Task
Supervised Classification on meta_batchincremental.arff

Supervised Classification on meta_batchincremental.arff

Task 2273 Supervised Classification meta_batchincremental.arff 370 runs submitted
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  • study_1 study_107 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4327, f_measure: 0.5465, kappa: -0.0091, kb_relative_information_score: 0.6267, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4931, predictive_accuracy: 0.6351, prior_entropy: 1.3842, recall: 0.6351, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3729, root_relative_squared_error: 1.0641, scimark_benchmark: 1309.4998, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.5386, kappa: -0.0288, kb_relative_information_score: -0.6466, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4847, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 1.0049, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3851, root_relative_squared_error: 1.099, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.5386, kappa: -0.0288, kb_relative_information_score: -0.254, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4847, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3842, root_relative_squared_error: 1.0965, scimark_benchmark: 1339.2472, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.5386, kappa: -0.0288, kb_relative_information_score: -0.254, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4847, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3842, root_relative_squared_error: 1.0965, scimark_benchmark: 1336.0954, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.5386, kappa: -0.0288, kb_relative_information_score: -0.6466, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4847, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 1.0049, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3851, root_relative_squared_error: 1.099, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4914, f_measure: 0.5383, kappa: -0.0221, kb_relative_information_score: 15.9116, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4535, predictive_accuracy: 0.6622, prior_entropy: 1.3842, recall: 0.6622, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.411, root_relative_squared_error: 1.1729, scimark_benchmark: 1286.2211, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.5386, kappa: -0.0288, kb_relative_information_score: -0.254, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4847, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3842, root_relative_squared_error: 1.0965, scimark_benchmark: 1338.5214, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.5386, kappa: -0.0288, kb_relative_information_score: -0.6466, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4847, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 1.0049, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3851, root_relative_squared_error: 1.099, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.5386, kappa: -0.0288, kb_relative_information_score: -0.254, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4847, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3842, root_relative_squared_error: 1.0965, scimark_benchmark: 1375.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.5386, kappa: -0.0288, kb_relative_information_score: -0.254, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4847, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3842, root_relative_squared_error: 1.0965, scimark_benchmark: 1375.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.5386, kappa: -0.0288, kb_relative_information_score: -0.254, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4847, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3842, root_relative_squared_error: 1.0965, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.6322, kappa: 0.2207, kb_relative_information_score: 9.0238, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5914, predictive_accuracy: 0.6892, prior_entropy: 1.3842, recall: 0.6892, relative_absolute_error: 0.8839, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.9542, scimark_benchmark: 1337.8124, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.5386, kappa: -0.0288, kb_relative_information_score: -0.6466, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4847, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 1.0049, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3851, root_relative_squared_error: 1.099, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.6322, kappa: 0.2207, kb_relative_information_score: 9.0238, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5914, predictive_accuracy: 0.6892, prior_entropy: 1.3842, recall: 0.6892, relative_absolute_error: 0.8839, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.9542, scimark_benchmark: 1306.9281, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.5386, kappa: -0.0288, kb_relative_information_score: -0.6466, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4847, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 1.0049, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3851, root_relative_squared_error: 1.099, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.5386, kappa: -0.0288, kb_relative_information_score: -0.254, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4847, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3842, root_relative_squared_error: 1.0965, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.5386, kappa: -0.0288, kb_relative_information_score: -0.254, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4847, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3842, root_relative_squared_error: 1.0965, scimark_benchmark: 1306.8702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.5386, kappa: -0.0288, kb_relative_information_score: -0.6466, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4847, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 1.0049, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3851, root_relative_squared_error: 1.099, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.5386, kappa: -0.0288, kb_relative_information_score: -0.6466, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4847, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 1.0049, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3851, root_relative_squared_error: 1.099, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.5386, kappa: -0.0288, kb_relative_information_score: -0.254, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4847, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3842, root_relative_squared_error: 1.0965, scimark_benchmark: 1327.3335, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.6322, kappa: 0.2207, kb_relative_information_score: 9.0238, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5914, predictive_accuracy: 0.6892, prior_entropy: 1.3842, recall: 0.6892, relative_absolute_error: 0.8839, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.9542, scimark_benchmark: 1327.3335, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.5386, kappa: -0.0288, kb_relative_information_score: -0.254, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4847, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3842, root_relative_squared_error: 1.0965, scimark_benchmark: 1332.7986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6004, f_measure: 0.6092, kappa: 0.1785, kb_relative_information_score: 8.4427, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5874, predictive_accuracy: 0.6351, prior_entropy: 1.3842, recall: 0.6351, relative_absolute_error: 0.8547, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.385, root_relative_squared_error: 1.0988, scimark_benchmark: 1306.5596, usercpu_time_millis: 1030, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5152, f_measure: 0.4929, kappa: 0.0186, kb_relative_information_score: -6.4292, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5375, predictive_accuracy: 0.4595, prior_entropy: 1.3842, recall: 0.4595, relative_absolute_error: 1.0729, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.5199, root_relative_squared_error: 1.4836, scimark_benchmark: 1319.688, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5839, f_measure: 0.5419, kappa: 0.0323, kb_relative_information_score: 4.0795, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5205, predictive_accuracy: 0.5676, prior_entropy: 1.3842, recall: 0.5676, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.431, root_relative_squared_error: 1.23, scimark_benchmark: 1345.7919, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6726, f_measure: 0.5457, kappa: 0.0361, kb_relative_information_score: 5.5868, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5148, predictive_accuracy: 0.5811, prior_entropy: 1.3842, recall: 0.5811, relative_absolute_error: 0.9048, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3648, root_relative_squared_error: 1.0409, scimark_benchmark: 1337.4384, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4914, f_measure: 0.5383, kappa: -0.0221, kb_relative_information_score: 15.9116, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4535, predictive_accuracy: 0.6622, prior_entropy: 1.3842, recall: 0.6622, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.411, root_relative_squared_error: 1.1729, scimark_benchmark: 1292.1745, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.5386, kappa: -0.0288, kb_relative_information_score: -0.254, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4847, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3842, root_relative_squared_error: 1.0965, scimark_benchmark: 1489.4622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.5386, kappa: -0.0288, kb_relative_information_score: -0.254, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4847, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3842, root_relative_squared_error: 1.0965, scimark_benchmark: 1303.5632, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4327, f_measure: 0.5465, kappa: -0.0091, kb_relative_information_score: 0.6267, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4931, predictive_accuracy: 0.6351, prior_entropy: 1.3842, recall: 0.6351, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3729, root_relative_squared_error: 1.0641, scimark_benchmark: 1371.174, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5839, f_measure: 0.5419, kappa: 0.0323, kb_relative_information_score: 4.0795, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5205, predictive_accuracy: 0.5676, prior_entropy: 1.3842, recall: 0.5676, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.431, root_relative_squared_error: 1.23, scimark_benchmark: 1364.991, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.5386, kappa: -0.0288, kb_relative_information_score: -0.254, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4847, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3842, root_relative_squared_error: 1.0965, scimark_benchmark: 1337.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.5386, kappa: -0.0288, kb_relative_information_score: -0.254, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4847, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3842, root_relative_squared_error: 1.0965, scimark_benchmark: 1373.7859, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6004, f_measure: 0.6092, kappa: 0.1785, kb_relative_information_score: 8.4427, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5874, predictive_accuracy: 0.6351, prior_entropy: 1.3842, recall: 0.6351, relative_absolute_error: 0.8547, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.385, root_relative_squared_error: 1.0988, scimark_benchmark: 1348.2804, usercpu_time_millis: 950, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.735, f_measure: 0.5929, kappa: 0.1286, kb_relative_information_score: 10.2059, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5553, predictive_accuracy: 0.6486, prior_entropy: 1.3842, recall: 0.6486, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.9597, scimark_benchmark: 1360.6367, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4914, f_measure: 0.5383, kappa: -0.0221, kb_relative_information_score: 15.9116, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4535, predictive_accuracy: 0.6622, prior_entropy: 1.3842, recall: 0.6622, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.411, root_relative_squared_error: 1.1729, scimark_benchmark: 1317.5857, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.5386, kappa: -0.0288, kb_relative_information_score: -0.6466, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4847, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 1.0049, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3851, root_relative_squared_error: 1.099, scimark_benchmark: 1354.3488,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.735, f_measure: 0.5929, kappa: 0.1286, kb_relative_information_score: 10.2059, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5553, predictive_accuracy: 0.6486, prior_entropy: 1.3842, recall: 0.6486, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.9597, scimark_benchmark: 1347.993, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4413, f_measure: 0.5465, kappa: -0.0091, kb_relative_information_score: -1.4354, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4931, predictive_accuracy: 0.6351, prior_entropy: 1.3842, recall: 0.6351, relative_absolute_error: 1.0213, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3666, root_relative_squared_error: 1.0462, scimark_benchmark: 1334.8272, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4357, f_measure: 0.5189, kappa: -0.0606, kb_relative_information_score: -1.8788, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4721, predictive_accuracy: 0.5811, prior_entropy: 1.3842, recall: 0.5811, relative_absolute_error: 1.0229, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4071, root_relative_squared_error: 1.1616, scimark_benchmark: 1326.6647, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, f_measure: 0.5811, kappa: 0.1478, kb_relative_information_score: 8.3939, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5811, predictive_accuracy: 0.5811, prior_entropy: 1.3842, recall: 0.5811, relative_absolute_error: 0.8315, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4577, root_relative_squared_error: 1.306, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5308, f_measure: 0.5868, kappa: 0.143, kb_relative_information_score: 8.0963, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5671, predictive_accuracy: 0.6081, prior_entropy: 1.3842, recall: 0.6081, relative_absolute_error: 0.8495, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4279, root_relative_squared_error: 1.2211, scimark_benchmark: 1327.9952, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5839, f_measure: 0.5419, kappa: 0.0323, kb_relative_information_score: 4.0795, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5205, predictive_accuracy: 0.5676, prior_entropy: 1.3842, recall: 0.5676, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.431, root_relative_squared_error: 1.23, scimark_benchmark: 1307.8775, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7357, f_measure: 0.6437, kappa: 0.2433, kb_relative_information_score: 20.5528, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.6356, predictive_accuracy: 0.6757, prior_entropy: 1.3842, recall: 0.6757, relative_absolute_error: 0.6496, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3579, root_relative_squared_error: 1.0213, scimark_benchmark: 1298.6659, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7363, f_measure: 0.6576, kappa: 0.2673, kb_relative_information_score: 19.9315, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.673, predictive_accuracy: 0.6892, prior_entropy: 1.3842, recall: 0.6892, relative_absolute_error: 0.6749, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.9928, scimark_benchmark: 1300.0105, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.5501, kappa: 0.0079, kb_relative_information_score: 7.5859, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4948, predictive_accuracy: 0.6351, prior_entropy: 1.3842, recall: 0.6351, relative_absolute_error: 0.8905, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.9665, scimark_benchmark: 1331.0755, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.5719, kappa: 0.0605, kb_relative_information_score: 7.1055, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.525, predictive_accuracy: 0.6486, prior_entropy: 1.3842, recall: 0.6486, relative_absolute_error: 0.9011, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.9692, scimark_benchmark: 1344.1146, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.6322, kappa: 0.2207, kb_relative_information_score: 9.0238, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5914, predictive_accuracy: 0.6892, prior_entropy: 1.3842, recall: 0.6892, relative_absolute_error: 0.8839, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.9542, scimark_benchmark: 1349.7981, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.5386, kappa: -0.0288, kb_relative_information_score: -0.6466, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4847, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 1.0049, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3851, root_relative_squared_error: 1.099, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.578, f_measure: 0.5502, kappa: 0.0289, kb_relative_information_score: 5.0244, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5128, predictive_accuracy: 0.5946, prior_entropy: 1.3842, recall: 0.5946, relative_absolute_error: 0.9005, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3831, root_relative_squared_error: 1.0934, scimark_benchmark: 925.4974, usercpu_time_millis: 200, usercpu_time_millis_testing: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.414, f_measure: 0.5449, kb_relative_information_score: -0.4257, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4565, predictive_accuracy: 0.6757, prior_entropy: 1.3842, recall: 0.6757, relative_absolute_error: 1.0052, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3515, root_relative_squared_error: 1.0031, scimark_benchmark: 1321.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4702, f_measure: 0.5216, kappa: 0.0382, kb_relative_information_score: -24.4065, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5209, predictive_accuracy: 0.527, prior_entropy: 1.3842, recall: 0.527, relative_absolute_error: 1.431, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4193, root_relative_squared_error: 1.1965, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5795, f_measure: 0.5622, kappa: 0.0324, kb_relative_information_score: 6.5955, mean_absolute_error: 0.2218, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5174, predictive_accuracy: 0.6622, prior_entropy: 1.3842, recall: 0.6622, relative_absolute_error: 0.8805, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3579, root_relative_squared_error: 1.0213, scimark_benchmark: 925.4974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.414, f_measure: 0.5449, kb_relative_information_score: -0.4257, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4565, predictive_accuracy: 0.6757, prior_entropy: 1.3842, recall: 0.6757, relative_absolute_error: 1.0052, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3515, root_relative_squared_error: 1.0031, scimark_benchmark: 912.5006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6012, f_measure: 0.5543, kappa: 0.0113, kb_relative_information_score: 2.4387, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5035, predictive_accuracy: 0.6486, prior_entropy: 1.3842, recall: 0.6486, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.9946, scimark_benchmark: 1363.454, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7275, f_measure: 0.6528, kappa: 0.2612, kb_relative_information_score: 20.3596, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.6723, predictive_accuracy: 0.6757, prior_entropy: 1.3842, recall: 0.6757, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3739, root_relative_squared_error: 1.067, scimark_benchmark: 1369.9744, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.5422, kappa: -0.0117, kb_relative_information_score: 8.7718, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4877, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 0.8716, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3345, root_relative_squared_error: 0.9547, scimark_benchmark: 1315.395, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.432, f_measure: 0.5474, kappa: -0.0035, kb_relative_information_score: 0.5741, mean_absolute_error: 0.2492, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5003, predictive_accuracy: 0.6351, prior_entropy: 1.3842, recall: 0.6351, relative_absolute_error: 0.9893, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3762, root_relative_squared_error: 1.0737, scimark_benchmark: 1336.2509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5837, f_measure: 0.5719, kappa: 0.0605, kb_relative_information_score: -5.8111, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.525, predictive_accuracy: 0.6486, prior_entropy: 1.3842, recall: 0.6486, relative_absolute_error: 1.1464, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3646, root_relative_squared_error: 1.0405, scimark_benchmark: 915.9693, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5837, f_measure: 0.5719, kappa: 0.0605, kb_relative_information_score: -5.8111, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.525, predictive_accuracy: 0.6486, prior_entropy: 1.3842, recall: 0.6486, relative_absolute_error: 1.1464, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3646, root_relative_squared_error: 1.0405, scimark_benchmark: 1307.4861, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5837, f_measure: 0.5719, kappa: 0.0605, kb_relative_information_score: -5.8111, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.525, predictive_accuracy: 0.6486, prior_entropy: 1.3842, recall: 0.6486, relative_absolute_error: 1.1464, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3646, root_relative_squared_error: 1.0405, scimark_benchmark: 1442.7264,

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