Task
Supervised Classification on grub-damage

Supervised Classification on grub-damage

Task 3497 Supervised Classification grub-damage 506 runs submitted
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  • study_1 study_107 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.4313, kappa: 0.2214, kb_relative_information_score: 42.6787, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4363, predictive_accuracy: 0.4323, prior_entropy: 1.9281, recall: 0.4323, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4515, root_relative_squared_error: 1.0592, scimark_benchmark: 952.4682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.4838, kappa: 0.2973, kb_relative_information_score: 47.27, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4858, predictive_accuracy: 0.4903, prior_entropy: 1.9281, recall: 0.4903, relative_absolute_error: 0.7908, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.9878, scimark_benchmark: 952.4682, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, f_measure: 0.3707, kappa: 0.1361, kb_relative_information_score: 30.9588, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3719, predictive_accuracy: 0.3742, prior_entropy: 1.9281, recall: 0.3742, relative_absolute_error: 0.8944, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4362, root_relative_squared_error: 1.0232, scimark_benchmark: 946.9304, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6377, f_measure: 0.3925, kappa: 0.1694, kb_relative_information_score: 34.2734, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3933, predictive_accuracy: 0.4, prior_entropy: 1.9281, recall: 0.4, relative_absolute_error: 0.8869, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.455, root_relative_squared_error: 1.0672, scimark_benchmark: 933.4598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5906, f_measure: 0.3582, kappa: 0.1819, kb_relative_information_score: 40.7119, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3546, predictive_accuracy: 0.4258, prior_entropy: 1.9281, recall: 0.4258, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.5358, root_relative_squared_error: 1.2568, scimark_benchmark: 1322.7279, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.4814, kappa: 0.2922, kb_relative_information_score: 52.8616, mean_absolute_error: 0.2748, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4843, predictive_accuracy: 0.4839, prior_entropy: 1.9281, recall: 0.4839, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.9806, scimark_benchmark: 1327.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.4313, kappa: 0.2214, kb_relative_information_score: 42.6787, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4363, predictive_accuracy: 0.4323, prior_entropy: 1.9281, recall: 0.4323, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4515, root_relative_squared_error: 1.0592, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.4313, kappa: 0.2214, kb_relative_information_score: 42.6787, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4363, predictive_accuracy: 0.4323, prior_entropy: 1.9281, recall: 0.4323, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4515, root_relative_squared_error: 1.0592, scimark_benchmark: 1318.6467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, f_measure: 0.3707, kappa: 0.1361, kb_relative_information_score: 30.9588, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3719, predictive_accuracy: 0.3742, prior_entropy: 1.9281, recall: 0.3742, relative_absolute_error: 0.8944, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4362, root_relative_squared_error: 1.0232, scimark_benchmark: 1322.5413, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.4814, kappa: 0.2922, kb_relative_information_score: 52.8616, mean_absolute_error: 0.2748, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4843, predictive_accuracy: 0.4839, prior_entropy: 1.9281, recall: 0.4839, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.9806, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.4313, kappa: 0.2214, kb_relative_information_score: 42.6787, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4363, predictive_accuracy: 0.4323, prior_entropy: 1.9281, recall: 0.4323, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4515, root_relative_squared_error: 1.0592, scimark_benchmark: 1309.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.4838, kappa: 0.2973, kb_relative_information_score: 47.27, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4858, predictive_accuracy: 0.4903, prior_entropy: 1.9281, recall: 0.4903, relative_absolute_error: 0.7908, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.9878, scimark_benchmark: 1325.7874, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, f_measure: 0.3707, kappa: 0.1361, kb_relative_information_score: 30.9588, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3719, predictive_accuracy: 0.3742, prior_entropy: 1.9281, recall: 0.3742, relative_absolute_error: 0.8944, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4362, root_relative_squared_error: 1.0232, scimark_benchmark: 1325.7874, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6377, f_measure: 0.3925, kappa: 0.1694, kb_relative_information_score: 34.2734, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3933, predictive_accuracy: 0.4, prior_entropy: 1.9281, recall: 0.4, relative_absolute_error: 0.8869, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.455, root_relative_squared_error: 1.0672, scimark_benchmark: 1324.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.4814, kappa: 0.2922, kb_relative_information_score: 52.8616, mean_absolute_error: 0.2748, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4843, predictive_accuracy: 0.4839, prior_entropy: 1.9281, recall: 0.4839, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.9806, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.4313, kappa: 0.2214, kb_relative_information_score: 42.6787, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4363, predictive_accuracy: 0.4323, prior_entropy: 1.9281, recall: 0.4323, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4515, root_relative_squared_error: 1.0592, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.4313, kappa: 0.2214, kb_relative_information_score: 42.6787, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4363, predictive_accuracy: 0.4323, prior_entropy: 1.9281, recall: 0.4323, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4515, root_relative_squared_error: 1.0592, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5906, f_measure: 0.3582, kappa: 0.1819, kb_relative_information_score: 40.7119, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3546, predictive_accuracy: 0.4258, prior_entropy: 1.9281, recall: 0.4258, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.5358, root_relative_squared_error: 1.2568, scimark_benchmark: 1340.5125, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.4814, kappa: 0.2922, kb_relative_information_score: 52.8616, mean_absolute_error: 0.2748, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4843, predictive_accuracy: 0.4839, prior_entropy: 1.9281, recall: 0.4839, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.9806, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.4313, kappa: 0.2214, kb_relative_information_score: 42.6787, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4363, predictive_accuracy: 0.4323, prior_entropy: 1.9281, recall: 0.4323, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4515, root_relative_squared_error: 1.0592, scimark_benchmark: 1340.5125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.4313, kappa: 0.2214, kb_relative_information_score: 42.6787, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4363, predictive_accuracy: 0.4323, prior_entropy: 1.9281, recall: 0.4323, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4515, root_relative_squared_error: 1.0592, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.4313, kappa: 0.2214, kb_relative_information_score: 42.6787, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4363, predictive_accuracy: 0.4323, prior_entropy: 1.9281, recall: 0.4323, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4515, root_relative_squared_error: 1.0592, scimark_benchmark: 1340.9749,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6581, f_measure: 0.4057, kappa: 0.1825, kb_relative_information_score: 35.1536, mean_absolute_error: 0.3189, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4055, predictive_accuracy: 0.4065, prior_entropy: 1.9281, recall: 0.4065, relative_absolute_error: 0.8765, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4379, root_relative_squared_error: 1.0272, scimark_benchmark: 1325.8468, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5906, f_measure: 0.3582, kappa: 0.1819, kb_relative_information_score: 40.7119, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3546, predictive_accuracy: 0.4258, prior_entropy: 1.9281, recall: 0.4258, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.5358, root_relative_squared_error: 1.2568, scimark_benchmark: 1317.5857, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.4814, kappa: 0.2922, kb_relative_information_score: 52.8616, mean_absolute_error: 0.2748, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4843, predictive_accuracy: 0.4839, prior_entropy: 1.9281, recall: 0.4839, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.9806, scimark_benchmark: 1324.6442,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6377, f_measure: 0.3925, kappa: 0.1694, kb_relative_information_score: 34.2734, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3933, predictive_accuracy: 0.4, prior_entropy: 1.9281, recall: 0.4, relative_absolute_error: 0.8869, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.455, root_relative_squared_error: 1.0672, scimark_benchmark: 1347.1763, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.4814, kappa: 0.2922, kb_relative_information_score: 52.8616, mean_absolute_error: 0.2748, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4843, predictive_accuracy: 0.4839, prior_entropy: 1.9281, recall: 0.4839, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.9806, scimark_benchmark: 1313.11,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6097, f_measure: 0.3785, kappa: 0.1609, kb_relative_information_score: 30.8795, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3714, predictive_accuracy: 0.3935, prior_entropy: 1.9281, recall: 0.3935, relative_absolute_error: 0.8929, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4499, root_relative_squared_error: 1.0554, scimark_benchmark: 916.6405, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6377, f_measure: 0.3925, kappa: 0.1694, kb_relative_information_score: 34.2734, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3933, predictive_accuracy: 0.4, prior_entropy: 1.9281, recall: 0.4, relative_absolute_error: 0.8869, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.455, root_relative_squared_error: 1.0672, scimark_benchmark: 1343.6648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.4066, kappa: 0.1879, kb_relative_information_score: 29.055, mean_absolute_error: 0.3271, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4063, predictive_accuracy: 0.4194, prior_entropy: 1.9281, recall: 0.4194, relative_absolute_error: 0.8991, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.9552, scimark_benchmark: 1311.9814, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6702, f_measure: 0.3791, kappa: 0.1518, kb_relative_information_score: 36.3236, mean_absolute_error: 0.3162, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3803, predictive_accuracy: 0.3871, prior_entropy: 1.9281, recall: 0.3871, relative_absolute_error: 0.8691, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4289, root_relative_squared_error: 1.0059, scimark_benchmark: 1323.7742, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, f_measure: 0.375, kappa: 0.1431, kb_relative_information_score: 28.4104, mean_absolute_error: 0.3282, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.371, predictive_accuracy: 0.3871, prior_entropy: 1.9281, recall: 0.3871, relative_absolute_error: 0.9022, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.9558, scimark_benchmark: 1352.2099, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6377, f_measure: 0.3925, kappa: 0.1694, kb_relative_information_score: 34.2734, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3933, predictive_accuracy: 0.4, prior_entropy: 1.9281, recall: 0.4, relative_absolute_error: 0.8869, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.455, root_relative_squared_error: 1.0672, scimark_benchmark: 1331.2332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.654, f_measure: 0.2823, kappa: 0.1359, kb_relative_information_score: 40.9428, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.305, predictive_accuracy: 0.3806, prior_entropy: 1.9281, recall: 0.3806, relative_absolute_error: 0.7958, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4789, root_relative_squared_error: 1.1233, scimark_benchmark: 1328.941, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6377, f_measure: 0.3925, kappa: 0.1694, kb_relative_information_score: 34.2734, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3933, predictive_accuracy: 0.4, prior_entropy: 1.9281, recall: 0.4, relative_absolute_error: 0.8869, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.455, root_relative_squared_error: 1.0672, scimark_benchmark: 1322.4968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6045, f_measure: 0.4303, kappa: 0.2107, kb_relative_information_score: 44.3516, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4348, predictive_accuracy: 0.4323, prior_entropy: 1.9281, recall: 0.4323, relative_absolute_error: 0.7803, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.5328, root_relative_squared_error: 1.2497, scimark_benchmark: 1314.0383, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6668, f_measure: 0.4239, kappa: 0.2099, kb_relative_information_score: 36.8261, mean_absolute_error: 0.3157, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4232, predictive_accuracy: 0.4258, prior_entropy: 1.9281, recall: 0.4258, relative_absolute_error: 0.8679, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4333, root_relative_squared_error: 1.0162, scimark_benchmark: 896.937, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.4814, kappa: 0.2922, kb_relative_information_score: 52.8616, mean_absolute_error: 0.2748, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4843, predictive_accuracy: 0.4839, prior_entropy: 1.9281, recall: 0.4839, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.9806, scimark_benchmark: 1307.3764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.4313, kappa: 0.2214, kb_relative_information_score: 42.6787, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4363, predictive_accuracy: 0.4323, prior_entropy: 1.9281, recall: 0.4323, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4515, root_relative_squared_error: 1.0592, scimark_benchmark: 912.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, f_measure: 0.3652, kappa: 0.1313, kb_relative_information_score: 34.4106, mean_absolute_error: 0.3144, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3637, predictive_accuracy: 0.3677, prior_entropy: 1.9281, recall: 0.3677, relative_absolute_error: 0.8642, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4607, root_relative_squared_error: 1.0807, scimark_benchmark: 1316.653, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5526, f_measure: 0.3474, kappa: 0.105, kb_relative_information_score: 28.6376, mean_absolute_error: 0.3258, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3469, predictive_accuracy: 0.3484, prior_entropy: 1.9281, recall: 0.3484, relative_absolute_error: 0.8956, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.5708, root_relative_squared_error: 1.3389, scimark_benchmark: 909.1698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6783, f_measure: 0.3715, kappa: 0.1974, kb_relative_information_score: 6.3423, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4395, predictive_accuracy: 0.4387, prior_entropy: 1.9281, recall: 0.4387, relative_absolute_error: 1.0108, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.9981, scimark_benchmark: 1313.6093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5518, f_measure: 0.2718, kappa: 0.0535, kb_relative_information_score: 12.763, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.2434, predictive_accuracy: 0.3355, prior_entropy: 1.9281, recall: 0.3355, relative_absolute_error: 0.9696, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.427, root_relative_squared_error: 1.0016, scimark_benchmark: 943.1756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6095, f_measure: 0.357, kappa: 0.1587, kb_relative_information_score: 20.0915, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3431, predictive_accuracy: 0.4065, prior_entropy: 1.9281, recall: 0.4065, relative_absolute_error: 0.9426, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.9862, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5466, f_measure: 0.2821, kappa: 0.0688, kb_relative_information_score: 13.7231, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3059, predictive_accuracy: 0.3484, prior_entropy: 1.9281, recall: 0.3484, relative_absolute_error: 0.9622, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4341, root_relative_squared_error: 1.0182, scimark_benchmark: 1321.5205, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.3758, kappa: 0.1428, kb_relative_information_score: 28.4934, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3766, predictive_accuracy: 0.3871, prior_entropy: 1.9281, recall: 0.3871, relative_absolute_error: 0.9018, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.955, scimark_benchmark: 1358.4523, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6829, f_measure: 0.4659, kappa: 0.2625, kb_relative_information_score: 44.5726, mean_absolute_error: 0.2921, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4688, predictive_accuracy: 0.4645, prior_entropy: 1.9281, recall: 0.4645, relative_absolute_error: 0.8029, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4561, root_relative_squared_error: 1.0699, scimark_benchmark: 1329.8847, usercpu_time_millis: 70, usercpu_time_millis_training: 70,

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