OpenML
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: 0.8303, f_measure: 0.7417, kappa: 0.4854, kb_relative_information_score: 420.8028, mean_absolute_error: 0.4355, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7467, predictive_accuracy: 0.7427, prior_entropy: 1, recall: 0.7427, relative_absolute_error: 0.871, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4454, root_relative_squared_error: 0.8909, scimark_benchmark: 1275.4097, usercpu_time_millis: 309.126, usercpu_time_millis_testing: 6.318, usercpu_time_millis_training: 302.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.6611, kappa: 0.3238, kb_relative_information_score: 195.1791, mean_absolute_error: 0.4715, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6634, predictive_accuracy: 0.6619, prior_entropy: 1, recall: 0.6619, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4753, root_relative_squared_error: 0.9506, scimark_benchmark: 1262.665, usercpu_time_millis: 293.984, usercpu_time_millis_testing: 11.313, usercpu_time_millis_training: 282.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7049, f_measure: 0.6245, kappa: 0.2492, kb_relative_information_score: 135.9866, mean_absolute_error: 0.4804, 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: 0.9609, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.483, root_relative_squared_error: 0.9659, scimark_benchmark: 1287.6087, usercpu_time_millis: 82.094, usercpu_time_millis_testing: 4.3, usercpu_time_millis_training: 77.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, f_measure: 0.6519, kappa: 0.3046, kb_relative_information_score: 180.2921, mean_absolute_error: 0.4737, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.653, predictive_accuracy: 0.6523, prior_entropy: 1, recall: 0.6523, relative_absolute_error: 0.9475, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4772, root_relative_squared_error: 0.9544, scimark_benchmark: 1308.2133, usercpu_time_millis: 181.096, usercpu_time_millis_testing: 7.758, usercpu_time_millis_training: 173.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, f_measure: 0.7585, kappa: 0.5192, kb_relative_information_score: 509.9834, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7645, predictive_accuracy: 0.7596, prior_entropy: 1, recall: 0.7596, relative_absolute_error: 0.8414, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8672, scimark_benchmark: 1291.1181, usercpu_time_millis: 1106.052, usercpu_time_millis_testing: 12.428, usercpu_time_millis_training: 1093.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6597, f_measure: 0.6026, kappa: 0.2054, kb_relative_information_score: 28.6282, mean_absolute_error: 0.4961, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6028, predictive_accuracy: 0.6027, prior_entropy: 1, recall: 0.6027, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9925, scimark_benchmark: 1293.7727, usercpu_time_millis: 41.726, usercpu_time_millis_testing: 3.901, usercpu_time_millis_training: 37.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.7642, kappa: 0.5308, kb_relative_information_score: 555.7758, mean_absolute_error: 0.4127, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7708, predictive_accuracy: 0.7654, prior_entropy: 1, recall: 0.7654, relative_absolute_error: 0.8255, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8555, scimark_benchmark: 1307.3762, usercpu_time_millis: 519.13, usercpu_time_millis_testing: 7.921, usercpu_time_millis_training: 511.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.7112, kappa: 0.4246, kb_relative_information_score: 303.169, mean_absolute_error: 0.4546, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7157, predictive_accuracy: 0.7123, prior_entropy: 1, recall: 0.7123, relative_absolute_error: 0.9092, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9225, scimark_benchmark: 1304.3092, usercpu_time_millis: 711.389, usercpu_time_millis_testing: 16.769, usercpu_time_millis_training: 694.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7342, f_measure: 0.6574, kappa: 0.3162, kb_relative_information_score: 206.4772, mean_absolute_error: 0.4696, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6594, predictive_accuracy: 0.6581, prior_entropy: 1, recall: 0.6581, relative_absolute_error: 0.9392, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9484, scimark_benchmark: 1284.7493, usercpu_time_millis: 248.535, usercpu_time_millis_testing: 9.069, usercpu_time_millis_training: 239.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6609, f_measure: 0.6069, kappa: 0.2138, kb_relative_information_score: 31.9452, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6069, predictive_accuracy: 0.6069, prior_entropy: 1, recall: 0.6069, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9917, scimark_benchmark: 1285.6091, usercpu_time_millis: 38.835, usercpu_time_millis_testing: 4.358, usercpu_time_millis_training: 34.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7276, kappa: 0.4577, kb_relative_information_score: 371.1126, mean_absolute_error: 0.4436, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7333, predictive_accuracy: 0.7288, prior_entropy: 1, recall: 0.7288, relative_absolute_error: 0.8871, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9049, scimark_benchmark: 1288.7208, usercpu_time_millis: 562.058, usercpu_time_millis_testing: 9.756, usercpu_time_millis_training: 552.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7321, f_measure: 0.6576, kappa: 0.3169, kb_relative_information_score: 257.0781, mean_absolute_error: 0.4613, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.66, predictive_accuracy: 0.6585, prior_entropy: 1, recall: 0.6585, relative_absolute_error: 0.9225, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9379, scimark_benchmark: 1284.3862, usercpu_time_millis: 17.788, usercpu_time_millis_testing: 1.241, usercpu_time_millis_training: 16.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7105, f_measure: 0.6275, kappa: 0.2554, kb_relative_information_score: 205.5136, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6279, predictive_accuracy: 0.6277, prior_entropy: 1, recall: 0.6277, relative_absolute_error: 0.9389, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.9507, scimark_benchmark: 1309.4627, usercpu_time_millis: 125.55, usercpu_time_millis_testing: 4.621, usercpu_time_millis_training: 120.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.7413, kappa: 0.4854, kb_relative_information_score: 406.1376, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7479, predictive_accuracy: 0.7427, prior_entropy: 1, recall: 0.7427, relative_absolute_error: 0.8758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.8954, scimark_benchmark: 1293.0702, usercpu_time_millis: 730.924, usercpu_time_millis_testing: 12.332, usercpu_time_millis_training: 718.592,
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: 1295.8402, usercpu_time_millis: 28.475, usercpu_time_millis_testing: 3.397, usercpu_time_millis_training: 25.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.623, kappa: 0.2462, kb_relative_information_score: 57.9756, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6232, predictive_accuracy: 0.6231, prior_entropy: 1, recall: 0.6231, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4926, root_relative_squared_error: 0.9851, scimark_benchmark: 1267.1737, usercpu_time_millis: 110.45, usercpu_time_millis_testing: 8.37, usercpu_time_millis_training: 102.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6318, kappa: 0.2646, kb_relative_information_score: 197.2515, mean_absolute_error: 0.4708, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.633, predictive_accuracy: 0.6323, prior_entropy: 1, recall: 0.6323, relative_absolute_error: 0.9417, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4761, root_relative_squared_error: 0.9523, scimark_benchmark: 1296.8852, usercpu_time_millis: 75.951, usercpu_time_millis_testing: 4.018, usercpu_time_millis_training: 71.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, f_measure: 0.6534, kappa: 0.3069, kb_relative_information_score: 428.9684, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6535, predictive_accuracy: 0.6535, prior_entropy: 1, recall: 0.6535, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4665, root_relative_squared_error: 0.9329, scimark_benchmark: 1273.5399, usercpu_time_millis: 12.875, usercpu_time_millis_testing: 1.599, usercpu_time_millis_training: 11.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.5161, kappa: 0.0323, kb_relative_information_score: 4.6345, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5162, predictive_accuracy: 0.5162, prior_entropy: 1, recall: 0.5162, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.999, scimark_benchmark: 1306.9397, usercpu_time_millis: 9.786, usercpu_time_millis_testing: 1.179, usercpu_time_millis_training: 8.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.728, f_measure: 0.6504, kappa: 0.3015, kb_relative_information_score: 170.5678, mean_absolute_error: 0.4752, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6514, predictive_accuracy: 0.6508, prior_entropy: 1, recall: 0.6508, relative_absolute_error: 0.9505, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4785, root_relative_squared_error: 0.957, scimark_benchmark: 1303.5935, usercpu_time_millis: 277.016, usercpu_time_millis_testing: 11.356, usercpu_time_millis_training: 265.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7165, f_measure: 0.6337, kappa: 0.2677, kb_relative_information_score: 195.4422, mean_absolute_error: 0.4711, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.634, predictive_accuracy: 0.6338, prior_entropy: 1, recall: 0.6338, relative_absolute_error: 0.9423, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4762, root_relative_squared_error: 0.9523, scimark_benchmark: 1303.0339, usercpu_time_millis: 18.59, usercpu_time_millis_testing: 1.098, usercpu_time_millis_training: 17.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6432, f_measure: 0.6066, kappa: 0.2138, kb_relative_information_score: 75.8449, mean_absolute_error: 0.4892, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6072, predictive_accuracy: 0.6069, prior_entropy: 1, recall: 0.6069, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4909, root_relative_squared_error: 0.9817, scimark_benchmark: 1287.9892, usercpu_time_millis: 12.893, usercpu_time_millis_testing: 1.123, usercpu_time_millis_training: 11.77,
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: 1289.7744, usercpu_time_millis: 27.961, usercpu_time_millis_testing: 2.973, usercpu_time_millis_training: 24.988,
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: 1300.5676, usercpu_time_millis: 20.908, usercpu_time_millis_testing: 2.844, usercpu_time_millis_training: 18.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7372, f_measure: 0.6645, kappa: 0.33, kb_relative_information_score: 185.0766, mean_absolute_error: 0.4731, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6661, predictive_accuracy: 0.665, prior_entropy: 1, recall: 0.665, relative_absolute_error: 0.9461, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4766, root_relative_squared_error: 0.9532, scimark_benchmark: 1278.123, usercpu_time_millis: 220.453, usercpu_time_millis_testing: 9.31, usercpu_time_millis_training: 211.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7047, f_measure: 0.6386, kappa: 0.2777, kb_relative_information_score: 136.6951, mean_absolute_error: 0.4803, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6392, predictive_accuracy: 0.6388, prior_entropy: 1, recall: 0.6388, relative_absolute_error: 0.9607, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4829, root_relative_squared_error: 0.9658, scimark_benchmark: 1278.6777, usercpu_time_millis: 122.428, usercpu_time_millis_testing: 6.21, usercpu_time_millis_training: 116.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.781, kappa: 0.5631, kb_relative_information_score: 574.6776, mean_absolute_error: 0.4099, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7843, predictive_accuracy: 0.7815, prior_entropy: 1, recall: 0.7815, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4245, root_relative_squared_error: 0.849, scimark_benchmark: 1307.548, usercpu_time_millis: 348.057, usercpu_time_millis_testing: 5.935, usercpu_time_millis_training: 342.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.6111, kappa: 0.2223, kb_relative_information_score: 48.7919, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6112, predictive_accuracy: 0.6112, prior_entropy: 1, recall: 0.6112, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4937, root_relative_squared_error: 0.9875, scimark_benchmark: 1285.8278, usercpu_time_millis: 114.182, usercpu_time_millis_testing: 8.874, usercpu_time_millis_training: 105.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8116, f_measure: 0.7291, kappa: 0.4608, kb_relative_information_score: 380.3792, mean_absolute_error: 0.442, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7348, predictive_accuracy: 0.7304, prior_entropy: 1, recall: 0.7304, relative_absolute_error: 0.8841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9025, scimark_benchmark: 1309.2576, usercpu_time_millis: 561.294, usercpu_time_millis_testing: 13.351, usercpu_time_millis_training: 547.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6169, f_measure: 0.5873, kappa: 0.1746, kb_relative_information_score: 40.5702, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5874, predictive_accuracy: 0.5873, prior_entropy: 1, recall: 0.5873, relative_absolute_error: 0.9887, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4951, root_relative_squared_error: 0.9902, scimark_benchmark: 1299.9101, usercpu_time_millis: 104.44, usercpu_time_millis_testing: 8.531, usercpu_time_millis_training: 95.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7543, f_measure: 0.6772, kappa: 0.3554, kb_relative_information_score: 248.0456, mean_absolute_error: 0.4631, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6789, predictive_accuracy: 0.6777, prior_entropy: 1, recall: 0.6777, relative_absolute_error: 0.9262, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9378, scimark_benchmark: 1286.1692, usercpu_time_millis: 103.277, usercpu_time_millis_testing: 3.636, usercpu_time_millis_training: 99.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.7709, kappa: 0.5423, kb_relative_information_score: 591.1256, mean_absolute_error: 0.4059, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7724, predictive_accuracy: 0.7712, prior_entropy: 1, recall: 0.7712, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.8497, scimark_benchmark: 1280.5886, usercpu_time_millis: 61.547, usercpu_time_millis_testing: 1.733, usercpu_time_millis_training: 59.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6601, f_measure: 0.6024, kappa: 0.2054, kb_relative_information_score: 39.4756, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.603, predictive_accuracy: 0.6027, prior_entropy: 1, recall: 0.6027, relative_absolute_error: 0.9892, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4949, root_relative_squared_error: 0.9898, scimark_benchmark: 1299.6731, usercpu_time_millis: 34.682, usercpu_time_millis_testing: 2.81, usercpu_time_millis_training: 31.872,
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: 1276.967, usercpu_time_millis: 27.565, usercpu_time_millis_testing: 3.01, usercpu_time_millis_training: 24.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.7445, kappa: 0.4908, kb_relative_information_score: 468.464, mean_absolute_error: 0.4273, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7487, predictive_accuracy: 0.7454, prior_entropy: 1, recall: 0.7454, relative_absolute_error: 0.8546, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.8796, scimark_benchmark: 1273.6978, usercpu_time_millis: 114.805, usercpu_time_millis_testing: 4.034, usercpu_time_millis_training: 110.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7601, f_measure: 0.6861, kappa: 0.3746, kb_relative_information_score: 274.0528, mean_absolute_error: 0.4589, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6903, predictive_accuracy: 0.6873, prior_entropy: 1, recall: 0.6873, relative_absolute_error: 0.9179, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9313, scimark_benchmark: 1285.8754, usercpu_time_millis: 244.507, usercpu_time_millis_testing: 7.8, usercpu_time_millis_training: 236.707,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6786, f_measure: 0.6059, kappa: 0.2123, kb_relative_information_score: 120.6633, mean_absolute_error: 0.4826, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6065, predictive_accuracy: 0.6062, prior_entropy: 1, recall: 0.6062, relative_absolute_error: 0.9652, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4854, root_relative_squared_error: 0.9708, scimark_benchmark: 1305.3121, usercpu_time_millis: 68.459, usercpu_time_millis_testing: 3.61, usercpu_time_millis_training: 64.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7157, f_measure: 0.651, kappa: 0.3031, kb_relative_information_score: 191.7482, mean_absolute_error: 0.4718, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6524, predictive_accuracy: 0.6515, prior_entropy: 1, recall: 0.6515, relative_absolute_error: 0.9436, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4766, root_relative_squared_error: 0.9532, scimark_benchmark: 1278.754, usercpu_time_millis: 68.124, usercpu_time_millis_testing: 2.601, usercpu_time_millis_training: 65.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6678, f_measure: 0.6096, kappa: 0.2192, kb_relative_information_score: 36.9052, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6096, predictive_accuracy: 0.6096, prior_entropy: 1, recall: 0.6096, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9904, scimark_benchmark: 1314.6472, usercpu_time_millis: 50.244, usercpu_time_millis_testing: 4.14, usercpu_time_millis_training: 46.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7275, f_measure: 0.655, kappa: 0.3115, kb_relative_information_score: 180.7545, mean_absolute_error: 0.4736, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6571, predictive_accuracy: 0.6558, prior_entropy: 1, recall: 0.6558, relative_absolute_error: 0.9473, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4773, root_relative_squared_error: 0.9545, scimark_benchmark: 1303.7401, usercpu_time_millis: 53.407, usercpu_time_millis_testing: 2.996, usercpu_time_millis_training: 50.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7445, kappa: 0.4915, kb_relative_information_score: 446.4137, mean_absolute_error: 0.4311, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7507, predictive_accuracy: 0.7458, prior_entropy: 1, recall: 0.7458, relative_absolute_error: 0.8622, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4426, root_relative_squared_error: 0.8851, scimark_benchmark: 1277.4641, usercpu_time_millis: 235.915, usercpu_time_millis_testing: 4.696, usercpu_time_millis_training: 231.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.6466, kappa: 0.2946, kb_relative_information_score: 201.7821, mean_absolute_error: 0.4703, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6485, predictive_accuracy: 0.6473, prior_entropy: 1, recall: 0.6473, relative_absolute_error: 0.9406, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4748, root_relative_squared_error: 0.9496, scimark_benchmark: 1287.8003, usercpu_time_millis: 151.951, usercpu_time_millis_testing: 6.887, usercpu_time_millis_training: 145.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6984, f_measure: 0.6264, kappa: 0.2531, kb_relative_information_score: 112.5763, mean_absolute_error: 0.484, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6268, predictive_accuracy: 0.6265, prior_entropy: 1, recall: 0.6265, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4858, root_relative_squared_error: 0.9716, scimark_benchmark: 1249.8266, usercpu_time_millis: 48.027, usercpu_time_millis_testing: 3.356, usercpu_time_millis_training: 44.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6807, f_measure: 0.6135, kappa: 0.2269, kb_relative_information_score: 75.8547, mean_absolute_error: 0.4894, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6135, predictive_accuracy: 0.6135, prior_entropy: 1, recall: 0.6135, relative_absolute_error: 0.9788, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4903, root_relative_squared_error: 0.9807, scimark_benchmark: 1277.1345, usercpu_time_millis: 46.444, usercpu_time_millis_testing: 3.903, usercpu_time_millis_training: 42.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.674, kappa: 0.3492, kb_relative_information_score: 243.1334, mean_absolute_error: 0.4638, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.676, predictive_accuracy: 0.6746, prior_entropy: 1, recall: 0.6746, relative_absolute_error: 0.9277, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9385, scimark_benchmark: 1280.8483, usercpu_time_millis: 65.27, usercpu_time_millis_testing: 2.756, usercpu_time_millis_training: 62.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6523, f_measure: 0.6015, kappa: 0.2031, kb_relative_information_score: 24.6337, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6015, predictive_accuracy: 0.6015, prior_entropy: 1, recall: 0.6015, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9936, scimark_benchmark: 1287.4562, usercpu_time_millis: 46.185, usercpu_time_millis_testing: 3.915, usercpu_time_millis_training: 42.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.6748, kappa: 0.3515, kb_relative_information_score: 235.5529, mean_absolute_error: 0.4652, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.678, predictive_accuracy: 0.6758, prior_entropy: 1, recall: 0.6758, relative_absolute_error: 0.9303, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.9407, scimark_benchmark: 1304.8963, usercpu_time_millis: 302.573, usercpu_time_millis_testing: 8.916, usercpu_time_millis_training: 293.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6757, f_measure: 0.6096, kappa: 0.2192, kb_relative_information_score: 78.9995, mean_absolute_error: 0.4889, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6097, predictive_accuracy: 0.6096, prior_entropy: 1, recall: 0.6096, relative_absolute_error: 0.9778, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.49, root_relative_squared_error: 0.9801, scimark_benchmark: 1289.5405, usercpu_time_millis: 43.065, usercpu_time_millis_testing: 2.933, usercpu_time_millis_training: 40.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6443, f_measure: 0.6092, kappa: 0.2185, kb_relative_information_score: 50.5011, mean_absolute_error: 0.493, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6093, predictive_accuracy: 0.6092, prior_entropy: 1, recall: 0.6092, relative_absolute_error: 0.986, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4937, root_relative_squared_error: 0.9874, scimark_benchmark: 1287.1819, usercpu_time_millis: 40.475, usercpu_time_millis_testing: 3.296, usercpu_time_millis_training: 37.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8053, f_measure: 0.7286, kappa: 0.46, kb_relative_information_score: 389.1976, mean_absolute_error: 0.4404, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7347, predictive_accuracy: 0.73, prior_entropy: 1, recall: 0.73, relative_absolute_error: 0.8808, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4507, root_relative_squared_error: 0.9014, scimark_benchmark: 1284.095, usercpu_time_millis: 257.822, usercpu_time_millis_testing: 5.649, usercpu_time_millis_training: 252.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7744, f_measure: 0.6938, kappa: 0.39, kb_relative_information_score: 297.9725, mean_absolute_error: 0.4552, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.698, predictive_accuracy: 0.695, prior_entropy: 1, recall: 0.695, relative_absolute_error: 0.9104, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4624, root_relative_squared_error: 0.9248, scimark_benchmark: 1287.0482, usercpu_time_millis: 295.491, usercpu_time_millis_testing: 8.171, usercpu_time_millis_training: 287.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.625, kappa: 0.2508, kb_relative_information_score: 153.8847, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6259, predictive_accuracy: 0.6254, prior_entropy: 1, recall: 0.6254, relative_absolute_error: 0.9553, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4812, root_relative_squared_error: 0.9624, scimark_benchmark: 1292.3535, usercpu_time_millis: 32.065, usercpu_time_millis_testing: 2.247, usercpu_time_millis_training: 29.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, f_measure: 0.6435, kappa: 0.2877, kb_relative_information_score: 132.2143, mean_absolute_error: 0.4811, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6443, predictive_accuracy: 0.6438, prior_entropy: 1, recall: 0.6438, relative_absolute_error: 0.9621, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4833, root_relative_squared_error: 0.9665, scimark_benchmark: 1307.2196, usercpu_time_millis: 152.87, usercpu_time_millis_testing: 8.509, usercpu_time_millis_training: 144.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7817, f_measure: 0.7002, kappa: 0.4023, kb_relative_information_score: 303.5334, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7038, predictive_accuracy: 0.7012, prior_entropy: 1, recall: 0.7012, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.9228, scimark_benchmark: 1299.1132, usercpu_time_millis: 422.444, usercpu_time_millis_testing: 11.972, usercpu_time_millis_training: 410.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.7453, kappa: 0.4931, kb_relative_information_score: 455.2693, mean_absolute_error: 0.4295, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7514, predictive_accuracy: 0.7465, prior_entropy: 1, recall: 0.7465, relative_absolute_error: 0.8591, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4417, root_relative_squared_error: 0.8834, scimark_benchmark: 1285.4183, usercpu_time_millis: 223.125, usercpu_time_millis_testing: 3.827, usercpu_time_millis_training: 219.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.7028, kappa: 0.4077, kb_relative_information_score: 289.9418, mean_absolute_error: 0.4566, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7068, predictive_accuracy: 0.7038, prior_entropy: 1, recall: 0.7038, relative_absolute_error: 0.9132, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9263, scimark_benchmark: 1299.2555, usercpu_time_millis: 400.69, usercpu_time_millis_testing: 10.357, usercpu_time_millis_training: 390.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6778, f_measure: 0.6033, kappa: 0.2069, kb_relative_information_score: 134.2738, mean_absolute_error: 0.4805, 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: 0.961, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4841, root_relative_squared_error: 0.9682, scimark_benchmark: 1310.1423, usercpu_time_millis: 17.951, usercpu_time_millis_testing: 1.219, usercpu_time_millis_training: 16.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7399, f_measure: 0.6602, kappa: 0.3215, kb_relative_information_score: 179.8595, mean_absolute_error: 0.4739, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6618, predictive_accuracy: 0.6608, prior_entropy: 1, recall: 0.6608, relative_absolute_error: 0.9478, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4771, root_relative_squared_error: 0.9542, scimark_benchmark: 1281.3059, usercpu_time_millis: 491.047, usercpu_time_millis_testing: 16.476, usercpu_time_millis_training: 474.571,
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: 1270.7355, usercpu_time_millis: 15.022, usercpu_time_millis_testing: 1.704, usercpu_time_millis_training: 13.318,
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: 1304.156, usercpu_time_millis: 11.402, usercpu_time_millis_testing: 1.144, usercpu_time_millis_training: 10.258,
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: 1305.3073, usercpu_time_millis: 30.882, usercpu_time_millis_testing: 2.965, usercpu_time_millis_training: 27.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.6445, kappa: 0.2892, kb_relative_information_score: 183.0909, mean_absolute_error: 0.4728, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6448, predictive_accuracy: 0.6446, prior_entropy: 1, recall: 0.6446, relative_absolute_error: 0.9457, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4787, root_relative_squared_error: 0.9573, scimark_benchmark: 1304.2523, usercpu_time_millis: 29.971, usercpu_time_millis_testing: 1.806, usercpu_time_millis_training: 28.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.6354, kappa: 0.2723, kb_relative_information_score: 212.8109, mean_absolute_error: 0.4684, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6372, predictive_accuracy: 0.6362, prior_entropy: 1, recall: 0.6362, relative_absolute_error: 0.9367, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9485, scimark_benchmark: 1302.9284, usercpu_time_millis: 27.364, usercpu_time_millis_testing: 1.477, usercpu_time_millis_training: 25.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7331, f_measure: 0.6604, kappa: 0.3223, kb_relative_information_score: 223.7748, mean_absolute_error: 0.4668, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6626, predictive_accuracy: 0.6612, prior_entropy: 1, recall: 0.6612, relative_absolute_error: 0.9336, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.9448, scimark_benchmark: 1281.8175, usercpu_time_millis: 114.811, usercpu_time_millis_testing: 4.236, usercpu_time_millis_training: 110.575,
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: 0.6466, f_measure: 0.6, kappa: 0.2, kb_relative_information_score: 46.9867, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.987, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.9881, scimark_benchmark: 1303.4346, usercpu_time_millis: 89.035, usercpu_time_millis_testing: 7.621, usercpu_time_millis_training: 81.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7112, f_measure: 0.6412, kappa: 0.2838, kb_relative_information_score: 196.2431, mean_absolute_error: 0.471, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6431, predictive_accuracy: 0.6419, prior_entropy: 1, recall: 0.6419, relative_absolute_error: 0.942, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4762, root_relative_squared_error: 0.9524, scimark_benchmark: 1285.8436, usercpu_time_millis: 36.064, usercpu_time_millis_testing: 1.83, usercpu_time_millis_training: 34.234,
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: 1288.0861, usercpu_time_millis: 28.095, usercpu_time_millis_testing: 3.01, usercpu_time_millis_training: 25.085,

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

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Download this task directly in your environment and automatically upload your results

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

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