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OpenML
Task
Supervised Classification on fri_c0_500_25

Supervised Classification on fri_c0_500_25

Task 3789 Supervised Classification fri_c0_500_25 554 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6767, f_measure: 0.642, kappa: 0.2841, kb_relative_information_score: 107.151, mean_absolute_error: 0.3975, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.6423, predictive_accuracy: 0.642, prior_entropy: 0.9997, recall: 0.642, relative_absolute_error: 0.7953, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0003, scimark_benchmark: 1324.8395, usercpu_time_millis: 100, usercpu_time_millis_testing: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7323, f_measure: 0.7155, kappa: 0.4605, kb_relative_information_score: 227.8431, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7845, predictive_accuracy: 0.728, prior_entropy: 0.9997, recall: 0.728, relative_absolute_error: 0.5442, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5215, root_relative_squared_error: 1.0433, scimark_benchmark: 1442.7264, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7555, f_measure: 0.754, kappa: 0.5135, kb_relative_information_score: 257.8603, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7722, predictive_accuracy: 0.758, prior_entropy: 0.9997, recall: 0.758, relative_absolute_error: 0.4842, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.9841, scimark_benchmark: 1333.5799, usercpu_time_millis: 170, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.796, kappa: 0.5918, kb_relative_information_score: 295.882, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.796, predictive_accuracy: 0.796, prior_entropy: 0.9997, recall: 0.796, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9035, scimark_benchmark: 1337.7959, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.7959, kappa: 0.5916, kb_relative_information_score: 223.6003, mean_absolute_error: 0.2926, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7961, predictive_accuracy: 0.796, prior_entropy: 0.9997, recall: 0.796, relative_absolute_error: 0.5854, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.7417, scimark_benchmark: 930.5999, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.792, kappa: 0.5838, kb_relative_information_score: 291.8797, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.792, predictive_accuracy: 0.792, prior_entropy: 0.9997, recall: 0.792, relative_absolute_error: 0.4162, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9123, scimark_benchmark: 942.9518, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.8139, kappa: 0.6276, kb_relative_information_score: 260.9915, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8143, predictive_accuracy: 0.814, prior_entropy: 0.9997, recall: 0.814, relative_absolute_error: 0.5006, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7257, scimark_benchmark: 892.0148, usercpu_time_millis: 5280, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 5160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.7919, kappa: 0.5836, kb_relative_information_score: 291.8797, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7922, predictive_accuracy: 0.792, prior_entropy: 0.9997, recall: 0.792, relative_absolute_error: 0.4162, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9123, scimark_benchmark: 918.6491, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.786, kappa: 0.5719, kb_relative_information_score: 200.0611, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.786, predictive_accuracy: 0.786, prior_entropy: 0.9997, recall: 0.786, relative_absolute_error: 0.6308, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.7765, scimark_benchmark: 1028.5889, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.786, kappa: 0.5719, kb_relative_information_score: 204.689, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.786, predictive_accuracy: 0.786, prior_entropy: 0.9997, recall: 0.786, relative_absolute_error: 0.6209, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.7754, scimark_benchmark: 1290.1085, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.786, kappa: 0.5719, kb_relative_information_score: 202.5463, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.786, predictive_accuracy: 0.786, prior_entropy: 0.9997, recall: 0.786, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7759, scimark_benchmark: 1290.1085, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.75, kappa: 0.5, kb_relative_information_score: 205.0162, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7502, predictive_accuracy: 0.75, prior_entropy: 0.9997, recall: 0.75, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8574, scimark_benchmark: 928.7845, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.8415, kappa: 0.6833, kb_relative_information_score: 193.355, mean_absolute_error: 0.3306, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8446, predictive_accuracy: 0.842, prior_entropy: 0.9997, recall: 0.842, relative_absolute_error: 0.6615, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7322, scimark_benchmark: 1315.0767, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.682, kappa: 0.364, kb_relative_information_score: 181.8167, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.6822, predictive_accuracy: 0.682, prior_entropy: 0.9997, recall: 0.682, relative_absolute_error: 0.6363, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5639, root_relative_squared_error: 1.1281, scimark_benchmark: 1346.9602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.7533, kappa: 0.5069, kb_relative_information_score: 215.6863, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7557, predictive_accuracy: 0.754, prior_entropy: 0.9997, recall: 0.754, relative_absolute_error: 0.5907, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8559, scimark_benchmark: 1369.9744, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.7499, kappa: 0.4996, kb_relative_information_score: 201.8006, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.75, predictive_accuracy: 0.75, prior_entropy: 0.9997, recall: 0.75, relative_absolute_error: 0.6217, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.8953, scimark_benchmark: 1355.7054, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6742, f_measure: 0.6651, kappa: 0.3509, kb_relative_information_score: 177.8144, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7043, predictive_accuracy: 0.678, prior_entropy: 0.9997, recall: 0.678, relative_absolute_error: 0.6443, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5675, root_relative_squared_error: 1.1351, scimark_benchmark: 1341.5768, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3445, kb_relative_information_score: 9.7182, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.2601, predictive_accuracy: 0.51, prior_entropy: 0.9997, recall: 0.51, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7, root_relative_squared_error: 1.4003, scimark_benchmark: 1337.7959, usercpu_time_millis: 250, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7737, f_measure: 0.744, kappa: 0.4878, kb_relative_information_score: 234.2484, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.744, predictive_accuracy: 0.744, prior_entropy: 0.9997, recall: 0.744, relative_absolute_error: 0.5369, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4721, root_relative_squared_error: 0.9444, scimark_benchmark: 1358.4523, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.672, f_measure: 0.672, kappa: 0.3439, kb_relative_information_score: 171.811, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.6721, predictive_accuracy: 0.672, prior_entropy: 0.9997, recall: 0.672, relative_absolute_error: 0.6563, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5727, root_relative_squared_error: 1.1457, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7491, f_measure: 0.7493, kappa: 0.499, kb_relative_information_score: 249.8557, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7514, predictive_accuracy: 0.75, prior_entropy: 0.9997, recall: 0.75, relative_absolute_error: 0.5002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0002, scimark_benchmark: 1353.5686, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.3445, kb_relative_information_score: -0.0327, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.2601, predictive_accuracy: 0.51, prior_entropy: 0.9997, recall: 0.51, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, scimark_benchmark: 1418.5826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.76, kappa: 0.5201, kb_relative_information_score: 258.655, mean_absolute_error: 0.2419, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7604, predictive_accuracy: 0.76, prior_entropy: 0.9997, recall: 0.76, relative_absolute_error: 0.484, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9467, scimark_benchmark: 1605.6303, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.8058, kappa: 0.6115, kb_relative_information_score: 314.1878, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8064, predictive_accuracy: 0.806, prior_entropy: 0.9997, recall: 0.806, relative_absolute_error: 0.3696, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.824, scimark_benchmark: 927.0753, usercpu_time_millis: 160, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8479, kappa: 0.6957, kb_relative_information_score: 346.0007, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8483, predictive_accuracy: 0.848, prior_entropy: 0.9997, recall: 0.848, relative_absolute_error: 0.3085, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7434, scimark_benchmark: 945.6434, usercpu_time_millis: 340, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.86, kappa: 0.7199, kb_relative_information_score: 355.7708, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9997, recall: 0.86, relative_absolute_error: 0.2901, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.7247, scimark_benchmark: 876.8277, usercpu_time_millis: 720, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.85, kappa: 0.7, kb_relative_information_score: 343.9852, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8501, predictive_accuracy: 0.85, prior_entropy: 0.9997, recall: 0.85, relative_absolute_error: 0.3148, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.7283, scimark_benchmark: 945.6434, usercpu_time_millis: 410, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.854, kappa: 0.708, kb_relative_information_score: 341.371, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8541, predictive_accuracy: 0.854, prior_entropy: 0.9997, recall: 0.854, relative_absolute_error: 0.3221, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7074, scimark_benchmark: 894.7455, usercpu_time_millis: 430, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.84, kappa: 0.6798, kb_relative_information_score: 336.2087, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9997, recall: 0.84, relative_absolute_error: 0.3295, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.7372, scimark_benchmark: 940.2922, usercpu_time_millis: 810, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.844, kappa: 0.6881, kb_relative_information_score: 327.813, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8447, predictive_accuracy: 0.844, prior_entropy: 0.9997, recall: 0.844, relative_absolute_error: 0.3483, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.726, scimark_benchmark: 938.2848, usercpu_time_millis: 400, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.828, kappa: 0.6561, kb_relative_information_score: 318.418, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8287, predictive_accuracy: 0.828, prior_entropy: 0.9997, recall: 0.828, relative_absolute_error: 0.3674, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7241, scimark_benchmark: 911.3823, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.7613, kappa: 0.5251, kb_relative_information_score: 257.1772, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7673, predictive_accuracy: 0.762, prior_entropy: 0.9997, recall: 0.762, relative_absolute_error: 0.4903, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.856, scimark_benchmark: 933.8635, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.82, kappa: 0.6401, kb_relative_information_score: 308.1978, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8207, predictive_accuracy: 0.82, prior_entropy: 0.9997, recall: 0.82, relative_absolute_error: 0.3886, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.748, scimark_benchmark: 933.8635, usercpu_time_millis: 580, usercpu_time_millis_training: 580,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, build_cpu_time: 0.2147, build_memory: 361640466.4, f_measure: 0.8298, kappa: 0.6595, kb_relative_information_score: 191.2486, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8307, predictive_accuracy: 0.83, prior_entropy: 0.9997, recall: 0.83, relative_absolute_error: 0.6654, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.7372, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, build_cpu_time: 0.2073, build_memory: 1150443632, f_measure: 0.8298, kappa: 0.6595, kb_relative_information_score: 191.2486, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8307, predictive_accuracy: 0.83, prior_entropy: 0.9997, recall: 0.83, relative_absolute_error: 0.6654, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.7372, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, build_cpu_time: 0.2332, build_memory: 1810019151.2, f_measure: 0.8298, kappa: 0.6595, kb_relative_information_score: 191.2486, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8307, predictive_accuracy: 0.83, prior_entropy: 0.9997, recall: 0.83, relative_absolute_error: 0.6654, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.7372, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, build_cpu_time: 0.226, build_memory: 586568952, f_measure: 0.8298, kappa: 0.6595, kb_relative_information_score: 191.2486, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8307, predictive_accuracy: 0.83, prior_entropy: 0.9997, recall: 0.83, relative_absolute_error: 0.6654, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.7372, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, build_cpu_time: 0.2091, build_memory: 794010608, f_measure: 0.8298, kappa: 0.6595, kb_relative_information_score: 191.2486, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8307, predictive_accuracy: 0.83, prior_entropy: 0.9997, recall: 0.83, relative_absolute_error: 0.6654, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.7372, scimark_benchmark: 915.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7861, build_cpu_time: 0.528, build_memory: 820454332.8, f_measure: 0.72, kappa: 0.44, kb_relative_information_score: 217.9114, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7201, predictive_accuracy: 0.72, prior_entropy: 0.9997, recall: 0.72, relative_absolute_error: 0.5645, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5155, root_relative_squared_error: 1.0312, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7826, build_cpu_time: 0.2994, build_memory: 1065350646.4, f_measure: 0.706, kappa: 0.4119, kb_relative_information_score: 208.1714, mean_absolute_error: 0.2912, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.7061, predictive_accuracy: 0.706, prior_entropy: 0.9997, recall: 0.706, relative_absolute_error: 0.5827, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5131, root_relative_squared_error: 1.0264, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7884, build_cpu_time: 0.1868, build_memory: 894953668, f_measure: 0.714, kappa: 0.4277, kb_relative_information_score: 210.1917, mean_absolute_error: 0.2903, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.714, predictive_accuracy: 0.714, prior_entropy: 0.9997, recall: 0.714, relative_absolute_error: 0.5809, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0011, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, build_cpu_time: 0.0712, build_memory: 1175872662.4, f_measure: 0.6895, kappa: 0.379, kb_relative_information_score: 182.9485, mean_absolute_error: 0.3184, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.6903, predictive_accuracy: 0.69, prior_entropy: 0.9997, recall: 0.69, relative_absolute_error: 0.637, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0039, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7235, build_cpu_time: 0.0298, build_memory: 936592118.4, f_measure: 0.674, kappa: 0.3479, kb_relative_information_score: 150.5184, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.6741, predictive_accuracy: 0.674, prior_entropy: 0.9997, recall: 0.674, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5077, root_relative_squared_error: 1.0157, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, build_cpu_time: 0.128, build_memory: 881935254.4, f_measure: 0.858, kappa: 0.7161, kb_relative_information_score: 338.2129, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8586, predictive_accuracy: 0.858, prior_entropy: 0.9997, recall: 0.858, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.6809, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, build_cpu_time: 0.2289, build_memory: 1253570016, f_measure: 0.85, kappa: 0.7, kb_relative_information_score: 337.1497, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8501, predictive_accuracy: 0.85, prior_entropy: 0.9997, recall: 0.85, relative_absolute_error: 0.3304, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.711, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, build_cpu_time: 0.3482, build_memory: 928930613.6, f_measure: 0.854, kappa: 0.708, kb_relative_information_score: 341.4288, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8541, predictive_accuracy: 0.854, prior_entropy: 0.9997, recall: 0.854, relative_absolute_error: 0.322, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7071, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, build_cpu_time: 0.3531, build_memory: 1616633498.4, f_measure: 0.854, kappa: 0.708, kb_relative_information_score: 341.371, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8541, predictive_accuracy: 0.854, prior_entropy: 0.9997, recall: 0.854, relative_absolute_error: 0.3221, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7074, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, build_cpu_time: 0.3292, build_memory: 3046980003.2, f_measure: 0.854, kappa: 0.708, kb_relative_information_score: 341.371, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8541, predictive_accuracy: 0.854, prior_entropy: 0.9997, recall: 0.854, relative_absolute_error: 0.3221, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7074, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, build_cpu_time: 39.8025, build_memory: 16129554.4, f_measure: 0.79, kappa: 0.5799, kb_relative_information_score: 281.1044, mean_absolute_error: 0.222, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.79, predictive_accuracy: 0.79, prior_entropy: 0.9997, recall: 0.79, relative_absolute_error: 0.4442, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8162, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, build_cpu_time: 80.3118, build_memory: 23082591.2, f_measure: 0.812, kappa: 0.6242, kb_relative_information_score: 302.2372, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8127, predictive_accuracy: 0.812, prior_entropy: 0.9997, recall: 0.812, relative_absolute_error: 0.3995, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8182, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, build_cpu_time: 156.2303, build_memory: 1433174468, f_measure: 0.81, kappa: 0.62, kb_relative_information_score: 309.9113, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8102, predictive_accuracy: 0.81, prior_entropy: 0.9997, recall: 0.81, relative_absolute_error: 0.3808, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.8303, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, build_cpu_time: 324.1323, build_memory: 17068624.8, f_measure: 0.824, kappa: 0.648, kb_relative_information_score: 323.6496, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8241, predictive_accuracy: 0.824, prior_entropy: 0.9997, recall: 0.824, relative_absolute_error: 0.3526, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8207, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, build_cpu_time: 648.4779, build_memory: 39573284, f_measure: 0.838, kappa: 0.6759, kb_relative_information_score: 336.6033, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8381, predictive_accuracy: 0.838, prior_entropy: 0.9997, recall: 0.838, relative_absolute_error: 0.327, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.7997, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, build_cpu_time: 50.1639, build_memory: 1035963896, f_measure: 0.842, kappa: 0.6837, kb_relative_information_score: 342.6177, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8421, predictive_accuracy: 0.842, prior_entropy: 0.9997, recall: 0.842, relative_absolute_error: 0.3146, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.7836, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, build_cpu_time: 21.7014, build_memory: 1855410924, f_measure: 0.83, kappa: 0.6598, kb_relative_information_score: 326.6555, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.83, predictive_accuracy: 0.83, prior_entropy: 0.9997, recall: 0.83, relative_absolute_error: 0.3474, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8237, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, build_cpu_time: 10.9746, build_memory: 854197745.6, f_measure: 0.814, kappa: 0.6278, kb_relative_information_score: 319.1463, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.814, predictive_accuracy: 0.814, prior_entropy: 0.9997, recall: 0.814, relative_absolute_error: 0.3609, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8175, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, build_cpu_time: 5.4179, build_memory: 136160648, f_measure: 0.8139, kappa: 0.6276, kb_relative_information_score: 314.6444, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8143, predictive_accuracy: 0.814, prior_entropy: 0.9997, recall: 0.814, relative_absolute_error: 0.3722, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8021, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, build_cpu_time: 1.2253, build_memory: 174798370.4, f_measure: 0.834, kappa: 0.6681, kb_relative_information_score: 318.8485, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.8344, predictive_accuracy: 0.834, prior_entropy: 0.9997, recall: 0.834, relative_absolute_error: 0.3665, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7527, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, build_cpu_time: 2.2926, build_memory: 965182540.8, f_measure: 0.826, kappa: 0.6519, kb_relative_information_score: 321.2738, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.826, predictive_accuracy: 0.826, prior_entropy: 0.9997, recall: 0.826, relative_absolute_error: 0.3592, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.7735, scimark_benchmark: 874.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, build_cpu_time: 4.8528, build_memory: 826912304, f_measure: 0.836, kappa: 0.6719, kb_relative_information_score: 333.045, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.836, predictive_accuracy: 0.836, prior_entropy: 0.9997, recall: 0.836, relative_absolute_error: 0.3347, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3863, root_relative_squared_error: 0.7728, 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

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From your own software

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

OpenML APIs