OpenML
Supervised Classification on hill-valley

Supervised Classification on hill-valley

Task 9970 Supervised Classification hill-valley 88527 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.554, f_measure: 0.5311, kappa: 0.0644, kb_relative_information_score: 30.7011, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5325, predictive_accuracy: 0.5322, prior_entropy: 1, recall: 0.5322, relative_absolute_error: 0.9795, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9978, scimark_benchmark: 1262.5353, usercpu_time_millis: 89.387, usercpu_time_millis_testing: 1.677, usercpu_time_millis_training: 87.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5461, f_measure: 0.5252, kappa: 0.0528, kb_relative_information_score: 23.7224, mean_absolute_error: 0.4922, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5267, predictive_accuracy: 0.5264, prior_entropy: 1, recall: 0.5264, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9984, scimark_benchmark: 1249.7382, usercpu_time_millis: 54.248, usercpu_time_millis_testing: 2.349, usercpu_time_millis_training: 51.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5659, f_measure: 0.5276, kappa: 0.0561, kb_relative_information_score: 40.0967, mean_absolute_error: 0.4865, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5282, predictive_accuracy: 0.5281, prior_entropy: 1, recall: 0.5281, relative_absolute_error: 0.973, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4986, root_relative_squared_error: 0.9971, scimark_benchmark: 1255.4561, usercpu_time_millis: 175.824, usercpu_time_millis_testing: 3.166, usercpu_time_millis_training: 172.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5612, f_measure: 0.5448, kappa: 0.0908, kb_relative_information_score: 37.8175, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5456, predictive_accuracy: 0.5454, prior_entropy: 1, recall: 0.5454, relative_absolute_error: 0.9744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9988, scimark_benchmark: 1277.2872, usercpu_time_millis: 6.064, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 5.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5477, f_measure: 0.5206, kappa: 0.0413, kb_relative_information_score: 29.5416, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5206, predictive_accuracy: 0.5206, prior_entropy: 1, recall: 0.5206, relative_absolute_error: 0.9799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0012, scimark_benchmark: 1246.1537, usercpu_time_millis: 18.923, usercpu_time_millis_testing: 0.842, usercpu_time_millis_training: 18.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6006, f_measure: 0.5825, kappa: 0.165, kb_relative_information_score: 73.1182, mean_absolute_error: 0.4752, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5825, predictive_accuracy: 0.5825, prior_entropy: 1, recall: 0.5825, relative_absolute_error: 0.9504, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9935, scimark_benchmark: 1258.2269, usercpu_time_millis: 252.249, usercpu_time_millis_testing: 10.6, usercpu_time_millis_training: 241.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5378, f_measure: 0.5172, kappa: 0.0347, kb_relative_information_score: 23.0956, mean_absolute_error: 0.4922, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5174, predictive_accuracy: 0.5173, prior_entropy: 1, recall: 0.5173, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0073, scimark_benchmark: 1274.9708, usercpu_time_millis: 58.295, usercpu_time_millis_testing: 4.836, usercpu_time_millis_training: 53.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5527, f_measure: 0.53, kappa: 0.0627, kb_relative_information_score: 27.8175, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5317, predictive_accuracy: 0.5314, prior_entropy: 1, recall: 0.5314, relative_absolute_error: 0.9816, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9967, scimark_benchmark: 1280.187, usercpu_time_millis: 158.718, usercpu_time_millis_testing: 2.381, usercpu_time_millis_training: 156.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6157, f_measure: 0.5773, kappa: 0.1551, kb_relative_information_score: 93.6029, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5777, predictive_accuracy: 0.5776, prior_entropy: 1, recall: 0.5776, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4944, root_relative_squared_error: 0.9887, scimark_benchmark: 1281.8966, usercpu_time_millis: 704.366, usercpu_time_millis_testing: 8.848, usercpu_time_millis_training: 695.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.5, kb_relative_information_score: -0.0026, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, 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: 1278.8365, usercpu_time_millis: 12.261, usercpu_time_millis_testing: 1.615, usercpu_time_millis_training: 10.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.575, f_measure: 0.5485, kappa: 0.0974, kb_relative_information_score: 48.0179, mean_absolute_error: 0.4838, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5487, predictive_accuracy: 0.5487, prior_entropy: 1, recall: 0.5487, relative_absolute_error: 0.9676, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.9969, scimark_benchmark: 1265.4798, usercpu_time_millis: 101.884, usercpu_time_millis_testing: 1.887, usercpu_time_millis_training: 99.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6009, f_measure: 0.5742, kappa: 0.1485, kb_relative_information_score: 78.5357, mean_absolute_error: 0.4729, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5743, predictive_accuracy: 0.5743, prior_entropy: 1, recall: 0.5743, relative_absolute_error: 0.9459, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.995, scimark_benchmark: 1284.3417, usercpu_time_millis: 429.513, usercpu_time_millis_testing: 4.202, usercpu_time_millis_training: 425.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5243, f_measure: 0.5113, kappa: 0.0297, kb_relative_information_score: 15.0079, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5153, predictive_accuracy: 0.5149, prior_entropy: 1, recall: 0.5149, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9994, scimark_benchmark: 1255.7888, usercpu_time_millis: 25.597, usercpu_time_millis_testing: 1.65, usercpu_time_millis_training: 23.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6175, f_measure: 0.5824, kappa: 0.165, kb_relative_information_score: 96.7619, mean_absolute_error: 0.4664, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5826, predictive_accuracy: 0.5825, prior_entropy: 1, recall: 0.5825, relative_absolute_error: 0.9328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4943, root_relative_squared_error: 0.9886, scimark_benchmark: 1250.6305, usercpu_time_millis: 674.401, usercpu_time_millis_testing: 8.17, usercpu_time_millis_training: 666.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5143, f_measure: 0.5206, kappa: 0.0413, kb_relative_information_score: 3.4551, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5206, predictive_accuracy: 0.5206, prior_entropy: 1, recall: 0.5206, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0015, scimark_benchmark: 1279.2019, usercpu_time_millis: 2.662, usercpu_time_millis_testing: 0.206, usercpu_time_millis_training: 2.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.4775, kappa: -0.0033, kb_relative_information_score: -0.0101, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.498, predictive_accuracy: 0.4984, prior_entropy: 1, recall: 0.4984, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1281.3426, usercpu_time_millis: 10.332, usercpu_time_millis_testing: 1.29, usercpu_time_millis_training: 9.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5792, f_measure: 0.5586, kappa: 0.1172, kb_relative_information_score: 51.8589, mean_absolute_error: 0.4826, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5586, predictive_accuracy: 0.5586, prior_entropy: 1, recall: 0.5586, relative_absolute_error: 0.9653, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, scimark_benchmark: 1251.6681, usercpu_time_millis: 20.212, usercpu_time_millis_testing: 0.677, usercpu_time_millis_training: 19.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5409, f_measure: 0.5253, kappa: 0.0528, kb_relative_information_score: 25.2208, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5266, predictive_accuracy: 0.5264, prior_entropy: 1, recall: 0.5264, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0019, scimark_benchmark: 1279.9816, usercpu_time_millis: 87.564, usercpu_time_millis_testing: 3.731, usercpu_time_millis_training: 83.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5849, f_measure: 0.5652, kappa: 0.1304, kb_relative_information_score: 59.7737, mean_absolute_error: 0.4798, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5652, predictive_accuracy: 0.5652, prior_entropy: 1, recall: 0.5652, relative_absolute_error: 0.9595, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9983, scimark_benchmark: 1280.1157, usercpu_time_millis: 212.798, usercpu_time_millis_testing: 3.578, usercpu_time_millis_training: 209.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5818, f_measure: 0.5569, kappa: 0.1139, kb_relative_information_score: 55.9439, mean_absolute_error: 0.481, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5569, predictive_accuracy: 0.5569, prior_entropy: 1, recall: 0.5569, relative_absolute_error: 0.9621, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9975, scimark_benchmark: 1260.8357, usercpu_time_millis: 50.949, usercpu_time_millis_testing: 2.503, usercpu_time_millis_training: 48.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5763, f_measure: 0.5602, kappa: 0.1205, kb_relative_information_score: 49.7626, mean_absolute_error: 0.4832, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5602, predictive_accuracy: 0.5602, prior_entropy: 1, recall: 0.5602, relative_absolute_error: 0.9665, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9985, scimark_benchmark: 1269.9973, usercpu_time_millis: 46.904, usercpu_time_millis_testing: 1.266, usercpu_time_millis_training: 45.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5913, f_measure: 0.5652, kappa: 0.1304, kb_relative_information_score: 67.989, mean_absolute_error: 0.4767, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5652, predictive_accuracy: 0.5652, prior_entropy: 1, recall: 0.5652, relative_absolute_error: 0.9534, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9973, scimark_benchmark: 1246.5113, usercpu_time_millis: 41.686, usercpu_time_millis_testing: 0.904, usercpu_time_millis_training: 40.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5644, f_measure: 0.5354, kappa: 0.071, kb_relative_information_score: 37.7066, mean_absolute_error: 0.4874, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5355, predictive_accuracy: 0.5355, prior_entropy: 1, recall: 0.5355, relative_absolute_error: 0.9747, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9978, scimark_benchmark: 1254.0974, usercpu_time_millis: 90.832, usercpu_time_millis_testing: 2.486, usercpu_time_millis_training: 88.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5644, f_measure: 0.527, kappa: 0.0545, kb_relative_information_score: 39.8597, mean_absolute_error: 0.4866, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5273, predictive_accuracy: 0.5272, prior_entropy: 1, recall: 0.5272, relative_absolute_error: 0.9731, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9978, scimark_benchmark: 1279.9855, usercpu_time_millis: 40.54, usercpu_time_millis_testing: 1.32, usercpu_time_millis_training: 39.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6094, f_measure: 0.5716, kappa: 0.1436, kb_relative_information_score: 85.8511, mean_absolute_error: 0.4705, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5719, predictive_accuracy: 0.5718, prior_entropy: 1, recall: 0.5718, relative_absolute_error: 0.9409, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9913, scimark_benchmark: 1253.9993, usercpu_time_millis: 587.938, usercpu_time_millis_testing: 7.435, usercpu_time_millis_training: 580.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5821, f_measure: 0.5566, kappa: 0.1139, kb_relative_information_score: 46.5889, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5571, predictive_accuracy: 0.5569, prior_entropy: 1, recall: 0.5569, relative_absolute_error: 0.9693, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9918, scimark_benchmark: 1244.8333, usercpu_time_millis: 49.73, usercpu_time_millis_testing: 0.663, usercpu_time_millis_training: 49.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5365, f_measure: 0.524, kappa: 0.0512, kb_relative_information_score: 22.8427, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5259, predictive_accuracy: 0.5256, prior_entropy: 1, recall: 0.5256, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0008, scimark_benchmark: 1249.8375, usercpu_time_millis: 13.541, usercpu_time_millis_testing: 0.91, usercpu_time_millis_training: 12.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5063, f_measure: 0.4971, kappa: 0.0017, kb_relative_information_score: 9.3573, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5009, predictive_accuracy: 0.5008, prior_entropy: 1, recall: 0.5008, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.0024, scimark_benchmark: 1276.6795, usercpu_time_millis: 21.699, usercpu_time_millis_testing: 1.679, usercpu_time_millis_training: 20.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5468, f_measure: 0.5171, kappa: 0.038, kb_relative_information_score: 23.1777, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5193, predictive_accuracy: 0.519, prior_entropy: 1, recall: 0.519, relative_absolute_error: 0.9848, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9974, scimark_benchmark: 1269.4974, usercpu_time_millis: 94.745, usercpu_time_millis_testing: 1.866, usercpu_time_millis_training: 92.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6055, f_measure: 0.58, kappa: 0.1601, kb_relative_information_score: 83.5433, mean_absolute_error: 0.4713, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.58, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9949, scimark_benchmark: 1228.4388, usercpu_time_millis: 141.147, usercpu_time_millis_testing: 5.446, usercpu_time_millis_training: 135.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.4775, kappa: -0.0033, kb_relative_information_score: -0.0081, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.498, predictive_accuracy: 0.4984, prior_entropy: 1, recall: 0.4984, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1251.9686, usercpu_time_millis: 8.076, usercpu_time_millis_testing: 1.146, usercpu_time_millis_training: 6.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5868, f_measure: 0.5545, kappa: 0.1089, kb_relative_information_score: 61.6453, mean_absolute_error: 0.479, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5545, predictive_accuracy: 0.5545, prior_entropy: 1, recall: 0.5545, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.9971, scimark_benchmark: 1256.1082, usercpu_time_millis: 31.63, usercpu_time_millis_testing: 0.838, usercpu_time_millis_training: 30.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6135, f_measure: 0.5858, kappa: 0.1716, kb_relative_information_score: 92.9451, mean_absolute_error: 0.468, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5858, predictive_accuracy: 0.5858, prior_entropy: 1, recall: 0.5858, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9927, scimark_benchmark: 1288.043, usercpu_time_millis: 131.968, usercpu_time_millis_testing: 5.673, usercpu_time_millis_training: 126.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6284, f_measure: 0.5898, kappa: 0.1799, kb_relative_information_score: 128.6244, mean_absolute_error: 0.4536, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5901, predictive_accuracy: 0.5899, prior_entropy: 1, recall: 0.5899, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9963, scimark_benchmark: 1270.9183, usercpu_time_millis: 199.347, usercpu_time_millis_testing: 2.422, usercpu_time_millis_training: 196.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5538, f_measure: 0.5353, kappa: 0.071, kb_relative_information_score: 33.5775, mean_absolute_error: 0.4887, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5355, predictive_accuracy: 0.5355, prior_entropy: 1, recall: 0.5355, relative_absolute_error: 0.9775, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0039, scimark_benchmark: 1262.1624, usercpu_time_millis: 95.568, usercpu_time_millis_testing: 5.533, usercpu_time_millis_training: 90.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5893, f_measure: 0.5726, kappa: 0.1452, kb_relative_information_score: 62.8822, mean_absolute_error: 0.4789, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5726, predictive_accuracy: 0.5726, prior_entropy: 1, recall: 0.5726, relative_absolute_error: 0.9577, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9974, scimark_benchmark: 1275.4218, usercpu_time_millis: 155.133, usercpu_time_millis_testing: 5.646, usercpu_time_millis_training: 149.487,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5439, f_measure: 0.5296, kappa: 0.0627, kb_relative_information_score: 20.5082, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5318, predictive_accuracy: 0.5314, prior_entropy: 1, recall: 0.5314, relative_absolute_error: 0.9868, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.499, root_relative_squared_error: 0.9979, scimark_benchmark: 1278.5779, usercpu_time_millis: 32.444, usercpu_time_millis_testing: 1.738, usercpu_time_millis_training: 30.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5493, f_measure: 0.5225, kappa: 0.0462, kb_relative_information_score: 30.5503, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5232, predictive_accuracy: 0.5231, prior_entropy: 1, recall: 0.5231, relative_absolute_error: 0.9793, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9993, scimark_benchmark: 1250.761, usercpu_time_millis: 40.406, usercpu_time_millis_testing: 1.169, usercpu_time_millis_training: 39.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5269, f_measure: 0.5219, kappa: 0.0495, kb_relative_information_score: 10.5792, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5254, predictive_accuracy: 0.5248, prior_entropy: 1, recall: 0.5248, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4996, root_relative_squared_error: 0.9991, scimark_benchmark: 1275.8456, usercpu_time_millis: 59.598, usercpu_time_millis_testing: 1.525, usercpu_time_millis_training: 58.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.586, f_measure: 0.5685, kappa: 0.137, kb_relative_information_score: 53.1041, mean_absolute_error: 0.4823, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5685, predictive_accuracy: 0.5685, prior_entropy: 1, recall: 0.5685, relative_absolute_error: 0.9645, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9933, scimark_benchmark: 1277.89, usercpu_time_millis: 155.125, usercpu_time_millis_testing: 3.996, usercpu_time_millis_training: 151.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5634, f_measure: 0.5284, kappa: 0.0578, kb_relative_information_score: 38.1094, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.529, predictive_accuracy: 0.5289, prior_entropy: 1, recall: 0.5289, relative_absolute_error: 0.9744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9975, scimark_benchmark: 1278.6013, usercpu_time_millis: 184.647, usercpu_time_millis_testing: 3.854, usercpu_time_millis_training: 180.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5848, f_measure: 0.5701, kappa: 0.1403, kb_relative_information_score: 62.7554, mean_absolute_error: 0.4787, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5702, predictive_accuracy: 0.5701, prior_entropy: 1, recall: 0.5701, relative_absolute_error: 0.9574, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0014, scimark_benchmark: 1272.0081, usercpu_time_millis: 152.013, usercpu_time_millis_testing: 6.486, usercpu_time_millis_training: 145.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5369, f_measure: 0.517, kappa: 0.038, kb_relative_information_score: 14.7271, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5193, predictive_accuracy: 0.519, prior_entropy: 1, recall: 0.519, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9982, scimark_benchmark: 1278.9867, usercpu_time_millis: 89.744, usercpu_time_millis_testing: 1.861, usercpu_time_millis_training: 87.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.622, f_measure: 0.5973, kappa: 0.1947, kb_relative_information_score: 104.1804, mean_absolute_error: 0.4637, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5975, predictive_accuracy: 0.5974, prior_entropy: 1, recall: 0.5974, relative_absolute_error: 0.9275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.989, scimark_benchmark: 1245.1583, usercpu_time_millis: 352.183, usercpu_time_millis_testing: 4.919, usercpu_time_millis_training: 347.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5459, f_measure: 0.5239, kappa: 0.0479, kb_relative_information_score: 27.4571, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5239, predictive_accuracy: 0.5239, prior_entropy: 1, recall: 0.5239, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0017, scimark_benchmark: 1264.6042, usercpu_time_millis: 61.458, usercpu_time_millis_testing: 3.705, usercpu_time_millis_training: 57.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5734, f_measure: 0.546, kappa: 0.0924, kb_relative_information_score: 47.4077, mean_absolute_error: 0.484, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5463, predictive_accuracy: 0.5462, prior_entropy: 1, recall: 0.5462, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9975, scimark_benchmark: 1274.4956, usercpu_time_millis: 252.801, usercpu_time_millis_testing: 4.623, usercpu_time_millis_training: 248.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5142, f_measure: 0.5261, kappa: 0.0528, kb_relative_information_score: 3.8873, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5265, predictive_accuracy: 0.5264, prior_entropy: 1, recall: 0.5264, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 1246.0157, usercpu_time_millis: 7.085, usercpu_time_millis_testing: 0.832, usercpu_time_millis_training: 6.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6029, f_measure: 0.5825, kappa: 0.165, kb_relative_information_score: 79.2816, mean_absolute_error: 0.4728, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5825, predictive_accuracy: 0.5825, prior_entropy: 1, recall: 0.5825, relative_absolute_error: 0.9456, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.9939, scimark_benchmark: 1278.3325, usercpu_time_millis: 273.463, usercpu_time_millis_testing: 3.826, usercpu_time_millis_training: 269.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6221, f_measure: 0.5899, kappa: 0.1799, kb_relative_information_score: 104.0931, mean_absolute_error: 0.4637, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.59, predictive_accuracy: 0.5899, prior_entropy: 1, recall: 0.5899, relative_absolute_error: 0.9275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9883, scimark_benchmark: 1252.2837, usercpu_time_millis: 615.256, usercpu_time_millis_testing: 11.433, usercpu_time_millis_training: 603.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6068, f_measure: 0.584, kappa: 0.1683, kb_relative_information_score: 81.8632, mean_absolute_error: 0.472, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5843, predictive_accuracy: 0.5842, prior_entropy: 1, recall: 0.5842, relative_absolute_error: 0.9441, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9918, scimark_benchmark: 1247.2956, usercpu_time_millis: 294.742, usercpu_time_millis_testing: 3.569, usercpu_time_millis_training: 291.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5719, f_measure: 0.5553, kappa: 0.1106, kb_relative_information_score: 43.4067, mean_absolute_error: 0.4856, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5553, predictive_accuracy: 0.5553, prior_entropy: 1, recall: 0.5553, relative_absolute_error: 0.9712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9984, scimark_benchmark: 1237.2689, usercpu_time_millis: 15.46, usercpu_time_millis_testing: 0.349, usercpu_time_millis_training: 15.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.615, f_measure: 0.5799, kappa: 0.1601, kb_relative_information_score: 90.7092, mean_absolute_error: 0.4688, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5802, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.9376, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4944, root_relative_squared_error: 0.9887, scimark_benchmark: 1256.6417, usercpu_time_millis: 601.116, usercpu_time_millis_testing: 6.557, usercpu_time_millis_training: 594.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5194, f_measure: 0.4962, kappa: -0.0066, kb_relative_information_score: 14.8075, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4967, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 0.9897, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5042, root_relative_squared_error: 1.0085, scimark_benchmark: 1268.7036, usercpu_time_millis: 48.475, usercpu_time_millis_testing: 4.309, usercpu_time_millis_training: 44.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.589, f_measure: 0.5577, kappa: 0.1155, kb_relative_information_score: 57.1354, mean_absolute_error: 0.4809, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5578, predictive_accuracy: 0.5578, prior_entropy: 1, recall: 0.5578, relative_absolute_error: 0.9618, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.9924, scimark_benchmark: 1277.8011, usercpu_time_millis: 149.203, usercpu_time_millis_testing: 1.705, usercpu_time_millis_training: 147.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5835, f_measure: 0.5601, kappa: 0.1205, kb_relative_information_score: 55.1937, mean_absolute_error: 0.4814, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5603, predictive_accuracy: 0.5602, prior_entropy: 1, recall: 0.5602, relative_absolute_error: 0.9627, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9958, scimark_benchmark: 1245.5866, usercpu_time_millis: 150.9, usercpu_time_millis_testing: 1.625, usercpu_time_millis_training: 149.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5864, f_measure: 0.5667, kappa: 0.1337, kb_relative_information_score: 55.6851, mean_absolute_error: 0.4813, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5669, predictive_accuracy: 0.5668, prior_entropy: 1, recall: 0.5668, relative_absolute_error: 0.9626, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9942, scimark_benchmark: 1249.2659, usercpu_time_millis: 228.314, usercpu_time_millis_testing: 4.63, usercpu_time_millis_training: 223.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5397, f_measure: 0.5276, kappa: 0.0594, kb_relative_information_score: 19.5396, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5302, predictive_accuracy: 0.5297, prior_entropy: 1, recall: 0.5297, relative_absolute_error: 0.9873, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4986, root_relative_squared_error: 0.9973, scimark_benchmark: 1252.3964, usercpu_time_millis: 77.809, usercpu_time_millis_testing: 1.74, usercpu_time_millis_training: 76.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5195, f_measure: 0.5142, kappa: 0.0314, kb_relative_information_score: 8.7698, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5159, predictive_accuracy: 0.5157, prior_entropy: 1, recall: 0.5157, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4998, root_relative_squared_error: 0.9996, scimark_benchmark: 1249.2711, usercpu_time_millis: 19.814, usercpu_time_millis_testing: 1.164, usercpu_time_millis_training: 18.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5052, f_measure: 0.5136, kappa: 0.0281, kb_relative_information_score: 2.9302, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5141, predictive_accuracy: 0.514, prior_entropy: 1, recall: 0.514, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0016, scimark_benchmark: 1248.348, usercpu_time_millis: 14.353, usercpu_time_millis_testing: 0.689, usercpu_time_millis_training: 13.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5144, f_measure: 0.5274, kappa: 0.0561, kb_relative_information_score: 4.5756, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5282, predictive_accuracy: 0.5281, prior_entropy: 1, recall: 0.5281, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0007, scimark_benchmark: 1270.4217, usercpu_time_millis: 12.971, usercpu_time_millis_testing: 0.62, usercpu_time_millis_training: 12.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.574, f_measure: 0.5495, kappa: 0.099, kb_relative_information_score: 46.5447, mean_absolute_error: 0.4844, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5495, predictive_accuracy: 0.5495, prior_entropy: 1, recall: 0.5495, relative_absolute_error: 0.9689, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4996, root_relative_squared_error: 0.9991, scimark_benchmark: 1269.0316, usercpu_time_millis: 37.159, usercpu_time_millis_testing: 1.899, usercpu_time_millis_training: 35.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5592, f_measure: 0.5437, kappa: 0.0875, kb_relative_information_score: 39.3086, mean_absolute_error: 0.4868, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5437, predictive_accuracy: 0.5437, prior_entropy: 1, recall: 0.5437, relative_absolute_error: 0.9736, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0081, scimark_benchmark: 1252.3202, usercpu_time_millis: 117.794, usercpu_time_millis_testing: 8.05, usercpu_time_millis_training: 109.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5884, f_measure: 0.5775, kappa: 0.1551, kb_relative_information_score: 63.3588, mean_absolute_error: 0.4785, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5776, predictive_accuracy: 0.5776, prior_entropy: 1, recall: 0.5776, relative_absolute_error: 0.9571, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.499, root_relative_squared_error: 0.998, scimark_benchmark: 1275.2236, usercpu_time_millis: 59.938, usercpu_time_millis_testing: 1.122, usercpu_time_millis_training: 58.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5423, f_measure: 0.5194, kappa: 0.0413, kb_relative_information_score: 25.6822, mean_absolute_error: 0.4914, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5208, predictive_accuracy: 0.5206, prior_entropy: 1, recall: 0.5206, relative_absolute_error: 0.9827, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9983, scimark_benchmark: 1276.2345, usercpu_time_millis: 93.276, usercpu_time_millis_testing: 2.008, usercpu_time_millis_training: 91.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5819, f_measure: 0.5635, kappa: 0.1271, kb_relative_information_score: 51.8602, mean_absolute_error: 0.4826, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5636, predictive_accuracy: 0.5635, prior_entropy: 1, recall: 0.5635, relative_absolute_error: 0.9653, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9955, scimark_benchmark: 1269.623, usercpu_time_millis: 212.452, usercpu_time_millis_testing: 6.053, usercpu_time_millis_training: 206.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5936, f_measure: 0.5676, kappa: 0.1353, kb_relative_information_score: 66.0318, mean_absolute_error: 0.4777, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5677, predictive_accuracy: 0.5677, prior_entropy: 1, recall: 0.5677, relative_absolute_error: 0.9554, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9948, scimark_benchmark: 1253.6699, usercpu_time_millis: 177.653, usercpu_time_millis_testing: 3.396, usercpu_time_millis_training: 174.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5595, f_measure: 0.5394, kappa: 0.0792, kb_relative_information_score: 38.268, mean_absolute_error: 0.4871, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5397, predictive_accuracy: 0.5396, prior_entropy: 1, recall: 0.5396, relative_absolute_error: 0.9742, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0031, scimark_benchmark: 1278.5751, usercpu_time_millis: 51.385, usercpu_time_millis_testing: 2.774, usercpu_time_millis_training: 48.611,

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