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Function: require_once

OpenML
Task
Supervised Classification on kc3

Supervised Classification on kc3

Task 3915 Supervised Classification kc3 564 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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564 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7908, f_measure: 0.8756, kappa: 0.1894, kb_relative_information_score: -67.988, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8659, predictive_accuracy: 0.8908, prior_entropy: 0.4551, recall: 0.8908, relative_absolute_error: 0.7457, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.994, scimark_benchmark: 1363.454, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6423, f_measure: 0.8921, kappa: 0.3253, kb_relative_information_score: 95.296, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.887, predictive_accuracy: 0.8996, prior_entropy: 0.4551, recall: 0.8996, relative_absolute_error: 0.5854, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3169, root_relative_squared_error: 1.0865, scimark_benchmark: 937.6212, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8615, kb_relative_information_score: 118.575, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.0505, scimark_benchmark: 942.9708, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5116, f_measure: 0.8667, kappa: 0.0414, kb_relative_information_score: 126.3347, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.9167, predictive_accuracy: 0.9083, prior_entropy: 0.4551, recall: 0.9083, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3028, root_relative_squared_error: 1.0382, scimark_benchmark: 1333.5799, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7299, f_measure: 0.873, kappa: 0.1198, kb_relative_information_score: -254.6097, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8648, predictive_accuracy: 0.9017, prior_entropy: 0.4551, recall: 0.9017, relative_absolute_error: 1.0432, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3067, root_relative_squared_error: 1.0515, scimark_benchmark: 939.449, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6302, f_measure: 0.8408, kappa: 0.1984, kb_relative_information_score: -184.0517, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8668, predictive_accuracy: 0.821, prior_entropy: 0.4551, recall: 0.821, relative_absolute_error: 1.0435, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.4231, root_relative_squared_error: 1.4507, scimark_benchmark: 942.6843, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.8764, kappa: 0.1785, kb_relative_information_score: -32.7223, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8664, predictive_accuracy: 0.8952, prior_entropy: 0.4551, recall: 0.8952, relative_absolute_error: 0.7946, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2813, root_relative_squared_error: 0.9644, scimark_benchmark: 939.449, usercpu_time_millis: 5120, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 5040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8615, kb_relative_information_score: 118.575, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.0505, scimark_benchmark: 1331.6907, usercpu_time_millis: 220, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7788, f_measure: 0.7373, kappa: 0.2001, kb_relative_information_score: -735.7174, mean_absolute_error: 0.3308, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.9019, predictive_accuracy: 0.6681, prior_entropy: 0.4551, recall: 0.6681, relative_absolute_error: 1.9279, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.571, root_relative_squared_error: 1.9575, scimark_benchmark: 1337.7959, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.8764, kappa: 0.2187, kb_relative_information_score: -75.9346, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8688, predictive_accuracy: 0.8865, prior_entropy: 0.4551, recall: 0.8865, relative_absolute_error: 0.7974, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2974, root_relative_squared_error: 1.0198, scimark_benchmark: 1368.9272, usercpu_time_millis: 200, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.8521, kappa: 0.2365, kb_relative_information_score: -234.7354, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8729, predictive_accuracy: 0.8362, prior_entropy: 0.4551, recall: 0.8362, relative_absolute_error: 1.0184, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3443, root_relative_squared_error: 1.1805, scimark_benchmark: 934.0566, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.8703, kappa: 0.1089, kb_relative_information_score: -95.7213, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8582, predictive_accuracy: 0.8974, prior_entropy: 0.4551, recall: 0.8974, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2746, root_relative_squared_error: 0.9414, scimark_benchmark: 1307.4861, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6025, f_measure: 0.8661, kappa: 0.209, kb_relative_information_score: -26.661, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8654, predictive_accuracy: 0.8668, prior_entropy: 0.4551, recall: 0.8668, relative_absolute_error: 0.7826, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3657, root_relative_squared_error: 1.2538, scimark_benchmark: 1321.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6613, f_measure: 0.8793, kappa: 0.1903, kb_relative_information_score: -73.393, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8708, predictive_accuracy: 0.8996, prior_entropy: 0.4551, recall: 0.8996, relative_absolute_error: 0.8673, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2918, root_relative_squared_error: 1.0004, scimark_benchmark: 1320.2556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4857, f_measure: 0.862, kappa: 0.0225, kb_relative_information_score: -14.8867, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8409, predictive_accuracy: 0.8996, prior_entropy: 0.4551, recall: 0.8996, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3013, root_relative_squared_error: 1.0329, scimark_benchmark: 1310.8451, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5794, f_measure: 0.8701, kappa: 0.1836, kb_relative_information_score: 25.4591, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8623, predictive_accuracy: 0.8799, prior_entropy: 0.4551, recall: 0.8799, relative_absolute_error: 0.6999, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3465, root_relative_squared_error: 1.1881, scimark_benchmark: 1341.5768, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5092, f_measure: 0.8644, kappa: 0.0316, kb_relative_information_score: 110.8154, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8538, predictive_accuracy: 0.9039, prior_entropy: 0.4551, recall: 0.9039, relative_absolute_error: 0.5599, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.31, root_relative_squared_error: 1.0627, scimark_benchmark: 1313.5005, usercpu_time_millis: 340, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.668, f_measure: 0.884, kappa: 0.3037, kb_relative_information_score: -4.2136, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8817, predictive_accuracy: 0.8865, prior_entropy: 0.4551, recall: 0.8865, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3251, root_relative_squared_error: 1.1144, scimark_benchmark: 1358.4523, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5693, f_measure: 0.8793, kappa: 0.1903, kb_relative_information_score: 95.296, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8708, predictive_accuracy: 0.8996, prior_entropy: 0.4551, recall: 0.8996, relative_absolute_error: 0.5854, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3169, root_relative_squared_error: 1.0865, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5345, f_measure: 0.8676, kappa: 0.0988, kb_relative_information_score: 72.0171, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8533, predictive_accuracy: 0.893, prior_entropy: 0.4551, recall: 0.893, relative_absolute_error: 0.6235, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3271, root_relative_squared_error: 1.1214, scimark_benchmark: 1464.9318, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4727, f_measure: 0.8615, kb_relative_information_score: -7.2965, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2917, root_relative_squared_error: 1.0001, scimark_benchmark: 1358.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6435, f_measure: 0.8859, kappa: 0.2898, kb_relative_information_score: 8.0239, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8804, predictive_accuracy: 0.893, prior_entropy: 0.4551, recall: 0.893, relative_absolute_error: 0.7779, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3089, root_relative_squared_error: 1.059, scimark_benchmark: 1465.2979, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6819, f_measure: 0.8567, kappa: 0.2484, kb_relative_information_score: -230.6916, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8745, predictive_accuracy: 0.8428, prior_entropy: 0.4551, recall: 0.8428, relative_absolute_error: 1.077, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3833, root_relative_squared_error: 1.3142, scimark_benchmark: 931.2336, usercpu_time_millis: 200, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, f_measure: 0.8552, kappa: 0.2444, kb_relative_information_score: -358.6729, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8739, predictive_accuracy: 0.8406, prior_entropy: 0.4551, recall: 0.8406, relative_absolute_error: 1.2008, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3764, root_relative_squared_error: 1.2905, scimark_benchmark: 945.6434, usercpu_time_millis: 320, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7467, f_measure: 0.8512, kappa: 0.2237, kb_relative_information_score: -497.9531, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8702, predictive_accuracy: 0.8362, prior_entropy: 0.4551, recall: 0.8362, relative_absolute_error: 1.3309, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3654, root_relative_squared_error: 1.2526, scimark_benchmark: 941.7954, usercpu_time_millis: 220, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, f_measure: 0.8527, kappa: 0.2275, kb_relative_information_score: -529.4096, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8707, predictive_accuracy: 0.8384, prior_entropy: 0.4551, recall: 0.8384, relative_absolute_error: 1.371, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3688, root_relative_squared_error: 1.2643, scimark_benchmark: 942.3168, usercpu_time_millis: 210, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, f_measure: 0.8527, kappa: 0.2275, kb_relative_information_score: -529.4096, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8707, predictive_accuracy: 0.8384, prior_entropy: 0.4551, recall: 0.8384, relative_absolute_error: 1.371, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3688, root_relative_squared_error: 1.2643, scimark_benchmark: 934.5243, usercpu_time_millis: 220, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7848, f_measure: 0.8674, kappa: 0.0806, kb_relative_information_score: 93.7835, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8534, predictive_accuracy: 0.8974, prior_entropy: 0.4551, recall: 0.8974, relative_absolute_error: 0.5948, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3124, root_relative_squared_error: 1.071, scimark_benchmark: 936.7115, usercpu_time_millis: 540, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8717, kappa: 0.1143, kb_relative_information_score: 97.0734, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8612, predictive_accuracy: 0.8996, prior_entropy: 0.4551, recall: 0.8996, relative_absolute_error: 0.5931, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3071, root_relative_squared_error: 1.0528, scimark_benchmark: 876.8277, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.8717, kappa: 0.1143, kb_relative_information_score: 91.0563, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8612, predictive_accuracy: 0.8996, prior_entropy: 0.4551, recall: 0.8996, relative_absolute_error: 0.5879, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3106, root_relative_squared_error: 1.0649, scimark_benchmark: 936.6206, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.8744, kappa: 0.1411, kb_relative_information_score: 104.235, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8648, predictive_accuracy: 0.8996, prior_entropy: 0.4551, recall: 0.8996, relative_absolute_error: 0.5827, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3042, root_relative_squared_error: 1.0429, scimark_benchmark: 934.5243, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.8758, kappa: 0.1313, kb_relative_information_score: 109.5707, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8745, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3021, root_relative_squared_error: 1.0356, scimark_benchmark: 938.4278, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.756, f_measure: 0.8794, kappa: 0.2299, kb_relative_information_score: -58.7197, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8715, predictive_accuracy: 0.8908, prior_entropy: 0.4551, recall: 0.8908, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3034, root_relative_squared_error: 1.0403, scimark_benchmark: 943.2817, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5844, build_cpu_time: 0.3257, build_memory: 954570062.5153, f_measure: 0.8494, kappa: 0.0239, kb_relative_information_score: -50.9129, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8343, predictive_accuracy: 0.8668, prior_entropy: 0.4551, recall: 0.8668, relative_absolute_error: 0.8022, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3602, root_relative_squared_error: 1.2351, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5928, build_cpu_time: 0.2057, build_memory: 1346457463.4935, f_measure: 0.8481, kappa: 0.0206, kb_relative_information_score: -40.1815, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8337, predictive_accuracy: 0.8646, prior_entropy: 0.4551, recall: 0.8646, relative_absolute_error: 0.7921, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3581, root_relative_squared_error: 1.2279, scimark_benchmark: 925.481,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7262, build_cpu_time: 0.0755, build_memory: 1065933070.1834, f_measure: 0.8383, kappa: 0.1821, kb_relative_information_score: -561.3929, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8636, predictive_accuracy: 0.8188, prior_entropy: 0.4551, recall: 0.8188, relative_absolute_error: 1.4103, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3735, root_relative_squared_error: 1.2804, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, build_cpu_time: 0.0832, build_memory: 238582711.0393, f_measure: 0.8527, kappa: 0.2275, kb_relative_information_score: -529.4096, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8707, predictive_accuracy: 0.8384, prior_entropy: 0.4551, recall: 0.8384, relative_absolute_error: 1.371, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3688, root_relative_squared_error: 1.2643, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, build_cpu_time: 0.0823, build_memory: 304521552.8384, f_measure: 0.8527, kappa: 0.2275, kb_relative_information_score: -529.4096, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8707, predictive_accuracy: 0.8384, prior_entropy: 0.4551, recall: 0.8384, relative_absolute_error: 1.371, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3688, root_relative_squared_error: 1.2643, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, build_cpu_time: 0.0834, build_memory: 992448624.3319, f_measure: 0.8527, kappa: 0.2275, kb_relative_information_score: -529.4096, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8707, predictive_accuracy: 0.8384, prior_entropy: 0.4551, recall: 0.8384, relative_absolute_error: 1.371, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3688, root_relative_squared_error: 1.2643, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, build_cpu_time: 0.0826, build_memory: 1034089497.0306, f_measure: 0.8527, kappa: 0.2275, kb_relative_information_score: -529.4096, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8707, predictive_accuracy: 0.8384, prior_entropy: 0.4551, recall: 0.8384, relative_absolute_error: 1.371, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3688, root_relative_squared_error: 1.2643, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7654, build_cpu_time: 24.1013, build_memory: 1119422261.1004, f_measure: 0.8741, kappa: 0.155, kb_relative_information_score: -66.9586, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8632, predictive_accuracy: 0.8952, prior_entropy: 0.4551, recall: 0.8952, relative_absolute_error: 0.8092, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2946, root_relative_squared_error: 1.0101, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7412, build_cpu_time: 48.4744, build_memory: 1150972089.0306, f_measure: 0.8827, kappa: 0.2547, kb_relative_information_score: -48.2753, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8756, predictive_accuracy: 0.893, prior_entropy: 0.4551, recall: 0.893, relative_absolute_error: 0.7774, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3074, root_relative_squared_error: 1.0538, scimark_benchmark: 892.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7354, build_cpu_time: 107.8184, build_memory: 792892743.0742, f_measure: 0.8824, kappa: 0.2418, kb_relative_information_score: 23.6777, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8746, predictive_accuracy: 0.8952, prior_entropy: 0.4551, recall: 0.8952, relative_absolute_error: 0.6851, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3102, root_relative_squared_error: 1.0636, scimark_benchmark: 940.3132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, build_cpu_time: 45.3974, build_memory: 72597790.393, f_measure: 0.8821, kappa: 0.2279, kb_relative_information_score: 75.6518, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8739, predictive_accuracy: 0.8974, prior_entropy: 0.4551, recall: 0.8974, relative_absolute_error: 0.6105, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3157, root_relative_squared_error: 1.0824, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, build_cpu_time: 27.038, build_memory: 1961592633.2052, f_measure: 0.8821, kappa: 0.2279, kb_relative_information_score: 77.4624, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8739, predictive_accuracy: 0.8974, prior_entropy: 0.4551, recall: 0.8974, relative_absolute_error: 0.605, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3133, root_relative_squared_error: 1.0743, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6884, build_cpu_time: 23.6528, build_memory: 752401779.8603, f_measure: 0.8836, kappa: 0.2341, kb_relative_information_score: 78.7756, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8759, predictive_accuracy: 0.8996, prior_entropy: 0.4551, recall: 0.8996, relative_absolute_error: 0.6031, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3127, root_relative_squared_error: 1.072, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6815, build_cpu_time: 12.7735, build_memory: 1132799809.3974, f_measure: 0.8806, kappa: 0.2218, kb_relative_information_score: 74.2652, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.872, predictive_accuracy: 0.8952, prior_entropy: 0.4551, recall: 0.8952, relative_absolute_error: 0.6142, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3155, root_relative_squared_error: 1.0818, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7226, build_cpu_time: 6.8995, build_memory: 523913746.5677, f_measure: 0.879, kappa: 0.2159, kb_relative_information_score: 56.6906, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8703, predictive_accuracy: 0.893, prior_entropy: 0.4551, recall: 0.893, relative_absolute_error: 0.6385, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3208, root_relative_squared_error: 1.0999, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6991, build_cpu_time: 1.4373, build_memory: 1347417625.4323, f_measure: 0.8746, kappa: 0.1991, kb_relative_information_score: 15.3402, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8659, predictive_accuracy: 0.8865, prior_entropy: 0.4551, recall: 0.8865, relative_absolute_error: 0.6952, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3242, root_relative_squared_error: 1.1117, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7245, build_cpu_time: 2.4233, build_memory: 298046919.1092, f_measure: 0.8654, kappa: 0.1539, kb_relative_information_score: 1.7369, mean_absolute_error: 0.1256, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8571, predictive_accuracy: 0.8755, prior_entropy: 0.4551, recall: 0.8755, relative_absolute_error: 0.7322, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3412, root_relative_squared_error: 1.1697, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7461, build_cpu_time: 5.1083, build_memory: 177368114.7598, f_measure: 0.8579, kappa: 0.0838, kb_relative_information_score: 1.3191, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8454, predictive_accuracy: 0.8734, prior_entropy: 0.4551, recall: 0.8734, relative_absolute_error: 0.7255, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3415, root_relative_squared_error: 1.1709, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, build_cpu_time: 7.4232, build_memory: 210038512.4017, f_measure: 0.8677, kappa: 0.147, kb_relative_information_score: 26.1854, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8571, predictive_accuracy: 0.8821, prior_entropy: 0.4551, recall: 0.8821, relative_absolute_error: 0.6891, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3342, root_relative_squared_error: 1.1457, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, build_cpu_time: 8.7907, build_memory: 119676818.3755, f_measure: 0.8677, kappa: 0.147, kb_relative_information_score: 25.6158, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8571, predictive_accuracy: 0.8821, prior_entropy: 0.4551, recall: 0.8821, relative_absolute_error: 0.6907, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.335, root_relative_squared_error: 1.1487, scimark_benchmark: 920.2874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, build_cpu_time: 0.4609, build_memory: 611509161.048, f_measure: 0.8623, kappa: 0.0802, kb_relative_information_score: 13.4985, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8467, predictive_accuracy: 0.8843, prior_entropy: 0.4551, recall: 0.8843, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3272, root_relative_squared_error: 1.1217, scimark_benchmark: 945.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, build_cpu_time: 0.4386, build_memory: 1036381080.7511, f_measure: 0.8623, kappa: 0.0802, kb_relative_information_score: 13.4985, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8467, predictive_accuracy: 0.8843, prior_entropy: 0.4551, recall: 0.8843, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3272, root_relative_squared_error: 1.1217, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, build_cpu_time: 0.5404, build_memory: 1661251873.2227, f_measure: 0.8623, kappa: 0.0802, kb_relative_information_score: 13.4985, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8467, predictive_accuracy: 0.8843, prior_entropy: 0.4551, recall: 0.8843, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3272, root_relative_squared_error: 1.1217, scimark_benchmark: 906.6607,

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

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From your own software

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

OpenML APIs