Task
Supervised Classification on ar6

Supervised Classification on ar6

Task 3914 Supervised Classification ar6 583 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6027, f_measure: 0.7832, kb_relative_information_score: -3.8671, mean_absolute_error: 0.2372, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.725, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.9811, scimark_benchmark: 1314.7093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4329, f_measure: 0.7682, kappa: -0.0521, kb_relative_information_score: -8.5212, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7212, predictive_accuracy: 0.8218, prior_entropy: 0.623, recall: 0.8218, relative_absolute_error: 1.0225, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3952, root_relative_squared_error: 1.1111, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6027, f_measure: 0.7832, kb_relative_information_score: -3.8671, mean_absolute_error: 0.2372, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.725, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.9811, scimark_benchmark: 1320.8688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5628, f_measure: 0.7679, kappa: 0.0322, kb_relative_information_score: -16.9609, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7555, predictive_accuracy: 0.7822, prior_entropy: 0.623, recall: 0.7822, relative_absolute_error: 1.014, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4129, root_relative_squared_error: 1.1608, scimark_benchmark: 1345.0202, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4329, f_measure: 0.7682, kappa: -0.0521, kb_relative_information_score: -7.6284, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7212, predictive_accuracy: 0.8218, prior_entropy: 0.623, recall: 0.8218, relative_absolute_error: 1.0226, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3841, root_relative_squared_error: 1.0798, scimark_benchmark: 1348.2804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6329, f_measure: 0.7998, kappa: 0.1154, kb_relative_information_score: -5.978, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7845, predictive_accuracy: 0.8317, prior_entropy: 0.623, recall: 0.8317, relative_absolute_error: 0.8798, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.9855, scimark_benchmark: 1351.1238, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7341, f_measure: 0.8305, kappa: 0.2439, kb_relative_information_score: 8.9046, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8342, predictive_accuracy: 0.8614, prior_entropy: 0.623, recall: 0.8614, relative_absolute_error: 0.7862, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.33, root_relative_squared_error: 0.9279, scimark_benchmark: 1332.6143, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6027, f_measure: 0.7832, kb_relative_information_score: -3.8671, mean_absolute_error: 0.2372, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.725, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.9811, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4329, f_measure: 0.7682, kappa: -0.0521, kb_relative_information_score: -8.3999, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7212, predictive_accuracy: 0.8218, prior_entropy: 0.623, recall: 0.8218, relative_absolute_error: 1.0206, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.393, root_relative_squared_error: 1.105, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6329, f_measure: 0.7998, kappa: 0.1154, kb_relative_information_score: -5.978, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7845, predictive_accuracy: 0.8317, prior_entropy: 0.623, recall: 0.8317, relative_absolute_error: 0.8798, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.9855, scimark_benchmark: 942.9708, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4329, f_measure: 0.7682, kappa: -0.0521, kb_relative_information_score: -8.3999, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7212, predictive_accuracy: 0.8218, prior_entropy: 0.623, recall: 0.8218, relative_absolute_error: 1.0206, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.393, root_relative_squared_error: 1.105, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4329, f_measure: 0.7682, kappa: -0.0521, kb_relative_information_score: -8.3999, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7212, predictive_accuracy: 0.8218, prior_entropy: 0.623, recall: 0.8218, relative_absolute_error: 1.0206, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.393, root_relative_squared_error: 1.105, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4329, f_measure: 0.7682, kappa: -0.0521, kb_relative_information_score: -8.5212, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7212, predictive_accuracy: 0.8218, prior_entropy: 0.623, recall: 0.8218, relative_absolute_error: 1.0225, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3952, root_relative_squared_error: 1.1111, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5628, f_measure: 0.7679, kappa: 0.0322, kb_relative_information_score: -16.9609, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7555, predictive_accuracy: 0.7822, prior_entropy: 0.623, recall: 0.7822, relative_absolute_error: 1.014, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4129, root_relative_squared_error: 1.1608, scimark_benchmark: 1354.3488, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4329, f_measure: 0.7682, kappa: -0.0521, kb_relative_information_score: -8.3999, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7212, predictive_accuracy: 0.8218, prior_entropy: 0.623, recall: 0.8218, relative_absolute_error: 1.0206, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.393, root_relative_squared_error: 1.105, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4329, f_measure: 0.7682, kappa: -0.0521, kb_relative_information_score: -8.3999, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7212, predictive_accuracy: 0.8218, prior_entropy: 0.623, recall: 0.8218, relative_absolute_error: 1.0206, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.393, root_relative_squared_error: 1.105, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7341, f_measure: 0.8305, kappa: 0.2439, kb_relative_information_score: 8.9046, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8342, predictive_accuracy: 0.8614, prior_entropy: 0.623, recall: 0.8614, relative_absolute_error: 0.7862, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.33, root_relative_squared_error: 0.9279, scimark_benchmark: 1313.11, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4329, f_measure: 0.7682, kappa: -0.0521, kb_relative_information_score: -8.3999, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7212, predictive_accuracy: 0.8218, prior_entropy: 0.623, recall: 0.8218, relative_absolute_error: 1.0206, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.393, root_relative_squared_error: 1.105, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4329, f_measure: 0.7682, kappa: -0.0521, kb_relative_information_score: -8.3999, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7212, predictive_accuracy: 0.8218, prior_entropy: 0.623, recall: 0.8218, relative_absolute_error: 1.0206, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.393, root_relative_squared_error: 1.105, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4329, f_measure: 0.7682, kappa: -0.0521, kb_relative_information_score: -8.3999, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7212, predictive_accuracy: 0.8218, prior_entropy: 0.623, recall: 0.8218, relative_absolute_error: 1.0206, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.393, root_relative_squared_error: 1.105, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4329, f_measure: 0.7682, kappa: -0.0521, kb_relative_information_score: -8.3999, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7212, predictive_accuracy: 0.8218, prior_entropy: 0.623, recall: 0.8218, relative_absolute_error: 1.0206, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.393, root_relative_squared_error: 1.105, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5628, f_measure: 0.7679, kappa: 0.0322, kb_relative_information_score: -16.9609, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7555, predictive_accuracy: 0.7822, prior_entropy: 0.623, recall: 0.7822, relative_absolute_error: 1.014, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4129, root_relative_squared_error: 1.1608, scimark_benchmark: 1331.7953, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4329, f_measure: 0.7682, kappa: -0.0521, kb_relative_information_score: -8.3999, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7212, predictive_accuracy: 0.8218, prior_entropy: 0.623, recall: 0.8218, relative_absolute_error: 1.0206, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.393, root_relative_squared_error: 1.105, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4329, f_measure: 0.7682, kappa: -0.0521, kb_relative_information_score: -8.5212, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7212, predictive_accuracy: 0.8218, prior_entropy: 0.623, recall: 0.8218, relative_absolute_error: 1.0225, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3952, root_relative_squared_error: 1.1111, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6027, f_measure: 0.7832, kb_relative_information_score: -3.8671, mean_absolute_error: 0.2372, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.725, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.9811, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4329, f_measure: 0.7682, kappa: -0.0521, kb_relative_information_score: -8.3999, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7212, predictive_accuracy: 0.8218, prior_entropy: 0.623, recall: 0.8218, relative_absolute_error: 1.0206, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.393, root_relative_squared_error: 1.105, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.507, f_measure: 0.7869, kappa: 0.0787, kb_relative_information_score: -7.1306, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7696, predictive_accuracy: 0.8119, prior_entropy: 0.623, recall: 0.8119, relative_absolute_error: 0.9619, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4006, root_relative_squared_error: 1.1263, scimark_benchmark: 1309.4998, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6329, f_measure: 0.7998, kappa: 0.1154, kb_relative_information_score: -5.978, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7845, predictive_accuracy: 0.8317, prior_entropy: 0.623, recall: 0.8317, relative_absolute_error: 0.8798, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.9855, scimark_benchmark: 1353.0836, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4329, f_measure: 0.7682, kappa: -0.0521, kb_relative_information_score: -8.3999, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7212, predictive_accuracy: 0.8218, prior_entropy: 0.623, recall: 0.8218, relative_absolute_error: 1.0206, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.393, root_relative_squared_error: 1.105, scimark_benchmark: 1353.0836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4329, f_measure: 0.7682, kappa: -0.0521, kb_relative_information_score: -8.3999, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7212, predictive_accuracy: 0.8218, prior_entropy: 0.623, recall: 0.8218, relative_absolute_error: 1.0206, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.393, root_relative_squared_error: 1.105, scimark_benchmark: 1353.0836, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4329, f_measure: 0.7682, kappa: -0.0521, kb_relative_information_score: -8.3999, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7212, predictive_accuracy: 0.8218, prior_entropy: 0.623, recall: 0.8218, relative_absolute_error: 1.0206, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.393, root_relative_squared_error: 1.105, scimark_benchmark: 1342.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4329, f_measure: 0.7682, kappa: -0.0521, kb_relative_information_score: -7.6284, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7212, predictive_accuracy: 0.8218, prior_entropy: 0.623, recall: 0.8218, relative_absolute_error: 1.0226, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3841, root_relative_squared_error: 1.0798, scimark_benchmark: 1340.5125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4329, f_measure: 0.7682, kappa: -0.0521, kb_relative_information_score: -8.3999, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7212, predictive_accuracy: 0.8218, prior_entropy: 0.623, recall: 0.8218, relative_absolute_error: 1.0206, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.393, root_relative_squared_error: 1.105, scimark_benchmark: 1338.5214,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6027, f_measure: 0.7832, kb_relative_information_score: -3.8671, mean_absolute_error: 0.2372, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.725, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.9811, scimark_benchmark: 1306.9281, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4329, f_measure: 0.7682, kappa: -0.0521, kb_relative_information_score: -8.3999, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7212, predictive_accuracy: 0.8218, prior_entropy: 0.623, recall: 0.8218, relative_absolute_error: 1.0206, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.393, root_relative_squared_error: 1.105, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4329, f_measure: 0.7682, kappa: -0.0521, kb_relative_information_score: -8.5212, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7212, predictive_accuracy: 0.8218, prior_entropy: 0.623, recall: 0.8218, relative_absolute_error: 1.0225, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3952, root_relative_squared_error: 1.1111, scimark_benchmark: 1306.9281,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, f_measure: 0.8266, kappa: 0.2076, kb_relative_information_score: 37.1606, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8882, predictive_accuracy: 0.8713, prior_entropy: 0.623, recall: 0.8713, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3588, root_relative_squared_error: 1.0087, usercpu_time_millis: 0.141, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5434, f_measure: 0.7998, kappa: 0.1154, kb_relative_information_score: 18.3493, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7845, predictive_accuracy: 0.8317, prior_entropy: 0.623, recall: 0.8317, relative_absolute_error: 0.6531, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4103, root_relative_squared_error: 1.1535, usercpu_time_millis: 4.836, usercpu_time_millis_testing: 1.167, usercpu_time_millis_training: 3.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7832, kb_relative_information_score: 27.755, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.725, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3854, root_relative_squared_error: 1.0835, usercpu_time_millis: 0.202, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4826, f_measure: 0.7682, kappa: -0.0521, kb_relative_information_score: 13.6465, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7212, predictive_accuracy: 0.8218, prior_entropy: 0.623, recall: 0.8218, relative_absolute_error: 0.6915, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4222, root_relative_squared_error: 1.1869, usercpu_time_millis: 60.05, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 59.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5535, f_measure: 0.789, kappa: 0.1202, kb_relative_information_score: 4.2409, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7785, predictive_accuracy: 0.802, prior_entropy: 0.623, recall: 0.802, relative_absolute_error: 0.7684, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.445, root_relative_squared_error: 1.2511, usercpu_time_millis: 0.362, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5926, f_measure: 0.8101, kappa: 0.2082, kb_relative_information_score: 13.6465, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8014, predictive_accuracy: 0.8218, prior_entropy: 0.623, recall: 0.8218, relative_absolute_error: 0.6915, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4222, root_relative_squared_error: 1.1869, usercpu_time_millis: 3.015, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 2.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5275, f_measure: 0.7999, kappa: 0.0857, kb_relative_information_score: 27.755, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8053, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3854, root_relative_squared_error: 1.0835, usercpu_time_millis: 17.879, usercpu_time_millis_testing: 3.568, usercpu_time_millis_training: 14.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, f_measure: 0.8266, kappa: 0.2076, kb_relative_information_score: 37.1606, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8882, predictive_accuracy: 0.8713, prior_entropy: 0.623, recall: 0.8713, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3588, root_relative_squared_error: 1.0087, usercpu_time_millis: 1.199, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 0.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6461, f_measure: 0.789, kappa: 0.245, kb_relative_information_score: -9.8675, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8125, predictive_accuracy: 0.7723, prior_entropy: 0.623, recall: 0.7723, relative_absolute_error: 0.8836, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4772, root_relative_squared_error: 1.3417, usercpu_time_millis: 0.702, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5376, f_measure: 0.7933, kappa: 0.0964, kb_relative_information_score: 13.6465, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7762, predictive_accuracy: 0.8218, prior_entropy: 0.623, recall: 0.8218, relative_absolute_error: 0.6915, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4222, root_relative_squared_error: 1.1869, usercpu_time_millis: 0.669, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7832, kb_relative_information_score: 27.755, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.725, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3854, root_relative_squared_error: 1.0835, usercpu_time_millis: 0.511, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 0.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6318, f_measure: 0.8312, kappa: 0.2962, kb_relative_information_score: 23.0522, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8244, predictive_accuracy: 0.8416, prior_entropy: 0.623, recall: 0.8416, relative_absolute_error: 0.6147, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.398, root_relative_squared_error: 1.119, usercpu_time_millis: 2.343, usercpu_time_millis_testing: 0.979, usercpu_time_millis_training: 1.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6217, f_measure: 0.8469, kappa: 0.3235, kb_relative_information_score: 37.1606, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8519, predictive_accuracy: 0.8713, prior_entropy: 0.623, recall: 0.8713, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3588, root_relative_squared_error: 1.0087, usercpu_time_millis: 1.036, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 0.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5043, f_measure: 0.7762, kappa: 0.0113, kb_relative_information_score: 8.9437, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7508, predictive_accuracy: 0.8119, prior_entropy: 0.623, recall: 0.8119, relative_absolute_error: 0.73, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4337, root_relative_squared_error: 1.2194, usercpu_time_millis: 2.466, usercpu_time_millis_testing: 1.015, usercpu_time_millis_training: 1.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.481, f_measure: 0.7527, kappa: -0.044, kb_relative_information_score: -9.8675, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7353, predictive_accuracy: 0.7723, prior_entropy: 0.623, recall: 0.7723, relative_absolute_error: 0.8836, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4772, root_relative_squared_error: 1.3417, usercpu_time_millis: 2.128, usercpu_time_millis_testing: 0.841, usercpu_time_millis_training: 1.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7832, kb_relative_information_score: 27.755, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.725, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3854, root_relative_squared_error: 1.0835, usercpu_time_millis: 0.388, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 0.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, f_measure: 0.8266, kappa: 0.2076, kb_relative_information_score: 37.1606, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8882, predictive_accuracy: 0.8713, prior_entropy: 0.623, recall: 0.8713, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3588, root_relative_squared_error: 1.0087, usercpu_time_millis: 1.789, usercpu_time_millis_testing: 0.813, usercpu_time_millis_training: 0.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, f_measure: 0.8523, kappa: 0.3841, kb_relative_information_score: 32.4578, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8473, predictive_accuracy: 0.8614, prior_entropy: 0.623, recall: 0.8614, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3723, root_relative_squared_error: 1.0468, usercpu_time_millis: 2.377, usercpu_time_millis_testing: 0.967, usercpu_time_millis_training: 1.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6636, f_measure: 0.8113, kappa: 0.2947, kb_relative_information_score: 4.2409, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8231, predictive_accuracy: 0.802, prior_entropy: 0.623, recall: 0.802, relative_absolute_error: 0.7684, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.445, root_relative_squared_error: 1.2511, usercpu_time_millis: 6.824, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 6.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5492, f_measure: 0.8063, kappa: 0.1358, kb_relative_information_score: 23.0522, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.7956, predictive_accuracy: 0.8416, prior_entropy: 0.623, recall: 0.8416, relative_absolute_error: 0.6147, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.398, root_relative_squared_error: 1.119, usercpu_time_millis: 1.378, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 1.298,

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