OpenML
Supervised Classification on webdata_wXa

Supervised Classification on webdata_wXa

Task 3504 Supervised Classification webdata_wXa 397 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_15 study_20 study_41 under100k
Issue #Downvotes for this reason By


Metric:

397 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.6564, kb_relative_information_score: 91.2412, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.5776, predictive_accuracy: 0.76, prior_entropy: 0.7951, recall: 0.76, relative_absolute_error: 0.9375, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.9685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.8107, kappa: 0.5142, kb_relative_information_score: 13386.5888, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8309, predictive_accuracy: 0.8018, prior_entropy: 0.7951, recall: 0.8018, relative_absolute_error: 0.568, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.9378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8105, kappa: 0.52, kb_relative_information_score: 12705.2609, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.836, predictive_accuracy: 0.8005, prior_entropy: 0.7951, recall: 0.8005, relative_absolute_error: 0.5842, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.9209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.6564, kb_relative_information_score: -0.6807, mean_absolute_error: 0.3648, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.5776, predictive_accuracy: 0.76, prior_entropy: 0.7951, recall: 0.76, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4271, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.8148, kappa: 0.5245, kb_relative_information_score: 14137.4151, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8347, predictive_accuracy: 0.8062, prior_entropy: 0.7951, recall: 0.8062, relative_absolute_error: 0.5487, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.9397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7466, f_measure: 0.6564, kb_relative_information_score: 4351.9157, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.5776, predictive_accuracy: 0.76, prior_entropy: 0.7951, recall: 0.76, relative_absolute_error: 0.8141, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.9023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.655, f_measure: 0.7399, kappa: 0.2984, kb_relative_information_score: 7150.0419, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.7444, predictive_accuracy: 0.7361, prior_entropy: 0.7951, recall: 0.7361, relative_absolute_error: 0.7144, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.1723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.8193, kappa: 0.4907, kb_relative_information_score: 12558.7411, mean_absolute_error: 0.2291, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8169, predictive_accuracy: 0.8253, prior_entropy: 0.7951, recall: 0.8253, relative_absolute_error: 0.628, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.8104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6426, f_measure: 0.5863, kappa: 0.1984, kb_relative_information_score: -13823.4634, mean_absolute_error: 0.4479, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.7593, predictive_accuracy: 0.5598, prior_entropy: 0.7951, recall: 0.5598, relative_absolute_error: 1.2276, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.6591, root_relative_squared_error: 1.5434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5927, f_measure: 0.7394, kappa: 0.2326, kb_relative_information_score: 11498.5162, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.7468, predictive_accuracy: 0.7768, prior_entropy: 0.7951, recall: 0.7768, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4724, root_relative_squared_error: 1.1061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.8054, kappa: 0.4407, kb_relative_information_score: 11431.295, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8057, predictive_accuracy: 0.8185, prior_entropy: 0.7951, recall: 0.8185, relative_absolute_error: 0.6637, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.8281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6279, f_measure: 0.7384, kappa: 0.2676, kb_relative_information_score: 7821.3854, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.7336, predictive_accuracy: 0.7446, prior_entropy: 0.7951, recall: 0.7446, relative_absolute_error: 0.7, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.5053, root_relative_squared_error: 1.1832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, f_measure: 0.8053, kappa: 0.4802, kb_relative_information_score: 11150.5789, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8118, predictive_accuracy: 0.8009, prior_entropy: 0.7951, recall: 0.8009, relative_absolute_error: 0.6283, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.8899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.8093, kappa: 0.4621, kb_relative_information_score: 12462.1041, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8065, predictive_accuracy: 0.8159, prior_entropy: 0.7951, recall: 0.8159, relative_absolute_error: 0.6341, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.8692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.8145, kappa: 0.4735, kb_relative_information_score: 10111.859, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8125, predictive_accuracy: 0.8227, prior_entropy: 0.7951, recall: 0.8227, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.8341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.8148, kappa: 0.5245, kb_relative_information_score: 14137.4151, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8347, predictive_accuracy: 0.8062, prior_entropy: 0.7951, recall: 0.8062, relative_absolute_error: 0.5487, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.9397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7338, f_measure: 0.8281, kappa: 0.5105, kb_relative_information_score: 18303.215, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8274, predictive_accuracy: 0.8365, prior_entropy: 0.7951, recall: 0.8365, relative_absolute_error: 0.4483, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.73, f_measure: 0.8265, kappa: 0.5051, kb_relative_information_score: 18201.3298, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8262, predictive_accuracy: 0.8356, prior_entropy: 0.7951, recall: 0.8356, relative_absolute_error: 0.4508, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.9495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.8191, kappa: 0.4841, kb_relative_information_score: 11377.065, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8183, predictive_accuracy: 0.8286, prior_entropy: 0.7951, recall: 0.8286, relative_absolute_error: 0.6578, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.7948, scimark_benchmark: 1847.1036, usercpu_time_millis: 231080, usercpu_time_millis_testing: 230060, usercpu_time_millis_training: 1020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.8305, kappa: 0.5214, kb_relative_information_score: 13637.166, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8288, predictive_accuracy: 0.8367, prior_entropy: 0.7951, recall: 0.8367, relative_absolute_error: 0.6036, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.7785, scimark_benchmark: 1455.84, usercpu_time_millis: 21930, usercpu_time_millis_testing: 590, usercpu_time_millis_training: 21340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.8148, kappa: 0.5245, kb_relative_information_score: 14137.4151, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8347, predictive_accuracy: 0.8062, prior_entropy: 0.7951, recall: 0.8062, relative_absolute_error: 0.5487, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.9397, scimark_benchmark: 901.458, usercpu_time_millis: 7720, usercpu_time_millis_testing: 3760, usercpu_time_millis_training: 3960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, f_measure: 0.8254, kappa: 0.5087, kb_relative_information_score: 12206.5522, mean_absolute_error: 0.2372, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8232, predictive_accuracy: 0.8307, prior_entropy: 0.7951, recall: 0.8307, relative_absolute_error: 0.6503, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.812, scimark_benchmark: 937.8851, usercpu_time_millis: 49210, usercpu_time_millis_testing: 1010, usercpu_time_millis_training: 48200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.73, f_measure: 0.8265, kappa: 0.5051, kb_relative_information_score: 18201.3298, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8262, predictive_accuracy: 0.8356, prior_entropy: 0.7951, recall: 0.8356, relative_absolute_error: 0.4508, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.9495, scimark_benchmark: 1382.4275, usercpu_time_millis: 329620, usercpu_time_millis_testing: 147220, usercpu_time_millis_training: 182400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7338, f_measure: 0.8281, kappa: 0.5105, kb_relative_information_score: 18303.215, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8274, predictive_accuracy: 0.8365, prior_entropy: 0.7951, recall: 0.8365, relative_absolute_error: 0.4483, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.9469, scimark_benchmark: 1383.7943, usercpu_time_millis: 281140, usercpu_time_millis_testing: 120040, usercpu_time_millis_training: 161100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.8236, kappa: 0.5417, kb_relative_information_score: 11407.7066, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8388, predictive_accuracy: 0.8164, prior_entropy: 0.7951, recall: 0.8164, relative_absolute_error: 0.6685, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.8373, scimark_benchmark: 1918.4916, usercpu_time_millis: 1481250, usercpu_time_millis_testing: 1265.625, usercpu_time_millis_training: 1479984.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.8299, kappa: 0.5215, kb_relative_information_score: 18174.1336, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8279, predictive_accuracy: 0.8351, prior_entropy: 0.7951, recall: 0.8351, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.9398, scimark_benchmark: 1918.4916, usercpu_time_millis: 1843609.375, usercpu_time_millis_testing: 1140.625, usercpu_time_millis_training: 1842468.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6564, kb_relative_information_score: 9575.0465, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.5776, predictive_accuracy: 0.76, prior_entropy: 0.7951, recall: 0.76, relative_absolute_error: 0.6579, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4899, root_relative_squared_error: 1.1471, scimark_benchmark: 1854.0453, usercpu_time_millis: 210234.375, usercpu_time_millis_testing: 104734.375, usercpu_time_millis_training: 105500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6564, kb_relative_information_score: 9575.0465, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.5776, predictive_accuracy: 0.76, prior_entropy: 0.7951, recall: 0.76, relative_absolute_error: 0.6579, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4899, root_relative_squared_error: 1.1471, scimark_benchmark: 1742.8208, usercpu_time_millis: 161015.625, usercpu_time_millis_testing: 65218.75, usercpu_time_millis_training: 95796.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7428, f_measure: 0.8305, kappa: 0.5207, kb_relative_information_score: 18352.6139, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8289, predictive_accuracy: 0.8369, prior_entropy: 0.7951, recall: 0.8369, relative_absolute_error: 0.4471, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.9456, scimark_benchmark: 1377.4309, usercpu_time_millis: 285406.25, usercpu_time_millis_testing: 61484.375, usercpu_time_millis_training: 223921.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.8143, kappa: 0.4767, kb_relative_information_score: 15877.8549, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8117, predictive_accuracy: 0.8204, prior_entropy: 0.7951, recall: 0.8204, relative_absolute_error: 0.5118, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.375, root_relative_squared_error: 0.8781, scimark_benchmark: 1351.9887, usercpu_time_millis: 2695570, usercpu_time_millis_testing: 3500, usercpu_time_millis_training: 2692070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.8285, kappa: 0.5123, kb_relative_information_score: 18313.0264, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8276, predictive_accuracy: 0.8365, prior_entropy: 0.7951, recall: 0.8365, relative_absolute_error: 0.4483, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.9378, scimark_benchmark: 1416.417, usercpu_time_millis: 203890.625, usercpu_time_millis_testing: 1593.75, usercpu_time_millis_training: 202296.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.6563, kappa: 0.3081, kb_relative_information_score: -5126.5634, mean_absolute_error: 0.3681, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8123, predictive_accuracy: 0.6318, prior_entropy: 0.7951, recall: 0.6318, relative_absolute_error: 1.009, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.6014, root_relative_squared_error: 1.4083, usercpu_time_millis: 144.595, usercpu_time_millis_testing: 136.666, usercpu_time_millis_training: 7.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8302, kappa: 0.5226, kb_relative_information_score: 13178.543, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8282, predictive_accuracy: 0.8352, prior_entropy: 0.7951, recall: 0.8352, relative_absolute_error: 0.609, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.7814, usercpu_time_millis: 11.362, usercpu_time_millis_testing: 0.202, usercpu_time_millis_training: 11.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7454, f_measure: 0.8307, kappa: 0.5226, kb_relative_information_score: 18297.0401, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8288, predictive_accuracy: 0.8364, prior_entropy: 0.7951, recall: 0.8364, relative_absolute_error: 0.4485, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.9471, usercpu_time_millis: 84632.037, usercpu_time_millis_testing: 4.226, usercpu_time_millis_training: 84627.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.747, f_measure: 0.83, kappa: 0.5221, kb_relative_information_score: 18145.756, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.828, predictive_accuracy: 0.8351, prior_entropy: 0.7951, recall: 0.8351, relative_absolute_error: 0.4521, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.9509, usercpu_time_millis: 81785.282, usercpu_time_millis_testing: 43.324, usercpu_time_millis_training: 81741.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7276, f_measure: 0.8236, kappa: 0.4976, kb_relative_information_score: 17833.9254, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8227, predictive_accuracy: 0.8323, prior_entropy: 0.7951, recall: 0.8323, relative_absolute_error: 0.4596, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.9587, usercpu_time_millis: 9603.243, usercpu_time_millis_testing: 279.899, usercpu_time_millis_training: 9323.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, f_measure: 0.7854, kappa: 0.3989, kb_relative_information_score: 13091.6308, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.782, predictive_accuracy: 0.7908, prior_entropy: 0.7951, recall: 0.7908, relative_absolute_error: 0.5734, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4574, root_relative_squared_error: 1.0709, usercpu_time_millis: 20526.638, usercpu_time_millis_testing: 4985.118, usercpu_time_millis_training: 15541.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6957, f_measure: 0.7999, kappa: 0.4294, kb_relative_information_score: 15305.3191, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.7974, predictive_accuracy: 0.8102, prior_entropy: 0.7951, recall: 0.8102, relative_absolute_error: 0.5203, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4357, root_relative_squared_error: 1.0201, usercpu_time_millis: 2845.92, usercpu_time_millis_testing: 8.142, usercpu_time_millis_training: 2837.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, f_measure: 0.8283, kappa: 0.516, kb_relative_information_score: 18040.7833, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8264, predictive_accuracy: 0.8342, prior_entropy: 0.7951, recall: 0.8342, relative_absolute_error: 0.4546, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.9535, usercpu_time_millis: 7436.604, usercpu_time_millis_testing: 11.56, usercpu_time_millis_training: 7425.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7118, f_measure: 0.8126, kappa: 0.4653, kb_relative_information_score: 16703.9255, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8113, predictive_accuracy: 0.8224, prior_entropy: 0.7951, recall: 0.8224, relative_absolute_error: 0.4867, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.9866, usercpu_time_millis: 7.838, usercpu_time_millis_testing: 0.56, usercpu_time_millis_training: 7.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7415, f_measure: 0.8282, kappa: 0.5152, kb_relative_information_score: 18050.0456, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8263, predictive_accuracy: 0.8342, prior_entropy: 0.7951, recall: 0.8342, relative_absolute_error: 0.4544, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.9533, usercpu_time_millis: 102.699, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 102.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7617, f_measure: 0.8317, kappa: 0.5341, kb_relative_information_score: 17960.5101, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8303, predictive_accuracy: 0.8335, prior_entropy: 0.7951, recall: 0.8335, relative_absolute_error: 0.4565, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.9556, usercpu_time_millis: 25.45, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 25.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.8025, kappa: 0.4325, kb_relative_information_score: 15916.6305, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8022, predictive_accuracy: 0.8155, prior_entropy: 0.7951, recall: 0.8155, relative_absolute_error: 0.5056, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4295, root_relative_squared_error: 1.0056, usercpu_time_millis: 23.925, usercpu_time_millis_testing: 0.399, usercpu_time_millis_training: 23.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, f_measure: 0.8029, kappa: 0.4339, kb_relative_information_score: 15938.2426, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8025, predictive_accuracy: 0.8157, prior_entropy: 0.7951, recall: 0.8157, relative_absolute_error: 0.5051, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4293, root_relative_squared_error: 1.0051, usercpu_time_millis: 2272.281, usercpu_time_millis_testing: 9.487, usercpu_time_millis_training: 2262.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7267, f_measure: 0.8199, kappa: 0.4893, kb_relative_information_score: 17272.0129, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.818, predictive_accuracy: 0.8274, prior_entropy: 0.7951, recall: 0.8274, relative_absolute_error: 0.4731, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.9727, usercpu_time_millis: 1649.467, usercpu_time_millis_testing: 19.008, usercpu_time_millis_training: 1630.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6966, f_measure: 0.785, kappa: 0.4034, kb_relative_information_score: 12758.1882, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.7827, predictive_accuracy: 0.7879, prior_entropy: 0.7951, recall: 0.7879, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4606, root_relative_squared_error: 1.0784, usercpu_time_millis: 8560.503, usercpu_time_millis_testing: 6.269, usercpu_time_millis_training: 8554.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.8213, kappa: 0.4937, kb_relative_information_score: 17426.3845, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8195, predictive_accuracy: 0.8288, prior_entropy: 0.7951, recall: 0.8288, relative_absolute_error: 0.4694, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.9689, usercpu_time_millis: 5209.356, usercpu_time_millis_testing: 9.22, usercpu_time_millis_training: 5200.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6589, f_measure: 0.7857, kappa: 0.3757, kb_relative_information_score: 14978.0514, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.7914, predictive_accuracy: 0.8073, prior_entropy: 0.7951, recall: 0.8073, relative_absolute_error: 0.5281, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.0278, usercpu_time_millis: 7134.744, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 7134.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6564, kb_relative_information_score: 9575.0465, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.5776, predictive_accuracy: 0.76, prior_entropy: 0.7951, recall: 0.76, relative_absolute_error: 0.6579, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4899, root_relative_squared_error: 1.1471, usercpu_time_millis: 12398.231, usercpu_time_millis_testing: 4774.746, usercpu_time_millis_training: 7623.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.8307, kappa: 0.522, kb_relative_information_score: 18346.439, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.829, predictive_accuracy: 0.8368, prior_entropy: 0.7951, recall: 0.8368, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.9458, usercpu_time_millis: 175.817, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 175.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, f_measure: 0.8159, kappa: 0.4718, kb_relative_information_score: 17302.8872, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8167, predictive_accuracy: 0.8277, prior_entropy: 0.7951, recall: 0.8277, relative_absolute_error: 0.4723, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.9719, usercpu_time_millis: 14.815, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 14.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.8113, kappa: 0.4885, kb_relative_information_score: 15209.6087, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8137, predictive_accuracy: 0.8094, prior_entropy: 0.7951, recall: 0.8094, relative_absolute_error: 0.5226, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4366, root_relative_squared_error: 1.0223, usercpu_time_millis: 65.753, usercpu_time_millis_testing: 0.355, usercpu_time_millis_training: 65.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5927, f_measure: 0.7394, kappa: 0.2326, kb_relative_information_score: 11498.5162, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.7468, predictive_accuracy: 0.7768, prior_entropy: 0.7951, recall: 0.7768, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4724, root_relative_squared_error: 1.1061, usercpu_time_millis: 37.026, usercpu_time_millis_testing: 4, usercpu_time_millis_training: 33.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.8242, kappa: 0.4996, kb_relative_information_score: 17889.4992, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8233, predictive_accuracy: 0.8328, prior_entropy: 0.7951, recall: 0.8328, relative_absolute_error: 0.4582, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.9573, usercpu_time_millis: 4454.251, usercpu_time_millis_testing: 79.754, usercpu_time_millis_training: 4374.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7483, f_measure: 0.8305, kappa: 0.5239, kb_relative_information_score: 18176.6303, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8285, predictive_accuracy: 0.8353, prior_entropy: 0.7951, recall: 0.8353, relative_absolute_error: 0.4513, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.9501, usercpu_time_millis: 26.456, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 26.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.8299, kappa: 0.5254, kb_relative_information_score: 17938.8981, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8279, predictive_accuracy: 0.8333, prior_entropy: 0.7951, recall: 0.8333, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.9561, usercpu_time_millis: 3560.845, usercpu_time_millis_testing: 312.76, usercpu_time_millis_training: 3248.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7449, f_measure: 0.8299, kappa: 0.5206, kb_relative_information_score: 18188.98, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8279, predictive_accuracy: 0.8355, prior_entropy: 0.7951, recall: 0.8355, relative_absolute_error: 0.451, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.9498, usercpu_time_millis: 322.695, usercpu_time_millis_testing: 0.744, usercpu_time_millis_training: 321.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, f_measure: 0.6563, kappa: 0.3081, kb_relative_information_score: -5056.2909, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8123, predictive_accuracy: 0.6318, prior_entropy: 0.7951, recall: 0.6318, relative_absolute_error: 1.0092, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.6068, root_relative_squared_error: 1.4207, usercpu_time_millis: 152.599, usercpu_time_millis_testing: 143.739, usercpu_time_millis_training: 8.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7454, f_measure: 0.8306, kappa: 0.5225, kb_relative_information_score: 18293.9527, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8288, predictive_accuracy: 0.8364, prior_entropy: 0.7951, recall: 0.8364, relative_absolute_error: 0.4485, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.9471, usercpu_time_millis: 170.934, usercpu_time_millis_testing: 0.497, usercpu_time_millis_training: 170.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7454, f_measure: 0.8307, kappa: 0.5226, kb_relative_information_score: 18297.0401, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8288, predictive_accuracy: 0.8364, prior_entropy: 0.7951, recall: 0.8364, relative_absolute_error: 0.4485, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.9471, usercpu_time_millis: 184.116, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 183.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6744, f_measure: 0.7671, kappa: 0.3556, kb_relative_information_score: 10652.56, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.7651, predictive_accuracy: 0.7694, prior_entropy: 0.7951, recall: 0.7694, relative_absolute_error: 0.632, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4802, root_relative_squared_error: 1.1243, usercpu_time_millis: 416.435, usercpu_time_millis_testing: 415.585, usercpu_time_millis_training: 0.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, f_measure: 0.8305, kappa: 0.5245, kb_relative_information_score: 18155.0183, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8285, predictive_accuracy: 0.8352, prior_entropy: 0.7951, recall: 0.8352, relative_absolute_error: 0.4519, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.406, root_relative_squared_error: 0.9507, usercpu_time_millis: 4.149, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 4.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.744, f_measure: 0.8299, kappa: 0.5202, kb_relative_information_score: 18232.2041, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8281, predictive_accuracy: 0.8358, prior_entropy: 0.7951, recall: 0.8358, relative_absolute_error: 0.45, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.9487, usercpu_time_millis: 4.836, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 4.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7211, f_measure: 0.8154, kappa: 0.4769, kb_relative_information_score: 16771.849, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8132, predictive_accuracy: 0.823, prior_entropy: 0.7951, recall: 0.823, relative_absolute_error: 0.4851, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.985, usercpu_time_millis: 1313.354, usercpu_time_millis_testing: 3.892, usercpu_time_millis_training: 1309.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7159, f_measure: 0.8188, kappa: 0.4808, kb_relative_information_score: 17556.0566, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8194, predictive_accuracy: 0.8299, prior_entropy: 0.7951, recall: 0.8299, relative_absolute_error: 0.4662, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.9657, usercpu_time_millis: 73.918, usercpu_time_millis_testing: 0.217, usercpu_time_millis_training: 73.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7053, f_measure: 0.812, kappa: 0.46, kb_relative_information_score: 16901.5211, mean_absolute_error: 0.1758, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8125, predictive_accuracy: 0.8242, prior_entropy: 0.7951, recall: 0.8242, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.9818, usercpu_time_millis: 41.578, usercpu_time_millis_testing: 0.751, usercpu_time_millis_training: 40.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7327, f_measure: 0.8266, kappa: 0.5069, kb_relative_information_score: 18117.9691, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8257, predictive_accuracy: 0.8348, prior_entropy: 0.7951, recall: 0.8348, relative_absolute_error: 0.4528, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.9516, usercpu_time_millis: 920.139, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 919.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6851, f_measure: 0.778, kappa: 0.3823, kb_relative_information_score: 12054.2539, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.7752, predictive_accuracy: 0.7817, prior_entropy: 0.7951, recall: 0.7817, relative_absolute_error: 0.5984, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4672, root_relative_squared_error: 1.094, usercpu_time_millis: 27.73, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 27.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7379, f_measure: 0.8243, kappa: 0.5051, kb_relative_information_score: 17556.0566, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8221, predictive_accuracy: 0.8299, prior_entropy: 0.7951, recall: 0.8299, relative_absolute_error: 0.4662, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.9657, usercpu_time_millis: 133.086, usercpu_time_millis_testing: 5.449, usercpu_time_millis_training: 127.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7469, f_measure: 0.8315, kappa: 0.5252, kb_relative_information_score: 18380.4008, mean_absolute_error: 0.1629, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8297, predictive_accuracy: 0.8371, prior_entropy: 0.7951, recall: 0.8371, relative_absolute_error: 0.4465, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.9449, usercpu_time_millis: 1331.477, usercpu_time_millis_testing: 6.483, usercpu_time_millis_training: 1324.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, f_measure: 0.7989, kappa: 0.4237, kb_relative_information_score: 15410.2918, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.7974, predictive_accuracy: 0.8111, prior_entropy: 0.7951, recall: 0.8111, relative_absolute_error: 0.5178, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4346, root_relative_squared_error: 1.0176, usercpu_time_millis: 2859.516, usercpu_time_millis_testing: 7.603, usercpu_time_millis_training: 2851.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7298, f_measure: 0.8234, kappa: 0.4984, kb_relative_information_score: 17713.5156, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.822, predictive_accuracy: 0.8313, prior_entropy: 0.7951, recall: 0.8313, relative_absolute_error: 0.4625, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.9617, usercpu_time_millis: 4656.981, usercpu_time_millis_testing: 17.599, usercpu_time_millis_training: 4639.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7454, f_measure: 0.8307, kappa: 0.5226, kb_relative_information_score: 18297.0401, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8288, predictive_accuracy: 0.8364, prior_entropy: 0.7951, recall: 0.8364, relative_absolute_error: 0.4485, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.9471, usercpu_time_millis: 187.674, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 187.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, f_measure: 0.8325, kappa: 0.5284, kb_relative_information_score: 18460.674, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8306, predictive_accuracy: 0.8378, prior_entropy: 0.7951, recall: 0.8378, relative_absolute_error: 0.4445, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.9429, usercpu_time_millis: 1034.863, usercpu_time_millis_testing: 2.258, usercpu_time_millis_training: 1032.605,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7315, f_measure: 0.8271, kappa: 0.5072, kb_relative_information_score: 18238.3789, mean_absolute_error: 0.1641, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8267, predictive_accuracy: 0.8359, prior_entropy: 0.7951, recall: 0.8359, relative_absolute_error: 0.4499, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.9485, scimark_benchmark: 998.6815, usercpu_time_millis: 33260, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 33050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.8148, kappa: 0.5245, kb_relative_information_score: 14137.4151, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8347, predictive_accuracy: 0.8062, prior_entropy: 0.7951, recall: 0.8062, relative_absolute_error: 0.5487, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.9397, scimark_benchmark: 1485.3049, usercpu_time_millis: 7310, usercpu_time_millis_testing: 3290, usercpu_time_millis_training: 4020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.8236, kappa: 0.5437, kb_relative_information_score: 11272.251, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8403, predictive_accuracy: 0.8161, prior_entropy: 0.7951, recall: 0.8161, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.8357, scimark_benchmark: 1273.3493, usercpu_time_millis: 228650, usercpu_time_millis_testing: 1940, usercpu_time_millis_training: 226710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7426, f_measure: 0.8303, kappa: 0.5202, kb_relative_information_score: 18337.1767, mean_absolute_error: 0.1633, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8287, predictive_accuracy: 0.8368, prior_entropy: 0.7951, recall: 0.8368, relative_absolute_error: 0.4475, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.404, root_relative_squared_error: 0.946, scimark_benchmark: 1301.5319, usercpu_time_millis: 1204560, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 1204380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.8307, kappa: 0.5226, kb_relative_information_score: 13769.633, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8288, predictive_accuracy: 0.8364, prior_entropy: 0.7951, recall: 0.8364, relative_absolute_error: 0.5989, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.7785, scimark_benchmark: 1359.445, usercpu_time_millis: 11130, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 10800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, f_measure: 0.7662, kappa: 0.3622, kb_relative_information_score: 7517.5633, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.7674, predictive_accuracy: 0.7652, prior_entropy: 0.7951, recall: 0.7652, relative_absolute_error: 0.7209, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4443, root_relative_squared_error: 1.0404, scimark_benchmark: 1378.8107, usercpu_time_millis: 204850, usercpu_time_millis_testing: 202250, usercpu_time_millis_training: 2600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.8223, kappa: 0.4937, kb_relative_information_score: 13172.2697, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8216, predictive_accuracy: 0.8314, prior_entropy: 0.7951, recall: 0.8314, relative_absolute_error: 0.6153, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.7878, scimark_benchmark: 1337.5726, usercpu_time_millis: 224400, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 224020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7339, f_measure: 0.8163, kappa: 0.4793, kb_relative_information_score: 9951.6517, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8141, predictive_accuracy: 0.8238, prior_entropy: 0.7951, recall: 0.8238, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.8656, scimark_benchmark: 1379.3364, usercpu_time_millis: 232130, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 231980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.784, kappa: 0.3943, kb_relative_information_score: 9622.6933, mean_absolute_error: 0.2484, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.7804, predictive_accuracy: 0.7897, prior_entropy: 0.7951, recall: 0.7897, relative_absolute_error: 0.681, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.381, root_relative_squared_error: 0.8921, scimark_benchmark: 944.2577, usercpu_time_millis: 206120, usercpu_time_millis_testing: 15580, usercpu_time_millis_training: 190540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8198, kappa: 0.4925, kb_relative_information_score: 12591.874, mean_absolute_error: 0.2288, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8174, predictive_accuracy: 0.8256, prior_entropy: 0.7951, recall: 0.8256, relative_absolute_error: 0.6272, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.3459, root_relative_squared_error: 0.8098, scimark_benchmark: 892.6686, usercpu_time_millis: 30110, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 29890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.813, kappa: 0.4726, kb_relative_information_score: 12632.4423, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8104, predictive_accuracy: 0.8195, prior_entropy: 0.7951, recall: 0.8195, relative_absolute_error: 0.6318, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.8447, scimark_benchmark: 1242.1173, usercpu_time_millis: 82590, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 82440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5751, f_measure: 0.3648, kappa: 0.0769, kb_relative_information_score: -34312.277, mean_absolute_error: 0.625, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.7498, predictive_accuracy: 0.3856, prior_entropy: 0.7951, recall: 0.3856, relative_absolute_error: 1.7131, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.7818, root_relative_squared_error: 1.8305, scimark_benchmark: 1213.9388, usercpu_time_millis: 9630, usercpu_time_millis_testing: 1750, usercpu_time_millis_training: 7880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.8148, kappa: 0.5245, kb_relative_information_score: 14137.4151, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8347, predictive_accuracy: 0.8062, prior_entropy: 0.7951, recall: 0.8062, relative_absolute_error: 0.5487, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.9397, scimark_benchmark: 1341.8499, usercpu_time_millis: 9750, usercpu_time_millis_testing: 3480, usercpu_time_millis_training: 6270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7428, f_measure: 0.8305, kappa: 0.5207, kb_relative_information_score: 18352.6139, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8289, predictive_accuracy: 0.8369, prior_entropy: 0.7951, recall: 0.8369, relative_absolute_error: 0.4471, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.9456, scimark_benchmark: 1618.1738, usercpu_time_millis: 1448625, usercpu_time_millis_testing: 187.5, usercpu_time_millis_training: 1448437.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7315, f_measure: 0.8271, kappa: 0.5072, kb_relative_information_score: 18238.3789, mean_absolute_error: 0.1641, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8267, predictive_accuracy: 0.8359, prior_entropy: 0.7951, recall: 0.8359, relative_absolute_error: 0.4499, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.9485, scimark_benchmark: 1618.1738, usercpu_time_millis: 13468.75, usercpu_time_millis_testing: 156.25, usercpu_time_millis_training: 13312.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.8266, kappa: 0.5451, kb_relative_information_score: 11570.0538, mean_absolute_error: 0.2436, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8382, predictive_accuracy: 0.8206, prior_entropy: 0.7951, recall: 0.8206, relative_absolute_error: 0.6677, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.8364, scimark_benchmark: 949.7197, usercpu_time_millis: 248560, usercpu_time_millis_testing: 2040, usercpu_time_millis_training: 246520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.8307, kappa: 0.5226, kb_relative_information_score: 13769.6329, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8288, predictive_accuracy: 0.8364, prior_entropy: 0.7951, recall: 0.8364, relative_absolute_error: 0.5989, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.7785, scimark_benchmark: 709.3425, usercpu_time_millis: 15140, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 14740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, f_measure: 0.7662, kappa: 0.3622, kb_relative_information_score: 7517.5633, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.7674, predictive_accuracy: 0.7652, prior_entropy: 0.7951, recall: 0.7652, relative_absolute_error: 0.7209, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4443, root_relative_squared_error: 1.0404, scimark_benchmark: 1143.3209, usercpu_time_millis: 487720, usercpu_time_millis_testing: 480510, usercpu_time_millis_training: 7210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.8223, kappa: 0.4937, kb_relative_information_score: 13172.2697, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8216, predictive_accuracy: 0.8314, prior_entropy: 0.7951, recall: 0.8314, relative_absolute_error: 0.6153, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.7878, scimark_benchmark: 1069.2809, usercpu_time_millis: 480300, usercpu_time_millis_testing: 540, usercpu_time_millis_training: 479760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.8165, kappa: 0.4804, kb_relative_information_score: 9994.5675, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8143, predictive_accuracy: 0.824, prior_entropy: 0.7951, recall: 0.824, relative_absolute_error: 0.74, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.8658, scimark_benchmark: 973.6243, usercpu_time_millis: 673260, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 673050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.8196, kappa: 0.4917, kb_relative_information_score: 12596.3816, mean_absolute_error: 0.2288, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8173, predictive_accuracy: 0.8256, prior_entropy: 0.7951, recall: 0.8256, relative_absolute_error: 0.6272, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.3459, root_relative_squared_error: 0.8099, scimark_benchmark: 754.9739, usercpu_time_millis: 34280, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 33960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.7854, kappa: 0.3979, kb_relative_information_score: 9628.6794, mean_absolute_error: 0.2484, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.7818, predictive_accuracy: 0.7913, prior_entropy: 0.7951, recall: 0.7913, relative_absolute_error: 0.6808, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.8915, scimark_benchmark: 719.0458, usercpu_time_millis: 167710, usercpu_time_millis_testing: 14260, usercpu_time_millis_training: 153450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5751, f_measure: 0.3648, kappa: 0.0769, kb_relative_information_score: -34310.1166, mean_absolute_error: 0.625, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.7498, predictive_accuracy: 0.3856, prior_entropy: 0.7951, recall: 0.3856, relative_absolute_error: 1.7131, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.7818, root_relative_squared_error: 1.8305, scimark_benchmark: 964.4456, usercpu_time_millis: 13820, usercpu_time_millis_testing: 1910, usercpu_time_millis_training: 11910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.8132, kappa: 0.4732, kb_relative_information_score: 12641.4777, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8106, predictive_accuracy: 0.8197, prior_entropy: 0.7951, recall: 0.8197, relative_absolute_error: 0.6316, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.8445, scimark_benchmark: 1093.2145, usercpu_time_millis: 97580, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 97440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.8223, kappa: 0.4937, kb_relative_information_score: 13172.2697, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8216, predictive_accuracy: 0.8314, prior_entropy: 0.7951, recall: 0.8314, relative_absolute_error: 0.6153, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.7878, scimark_benchmark: 1788.6668, usercpu_time_millis: 165093.75, usercpu_time_millis_testing: 125, usercpu_time_millis_training: 164968.75,

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