Task
Supervised Classification on wisconsin

Supervised Classification on wisconsin

Task 3619 Supervised Classification wisconsin 564 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5804, build_cpu_time: 0.3041, build_memory: 2591627832.5773, f_measure: 0.5656, kappa: 0.1256, kb_relative_information_score: 11.7543, mean_absolute_error: 0.471, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5653, predictive_accuracy: 0.567, prior_entropy: 0.9963, recall: 0.567, relative_absolute_error: 0.9469, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5085, root_relative_squared_error: 1.0196, scimark_benchmark: 892.4379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5575, f_measure: 0.5567, kappa: 0.1088, kb_relative_information_score: 10.7583, mean_absolute_error: 0.4716, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5567, predictive_accuracy: 0.5567, prior_entropy: 0.9963, recall: 0.5567, relative_absolute_error: 0.948, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5317, root_relative_squared_error: 1.0662, scimark_benchmark: 1347.5461, usercpu_time_millis: 650, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5895, f_measure: 0.5716, kappa: 0.1506, kb_relative_information_score: 18.4485, mean_absolute_error: 0.4534, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5799, predictive_accuracy: 0.5722, prior_entropy: 0.9963, recall: 0.5722, relative_absolute_error: 0.9116, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5382, root_relative_squared_error: 1.0792, scimark_benchmark: 1322.0065, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3742, kb_relative_information_score: 12.6531, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.2874, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6811, root_relative_squared_error: 1.3658, scimark_benchmark: 1350.4825, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5927, f_measure: 0.5455, kappa: 0.0853, kb_relative_information_score: 16.1733, mean_absolute_error: 0.4582, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5451, predictive_accuracy: 0.5464, prior_entropy: 0.9963, recall: 0.5464, relative_absolute_error: 0.9211, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5149, root_relative_squared_error: 1.0324, scimark_benchmark: 1318.3027, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, f_measure: 0.4653, kappa: -0.0051, kb_relative_information_score: 0.4455, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4987, predictive_accuracy: 0.5206, prior_entropy: 0.9963, recall: 0.5206, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0297, scimark_benchmark: 1342.4614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, f_measure: 0.4653, kappa: -0.0051, kb_relative_information_score: 0.4455, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4987, predictive_accuracy: 0.5206, prior_entropy: 0.9963, recall: 0.5206, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0297, scimark_benchmark: 1349.8336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, f_measure: 0.4653, kappa: -0.0051, kb_relative_information_score: 0.4455, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4987, predictive_accuracy: 0.5206, prior_entropy: 0.9963, recall: 0.5206, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0297, scimark_benchmark: 1328.1785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5205, f_measure: 0.5105, kappa: 0.0162, kb_relative_information_score: 6.7321, mean_absolute_error: 0.4788, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5107, predictive_accuracy: 0.5103, prior_entropy: 0.9963, recall: 0.5103, relative_absolute_error: 0.9625, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6147, root_relative_squared_error: 1.2326, scimark_benchmark: 1371.9645, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, f_measure: 0.4653, kappa: -0.0051, kb_relative_information_score: 0.4455, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4987, predictive_accuracy: 0.5206, prior_entropy: 0.9963, recall: 0.5206, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0297, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, f_measure: 0.4653, kappa: -0.0051, kb_relative_information_score: 0.4455, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4987, predictive_accuracy: 0.5206, prior_entropy: 0.9963, recall: 0.5206, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0297, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, f_measure: 0.4653, kappa: -0.0051, kb_relative_information_score: 0.4455, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4987, predictive_accuracy: 0.5206, prior_entropy: 0.9963, recall: 0.5206, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0297, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5927, f_measure: 0.5455, kappa: 0.0853, kb_relative_information_score: 16.1733, mean_absolute_error: 0.4582, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5451, predictive_accuracy: 0.5464, prior_entropy: 0.9963, recall: 0.5464, relative_absolute_error: 0.9211, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5149, root_relative_squared_error: 1.0324, scimark_benchmark: 1350.7721, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4879, f_measure: 0.4653, kappa: -0.0051, kb_relative_information_score: -1.4325, mean_absolute_error: 0.5007, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4987, predictive_accuracy: 0.5206, prior_entropy: 0.9963, recall: 0.5206, relative_absolute_error: 1.0067, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5124, root_relative_squared_error: 1.0275, scimark_benchmark: 1385.8862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, f_measure: 0.4653, kappa: -0.0051, kb_relative_information_score: 0.4455, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4987, predictive_accuracy: 0.5206, prior_entropy: 0.9963, recall: 0.5206, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0297, scimark_benchmark: 1332.7986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, f_measure: 0.4653, kappa: -0.0051, kb_relative_information_score: 0.4455, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4987, predictive_accuracy: 0.5206, prior_entropy: 0.9963, recall: 0.5206, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0297, scimark_benchmark: 1309.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, f_measure: 0.4653, kappa: -0.0051, kb_relative_information_score: 0.4455, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4987, predictive_accuracy: 0.5206, prior_entropy: 0.9963, recall: 0.5206, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0297, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, f_measure: 0.4653, kappa: -0.0051, kb_relative_information_score: 0.4455, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4987, predictive_accuracy: 0.5206, prior_entropy: 0.9963, recall: 0.5206, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0297, scimark_benchmark: 1354.5533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5989, f_measure: 0.5953, kappa: 0.1856, kb_relative_information_score: 23.0609, mean_absolute_error: 0.4437, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5959, predictive_accuracy: 0.5979, prior_entropy: 0.9963, recall: 0.5979, relative_absolute_error: 0.8919, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5388, root_relative_squared_error: 1.0805, scimark_benchmark: 1358.6198, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5575, f_measure: 0.5567, kappa: 0.1088, kb_relative_information_score: 10.7583, mean_absolute_error: 0.4716, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5567, predictive_accuracy: 0.5567, prior_entropy: 0.9963, recall: 0.5567, relative_absolute_error: 0.948, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5317, root_relative_squared_error: 1.0662, scimark_benchmark: 1343.3311, usercpu_time_millis: 470, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, f_measure: 0.4653, kappa: -0.0051, kb_relative_information_score: 0.4455, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4987, predictive_accuracy: 0.5206, prior_entropy: 0.9963, recall: 0.5206, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0297, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4879, f_measure: 0.4653, kappa: -0.0051, kb_relative_information_score: -1.4325, mean_absolute_error: 0.5007, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4987, predictive_accuracy: 0.5206, prior_entropy: 0.9963, recall: 0.5206, relative_absolute_error: 1.0067, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5124, root_relative_squared_error: 1.0275, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, f_measure: 0.4653, kappa: -0.0051, kb_relative_information_score: 0.4455, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4987, predictive_accuracy: 0.5206, prior_entropy: 0.9963, recall: 0.5206, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0297, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5979, f_measure: 0.5917, kappa: 0.1782, kb_relative_information_score: 12.922, mean_absolute_error: 0.4695, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5915, predictive_accuracy: 0.5928, prior_entropy: 0.9963, recall: 0.5928, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0006, scimark_benchmark: 1296.8947, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, f_measure: 0.4653, kappa: -0.0051, kb_relative_information_score: 0.4455, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4987, predictive_accuracy: 0.5206, prior_entropy: 0.9963, recall: 0.5206, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0297, scimark_benchmark: 1331.7953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5848, f_measure: 0.5594, kappa: 0.1132, kb_relative_information_score: 10.9588, mean_absolute_error: 0.4731, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5594, predictive_accuracy: 0.5619, prior_entropy: 0.9963, recall: 0.5619, relative_absolute_error: 0.9511, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5051, root_relative_squared_error: 1.0128, scimark_benchmark: 1349.1517, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, f_measure: 0.4653, kappa: -0.0051, kb_relative_information_score: 0.4455, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4987, predictive_accuracy: 0.5206, prior_entropy: 0.9963, recall: 0.5206, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0297, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, f_measure: 0.4653, kappa: -0.0051, kb_relative_information_score: 0.4455, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4987, predictive_accuracy: 0.5206, prior_entropy: 0.9963, recall: 0.5206, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0297, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5979, f_measure: 0.5917, kappa: 0.1782, kb_relative_information_score: 12.922, mean_absolute_error: 0.4695, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5915, predictive_accuracy: 0.5928, prior_entropy: 0.9963, recall: 0.5928, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0006, scimark_benchmark: 1317.5857, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, f_measure: 0.4653, kappa: -0.0051, kb_relative_information_score: 0.4455, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4987, predictive_accuracy: 0.5206, prior_entropy: 0.9963, recall: 0.5206, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0297, scimark_benchmark: 1340.9749, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5979, f_measure: 0.5917, kappa: 0.1782, kb_relative_information_score: 12.922, mean_absolute_error: 0.4695, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5915, predictive_accuracy: 0.5928, prior_entropy: 0.9963, recall: 0.5928, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0006, scimark_benchmark: 1350.2591, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, f_measure: 0.4653, kappa: -0.0051, kb_relative_information_score: 0.4455, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4987, predictive_accuracy: 0.5206, prior_entropy: 0.9963, recall: 0.5206, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0297, scimark_benchmark: 1337.9552, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5895, f_measure: 0.5716, kappa: 0.1506, kb_relative_information_score: 18.4485, mean_absolute_error: 0.4534, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5799, predictive_accuracy: 0.5722, prior_entropy: 0.9963, recall: 0.5722, relative_absolute_error: 0.9116, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5382, root_relative_squared_error: 1.0792, scimark_benchmark: 1340.9446, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5927, f_measure: 0.5455, kappa: 0.0853, kb_relative_information_score: 16.1733, mean_absolute_error: 0.4582, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5451, predictive_accuracy: 0.5464, prior_entropy: 0.9963, recall: 0.5464, relative_absolute_error: 0.9211, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5149, root_relative_squared_error: 1.0324, scimark_benchmark: 1314.9949, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5518, f_measure: 0.5521, kappa: 0.1031, kb_relative_information_score: 18.6975, mean_absolute_error: 0.4485, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5542, predictive_accuracy: 0.5515, prior_entropy: 0.9963, recall: 0.5515, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6697, root_relative_squared_error: 1.3428, usercpu_time_millis: 0.323, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 0.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, f_measure: 0.5879, kappa: 0.1722, kb_relative_information_score: 32.8011, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5883, predictive_accuracy: 0.5876, prior_entropy: 0.9963, recall: 0.5876, relative_absolute_error: 0.829, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6422, root_relative_squared_error: 1.2877, usercpu_time_millis: 0.426, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6151, f_measure: 0.6178, kappa: 0.2308, kb_relative_information_score: 44.8899, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.6176, predictive_accuracy: 0.6186, prior_entropy: 0.9963, recall: 0.6186, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6176, root_relative_squared_error: 1.2385, usercpu_time_millis: 1.187, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 1.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3742, kb_relative_information_score: 12.6531, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.2874, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6811, root_relative_squared_error: 1.3658, usercpu_time_millis: 10.249, usercpu_time_millis_testing: 0.992, usercpu_time_millis_training: 9.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6373, f_measure: 0.6392, kappa: 0.2746, kb_relative_information_score: 52.9491, mean_absolute_error: 0.3608, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.6392, predictive_accuracy: 0.6392, prior_entropy: 0.9963, recall: 0.6392, relative_absolute_error: 0.7254, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6007, root_relative_squared_error: 1.2045, usercpu_time_millis: 16.033, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 15.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5832, f_measure: 0.5863, kappa: 0.1672, kb_relative_information_score: 32.8011, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5861, predictive_accuracy: 0.5876, prior_entropy: 0.9963, recall: 0.5876, relative_absolute_error: 0.829, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6422, root_relative_squared_error: 1.2877, usercpu_time_millis: 2.267, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 2.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5171, f_measure: 0.4535, kappa: 0.0361, kb_relative_information_score: 16.6827, mean_absolute_error: 0.4536, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5501, predictive_accuracy: 0.5464, prior_entropy: 0.9963, recall: 0.5464, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6735, root_relative_squared_error: 1.3505, usercpu_time_millis: 1.672, usercpu_time_millis_testing: 0.507, usercpu_time_millis_training: 1.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, f_measure: 0.5868, kappa: 0.1685, kb_relative_information_score: 32.8011, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5865, predictive_accuracy: 0.5876, prior_entropy: 0.9963, recall: 0.5876, relative_absolute_error: 0.829, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6422, root_relative_squared_error: 1.2877, usercpu_time_millis: 26.218, usercpu_time_millis_testing: 4.951, usercpu_time_millis_training: 21.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.588, f_measure: 0.5912, kappa: 0.177, kb_relative_information_score: 34.8159, mean_absolute_error: 0.4072, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5911, predictive_accuracy: 0.5928, prior_entropy: 0.9963, recall: 0.5928, relative_absolute_error: 0.8187, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6381, root_relative_squared_error: 1.2796, usercpu_time_millis: 48.087, usercpu_time_millis_testing: 2.966, usercpu_time_millis_training: 45.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4925, f_measure: 0.4952, kappa: -0.0151, kb_relative_information_score: -1.4505, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4949, predictive_accuracy: 0.5, prior_entropy: 0.9963, recall: 0.5, relative_absolute_error: 1.0052, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4179, usercpu_time_millis: 1.657, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 1.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5943, f_measure: 0.5972, kappa: 0.1892, kb_relative_information_score: 36.8307, mean_absolute_error: 0.4021, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5969, predictive_accuracy: 0.5979, prior_entropy: 0.9963, recall: 0.5979, relative_absolute_error: 0.8083, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6341, root_relative_squared_error: 1.2715, usercpu_time_millis: 12.104, usercpu_time_millis_testing: 1.032, usercpu_time_millis_training: 11.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3742, kb_relative_information_score: 12.6531, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.2874, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6811, root_relative_squared_error: 1.3658, usercpu_time_millis: 0.69, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 0.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6191, f_measure: 0.6222, kappa: 0.2395, kb_relative_information_score: 46.9047, mean_absolute_error: 0.3763, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.6224, predictive_accuracy: 0.6237, prior_entropy: 0.9963, recall: 0.6237, relative_absolute_error: 0.7565, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6134, root_relative_squared_error: 1.2301, usercpu_time_millis: 1.428, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 1.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6191, f_measure: 0.6222, kappa: 0.2395, kb_relative_information_score: 46.9047, mean_absolute_error: 0.3763, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.6224, predictive_accuracy: 0.6237, prior_entropy: 0.9963, recall: 0.6237, relative_absolute_error: 0.7565, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6134, root_relative_squared_error: 1.2301, usercpu_time_millis: 3.535, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 3.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6206, f_measure: 0.6232, kappa: 0.2418, kb_relative_information_score: 46.9047, mean_absolute_error: 0.3763, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.623, predictive_accuracy: 0.6237, prior_entropy: 0.9963, recall: 0.6237, relative_absolute_error: 0.7565, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6134, root_relative_squared_error: 1.2301, usercpu_time_millis: 0.131, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5703, f_measure: 0.5723, kappa: 0.1405, kb_relative_information_score: 26.7567, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5725, predictive_accuracy: 0.5722, prior_entropy: 0.9963, recall: 0.5722, relative_absolute_error: 0.8601, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6541, root_relative_squared_error: 1.3116, usercpu_time_millis: 2.953, usercpu_time_millis_testing: 0.948, usercpu_time_millis_training: 2.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5777, f_measure: 0.5808, kappa: 0.1562, kb_relative_information_score: 30.7863, mean_absolute_error: 0.4175, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5807, predictive_accuracy: 0.5825, prior_entropy: 0.9963, recall: 0.5825, relative_absolute_error: 0.8394, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6462, root_relative_squared_error: 1.2957, usercpu_time_millis: 0.594, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 0.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6221, f_measure: 0.6238, kappa: 0.244, kb_relative_information_score: 46.9047, mean_absolute_error: 0.3763, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.624, predictive_accuracy: 0.6237, prior_entropy: 0.9963, recall: 0.6237, relative_absolute_error: 0.7565, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6134, root_relative_squared_error: 1.2301, usercpu_time_millis: 0.082, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3742, kb_relative_information_score: 12.6531, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.2874, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6811, root_relative_squared_error: 1.3658, usercpu_time_millis: 0.8, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4951, f_measure: 0.4959, kappa: -0.01, kb_relative_information_score: 0.5643, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4974, predictive_accuracy: 0.5052, prior_entropy: 0.9963, recall: 0.5052, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.7035, root_relative_squared_error: 1.4106, usercpu_time_millis: 0.377, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 0.267,

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