Task
Supervised Classification on madelon

Supervised Classification on madelon

Task 145853 Supervised Classification madelon 38804 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.7368, kappa: 0.4762, kb_relative_information_score: 404.6017, mean_absolute_error: 0.438, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7427, predictive_accuracy: 0.7381, prior_entropy: 1, recall: 0.7381, relative_absolute_error: 0.876, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4482, root_relative_squared_error: 0.8964, scimark_benchmark: 1237.2371, usercpu_time_millis: 498.847, usercpu_time_millis_testing: 10.491, usercpu_time_millis_training: 488.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6612, f_measure: 0.5992, kappa: 0.1985, kb_relative_information_score: 53.1476, mean_absolute_error: 0.4926, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5993, predictive_accuracy: 0.5992, prior_entropy: 1, recall: 0.5992, relative_absolute_error: 0.9853, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4933, root_relative_squared_error: 0.9865, scimark_benchmark: 1243.4683, usercpu_time_millis: 29.093, usercpu_time_millis_testing: 2.651, usercpu_time_millis_training: 26.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1248.1082, usercpu_time_millis: 22.956, usercpu_time_millis_testing: 2.515, usercpu_time_millis_training: 20.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.7202, kappa: 0.4431, kb_relative_information_score: 364.1646, mean_absolute_error: 0.4443, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7258, predictive_accuracy: 0.7215, prior_entropy: 1, recall: 0.7215, relative_absolute_error: 0.8886, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9086, scimark_benchmark: 1229.6546, usercpu_time_millis: 63.37, usercpu_time_millis_testing: 1.712, usercpu_time_millis_training: 61.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7102, f_measure: 0.6245, kappa: 0.2492, kb_relative_information_score: 175.7935, mean_absolute_error: 0.4742, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6248, predictive_accuracy: 0.6246, prior_entropy: 1, recall: 0.6246, relative_absolute_error: 0.9485, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4785, root_relative_squared_error: 0.9569, scimark_benchmark: 1252.492, usercpu_time_millis: 86.238, usercpu_time_millis_testing: 3.394, usercpu_time_millis_training: 82.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8496, f_measure: 0.7591, kappa: 0.5208, kb_relative_information_score: 500.5881, mean_absolute_error: 0.4221, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7659, predictive_accuracy: 0.7604, prior_entropy: 1, recall: 0.7604, relative_absolute_error: 0.8443, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.8704, scimark_benchmark: 1242.8514, usercpu_time_millis: 989.291, usercpu_time_millis_testing: 12.821, usercpu_time_millis_training: 976.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1244.19, usercpu_time_millis: 14.941, usercpu_time_millis_testing: 1.636, usercpu_time_millis_training: 13.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1251.3584, usercpu_time_millis: 11.195, usercpu_time_millis_testing: 1.221, usercpu_time_millis_training: 9.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.7377, kappa: 0.4777, kb_relative_information_score: 379.5133, mean_absolute_error: 0.4424, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.743, predictive_accuracy: 0.7388, prior_entropy: 1, recall: 0.7388, relative_absolute_error: 0.8849, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4507, root_relative_squared_error: 0.9015, scimark_benchmark: 1252.7908, usercpu_time_millis: 904.556, usercpu_time_millis_testing: 22.266, usercpu_time_millis_training: 882.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6651, f_measure: 0.5975, kappa: 0.1954, kb_relative_information_score: 38.5492, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5979, predictive_accuracy: 0.5977, prior_entropy: 1, recall: 0.5977, relative_absolute_error: 0.9894, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.495, root_relative_squared_error: 0.99, scimark_benchmark: 1235.2359, usercpu_time_millis: 37.581, usercpu_time_millis_testing: 3.57, usercpu_time_millis_training: 34.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7704, f_measure: 0.6936, kappa: 0.3885, kb_relative_information_score: 266.2503, mean_absolute_error: 0.4603, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6958, predictive_accuracy: 0.6942, prior_entropy: 1, recall: 0.6942, relative_absolute_error: 0.9207, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9323, scimark_benchmark: 1251.6374, usercpu_time_millis: 166.326, usercpu_time_millis_testing: 6.644, usercpu_time_millis_training: 159.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, f_measure: 0.7608, kappa: 0.5238, kb_relative_information_score: 500.2365, mean_absolute_error: 0.4224, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7668, predictive_accuracy: 0.7619, prior_entropy: 1, recall: 0.7619, relative_absolute_error: 0.8447, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.8697, scimark_benchmark: 1263.5234, usercpu_time_millis: 278.233, usercpu_time_millis_testing: 5.226, usercpu_time_millis_training: 273.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7023, f_measure: 0.6395, kappa: 0.2792, kb_relative_information_score: 103.2982, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6398, predictive_accuracy: 0.6396, prior_entropy: 1, recall: 0.6396, relative_absolute_error: 0.9708, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4868, root_relative_squared_error: 0.9737, scimark_benchmark: 1252.0455, usercpu_time_millis: 200.56, usercpu_time_millis_testing: 11.532, usercpu_time_millis_training: 189.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.7549, kappa: 0.5123, kb_relative_information_score: 493.7654, mean_absolute_error: 0.4233, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7616, predictive_accuracy: 0.7562, prior_entropy: 1, recall: 0.7562, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.8721, scimark_benchmark: 1245.1515, usercpu_time_millis: 411.771, usercpu_time_millis_testing: 7.863, usercpu_time_millis_training: 403.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, f_measure: 0.7132, kappa: 0.4277, kb_relative_information_score: 312.4126, mean_absolute_error: 0.4532, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7157, predictive_accuracy: 0.7138, prior_entropy: 1, recall: 0.7138, relative_absolute_error: 0.9063, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.46, root_relative_squared_error: 0.9199, scimark_benchmark: 1253.2398, usercpu_time_millis: 249.457, usercpu_time_millis_testing: 7.543, usercpu_time_millis_training: 241.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6599, f_measure: 0.6002, kappa: 0.2008, kb_relative_information_score: 60.5726, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6005, predictive_accuracy: 0.6004, prior_entropy: 1, recall: 0.6004, relative_absolute_error: 0.9832, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9848, scimark_benchmark: 1242.924, usercpu_time_millis: 45.101, usercpu_time_millis_testing: 3.511, usercpu_time_millis_training: 41.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7705, f_measure: 0.6949, kappa: 0.3923, kb_relative_information_score: 288.3771, mean_absolute_error: 0.4567, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6994, predictive_accuracy: 0.6962, prior_entropy: 1, recall: 0.6962, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9272, scimark_benchmark: 1258.0178, usercpu_time_millis: 168.737, usercpu_time_millis_testing: 4.28, usercpu_time_millis_training: 164.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.763, f_measure: 0.6863, kappa: 0.3746, kb_relative_information_score: 240.2175, mean_absolute_error: 0.4645, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6897, predictive_accuracy: 0.6873, prior_entropy: 1, recall: 0.6873, relative_absolute_error: 0.9291, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4694, root_relative_squared_error: 0.9388, scimark_benchmark: 1248.4012, usercpu_time_millis: 361.171, usercpu_time_millis_testing: 10.033, usercpu_time_millis_training: 351.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.7311, kappa: 0.4646, kb_relative_information_score: 381.4313, mean_absolute_error: 0.4419, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7366, predictive_accuracy: 0.7323, prior_entropy: 1, recall: 0.7323, relative_absolute_error: 0.8838, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.451, root_relative_squared_error: 0.9021, scimark_benchmark: 1231.0075, usercpu_time_millis: 539.69, usercpu_time_millis_testing: 10.816, usercpu_time_millis_training: 528.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7531, f_measure: 0.6732, kappa: 0.3477, kb_relative_information_score: 215.0734, mean_absolute_error: 0.4685, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6751, predictive_accuracy: 0.6738, prior_entropy: 1, recall: 0.6738, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4726, root_relative_squared_error: 0.9452, scimark_benchmark: 1263.1947, usercpu_time_millis: 362.828, usercpu_time_millis_testing: 12.269, usercpu_time_millis_training: 350.559,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.6181, kappa: 0.2362, kb_relative_information_score: 82.0149, mean_absolute_error: 0.4885, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6181, predictive_accuracy: 0.6181, prior_entropy: 1, recall: 0.6181, relative_absolute_error: 0.977, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4895, root_relative_squared_error: 0.9791, scimark_benchmark: 1252.9763, usercpu_time_millis: 51.508, usercpu_time_millis_testing: 3.159, usercpu_time_millis_training: 48.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7039, f_measure: 0.6173, kappa: 0.2346, kb_relative_information_score: 143.5111, mean_absolute_error: 0.4792, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6173, predictive_accuracy: 0.6173, prior_entropy: 1, recall: 0.6173, relative_absolute_error: 0.9585, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4821, root_relative_squared_error: 0.9643, scimark_benchmark: 1248.5913, usercpu_time_millis: 21.272, usercpu_time_millis_testing: 1.484, usercpu_time_millis_training: 19.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7756, kappa: 0.5523, kb_relative_information_score: 586.3739, mean_absolute_error: 0.4074, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7788, predictive_accuracy: 0.7762, prior_entropy: 1, recall: 0.7762, relative_absolute_error: 0.8148, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.8482, scimark_benchmark: 1241.3988, usercpu_time_millis: 187.428, usercpu_time_millis_testing: 3.145, usercpu_time_millis_training: 184.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.6925, kappa: 0.3885, kb_relative_information_score: 296.2812, mean_absolute_error: 0.4553, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6986, predictive_accuracy: 0.6942, prior_entropy: 1, recall: 0.6942, relative_absolute_error: 0.9106, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.463, root_relative_squared_error: 0.926, scimark_benchmark: 1241.8124, usercpu_time_millis: 215.202, usercpu_time_millis_testing: 5.335, usercpu_time_millis_training: 209.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7639, f_measure: 0.6818, kappa: 0.3662, kb_relative_information_score: 246.4139, mean_absolute_error: 0.4635, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.686, predictive_accuracy: 0.6831, prior_entropy: 1, recall: 0.6831, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4687, root_relative_squared_error: 0.9373, scimark_benchmark: 1243.4141, usercpu_time_millis: 228.863, usercpu_time_millis_testing: 6.086, usercpu_time_millis_training: 222.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.7945, kappa: 0.59, kb_relative_information_score: 653.2304, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7981, predictive_accuracy: 0.795, prior_entropy: 1, recall: 0.795, relative_absolute_error: 0.7927, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.8278, scimark_benchmark: 1247.2864, usercpu_time_millis: 1211.817, usercpu_time_millis_testing: 15.7, usercpu_time_millis_training: 1196.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.7145, kappa: 0.4315, kb_relative_information_score: 319.6458, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7197, predictive_accuracy: 0.7158, prior_entropy: 1, recall: 0.7158, relative_absolute_error: 0.904, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4591, root_relative_squared_error: 0.9182, scimark_benchmark: 1259.7533, usercpu_time_millis: 693.372, usercpu_time_millis_testing: 14.98, usercpu_time_millis_training: 678.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6698, f_measure: 0.6145, kappa: 0.2292, kb_relative_information_score: 70.5833, mean_absolute_error: 0.4901, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6147, predictive_accuracy: 0.6146, prior_entropy: 1, recall: 0.6146, relative_absolute_error: 0.9802, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4911, root_relative_squared_error: 0.9821, scimark_benchmark: 1237.1845, usercpu_time_millis: 140.094, usercpu_time_millis_testing: 9.407, usercpu_time_millis_training: 130.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.7682, kappa: 0.5385, kb_relative_information_score: 561.4721, mean_absolute_error: 0.4117, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7739, predictive_accuracy: 0.7692, prior_entropy: 1, recall: 0.7692, relative_absolute_error: 0.8235, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.8543, scimark_benchmark: 1260.4051, usercpu_time_millis: 909.442, usercpu_time_millis_testing: 14.025, usercpu_time_millis_training: 895.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7304, f_measure: 0.6512, kappa: 0.3038, kb_relative_information_score: 194.3931, mean_absolute_error: 0.4715, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6533, predictive_accuracy: 0.6519, prior_entropy: 1, recall: 0.6519, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4756, root_relative_squared_error: 0.9513, scimark_benchmark: 1243.3992, usercpu_time_millis: 170.48, usercpu_time_millis_testing: 7.72, usercpu_time_millis_training: 162.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.6202, kappa: 0.2408, kb_relative_information_score: 108.112, mean_absolute_error: 0.4846, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6206, predictive_accuracy: 0.6204, prior_entropy: 1, recall: 0.6204, relative_absolute_error: 0.9692, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.9729, scimark_benchmark: 1253.2422, usercpu_time_millis: 16.857, usercpu_time_millis_testing: 1.561, usercpu_time_millis_training: 15.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, f_measure: 0.7571, kappa: 0.5169, kb_relative_information_score: 517.5507, mean_absolute_error: 0.4192, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7642, predictive_accuracy: 0.7585, prior_entropy: 1, recall: 0.7585, relative_absolute_error: 0.8384, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.433, root_relative_squared_error: 0.866, scimark_benchmark: 1253.4886, usercpu_time_millis: 486.12, usercpu_time_millis_testing: 8.051, usercpu_time_millis_training: 478.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7103, f_measure: 0.6232, kappa: 0.2469, kb_relative_information_score: 200.4389, mean_absolute_error: 0.4703, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6238, predictive_accuracy: 0.6235, prior_entropy: 1, recall: 0.6235, relative_absolute_error: 0.9405, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4759, root_relative_squared_error: 0.9519, scimark_benchmark: 1254.9577, usercpu_time_millis: 51.158, usercpu_time_millis_testing: 1.928, usercpu_time_millis_training: 49.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.77, f_measure: 0.7032, kappa: 0.4092, kb_relative_information_score: 306.4069, mean_absolute_error: 0.4537, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7086, predictive_accuracy: 0.7046, prior_entropy: 1, recall: 0.7046, relative_absolute_error: 0.9075, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4618, root_relative_squared_error: 0.9236, scimark_benchmark: 1260.338, usercpu_time_millis: 85.999, usercpu_time_millis_testing: 2.91, usercpu_time_millis_training: 83.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1245.7708, usercpu_time_millis: 19.406, usercpu_time_millis_testing: 2.23, usercpu_time_millis_training: 17.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6706, f_measure: 0.6034, kappa: 0.2069, kb_relative_information_score: 79.5191, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6036, predictive_accuracy: 0.6035, prior_entropy: 1, recall: 0.6035, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9802, scimark_benchmark: 1241.3386, usercpu_time_millis: 73.905, usercpu_time_millis_testing: 4.241, usercpu_time_millis_training: 69.664,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7322, f_measure: 0.6492, kappa: 0.3, kb_relative_information_score: 237.5333, mean_absolute_error: 0.4645, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6513, predictive_accuracy: 0.65, prior_entropy: 1, recall: 0.65, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.9417, scimark_benchmark: 1256.0616, usercpu_time_millis: 26.717, usercpu_time_millis_testing: 1.551, usercpu_time_millis_training: 25.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, f_measure: 0.654, kappa: 0.3108, kb_relative_information_score: 248.4066, mean_absolute_error: 0.4628, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6578, predictive_accuracy: 0.6554, prior_entropy: 1, recall: 0.6554, relative_absolute_error: 0.9256, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9393, scimark_benchmark: 1256.7302, usercpu_time_millis: 145.288, usercpu_time_millis_testing: 5.372, usercpu_time_millis_training: 139.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7412, f_measure: 0.6573, kappa: 0.3169, kb_relative_information_score: 233.0315, mean_absolute_error: 0.4654, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6606, predictive_accuracy: 0.6585, prior_entropy: 1, recall: 0.6585, relative_absolute_error: 0.9308, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.9419, scimark_benchmark: 1256.9413, usercpu_time_millis: 95.094, usercpu_time_millis_testing: 3.111, usercpu_time_millis_training: 91.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.6323, kappa: 0.2654, kb_relative_information_score: 151.6582, mean_absolute_error: 0.478, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6333, predictive_accuracy: 0.6327, prior_entropy: 1, recall: 0.6327, relative_absolute_error: 0.956, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4814, root_relative_squared_error: 0.9629, scimark_benchmark: 1275.1145, usercpu_time_millis: 114.639, usercpu_time_millis_testing: 5.508, usercpu_time_millis_training: 109.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1264.0161, usercpu_time_millis: 19.876, usercpu_time_millis_testing: 1.801, usercpu_time_millis_training: 18.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.753, kappa: 0.5077, kb_relative_information_score: 447.616, mean_absolute_error: 0.4313, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7576, predictive_accuracy: 0.7538, prior_entropy: 1, recall: 0.7538, relative_absolute_error: 0.8625, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.8832, scimark_benchmark: 1253.8438, usercpu_time_millis: 773.795, usercpu_time_millis_testing: 15.717, usercpu_time_millis_training: 758.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1274.4867, usercpu_time_millis: 22.91, usercpu_time_millis_testing: 2.623, usercpu_time_millis_training: 20.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.7717, kappa: 0.5454, kb_relative_information_score: 558.0301, mean_absolute_error: 0.4127, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7774, predictive_accuracy: 0.7727, prior_entropy: 1, recall: 0.7727, relative_absolute_error: 0.8253, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8541, scimark_benchmark: 1261.2428, usercpu_time_millis: 567.056, usercpu_time_millis_testing: 10.251, usercpu_time_millis_training: 556.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1259.5608, usercpu_time_millis: 22.093, usercpu_time_millis_testing: 2.732, usercpu_time_millis_training: 19.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.6563, kappa: 0.3146, kb_relative_information_score: 218.5557, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6592, predictive_accuracy: 0.6573, prior_entropy: 1, recall: 0.6573, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9458, scimark_benchmark: 1256.1857, usercpu_time_millis: 280.606, usercpu_time_millis_testing: 9.382, usercpu_time_millis_training: 271.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.7371, kappa: 0.4769, kb_relative_information_score: 409.9592, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7434, predictive_accuracy: 0.7385, prior_entropy: 1, recall: 0.7385, relative_absolute_error: 0.874, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.8955, scimark_benchmark: 1264.5646, usercpu_time_millis: 426.519, usercpu_time_millis_testing: 8.506, usercpu_time_millis_training: 418.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.712, f_measure: 0.6401, kappa: 0.2808, kb_relative_information_score: 141.6904, mean_absolute_error: 0.4796, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6408, predictive_accuracy: 0.6404, prior_entropy: 1, recall: 0.6404, relative_absolute_error: 0.9592, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4822, root_relative_squared_error: 0.9644, scimark_benchmark: 1253.3819, usercpu_time_millis: 108.691, usercpu_time_millis_testing: 4.801, usercpu_time_millis_training: 103.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.7066, kappa: 0.4154, kb_relative_information_score: 335.7717, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7109, predictive_accuracy: 0.7077, prior_entropy: 1, recall: 0.7077, relative_absolute_error: 0.8979, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9157, scimark_benchmark: 1256.5238, usercpu_time_millis: 268.637, usercpu_time_millis_testing: 6.638, usercpu_time_millis_training: 261.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.6514, kappa: 0.3046, kb_relative_information_score: 250.2004, mean_absolute_error: 0.4624, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6538, predictive_accuracy: 0.6523, prior_entropy: 1, recall: 0.6523, relative_absolute_error: 0.9249, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9392, scimark_benchmark: 1251.0775, usercpu_time_millis: 182.943, usercpu_time_millis_testing: 5.386, usercpu_time_millis_training: 177.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, f_measure: 0.6919, kappa: 0.3862, kb_relative_information_score: 280.7825, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6962, predictive_accuracy: 0.6931, prior_entropy: 1, recall: 0.6931, relative_absolute_error: 0.9159, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4645, root_relative_squared_error: 0.9291, scimark_benchmark: 1236.1603, usercpu_time_millis: 239.482, usercpu_time_millis_testing: 5.304, usercpu_time_millis_training: 234.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7383, kappa: 0.4792, kb_relative_information_score: 393.9203, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7444, predictive_accuracy: 0.7396, prior_entropy: 1, recall: 0.7396, relative_absolute_error: 0.8801, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4489, root_relative_squared_error: 0.8978, scimark_benchmark: 1264.2345, usercpu_time_millis: 655.586, usercpu_time_millis_testing: 14.317, usercpu_time_millis_training: 641.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.7605, kappa: 0.5231, kb_relative_information_score: 482.6976, mean_absolute_error: 0.4254, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.766, predictive_accuracy: 0.7615, prior_entropy: 1, recall: 0.7615, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8739, scimark_benchmark: 1269.365, usercpu_time_millis: 612.537, usercpu_time_millis_testing: 10.694, usercpu_time_millis_training: 601.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8415, f_measure: 0.7497, kappa: 0.5015, kb_relative_information_score: 486.3142, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.755, predictive_accuracy: 0.7508, prior_entropy: 1, recall: 0.7508, relative_absolute_error: 0.8489, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.8748, scimark_benchmark: 1271.9101, usercpu_time_millis: 327.273, usercpu_time_millis_testing: 4.576, usercpu_time_millis_training: 322.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4505, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1272.3087, usercpu_time_millis: 12.052, usercpu_time_millis_testing: 1.186, usercpu_time_millis_training: 10.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, f_measure: 0.6779, kappa: 0.3592, kb_relative_information_score: 286.9802, mean_absolute_error: 0.4566, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6834, predictive_accuracy: 0.6796, prior_entropy: 1, recall: 0.6796, relative_absolute_error: 0.9133, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9293, scimark_benchmark: 1270.6307, usercpu_time_millis: 173.885, usercpu_time_millis_testing: 5.236, usercpu_time_millis_training: 168.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7474, f_measure: 0.6655, kappa: 0.3323, kb_relative_information_score: 199.7105, mean_absolute_error: 0.4708, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6675, predictive_accuracy: 0.6662, prior_entropy: 1, recall: 0.6662, relative_absolute_error: 0.9417, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9491, scimark_benchmark: 1248.6005, usercpu_time_millis: 528.529, usercpu_time_millis_testing: 17.048, usercpu_time_millis_training: 511.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.6846, kappa: 0.3715, kb_relative_information_score: 318.6773, mean_absolute_error: 0.4515, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6884, predictive_accuracy: 0.6858, prior_entropy: 1, recall: 0.6858, relative_absolute_error: 0.9029, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4606, root_relative_squared_error: 0.9212, scimark_benchmark: 1266.6767, usercpu_time_millis: 69.172, usercpu_time_millis_testing: 2.133, usercpu_time_millis_training: 67.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1273.1665, usercpu_time_millis: 10.479, usercpu_time_millis_testing: 1.088, usercpu_time_millis_training: 9.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5912, f_measure: 0.5694, kappa: 0.14, kb_relative_information_score: 59.4219, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5704, predictive_accuracy: 0.57, prior_entropy: 1, recall: 0.57, relative_absolute_error: 0.9829, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4946, root_relative_squared_error: 0.9891, scimark_benchmark: 1317.9163, usercpu_time_millis: 465.297, usercpu_time_millis_testing: 6.087, usercpu_time_millis_training: 459.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, f_measure: 0.7545, kappa: 0.5108, kb_relative_information_score: 662.4078, mean_absolute_error: 0.3915, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7591, predictive_accuracy: 0.7554, prior_entropy: 1, recall: 0.7554, relative_absolute_error: 0.7831, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8415, scimark_benchmark: 1232.9793, usercpu_time_millis: 342.303, usercpu_time_millis_testing: 2.127, usercpu_time_millis_training: 340.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6723, f_measure: 0.6165, kappa: 0.2331, kb_relative_information_score: 52.573, mean_absolute_error: 0.4927, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6166, predictive_accuracy: 0.6165, prior_entropy: 1, recall: 0.6165, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4932, root_relative_squared_error: 0.9865, scimark_benchmark: 1239.022, usercpu_time_millis: 108.465, usercpu_time_millis_testing: 7.788, usercpu_time_millis_training: 100.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6965, f_measure: 0.6222, kappa: 0.2446, kb_relative_information_score: 104.2772, mean_absolute_error: 0.4852, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6224, predictive_accuracy: 0.6223, prior_entropy: 1, recall: 0.6223, relative_absolute_error: 0.9704, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4868, root_relative_squared_error: 0.9736, scimark_benchmark: 1245.6339, usercpu_time_millis: 66.123, usercpu_time_millis_testing: 3.414, usercpu_time_millis_training: 62.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.7342, kappa: 0.4708, kb_relative_information_score: 393.4882, mean_absolute_error: 0.4399, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7398, predictive_accuracy: 0.7354, prior_entropy: 1, recall: 0.7354, relative_absolute_error: 0.8799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.8989, scimark_benchmark: 1245.6509, usercpu_time_millis: 212.815, usercpu_time_millis_testing: 4.165, usercpu_time_millis_training: 208.65,

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