_time: 3.7015, build_memory: 1425733893.8808, f_measure: 0.7738, kappa: 0.4968, kb_relative_information_score: 46.1455, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.773, predictive_accuracy: 0.7748, prior_entropy: 0.9308, recall: 0.7748, relative_absolute_error: 0.71, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8606, scimark_benchmark: 945.8546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, build_cpu_time: 1.0721, build_memory: 1278471067.2848, f_measure: 0.7786, kappa: 0.5047, kb_relative_information_score: 46.6331, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7776, predictive_accuracy: 0.7815, prior_entropy: 0.9308, recall: 0.7815, relative_absolute_error: 0.7077, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8605, scimark_benchmark: 921.6453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, build_cpu_time: 0.4795, build_memory: 684858335.2583, f_measure: 0.7859, kappa: 0.522, kb_relative_information_score: 45.8919, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.785, predictive_accuracy: 0.7881, prior_entropy: 0.9308, recall: 0.7881, relative_absolute_error: 0.7104, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.411, root_relative_squared_error: 0.865, scimark_benchmark: 921.8458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, build_cpu_time: 0.3115, build_memory: 2221757770.0133, f_measure: 0.7503, kappa: 0.4395, kb_relative_information_score: 45.9538, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7491, predictive_accuracy: 0.755, prior_entropy: 0.9308, recall: 0.755, relative_absolute_error: 0.7057, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.411, root_relative_squared_error: 0.865, scimark_benchmark: 947.2295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5824, build_cpu_time: 0.0011, build_memory: 992367192, f_measure: 0.6199, kappa: 0.1371, kb_relative_information_score: 19.0428, mean_absolute_error: 0.3868, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.616, predictive_accuracy: 0.6424, prior_entropy: 0.9308, recall: 0.6424, relative_absolute_error: 0.8553, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0599, scimark_benchmark: 926.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5824, build_cpu_time: 0.0021, build_memory: 1477162720, f_measure: 0.6199, kappa: 0.1371, kb_relative_information_score: 19.0428, mean_absolute_error: 0.3868, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.616, predictive_accuracy: 0.6424, prior_entropy: 0.9308, recall: 0.6424, relative_absolute_error: 0.8553, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0599, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5824, build_cpu_time: 0.0022, build_memory: 44671956.3974, f_measure: 0.6199, kappa: 0.1371, kb_relative_information_score: 19.0428, mean_absolute_error: 0.3868, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.616, predictive_accuracy: 0.6424, prior_entropy: 0.9308, recall: 0.6424, relative_absolute_error: 0.8553, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0599, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, build_cpu_time: 0.1543, build_memory: 794570860.9272, f_measure: 0.75, kappa: 0.4323, kb_relative_information_score: 33.9291, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7693, predictive_accuracy: 0.7682, prior_entropy: 0.9308, recall: 0.7682, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.8869, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, build_cpu_time: 0.0045, build_memory: 856241350.0927, f_measure: 0.6643, kappa: 0.2376, kb_relative_information_score: 25.6424, mean_absolute_error: 0.3717, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6698, predictive_accuracy: 0.6887, prior_entropy: 0.9308, recall: 0.6887, relative_absolute_error: 0.822, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4723, root_relative_squared_error: 0.994, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7527, build_cpu_time: 0.0642, build_memory: 451712545.9073, f_measure: 0.71, kappa: 0.3416, kb_relative_information_score: 32.5734, mean_absolute_error: 0.3615, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7185, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.7994, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.9011, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6437, build_cpu_time: 0.0339, build_memory: 390418975.0464, f_measure: 0.6874, kappa: 0.2915, kb_relative_information_score: 20.9162, mean_absolute_error: 0.395, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6879, predictive_accuracy: 0.702, prior_entropy: 0.9308, recall: 0.702, relative_absolute_error: 0.8736, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.957, scimark_benchmark: 932.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, build_cpu_time: 0.0079, build_memory: 278741142.5166, f_measure: 0.7942, kappa: 0.5433, kb_relative_information_score: 78.7731, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7938, predictive_accuracy: 0.7947, prior_entropy: 0.9308, recall: 0.7947, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.9353, scimark_benchmark: 939.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, build_cpu_time: 0.0072, build_memory: 539337125.0861, f_measure: 0.7942, kappa: 0.5433, kb_relative_information_score: 78.7731, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7938, predictive_accuracy: 0.7947, prior_entropy: 0.9308, recall: 0.7947, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.9353, scimark_benchmark: 947.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6368, build_cpu_time: 0.0188, build_memory: 278223071.894, f_measure: 0.6874, kappa: 0.2915, kb_relative_information_score: 21.5591, mean_absolute_error: 0.3937, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6879, predictive_accuracy: 0.702, prior_entropy: 0.9308, recall: 0.702, relative_absolute_error: 0.8705, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9568, scimark_benchmark: 906.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7224, build_cpu_time: 8.5117, build_memory: 600878326.4106, f_measure: 0.7349, kappa: 0.3988, kb_relative_information_score: 34.9186, mean_absolute_error: 0.3519, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7408, predictive_accuracy: 0.7483, prior_entropy: 0.9308, recall: 0.7483, relative_absolute_error: 0.7783, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.9166, scimark_benchmark: 931.2177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7298, build_cpu_time: 16.3789, build_memory: 790875239.6291, f_measure: 0.7349, kappa: 0.3988, kb_relative_information_score: 35.381, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7408, predictive_accuracy: 0.7483, prior_entropy: 0.9308, recall: 0.7483, relative_absolute_error: 0.7756, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.9117, scimark_benchmark: 942.7079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, build_cpu_time: 0.0203, build_memory: 712132123.7086, f_measure: 0.6735, kappa: 0.26, kb_relative_information_score: 18.8265, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6728, predictive_accuracy: 0.6887, prior_entropy: 0.9308, recall: 0.6887, relative_absolute_error: 0.8874, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.446, root_relative_squared_error: 0.9385, scimark_benchmark: 940.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, build_cpu_time: 0.0113, build_memory: 943998043.9735, f_measure: 0.6679, kappa: 0.248, kb_relative_information_score: 19.0053, mean_absolute_error: 0.4005, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6661, predictive_accuracy: 0.6821, prior_entropy: 0.9308, recall: 0.6821, relative_absolute_error: 0.8857, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.9378, scimark_benchmark: 928.9619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, build_cpu_time: 0.0076, build_memory: 41809505.5894, f_measure: 0.6679, kappa: 0.248, kb_relative_information_score: 19.6835, mean_absolute_error: 0.399, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6661, predictive_accuracy: 0.6821, prior_entropy: 0.9308, recall: 0.6821, relative_absolute_error: 0.8823, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.9362, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, build_cpu_time: 0.0057, build_memory: 26164145.1656, f_measure: 0.693, kappa: 0.3039, kb_relative_information_score: 19.6402, mean_absolute_error: 0.3982, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.695, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.8805, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4468, root_relative_squared_error: 0.9402, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6702, build_cpu_time: 0.0019, build_memory: 1873895836.3974, f_measure: 0.6735, kappa: 0.26, kb_relative_information_score: 20.4435, mean_absolute_error: 0.3946, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6728, predictive_accuracy: 0.6887, prior_entropy: 0.9308, recall: 0.6887, relative_absolute_error: 0.8727, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4505, root_relative_squared_error: 0.9481, scimark_benchmark: 944.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, build_cpu_time: 0.2808, build_memory: 2463068117.245, f_measure: 0.7274, kappa: 0.3853, kb_relative_information_score: 37.2104, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7266, predictive_accuracy: 0.7351, prior_entropy: 0.9308, recall: 0.7351, relative_absolute_error: 0.7657, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.9009, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7486, build_cpu_time: 0.6904, build_memory: 1057228727.6291, f_measure: 0.7232, kappa: 0.3733, kb_relative_information_score: 38.2493, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7255, predictive_accuracy: 0.7351, prior_entropy: 0.9308, recall: 0.7351, relative_absolute_error: 0.7607, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.8941, scimark_benchmark: 942.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, build_cpu_time: 1.4892, build_memory: 103485678.7815, f_measure: 0.7174, kappa: 0.3608, kb_relative_information_score: 35.1211, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7183, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8967, scimark_benchmark: 1212.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7607, build_cpu_time: 2.4921, build_memory: 153752720.6358, f_measure: 0.7094, kappa: 0.342, kb_relative_information_score: 34.8504, mean_absolute_error: 0.3533, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7107, predictive_accuracy: 0.7219, prior_entropy: 0.9308, recall: 0.7219, relative_absolute_error: 0.7813, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.8956, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.765, build_cpu_time: 4.8554, build_memory: 403237596.2384, f_measure: 0.7037, kappa: 0.3296, kb_relative_information_score: 34.7667, mean_absolute_error: 0.3531, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7036, predictive_accuracy: 0.7152, prior_entropy: 0.9308, recall: 0.7152, relative_absolute_error: 0.7808, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.893, scimark_benchmark: 943.3898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, build_cpu_time: 0.3374, build_memory: 219026180.4503, f_measure: 0.7423, kappa: 0.4306, kb_relative_information_score: 60.5191, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7429, predictive_accuracy: 0.7417, prior_entropy: 0.9308, recall: 0.7417, relative_absolute_error: 0.5737, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5033, root_relative_squared_error: 1.0591, scimark_benchmark: 909.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7815, build_cpu_time: 0.2154, build_memory: 1110087098.2252, f_measure: 0.7411, kappa: 0.4254, kb_relative_information_score: 62.2128, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7406, predictive_accuracy: 0.7417, prior_entropy: 0.9308, recall: 0.7417, relative_absolute_error: 0.5643, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4943, root_relative_squared_error: 1.0402, scimark_benchmark: 945.8914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, build_cpu_time: 0.0869, build_memory: 860143422.3576, f_measure: 0.7338, kappa: 0.408, kb_relative_information_score: 59.2372, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7328, predictive_accuracy: 0.7351, prior_entropy: 0.9308, recall: 0.7351, relative_absolute_error: 0.5783, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.497, root_relative_squared_error: 1.046, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7659, build_cpu_time: 0.0448, build_memory: 220093018.8609, f_measure: 0.7683, kappa: 0.4775, kb_relative_information_score: 69.0117, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7693, predictive_accuracy: 0.7748, prior_entropy: 0.9308, recall: 0.7748, relative_absolute_error: 0.5255, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4593, root_relative_squared_error: 0.9667, scimark_benchmark: 943.8925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, build_cpu_time: 0.0284, build_memory: 366103773.7748, f_measure: 0.745, kappa: 0.4231, kb_relative_information_score: 64.101, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7477, predictive_accuracy: 0.755, prior_entropy: 0.9308, recall: 0.755, relative_absolute_error: 0.5483, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.979, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, build_cpu_time: 0.0231, build_memory: 1192081622.3046, f_measure: 0.745, kappa: 0.4231, kb_relative_information_score: 64.101, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7477, predictive_accuracy: 0.755, prior_entropy: 0.9308, recall: 0.755, relative_absolute_error: 0.5483, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.979, scimark_benchmark: 942.6202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, build_cpu_time: 0.5613, build_memory: 131360316.6093, f_measure: 0.7254, kappa: 0.3794, kb_relative_information_score: 34.1612, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7259, predictive_accuracy: 0.7351, prior_entropy: 0.9308, recall: 0.7351, relative_absolute_error: 0.7816, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.9001, scimark_benchmark: 919.5447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7677, build_cpu_time: 0.1494, build_memory: 366752801.9073, f_measure: 0.7546, kappa: 0.4468, kb_relative_information_score: 39.2139, mean_absolute_error: 0.339, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7551, predictive_accuracy: 0.7616, prior_entropy: 0.9308, recall: 0.7616, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4229, root_relative_squared_error: 0.89, scimark_benchmark: 937.2988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7677, build_cpu_time: 0.144, build_memory: 1160813269.8808, f_measure: 0.7546, kappa: 0.4468, kb_relative_information_score: 39.2139, mean_absolute_error: 0.339, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7551, predictive_accuracy: 0.7616, prior_entropy: 0.9308, recall: 0.7616, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4229, root_relative_squared_error: 0.89, scimark_benchmark: 943.7049,

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