Task
Supervised Classification on qsar-biodeg

Supervised Classification on qsar-biodeg

Task 145862 Supervised Classification qsar-biodeg 115390 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, f_measure: 0.5281, kb_relative_information_score: -1.3225, mean_absolute_error: 0.4474, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4729, root_relative_squared_error: 1, scimark_benchmark: 1249.278, usercpu_time_millis: 0.858, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 0.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.5281, kb_relative_information_score: -0.4392, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1244.5451, usercpu_time_millis: 3.767, usercpu_time_millis_testing: 0.468, usercpu_time_millis_training: 3.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, f_measure: 0.8543, kappa: 0.6697, kb_relative_information_score: 505.6472, mean_absolute_error: 0.2465, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8552, predictive_accuracy: 0.8569, prior_entropy: 0.9226, recall: 0.8569, relative_absolute_error: 0.5511, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.6904, scimark_benchmark: 1247.4171, usercpu_time_millis: 23.224, usercpu_time_millis_testing: 1.213, usercpu_time_millis_training: 22.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.7577, kappa: 0.4441, kb_relative_information_score: 224.1106, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7655, predictive_accuracy: 0.7706, prior_entropy: 0.9226, recall: 0.7706, relative_absolute_error: 0.8099, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8546, scimark_benchmark: 1240.0701, usercpu_time_millis: 12.911, usercpu_time_millis_testing: 1.421, usercpu_time_millis_training: 11.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, f_measure: 0.5281, kb_relative_information_score: 0.1507, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1239.8103, usercpu_time_millis: 4.885, usercpu_time_millis_testing: 0.844, usercpu_time_millis_training: 4.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.7174, kappa: 0.3553, kb_relative_information_score: 170.1794, mean_absolute_error: 0.3857, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7805, predictive_accuracy: 0.7555, prior_entropy: 0.9226, recall: 0.7555, relative_absolute_error: 0.8624, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8846, scimark_benchmark: 1238.6167, usercpu_time_millis: 9.353, usercpu_time_millis_testing: 1.275, usercpu_time_millis_training: 8.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.5281, kb_relative_information_score: 0.1528, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1238.5333, usercpu_time_millis: 2.575, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 2.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.8499, kappa: 0.659, kb_relative_information_score: 537.1821, mean_absolute_error: 0.2329, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8516, predictive_accuracy: 0.8531, prior_entropy: 0.9226, recall: 0.8531, relative_absolute_error: 0.5208, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6712, scimark_benchmark: 1246.8084, usercpu_time_millis: 39.487, usercpu_time_millis_testing: 2.149, usercpu_time_millis_training: 37.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8286, kappa: 0.6097, kb_relative_information_score: 441.0583, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8311, predictive_accuracy: 0.8332, prior_entropy: 0.9226, recall: 0.8332, relative_absolute_error: 0.6112, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.7301, scimark_benchmark: 1248.2893, usercpu_time_millis: 2.939, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 2.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.7589, kappa: 0.4581, kb_relative_information_score: 245.5834, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7579, predictive_accuracy: 0.7602, prior_entropy: 0.9226, recall: 0.7602, relative_absolute_error: 0.7848, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8627, scimark_benchmark: 1237.8621, usercpu_time_millis: 1.93, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 1.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.7663, kappa: 0.469, kb_relative_information_score: 261.0136, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7657, predictive_accuracy: 0.7716, prior_entropy: 0.9226, recall: 0.7716, relative_absolute_error: 0.7708, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.8373, scimark_benchmark: 1235.3741, usercpu_time_millis: 9.432, usercpu_time_millis_testing: 0.764, usercpu_time_millis_training: 8.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.8659, kappa: 0.6974, kb_relative_information_score: 571.1169, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8658, predictive_accuracy: 0.8673, prior_entropy: 0.9226, recall: 0.8673, relative_absolute_error: 0.483, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.657, scimark_benchmark: 1248.1791, usercpu_time_millis: 123.666, usercpu_time_millis_testing: 3.072, usercpu_time_millis_training: 120.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.8581, kappa: 0.6784, kb_relative_information_score: 523.6949, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8592, predictive_accuracy: 0.8607, prior_entropy: 0.9226, recall: 0.8607, relative_absolute_error: 0.5324, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6837, scimark_benchmark: 1235.8058, usercpu_time_millis: 41.118, usercpu_time_millis_testing: 1.733, usercpu_time_millis_training: 39.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7883, kappa: 0.5168, kb_relative_information_score: 301.286, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7908, predictive_accuracy: 0.7953, prior_entropy: 0.9226, recall: 0.7953, relative_absolute_error: 0.7388, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.8088, scimark_benchmark: 1248.8976, usercpu_time_millis: 5.494, usercpu_time_millis_testing: 0.421, usercpu_time_millis_training: 5.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.5281, kb_relative_information_score: 0.1916, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1246.4308, usercpu_time_millis: 8.533, usercpu_time_millis_testing: 1.091, usercpu_time_millis_training: 7.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.864, kappa: 0.6931, kb_relative_information_score: 600.1609, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8639, predictive_accuracy: 0.8654, prior_entropy: 0.9226, recall: 0.8654, relative_absolute_error: 0.4489, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.6497, scimark_benchmark: 1243.537, usercpu_time_millis: 26.697, usercpu_time_millis_testing: 0.845, usercpu_time_millis_training: 25.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.8615, kappa: 0.6865, kb_relative_information_score: 548.9187, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.862, predictive_accuracy: 0.8635, prior_entropy: 0.9226, recall: 0.8635, relative_absolute_error: 0.507, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6678, scimark_benchmark: 1244.6217, usercpu_time_millis: 35.635, usercpu_time_millis_testing: 1.083, usercpu_time_millis_training: 34.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.5281, kb_relative_information_score: 0.1909, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1263.6792, usercpu_time_millis: 8.367, usercpu_time_millis_testing: 1.227, usercpu_time_millis_training: 7.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8601, kappa: 0.6828, kb_relative_information_score: 554.3972, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8611, predictive_accuracy: 0.8626, prior_entropy: 0.9226, recall: 0.8626, relative_absolute_error: 0.502, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3137, root_relative_squared_error: 0.6634, scimark_benchmark: 1249.5294, usercpu_time_millis: 63.09, usercpu_time_millis_testing: 2.553, usercpu_time_millis_training: 60.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.8563, kappa: 0.6745, kb_relative_information_score: 543.6559, mean_absolute_error: 0.2302, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8571, predictive_accuracy: 0.8588, prior_entropy: 0.9226, recall: 0.8588, relative_absolute_error: 0.5148, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.6625, scimark_benchmark: 1248.3189, usercpu_time_millis: 52.025, usercpu_time_millis_testing: 4.328, usercpu_time_millis_training: 47.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.8461, kappa: 0.6496, kb_relative_information_score: 490.4224, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8493, predictive_accuracy: 0.8502, prior_entropy: 0.9226, recall: 0.8502, relative_absolute_error: 0.5634, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.7071, scimark_benchmark: 1233.6778, usercpu_time_millis: 12.083, usercpu_time_millis_testing: 0.345, usercpu_time_millis_training: 11.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8717, kappa: 0.7108, kb_relative_information_score: 588.6368, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8717, predictive_accuracy: 0.873, prior_entropy: 0.9226, recall: 0.873, relative_absolute_error: 0.464, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6503, scimark_benchmark: 1247.4173, usercpu_time_millis: 83.014, usercpu_time_millis_testing: 1.995, usercpu_time_millis_training: 81.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, f_measure: 0.5281, kb_relative_information_score: -0.6479, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1241.9048, usercpu_time_millis: 3.245, usercpu_time_millis_testing: 0.413, usercpu_time_millis_training: 2.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.8328, kappa: 0.618, kb_relative_information_score: 440.6863, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8389, predictive_accuracy: 0.8389, prior_entropy: 0.9226, recall: 0.8389, relative_absolute_error: 0.615, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.7263, scimark_benchmark: 1245.3771, usercpu_time_millis: 19.974, usercpu_time_millis_testing: 1.34, usercpu_time_millis_training: 18.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.5281, kb_relative_information_score: 0.2992, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1250.9011, usercpu_time_millis: 5.895, usercpu_time_millis_testing: 0.914, usercpu_time_millis_training: 4.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.5281, kb_relative_information_score: 0.1973, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1224.9795, usercpu_time_millis: 6.277, usercpu_time_millis_testing: 1.219, usercpu_time_millis_training: 5.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8559, kappa: 0.6731, kb_relative_information_score: 501.8824, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8574, predictive_accuracy: 0.8588, prior_entropy: 0.9226, recall: 0.8588, relative_absolute_error: 0.5595, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.6815, scimark_benchmark: 1250.7531, usercpu_time_millis: 22.725, usercpu_time_millis_testing: 2.154, usercpu_time_millis_training: 20.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8665, kappa: 0.6981, kb_relative_information_score: 596.1438, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8668, predictive_accuracy: 0.8682, prior_entropy: 0.9226, recall: 0.8682, relative_absolute_error: 0.4554, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3063, root_relative_squared_error: 0.6478, scimark_benchmark: 1247.3702, usercpu_time_millis: 171.487, usercpu_time_millis_testing: 5.249, usercpu_time_millis_training: 166.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.7539, kappa: 0.4369, kb_relative_information_score: 216.0727, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7568, predictive_accuracy: 0.764, prior_entropy: 0.9226, recall: 0.764, relative_absolute_error: 0.816, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8668, scimark_benchmark: 1235.3299, usercpu_time_millis: 1.827, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 1.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8655, kappa: 0.6961, kb_relative_information_score: 583.0132, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8658, predictive_accuracy: 0.8673, prior_entropy: 0.9226, recall: 0.8673, relative_absolute_error: 0.4679, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.656, scimark_benchmark: 1248.1485, usercpu_time_millis: 96.398, usercpu_time_millis_testing: 2.333, usercpu_time_millis_training: 94.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.8593, kappa: 0.6813, kb_relative_information_score: 570.7049, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8601, predictive_accuracy: 0.8616, prior_entropy: 0.9226, recall: 0.8616, relative_absolute_error: 0.4844, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.6552, scimark_benchmark: 1248.1354, usercpu_time_millis: 102.174, usercpu_time_millis_testing: 4.178, usercpu_time_millis_training: 97.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.8583, kappa: 0.6789, kb_relative_information_score: 568.5583, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8591, predictive_accuracy: 0.8607, prior_entropy: 0.9226, recall: 0.8607, relative_absolute_error: 0.4874, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.654, scimark_benchmark: 1250.4815, usercpu_time_millis: 43.446, usercpu_time_millis_testing: 2.332, usercpu_time_millis_training: 41.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.8262, kappa: 0.6032, kb_relative_information_score: 412.487, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8313, predictive_accuracy: 0.8322, prior_entropy: 0.9226, recall: 0.8322, relative_absolute_error: 0.6432, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.7396, scimark_benchmark: 1251.4368, usercpu_time_millis: 21.771, usercpu_time_millis_testing: 1.783, usercpu_time_millis_training: 19.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.8656, kappa: 0.698, kb_relative_information_score: 615.5645, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8653, predictive_accuracy: 0.8664, prior_entropy: 0.9226, recall: 0.8664, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3119, root_relative_squared_error: 0.6596, scimark_benchmark: 1255.7465, usercpu_time_millis: 266.526, usercpu_time_millis_testing: 6.531, usercpu_time_millis_training: 259.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.8541, kappa: 0.6692, kb_relative_information_score: 492.9305, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8553, predictive_accuracy: 0.8569, prior_entropy: 0.9226, recall: 0.8569, relative_absolute_error: 0.5619, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.7012, scimark_benchmark: 1242.4379, usercpu_time_millis: 30.405, usercpu_time_millis_testing: 1.337, usercpu_time_millis_training: 29.068,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.7633, kappa: 0.4657, kb_relative_information_score: 269.0735, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7619, predictive_accuracy: 0.7659, prior_entropy: 0.9226, recall: 0.7659, relative_absolute_error: 0.7615, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.8352, scimark_benchmark: 1248.6025, usercpu_time_millis: 18.245, usercpu_time_millis_testing: 1.157, usercpu_time_millis_training: 17.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.5281, kb_relative_information_score: -0.0683, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1243.412, usercpu_time_millis: 4.205, usercpu_time_millis_testing: 0.578, usercpu_time_millis_training: 3.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5281, kb_relative_information_score: -0.1284, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1239.2028, usercpu_time_millis: 0.659, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5281, kb_relative_information_score: 0.0096, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1246.8481, usercpu_time_millis: 4.441, usercpu_time_millis_testing: 0.77, usercpu_time_millis_training: 3.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.7582, kappa: 0.4571, kb_relative_information_score: 242.1146, mean_absolute_error: 0.3521, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7574, predictive_accuracy: 0.7592, prior_entropy: 0.9226, recall: 0.7592, relative_absolute_error: 0.7872, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8676, scimark_benchmark: 1245.8364, usercpu_time_millis: 3.819, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 3.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.8515, kappa: 0.6624, kb_relative_information_score: 540.8584, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8538, predictive_accuracy: 0.855, prior_entropy: 0.9226, recall: 0.855, relative_absolute_error: 0.516, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.6699, scimark_benchmark: 1246.4264, usercpu_time_millis: 41.373, usercpu_time_millis_testing: 1.752, usercpu_time_millis_training: 39.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8452, kappa: 0.6477, kb_relative_information_score: 499.8069, mean_absolute_error: 0.2484, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8482, predictive_accuracy: 0.8493, prior_entropy: 0.9226, recall: 0.8493, relative_absolute_error: 0.5555, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.6992, scimark_benchmark: 1254.2188, usercpu_time_millis: 53.155, usercpu_time_millis_testing: 1.553, usercpu_time_millis_training: 51.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.859, kappa: 0.6804, kb_relative_information_score: 518.9444, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8602, predictive_accuracy: 0.8616, prior_entropy: 0.9226, recall: 0.8616, relative_absolute_error: 0.5413, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.6728, scimark_benchmark: 1255.5551, usercpu_time_millis: 33.637, usercpu_time_millis_testing: 3.032, usercpu_time_millis_training: 30.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8717, kappa: 0.7108, kb_relative_information_score: 589.0371, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8717, predictive_accuracy: 0.873, prior_entropy: 0.9226, recall: 0.873, relative_absolute_error: 0.4625, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6503, scimark_benchmark: 1235.2361, usercpu_time_millis: 126.379, usercpu_time_millis_testing: 2.603, usercpu_time_millis_training: 123.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.8677, kappa: 0.7013, kb_relative_information_score: 593.7863, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8678, predictive_accuracy: 0.8692, prior_entropy: 0.9226, recall: 0.8692, relative_absolute_error: 0.4563, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.6506, scimark_benchmark: 1243.9543, usercpu_time_millis: 173.541, usercpu_time_millis_testing: 3.172, usercpu_time_millis_training: 170.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.5281, kb_relative_information_score: -0.1583, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1246.7941, usercpu_time_millis: 5.173, usercpu_time_millis_testing: 0.633, usercpu_time_millis_training: 4.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.8277, kappa: 0.6069, kb_relative_information_score: 413.7068, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8318, predictive_accuracy: 0.8332, prior_entropy: 0.9226, recall: 0.8332, relative_absolute_error: 0.6398, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7418, scimark_benchmark: 1255.3077, usercpu_time_millis: 32.001, usercpu_time_millis_testing: 2.152, usercpu_time_millis_training: 29.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5281, kb_relative_information_score: 0.1794, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1248.5521, usercpu_time_millis: 5.321, usercpu_time_millis_testing: 0.787, usercpu_time_millis_training: 4.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.8475, kappa: 0.6541, kb_relative_information_score: 475.2253, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8483, predictive_accuracy: 0.8502, prior_entropy: 0.9226, recall: 0.8502, relative_absolute_error: 0.5831, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.332, root_relative_squared_error: 0.7021, scimark_benchmark: 1243.8478, usercpu_time_millis: 18.299, usercpu_time_millis_testing: 1.684, usercpu_time_millis_training: 16.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.8183, kappa: 0.5857, kb_relative_information_score: 395.9239, mean_absolute_error: 0.2924, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8213, predictive_accuracy: 0.8237, prior_entropy: 0.9226, recall: 0.8237, relative_absolute_error: 0.6538, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.357, root_relative_squared_error: 0.7551, scimark_benchmark: 1217.5788, usercpu_time_millis: 18.417, usercpu_time_millis_testing: 1.08, usercpu_time_millis_training: 17.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8602, kappa: 0.6832, kb_relative_information_score: 532.4541, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8611, predictive_accuracy: 0.8626, prior_entropy: 0.9226, recall: 0.8626, relative_absolute_error: 0.523, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.322, root_relative_squared_error: 0.681, scimark_benchmark: 1240.3111, usercpu_time_millis: 87.876, usercpu_time_millis_testing: 2.031, usercpu_time_millis_training: 85.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.8537, kappa: 0.6678, kb_relative_information_score: 528.4634, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8556, predictive_accuracy: 0.8569, prior_entropy: 0.9226, recall: 0.8569, relative_absolute_error: 0.5282, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.6797, scimark_benchmark: 1244.335, usercpu_time_millis: 16.744, usercpu_time_millis_testing: 0.81, usercpu_time_millis_training: 15.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.5281, kb_relative_information_score: 0.3372, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1246.2497, usercpu_time_millis: 7.042, usercpu_time_millis_testing: 1.048, usercpu_time_millis_training: 5.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.7862, kappa: 0.5085, kb_relative_information_score: 269.3466, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8092, predictive_accuracy: 0.8019, prior_entropy: 0.9226, recall: 0.8019, relative_absolute_error: 0.7781, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.8209, scimark_benchmark: 1242.4477, usercpu_time_millis: 1.476, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 1.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.8506, kappa: 0.6614, kb_relative_information_score: 507.441, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8512, predictive_accuracy: 0.8531, prior_entropy: 0.9226, recall: 0.8531, relative_absolute_error: 0.5502, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6861, scimark_benchmark: 1242.7133, usercpu_time_millis: 26.822, usercpu_time_millis_testing: 2.095, usercpu_time_millis_training: 24.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.861, kappa: 0.6864, kb_relative_information_score: 594.8695, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.861, predictive_accuracy: 0.8626, prior_entropy: 0.9226, recall: 0.8626, relative_absolute_error: 0.4501, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6631, scimark_benchmark: 1244.8547, usercpu_time_millis: 12.164, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 11.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.5281, kb_relative_information_score: -0.2359, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1247.1863, usercpu_time_millis: 4.192, usercpu_time_millis_testing: 0.568, usercpu_time_millis_training: 3.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.8425, kappa: 0.6418, kb_relative_information_score: 482.3335, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.845, predictive_accuracy: 0.8464, prior_entropy: 0.9226, recall: 0.8464, relative_absolute_error: 0.5724, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.7088, scimark_benchmark: 1235.9383, usercpu_time_millis: 54.131, usercpu_time_millis_testing: 2.452, usercpu_time_millis_training: 51.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7233, kappa: 0.3642, kb_relative_information_score: 180.162, mean_absolute_error: 0.3808, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7477, predictive_accuracy: 0.7488, prior_entropy: 0.9226, recall: 0.7488, relative_absolute_error: 0.8515, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8813, scimark_benchmark: 1249.0949, usercpu_time_millis: 2.906, usercpu_time_millis_testing: 0.355, usercpu_time_millis_training: 2.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.5281, kb_relative_information_score: 0.2362, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1238.3816, usercpu_time_millis: 5.082, usercpu_time_millis_testing: 0.691, usercpu_time_millis_training: 4.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8687, kappa: 0.7037, kb_relative_information_score: 606.5025, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8687, predictive_accuracy: 0.8701, prior_entropy: 0.9226, recall: 0.8701, relative_absolute_error: 0.442, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.6473, scimark_benchmark: 1239.9054, usercpu_time_millis: 127.87, usercpu_time_millis_testing: 4.826, usercpu_time_millis_training: 123.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.5281, kb_relative_information_score: -0.5732, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1234.2746, usercpu_time_millis: 1.832, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 1.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5281, kb_relative_information_score: -0.4425, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1240.4937, usercpu_time_millis: 3.675, usercpu_time_millis_testing: 0.499, usercpu_time_millis_training: 3.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.5281, kb_relative_information_score: -0.079, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1230.1815, usercpu_time_millis: 8.392, usercpu_time_millis_testing: 0.943, usercpu_time_millis_training: 7.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8613, kappa: 0.6872, kb_relative_information_score: 599.2758, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.861, predictive_accuracy: 0.8626, prior_entropy: 0.9226, recall: 0.8626, relative_absolute_error: 0.4472, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.6547, scimark_benchmark: 1243.8895, usercpu_time_millis: 51.012, usercpu_time_millis_testing: 1.138, usercpu_time_millis_training: 49.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.8575, kappa: 0.6807, kb_relative_information_score: 612.7179, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8573, predictive_accuracy: 0.8578, prior_entropy: 0.9226, recall: 0.8578, relative_absolute_error: 0.4247, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.32, root_relative_squared_error: 0.6768, scimark_benchmark: 1247.2389, usercpu_time_millis: 200.999, usercpu_time_millis_testing: 3.391, usercpu_time_millis_training: 197.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.8666, kappa: 0.6985, kb_relative_information_score: 581.9584, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8668, predictive_accuracy: 0.8682, prior_entropy: 0.9226, recall: 0.8682, relative_absolute_error: 0.4699, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.6548, scimark_benchmark: 1239.0017, usercpu_time_millis: 114.442, usercpu_time_millis_testing: 2.231, usercpu_time_millis_training: 112.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.5281, kb_relative_information_score: 0.3557, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1248.4139, usercpu_time_millis: 7.123, usercpu_time_millis_testing: 1.163, usercpu_time_millis_training: 5.96,

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