OpenML
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 54817 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
Issue #Downvotes for this reason By


Metric:

54817 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
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: 1284.5615, usercpu_time_millis: 2048.801, usercpu_time_millis_testing: 1.054, usercpu_time_millis_training: 2047.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6107, f_measure: 0.5776, kappa: 0.1554, kb_relative_information_score: 192.5801, mean_absolute_error: 0.469, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5778, predictive_accuracy: 0.5777, prior_entropy: 1, recall: 0.5777, relative_absolute_error: 0.9379, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9904, scimark_benchmark: 1274.2928, usercpu_time_millis: 1468.625, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 1468.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7275, f_measure: 0.6566, kappa: 0.3192, kb_relative_information_score: 126.0459, mean_absolute_error: 0.4822, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6654, predictive_accuracy: 0.6596, prior_entropy: 1, recall: 0.6596, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4838, root_relative_squared_error: 0.9677, scimark_benchmark: 1287.2488, usercpu_time_millis: 786.027, usercpu_time_millis_testing: 1.075, usercpu_time_millis_training: 784.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5839, f_measure: 0.5677, kappa: 0.1354, kb_relative_information_score: 207.2664, mean_absolute_error: 0.4641, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5677, predictive_accuracy: 0.5677, prior_entropy: 1, recall: 0.5677, relative_absolute_error: 0.9283, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5236, root_relative_squared_error: 1.0473, scimark_benchmark: 1308.2383, usercpu_time_millis: 2124.205, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 2123.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.5973, kappa: 0.1946, kb_relative_information_score: 87.5806, mean_absolute_error: 0.4875, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5973, predictive_accuracy: 0.5973, prior_entropy: 1, recall: 0.5973, relative_absolute_error: 0.975, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4908, root_relative_squared_error: 0.9816, scimark_benchmark: 1297.3351, usercpu_time_millis: 2418.466, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 2418.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, f_measure: 0.7721, kappa: 0.5446, kb_relative_information_score: 755.3503, mean_absolute_error: 0.3746, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7732, predictive_accuracy: 0.7723, prior_entropy: 1, recall: 0.7723, relative_absolute_error: 0.7492, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.41, root_relative_squared_error: 0.8201, scimark_benchmark: 1276.7068, usercpu_time_millis: 1859.565, usercpu_time_millis_testing: 1.212, usercpu_time_millis_training: 1858.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.663, f_measure: 0.6173, kappa: 0.2346, kb_relative_information_score: 308.097, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6173, predictive_accuracy: 0.6173, prior_entropy: 1, recall: 0.6173, relative_absolute_error: 0.8989, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.9612, scimark_benchmark: 1270.0419, usercpu_time_millis: 1656.225, usercpu_time_millis_testing: 2.085, usercpu_time_millis_training: 1654.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7065, f_measure: 0.6333, kappa: 0.2669, kb_relative_information_score: 85.5471, mean_absolute_error: 0.488, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6337, predictive_accuracy: 0.6335, prior_entropy: 1, recall: 0.6335, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.489, root_relative_squared_error: 0.9779, scimark_benchmark: 1269.0771, usercpu_time_millis: 470.761, usercpu_time_millis_testing: 2.026, usercpu_time_millis_training: 468.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6004, f_measure: 0.5754, kappa: 0.1508, kb_relative_information_score: 195.4607, mean_absolute_error: 0.468, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5754, predictive_accuracy: 0.5754, prior_entropy: 1, recall: 0.5754, relative_absolute_error: 0.9361, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0045, scimark_benchmark: 1271.0451, usercpu_time_millis: 2403.027, usercpu_time_millis_testing: 1.449, usercpu_time_millis_training: 2401.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.627, f_measure: 0.5981, kappa: 0.1962, kb_relative_information_score: 110.3706, mean_absolute_error: 0.4839, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5981, predictive_accuracy: 0.5981, prior_entropy: 1, recall: 0.5981, relative_absolute_error: 0.9679, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4893, root_relative_squared_error: 0.9786, scimark_benchmark: 1303.3841, usercpu_time_millis: 2100.183, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 2099.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7652, f_measure: 0.6976, kappa: 0.3954, kb_relative_information_score: 446.6497, mean_absolute_error: 0.4284, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.698, predictive_accuracy: 0.6977, prior_entropy: 1, recall: 0.6977, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.8986, scimark_benchmark: 1304.8934, usercpu_time_millis: 2121.021, usercpu_time_millis_testing: 1.49, usercpu_time_millis_training: 2119.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6224, f_measure: 0.6177, kappa: 0.2362, kb_relative_information_score: 43.029, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6185, predictive_accuracy: 0.6181, prior_entropy: 1, recall: 0.6181, relative_absolute_error: 0.9882, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.9894, scimark_benchmark: 1306.0482, usercpu_time_millis: 192.966, usercpu_time_millis_testing: 0.332, usercpu_time_millis_training: 192.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.7006, kappa: 0.4015, kb_relative_information_score: 762.6517, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7012, predictive_accuracy: 0.7008, prior_entropy: 1, recall: 0.7008, relative_absolute_error: 0.7307, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8683, scimark_benchmark: 1304.4276, usercpu_time_millis: 656.611, usercpu_time_millis_testing: 2.111, usercpu_time_millis_training: 654.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, 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: 1304.0718, usercpu_time_millis: 1057.762, usercpu_time_millis_testing: 0.975, usercpu_time_millis_training: 1056.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6216, f_measure: 0.5815, kappa: 0.1631, kb_relative_information_score: 419.9757, mean_absolute_error: 0.4197, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5815, predictive_accuracy: 0.5815, prior_entropy: 1, recall: 0.5815, relative_absolute_error: 0.8395, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6001, root_relative_squared_error: 1.2001, scimark_benchmark: 1305.966, usercpu_time_millis: 678.142, usercpu_time_millis_testing: 1.107, usercpu_time_millis_training: 677.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6684, f_measure: 0.6259, kappa: 0.2523, kb_relative_information_score: 1.4403, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6264, predictive_accuracy: 0.6262, prior_entropy: 1, recall: 0.6262, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4998, root_relative_squared_error: 0.9996, scimark_benchmark: 1276.7283, usercpu_time_millis: 1680.705, usercpu_time_millis_testing: 1.187, usercpu_time_millis_training: 1679.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7388, f_measure: 0.6948, kappa: 0.3923, kb_relative_information_score: 387.3325, mean_absolute_error: 0.4389, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6997, predictive_accuracy: 0.6962, prior_entropy: 1, recall: 0.6962, relative_absolute_error: 0.8779, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4586, root_relative_squared_error: 0.9173, scimark_benchmark: 1767.9746, usercpu_time_millis: 62.086, usercpu_time_millis_testing: 0.654, usercpu_time_millis_training: 61.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.709, f_measure: 0.6323, kappa: 0.2662, kb_relative_information_score: 256.2592, mean_absolute_error: 0.461, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6342, predictive_accuracy: 0.6331, prior_entropy: 1, recall: 0.6331, relative_absolute_error: 0.922, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.9419, scimark_benchmark: 1857.0384, usercpu_time_millis: 32.629, usercpu_time_millis_testing: 0.812, usercpu_time_millis_training: 31.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7312, f_measure: 0.6554, kappa: 0.3123, kb_relative_information_score: 199.0478, mean_absolute_error: 0.4708, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6575, predictive_accuracy: 0.6562, prior_entropy: 1, recall: 0.6562, relative_absolute_error: 0.9416, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4752, root_relative_squared_error: 0.9504, scimark_benchmark: 1722.3731, usercpu_time_millis: 76.636, usercpu_time_millis_testing: 3.002, usercpu_time_millis_training: 73.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7293, f_measure: 0.6696, kappa: 0.3469, kb_relative_information_score: 412.9459, mean_absolute_error: 0.4336, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.682, predictive_accuracy: 0.6735, prior_entropy: 1, recall: 0.6735, relative_absolute_error: 0.8672, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.919, scimark_benchmark: 1861.2508, usercpu_time_millis: 42.085, usercpu_time_millis_testing: 0.455, usercpu_time_millis_training: 41.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7239, f_measure: 0.644, kappa: 0.2931, kb_relative_information_score: 306.9584, mean_absolute_error: 0.4526, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6508, predictive_accuracy: 0.6465, prior_entropy: 1, recall: 0.6465, relative_absolute_error: 0.9051, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.9305, scimark_benchmark: 1858.6775, usercpu_time_millis: 55.093, usercpu_time_millis_testing: 1.001, usercpu_time_millis_training: 54.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6926, f_measure: 0.6235, kappa: 0.2477, kb_relative_information_score: 249.0513, mean_absolute_error: 0.462, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6243, predictive_accuracy: 0.6238, prior_entropy: 1, recall: 0.6238, relative_absolute_error: 0.924, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4737, root_relative_squared_error: 0.9475, scimark_benchmark: 1748.3332, usercpu_time_millis: 47.548, usercpu_time_millis_testing: 0.908, usercpu_time_millis_training: 46.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.6192, kappa: 0.2385, kb_relative_information_score: 221.9479, mean_absolute_error: 0.4666, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6193, predictive_accuracy: 0.6192, prior_entropy: 1, recall: 0.6192, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9493, scimark_benchmark: 1723.9607, usercpu_time_millis: 43.713, usercpu_time_millis_testing: 1.134, usercpu_time_millis_training: 42.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.763, f_measure: 0.691, kappa: 0.3862, kb_relative_information_score: 362.2696, mean_absolute_error: 0.4439, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6985, predictive_accuracy: 0.6931, prior_entropy: 1, recall: 0.6931, relative_absolute_error: 0.8878, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4565, root_relative_squared_error: 0.913, scimark_benchmark: 1949.3518, usercpu_time_millis: 49.639, usercpu_time_millis_testing: 1.043, usercpu_time_millis_training: 48.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.748, f_measure: 0.6811, kappa: 0.3662, kb_relative_information_score: 336.1517, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6878, predictive_accuracy: 0.6831, prior_entropy: 1, recall: 0.6831, relative_absolute_error: 0.8962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9208, scimark_benchmark: 1778.4741, usercpu_time_millis: 77.015, usercpu_time_millis_testing: 1.386, usercpu_time_millis_training: 75.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7805, f_measure: 0.71, kappa: 0.4231, kb_relative_information_score: 330.6541, mean_absolute_error: 0.4498, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7163, predictive_accuracy: 0.7115, prior_entropy: 1, recall: 0.7115, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4586, root_relative_squared_error: 0.9171, scimark_benchmark: 1857.0384, usercpu_time_millis: 80.836, usercpu_time_millis_testing: 1.842, usercpu_time_millis_training: 78.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.777, f_measure: 0.7124, kappa: 0.4277, kb_relative_information_score: 383.1904, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7183, predictive_accuracy: 0.7138, prior_entropy: 1, recall: 0.7138, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4535, root_relative_squared_error: 0.907, scimark_benchmark: 1716.9407, usercpu_time_millis: 53.689, usercpu_time_millis_testing: 0.896, usercpu_time_millis_training: 52.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.7188, kappa: 0.4415, kb_relative_information_score: 502.6493, mean_absolute_error: 0.4191, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.727, predictive_accuracy: 0.7208, prior_entropy: 1, recall: 0.7208, relative_absolute_error: 0.8381, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.8818, scimark_benchmark: 1661.2708, usercpu_time_millis: 73.276, usercpu_time_millis_testing: 0.76, usercpu_time_millis_training: 72.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, f_measure: 0.6615, kappa: 0.3277, kb_relative_information_score: 304.2339, mean_absolute_error: 0.4533, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6685, predictive_accuracy: 0.6638, prior_entropy: 1, recall: 0.6638, relative_absolute_error: 0.9066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4645, root_relative_squared_error: 0.9291, scimark_benchmark: 1857.5664, usercpu_time_millis: 89.843, usercpu_time_millis_testing: 0.965, usercpu_time_millis_training: 88.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7678, f_measure: 0.6987, kappa: 0.4015, kb_relative_information_score: 354.0918, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7064, predictive_accuracy: 0.7008, prior_entropy: 1, recall: 0.7008, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9137, scimark_benchmark: 1839.7911, usercpu_time_millis: 53.742, usercpu_time_millis_testing: 1.429, usercpu_time_millis_training: 52.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.7236, kappa: 0.4492, kb_relative_information_score: 342.9241, mean_absolute_error: 0.4483, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7281, predictive_accuracy: 0.7246, prior_entropy: 1, recall: 0.7246, relative_absolute_error: 0.8965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4558, root_relative_squared_error: 0.9117, scimark_benchmark: 1732.0988, usercpu_time_millis: 60.463, usercpu_time_millis_testing: 1.904, usercpu_time_millis_training: 58.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.7364, kappa: 0.4754, kb_relative_information_score: 580.9505, mean_absolute_error: 0.4052, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7423, predictive_accuracy: 0.7377, prior_entropy: 1, recall: 0.7377, relative_absolute_error: 0.8103, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.8624, scimark_benchmark: 1732.9537, usercpu_time_millis: 76.883, usercpu_time_millis_testing: 0.573, usercpu_time_millis_training: 76.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7308, f_measure: 0.6713, kappa: 0.3523, kb_relative_information_score: 368.1829, mean_absolute_error: 0.4418, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6872, predictive_accuracy: 0.6762, prior_entropy: 1, recall: 0.6762, relative_absolute_error: 0.8836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9226, scimark_benchmark: 1770.587, usercpu_time_millis: 81.422, usercpu_time_millis_testing: 0.661, usercpu_time_millis_training: 80.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7613, f_measure: 0.6994, kappa: 0.4031, kb_relative_information_score: 448.8964, mean_absolute_error: 0.4276, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7075, predictive_accuracy: 0.7015, prior_entropy: 1, recall: 0.7015, relative_absolute_error: 0.8553, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.8998, scimark_benchmark: 1730.7262, usercpu_time_millis: 102.804, usercpu_time_millis_testing: 0.806, usercpu_time_millis_training: 101.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.818, kappa: 0.6362, kb_relative_information_score: 867.5538, mean_absolute_error: 0.3559, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8185, predictive_accuracy: 0.8181, prior_entropy: 1, recall: 0.8181, relative_absolute_error: 0.7119, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7807, scimark_benchmark: 1856.125, usercpu_time_millis: 98.186, usercpu_time_millis_testing: 0.453, usercpu_time_millis_training: 97.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.7325, kappa: 0.4692, kb_relative_information_score: 566.7367, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7422, predictive_accuracy: 0.7346, prior_entropy: 1, recall: 0.7346, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.8665, scimark_benchmark: 1851.9456, usercpu_time_millis: 66.188, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 65.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.6895, kappa: 0.3838, kb_relative_information_score: 400.3712, mean_absolute_error: 0.4365, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6981, predictive_accuracy: 0.6919, prior_entropy: 1, recall: 0.6919, relative_absolute_error: 0.8731, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9092, scimark_benchmark: 1736.4936, usercpu_time_millis: 78.91, usercpu_time_millis_testing: 0.893, usercpu_time_millis_training: 78.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7635, f_measure: 0.6867, kappa: 0.3808, kb_relative_information_score: 496.5309, mean_absolute_error: 0.418, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6999, predictive_accuracy: 0.6904, prior_entropy: 1, recall: 0.6904, relative_absolute_error: 0.8359, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.8928, scimark_benchmark: 1852.9988, usercpu_time_millis: 101.376, usercpu_time_millis_testing: 0.498, usercpu_time_millis_training: 100.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.8377, kappa: 0.6754, kb_relative_information_score: 985.2873, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8378, predictive_accuracy: 0.8377, prior_entropy: 1, recall: 0.8377, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.7452, scimark_benchmark: 1712.1059, usercpu_time_millis: 95.261, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 94.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7754, f_measure: 0.7113, kappa: 0.4269, kb_relative_information_score: 441.8318, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7199, predictive_accuracy: 0.7135, prior_entropy: 1, recall: 0.7135, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.8966, scimark_benchmark: 1775.7805, usercpu_time_millis: 98.724, usercpu_time_millis_testing: 0.631, usercpu_time_millis_training: 98.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, f_measure: 0.6896, kappa: 0.3838, kb_relative_information_score: 425.211, mean_absolute_error: 0.4318, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6977, predictive_accuracy: 0.6919, prior_entropy: 1, recall: 0.6919, relative_absolute_error: 0.8637, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.9111, scimark_benchmark: 1851.4874, usercpu_time_millis: 102.288, usercpu_time_millis_testing: 0.691, usercpu_time_millis_training: 101.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.751, f_measure: 0.6945, kappa: 0.3923, kb_relative_information_score: 406.2655, mean_absolute_error: 0.4355, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7006, predictive_accuracy: 0.6962, prior_entropy: 1, recall: 0.6962, relative_absolute_error: 0.8709, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9095, scimark_benchmark: 1721.0114, usercpu_time_millis: 102.284, usercpu_time_millis_testing: 1.056, usercpu_time_millis_training: 101.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.8373, kappa: 0.6746, kb_relative_information_score: 1215.0758, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8373, predictive_accuracy: 0.8373, prior_entropy: 1, recall: 0.8373, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7042, scimark_benchmark: 1840.0576, usercpu_time_millis: 103.156, usercpu_time_millis_testing: 0.368, usercpu_time_millis_training: 102.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7248, f_measure: 0.6656, kappa: 0.3369, kb_relative_information_score: 414.7157, mean_absolute_error: 0.433, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6745, predictive_accuracy: 0.6685, prior_entropy: 1, recall: 0.6685, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9227, scimark_benchmark: 1777.2136, usercpu_time_millis: 120.251, usercpu_time_millis_testing: 0.726, usercpu_time_millis_training: 119.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.7525, kappa: 0.5054, kb_relative_information_score: 718.8241, mean_absolute_error: 0.3797, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7537, predictive_accuracy: 0.7527, prior_entropy: 1, recall: 0.7527, relative_absolute_error: 0.7593, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.8318, scimark_benchmark: 1699.5279, usercpu_time_millis: 112.649, usercpu_time_millis_testing: 0.473, usercpu_time_millis_training: 112.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7309, f_measure: 0.6704, kappa: 0.35, kb_relative_information_score: 391.921, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6853, predictive_accuracy: 0.675, prior_entropy: 1, recall: 0.675, relative_absolute_error: 0.8751, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9204, scimark_benchmark: 1711.7139, usercpu_time_millis: 122.037, usercpu_time_millis_testing: 0.829, usercpu_time_millis_training: 121.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, f_measure: 0.7138, kappa: 0.4323, kb_relative_information_score: 433.3882, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7237, predictive_accuracy: 0.7162, prior_entropy: 1, recall: 0.7162, relative_absolute_error: 0.8629, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.8995, scimark_benchmark: 1762.0408, usercpu_time_millis: 127.118, usercpu_time_millis_testing: 0.669, usercpu_time_millis_training: 126.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8157, kappa: 0.6315, kb_relative_information_score: 809.8632, mean_absolute_error: 0.3672, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8166, predictive_accuracy: 0.8158, prior_entropy: 1, recall: 0.8158, relative_absolute_error: 0.7345, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.7922, scimark_benchmark: 2067.4088, usercpu_time_millis: 136.981, usercpu_time_millis_testing: 0.949, usercpu_time_millis_training: 136.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7598, f_measure: 0.6964, kappa: 0.3977, kb_relative_information_score: 391.9355, mean_absolute_error: 0.4384, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7056, predictive_accuracy: 0.6988, prior_entropy: 1, recall: 0.6988, relative_absolute_error: 0.8768, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9085, scimark_benchmark: 1743.2705, usercpu_time_millis: 112.593, usercpu_time_millis_testing: 1.262, usercpu_time_millis_training: 111.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.8014, kappa: 0.6031, kb_relative_information_score: 838.7059, mean_absolute_error: 0.3603, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8023, predictive_accuracy: 0.8015, prior_entropy: 1, recall: 0.8015, relative_absolute_error: 0.7206, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.795, scimark_benchmark: 1858.0974, usercpu_time_millis: 102.139, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 101.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.8095, kappa: 0.6192, kb_relative_information_score: 840.6316, mean_absolute_error: 0.3604, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8103, predictive_accuracy: 0.8096, prior_entropy: 1, recall: 0.8096, relative_absolute_error: 0.7208, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.7901, scimark_benchmark: 1853.3841, usercpu_time_millis: 137.738, usercpu_time_millis_testing: 0.666, usercpu_time_millis_training: 137.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7266, kappa: 0.4577, kb_relative_information_score: 527.3532, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7367, predictive_accuracy: 0.7288, prior_entropy: 1, recall: 0.7288, relative_absolute_error: 0.8299, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.8775, scimark_benchmark: 1847.8482, usercpu_time_millis: 116.862, usercpu_time_millis_testing: 0.513, usercpu_time_millis_training: 116.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.6835, kappa: 0.3738, kb_relative_information_score: 385.9218, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6954, predictive_accuracy: 0.6869, prior_entropy: 1, recall: 0.6869, relative_absolute_error: 0.8776, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9197, scimark_benchmark: 1742.9281, usercpu_time_millis: 87.498, usercpu_time_millis_testing: 0.74, usercpu_time_millis_training: 86.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.74, f_measure: 0.6783, kappa: 0.3608, kb_relative_information_score: 346.6683, mean_absolute_error: 0.446, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6853, predictive_accuracy: 0.6804, prior_entropy: 1, recall: 0.6804, relative_absolute_error: 0.8921, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4605, root_relative_squared_error: 0.921, scimark_benchmark: 1725.442, usercpu_time_millis: 102.454, usercpu_time_millis_testing: 1.461, usercpu_time_millis_training: 100.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7902, f_measure: 0.7223, kappa: 0.4485, kb_relative_information_score: 467.4285, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7305, predictive_accuracy: 0.7242, prior_entropy: 1, recall: 0.7242, relative_absolute_error: 0.8514, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.8885, scimark_benchmark: 1733.7531, usercpu_time_millis: 114.565, usercpu_time_millis_testing: 1.307, usercpu_time_millis_training: 113.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.8099, kappa: 0.62, kb_relative_information_score: 813.4216, mean_absolute_error: 0.3658, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8107, predictive_accuracy: 0.81, prior_entropy: 1, recall: 0.81, relative_absolute_error: 0.7315, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.7953, scimark_benchmark: 1709.9252, usercpu_time_millis: 117.42, usercpu_time_millis_testing: 0.544, usercpu_time_millis_training: 116.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.7574, kappa: 0.5169, kb_relative_information_score: 534.451, mean_absolute_error: 0.4162, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7632, predictive_accuracy: 0.7585, prior_entropy: 1, recall: 0.7585, relative_absolute_error: 0.8323, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.8624, scimark_benchmark: 787.9046, usercpu_time_millis: 101.584, usercpu_time_millis_testing: 1.241, usercpu_time_millis_training: 100.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.7262, kappa: 0.4562, kb_relative_information_score: 534.4209, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7345, predictive_accuracy: 0.7281, prior_entropy: 1, recall: 0.7281, relative_absolute_error: 0.8266, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8771, scimark_benchmark: 1739.709, usercpu_time_millis: 97.703, usercpu_time_millis_testing: 0.471, usercpu_time_millis_training: 97.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, f_measure: 0.7178, kappa: 0.44, kb_relative_information_score: 453.4359, mean_absolute_error: 0.4276, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7272, predictive_accuracy: 0.72, prior_entropy: 1, recall: 0.72, relative_absolute_error: 0.8551, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.8958, scimark_benchmark: 1716.5927, usercpu_time_millis: 114.225, usercpu_time_millis_testing: 0.635, usercpu_time_millis_training: 113.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.7865, kappa: 0.5731, kb_relative_information_score: 800.3122, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7869, predictive_accuracy: 0.7865, prior_entropy: 1, recall: 0.7865, relative_absolute_error: 0.7322, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.8062, scimark_benchmark: 1778.2528, usercpu_time_millis: 140.142, usercpu_time_millis_testing: 0.605, usercpu_time_millis_training: 139.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7688, f_measure: 0.7109, kappa: 0.4262, kb_relative_information_score: 460.7505, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7196, predictive_accuracy: 0.7131, prior_entropy: 1, recall: 0.7131, relative_absolute_error: 0.8514, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.8962, scimark_benchmark: 1730.7008, usercpu_time_millis: 159.734, usercpu_time_millis_testing: 1.258, usercpu_time_millis_training: 158.476,
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: 1733.344, usercpu_time_millis: 2.163, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 1.782,
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: 1736.0929, usercpu_time_millis: 6.041, usercpu_time_millis_testing: 1.01, usercpu_time_millis_training: 5.031,
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: 1711.1583, usercpu_time_millis: 2.506, usercpu_time_millis_testing: 0.467, usercpu_time_millis_training: 2.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6633, f_measure: 0.6005, kappa: 0.2015, kb_relative_information_score: 77.308, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6011, predictive_accuracy: 0.6008, prior_entropy: 1, recall: 0.6008, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4905, root_relative_squared_error: 0.981, scimark_benchmark: 1799.14, usercpu_time_millis: 5.589, usercpu_time_millis_testing: 0.584, usercpu_time_millis_training: 5.005,
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: 1736.4936, usercpu_time_millis: 3.166, usercpu_time_millis_testing: 0.547, usercpu_time_millis_training: 2.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6542, f_measure: 0.608, kappa: 0.2162, kb_relative_information_score: 57.7792, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6082, predictive_accuracy: 0.6081, prior_entropy: 1, recall: 0.6081, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9855, scimark_benchmark: 1735.2343, usercpu_time_millis: 25.493, usercpu_time_millis_testing: 2.445, usercpu_time_millis_training: 23.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6611, f_measure: 0.6028, kappa: 0.2062, kb_relative_information_score: 75.2382, mean_absolute_error: 0.4894, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6034, predictive_accuracy: 0.6031, prior_entropy: 1, recall: 0.6031, relative_absolute_error: 0.9789, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4907, root_relative_squared_error: 0.9815, scimark_benchmark: 1852.5406, usercpu_time_millis: 5.939, usercpu_time_millis_testing: 0.587, usercpu_time_millis_training: 5.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7081, f_measure: 0.644, kappa: 0.2885, kb_relative_information_score: 163.7693, mean_absolute_error: 0.4761, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6445, predictive_accuracy: 0.6442, prior_entropy: 1, recall: 0.6442, relative_absolute_error: 0.9522, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4798, root_relative_squared_error: 0.9596, scimark_benchmark: 1740.8757, usercpu_time_millis: 9.353, usercpu_time_millis_testing: 0.585, usercpu_time_millis_training: 8.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.6177, kappa: 0.2354, kb_relative_information_score: 240.7907, mean_absolute_error: 0.4632, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6177, predictive_accuracy: 0.6177, prior_entropy: 1, recall: 0.6177, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4747, root_relative_squared_error: 0.9495, scimark_benchmark: 1731.5821, usercpu_time_millis: 14.446, usercpu_time_millis_testing: 0.523, usercpu_time_millis_training: 13.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7244, f_measure: 0.6527, kappa: 0.3077, kb_relative_information_score: 269.5145, mean_absolute_error: 0.4591, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6559, predictive_accuracy: 0.6538, prior_entropy: 1, recall: 0.6538, relative_absolute_error: 0.9181, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.937, scimark_benchmark: 1731.5821, usercpu_time_millis: 31.881, usercpu_time_millis_testing: 0.505, usercpu_time_millis_training: 31.376,
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: 1858.6076, usercpu_time_millis: 4.059, usercpu_time_millis_testing: 0.839, usercpu_time_millis_training: 3.22,
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: 2003.8127, usercpu_time_millis: 3.725, usercpu_time_millis_testing: 0.732, usercpu_time_millis_training: 2.993,
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: 1735.8114, usercpu_time_millis: 2.42, usercpu_time_millis_testing: 0.417, usercpu_time_millis_training: 2.003,
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: 1767.382, usercpu_time_millis: 2.832, usercpu_time_millis_testing: 0.475, usercpu_time_millis_training: 2.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.7833, kappa: 0.5677, kb_relative_information_score: 646.088, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7868, predictive_accuracy: 0.7838, prior_entropy: 1, recall: 0.7838, relative_absolute_error: 0.7938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8317, scimark_benchmark: 1742.0652, usercpu_time_millis: 16.737, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 16.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6706, f_measure: 0.6152, kappa: 0.2308, kb_relative_information_score: 180.4492, mean_absolute_error: 0.4731, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6156, predictive_accuracy: 0.6154, prior_entropy: 1, recall: 0.6154, relative_absolute_error: 0.9461, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4822, root_relative_squared_error: 0.9643, scimark_benchmark: 1652.5676, usercpu_time_millis: 32.514, usercpu_time_millis_testing: 0.928, usercpu_time_millis_training: 31.586,
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: 1728.0111, usercpu_time_millis: 3.839, usercpu_time_millis_testing: 0.587, usercpu_time_millis_training: 3.252,
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: 1829.0583, usercpu_time_millis: 3.056, usercpu_time_millis_testing: 0.483, usercpu_time_millis_training: 2.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6984, f_measure: 0.6272, kappa: 0.2554, kb_relative_information_score: 151.1686, mean_absolute_error: 0.4781, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6283, predictive_accuracy: 0.6277, prior_entropy: 1, recall: 0.6277, relative_absolute_error: 0.9561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4815, root_relative_squared_error: 0.9631, scimark_benchmark: 1742.2825, usercpu_time_millis: 14.265, usercpu_time_millis_testing: 0.656, usercpu_time_millis_training: 13.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7359, f_measure: 0.666, kappa: 0.3385, kb_relative_information_score: 346.1527, mean_absolute_error: 0.4459, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6761, predictive_accuracy: 0.6692, prior_entropy: 1, recall: 0.6692, relative_absolute_error: 0.8918, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9219, scimark_benchmark: 1742.5981, usercpu_time_millis: 56.058, usercpu_time_millis_testing: 0.684, usercpu_time_millis_training: 55.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.8036, kappa: 0.6077, kb_relative_information_score: 754.5482, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8055, predictive_accuracy: 0.8038, prior_entropy: 1, recall: 0.8038, relative_absolute_error: 0.7541, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8078, scimark_benchmark: 1751.2976, usercpu_time_millis: 116.189, usercpu_time_millis_testing: 0.658, usercpu_time_millis_training: 115.531,
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: 1746.7981, usercpu_time_millis: 4.139, usercpu_time_millis_testing: 0.715, usercpu_time_millis_training: 3.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6734, f_measure: 0.6309, kappa: 0.2623, kb_relative_information_score: 200.7475, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6316, predictive_accuracy: 0.6312, prior_entropy: 1, recall: 0.6312, relative_absolute_error: 0.9389, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4788, root_relative_squared_error: 0.9575, scimark_benchmark: 1767.9207, usercpu_time_millis: 3.761, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 3.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, f_measure: 0.6501, kappa: 0.3015, kb_relative_information_score: 303.363, mean_absolute_error: 0.4526, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.652, predictive_accuracy: 0.6508, prior_entropy: 1, recall: 0.6508, relative_absolute_error: 0.9053, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4675, root_relative_squared_error: 0.9349, scimark_benchmark: 1775.9914, usercpu_time_millis: 7.258, usercpu_time_millis_testing: 0.397, usercpu_time_millis_training: 6.861,
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: 1748.9619, usercpu_time_millis: 6.664, usercpu_time_millis_testing: 1.134, usercpu_time_millis_training: 5.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6864, f_measure: 0.6134, kappa: 0.2269, kb_relative_information_score: 238.3943, mean_absolute_error: 0.4636, 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: 0.9273, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4761, root_relative_squared_error: 0.9523, scimark_benchmark: 1749.9902, usercpu_time_millis: 10.81, usercpu_time_millis_testing: 0.442, usercpu_time_millis_training: 10.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7956, f_measure: 0.7215, kappa: 0.4446, kb_relative_information_score: 500.2331, mean_absolute_error: 0.4197, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7251, predictive_accuracy: 0.7223, prior_entropy: 1, recall: 0.7223, relative_absolute_error: 0.8394, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.881, scimark_benchmark: 1750.0049, usercpu_time_millis: 9.103, usercpu_time_millis_testing: 0.453, usercpu_time_millis_training: 8.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6689, f_measure: 0.6184, kappa: 0.2377, kb_relative_information_score: 186.2731, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6194, predictive_accuracy: 0.6188, prior_entropy: 1, recall: 0.6188, relative_absolute_error: 0.9445, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4827, root_relative_squared_error: 0.9654, scimark_benchmark: 1729.3645, usercpu_time_millis: 29.051, usercpu_time_millis_testing: 0.677, usercpu_time_millis_training: 28.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8411, kappa: 0.6823, kb_relative_information_score: 982.7018, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8415, predictive_accuracy: 0.8412, prior_entropy: 1, recall: 0.8412, relative_absolute_error: 0.672, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7447, scimark_benchmark: 1825.5538, usercpu_time_millis: 915.649, usercpu_time_millis_testing: 2.319, usercpu_time_millis_training: 913.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.7768, kappa: 0.5554, kb_relative_information_score: 607.7597, mean_absolute_error: 0.4037, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7822, predictive_accuracy: 0.7777, prior_entropy: 1, recall: 0.7777, relative_absolute_error: 0.8074, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.8425, scimark_benchmark: 1776.8103, usercpu_time_millis: 154.244, usercpu_time_millis_testing: 1.275, usercpu_time_millis_training: 152.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, f_measure: 0.6419, kappa: 0.3069, kb_relative_information_score: 354.1808, mean_absolute_error: 0.4439, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6762, predictive_accuracy: 0.6535, prior_entropy: 1, recall: 0.6535, relative_absolute_error: 0.8878, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4665, root_relative_squared_error: 0.9329, scimark_benchmark: 1755.4758, usercpu_time_millis: 160.388, usercpu_time_millis_testing: 0.938, usercpu_time_millis_training: 159.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8542, kappa: 0.7085, kb_relative_information_score: 1388.3395, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8543, predictive_accuracy: 0.8542, prior_entropy: 1, recall: 0.8542, relative_absolute_error: 0.5026, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.336, root_relative_squared_error: 0.6719, scimark_benchmark: 1745.9375, usercpu_time_millis: 162.832, usercpu_time_millis_testing: 0.584, usercpu_time_millis_training: 162.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.764, kappa: 0.53, kb_relative_information_score: 645.1906, mean_absolute_error: 0.3957, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7697, predictive_accuracy: 0.765, prior_entropy: 1, recall: 0.765, relative_absolute_error: 0.7914, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8395, scimark_benchmark: 1745.1997, usercpu_time_millis: 314.685, usercpu_time_millis_testing: 1.289, usercpu_time_millis_training: 313.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.768, kappa: 0.5385, kb_relative_information_score: 622.9259, mean_absolute_error: 0.4001, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.775, predictive_accuracy: 0.7692, prior_entropy: 1, recall: 0.7692, relative_absolute_error: 0.8002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.8427, scimark_benchmark: 1763.8071, usercpu_time_millis: 363.063, usercpu_time_millis_testing: 1.9, usercpu_time_millis_training: 361.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.7403, kappa: 0.4808, kb_relative_information_score: 763.6366, mean_absolute_error: 0.3685, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7407, predictive_accuracy: 0.7404, prior_entropy: 1, recall: 0.7404, relative_absolute_error: 0.737, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.418, root_relative_squared_error: 0.8359, scimark_benchmark: 1730.7855, usercpu_time_millis: 499.978, usercpu_time_millis_testing: 1.022, usercpu_time_millis_training: 498.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.811, kappa: 0.6223, kb_relative_information_score: 850.7624, mean_absolute_error: 0.3585, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8122, predictive_accuracy: 0.8112, prior_entropy: 1, recall: 0.8112, relative_absolute_error: 0.717, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.395, root_relative_squared_error: 0.79, scimark_benchmark: 1747.5976, usercpu_time_millis: 555.882, usercpu_time_millis_testing: 1.117, usercpu_time_millis_training: 554.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.7393, kappa: 0.4792, kb_relative_information_score: 690.8049, mean_absolute_error: 0.3845, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.741, predictive_accuracy: 0.7396, prior_entropy: 1, recall: 0.7396, relative_absolute_error: 0.7689, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.8399, scimark_benchmark: 1776.5868, usercpu_time_millis: 574.423, usercpu_time_millis_testing: 1.289, usercpu_time_millis_training: 573.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.8241, kappa: 0.6485, kb_relative_information_score: 868.0938, mean_absolute_error: 0.3564, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8253, predictive_accuracy: 0.8242, prior_entropy: 1, recall: 0.8242, relative_absolute_error: 0.7127, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7798, scimark_benchmark: 1756.3604, usercpu_time_millis: 916.592, usercpu_time_millis_testing: 2.428, usercpu_time_millis_training: 914.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8419, kappa: 0.6838, kb_relative_information_score: 1186.9443, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8421, predictive_accuracy: 0.8419, prior_entropy: 1, recall: 0.8419, relative_absolute_error: 0.5877, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.709, scimark_benchmark: 1778.4519, usercpu_time_millis: 1106.743, usercpu_time_millis_testing: 1.34, usercpu_time_millis_training: 1105.403,

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