OpenML
Supervised Classification on pc3

Supervised Classification on pc3

Task 3903 Supervised Classification pc3 143129 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.763, f_measure: 0.756, kappa: 0.2051, kb_relative_information_score: -1867.8047, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8815, predictive_accuracy: 0.6974, prior_entropy: 0.478, recall: 0.6974, relative_absolute_error: 1.6268, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.5382, root_relative_squared_error: 1.7755, scimark_benchmark: 1313.11, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.8296, kappa: 0.254, kb_relative_information_score: -1003.7962, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8709, predictive_accuracy: 0.8029, prior_entropy: 0.478, recall: 0.8029, relative_absolute_error: 1.1112, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3687, root_relative_squared_error: 1.2165, scimark_benchmark: 1374.9737, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.8296, kappa: 0.254, kb_relative_information_score: -1003.7962, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8709, predictive_accuracy: 0.8029, prior_entropy: 0.478, recall: 0.8029, relative_absolute_error: 1.1112, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3687, root_relative_squared_error: 1.2165, scimark_benchmark: 1324.6442, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.8296, kappa: 0.254, kb_relative_information_score: -1003.7962, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8709, predictive_accuracy: 0.8029, prior_entropy: 0.478, recall: 0.8029, relative_absolute_error: 1.1112, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3687, root_relative_squared_error: 1.2165, scimark_benchmark: 1309.0674, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.763, f_measure: 0.756, kappa: 0.2051, kb_relative_information_score: -1867.8047, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8815, predictive_accuracy: 0.6974, prior_entropy: 0.478, recall: 0.6974, relative_absolute_error: 1.6268, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.5382, root_relative_squared_error: 1.7755, scimark_benchmark: 1338.5214, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, f_measure: 0.8501, kappa: 0.0085, kb_relative_information_score: -1437.0287, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8403, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 1.1648, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3042, root_relative_squared_error: 1.0034, scimark_benchmark: 1064.8317, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.8608, kappa: 0.097, kb_relative_information_score: -225.7359, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8597, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.8326, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.9282, scimark_benchmark: 1324.7884, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.8296, kappa: 0.254, kb_relative_information_score: -1003.7962, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8709, predictive_accuracy: 0.8029, prior_entropy: 0.478, recall: 0.8029, relative_absolute_error: 1.1112, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3687, root_relative_squared_error: 1.2165, scimark_benchmark: 1324.8408, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.8296, kappa: 0.254, kb_relative_information_score: -1003.7962, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8709, predictive_accuracy: 0.8029, prior_entropy: 0.478, recall: 0.8029, relative_absolute_error: 1.1112, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3687, root_relative_squared_error: 1.2165, scimark_benchmark: 1325.8468, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.8296, kappa: 0.254, kb_relative_information_score: -1003.7962, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8709, predictive_accuracy: 0.8029, prior_entropy: 0.478, recall: 0.8029, relative_absolute_error: 1.1112, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3687, root_relative_squared_error: 1.2165, scimark_benchmark: 930.5999, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.8296, kappa: 0.254, kb_relative_information_score: -1003.7962, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8709, predictive_accuracy: 0.8029, prior_entropy: 0.478, recall: 0.8029, relative_absolute_error: 1.1112, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3687, root_relative_squared_error: 1.2165, scimark_benchmark: 1324.7884, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.8296, kappa: 0.254, kb_relative_information_score: -1003.7962, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8709, predictive_accuracy: 0.8029, prior_entropy: 0.478, recall: 0.8029, relative_absolute_error: 1.1112, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3687, root_relative_squared_error: 1.2165, scimark_benchmark: 1375.1578, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.763, f_measure: 0.756, kappa: 0.2051, kb_relative_information_score: -1867.8047, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8815, predictive_accuracy: 0.6974, prior_entropy: 0.478, recall: 0.6974, relative_absolute_error: 1.6268, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.5382, root_relative_squared_error: 1.7755, scimark_benchmark: 1333.202, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.8296, kappa: 0.254, kb_relative_information_score: -1003.7962, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8709, predictive_accuracy: 0.8029, prior_entropy: 0.478, recall: 0.8029, relative_absolute_error: 1.1112, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3687, root_relative_squared_error: 1.2165, scimark_benchmark: 1286.2211, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.8296, kappa: 0.254, kb_relative_information_score: -1003.7962, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8709, predictive_accuracy: 0.8029, prior_entropy: 0.478, recall: 0.8029, relative_absolute_error: 1.1112, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3687, root_relative_squared_error: 1.2165, scimark_benchmark: 1331.2559, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.8296, kappa: 0.254, kb_relative_information_score: -1003.7962, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8709, predictive_accuracy: 0.8029, prior_entropy: 0.478, recall: 0.8029, relative_absolute_error: 1.1112, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3687, root_relative_squared_error: 1.2165, scimark_benchmark: 1331.2559, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.763, f_measure: 0.756, kappa: 0.2051, kb_relative_information_score: -1867.8047, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8815, predictive_accuracy: 0.6974, prior_entropy: 0.478, recall: 0.6974, relative_absolute_error: 1.6268, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.5382, root_relative_squared_error: 1.7755, scimark_benchmark: 1362.9924, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.543, f_measure: 0.8689, kappa: 0.1431, kb_relative_information_score: 493.5315, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.9025, predictive_accuracy: 0.9053, prior_entropy: 0.478, recall: 0.9053, relative_absolute_error: 0.5141, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3077, root_relative_squared_error: 1.0151, scimark_benchmark: 1346.2927, usercpu_time_millis: 3300, usercpu_time_millis_testing: 1800, usercpu_time_millis_training: 1500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.8296, kappa: 0.254, kb_relative_information_score: -1003.7962, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8709, predictive_accuracy: 0.8029, prior_entropy: 0.478, recall: 0.8029, relative_absolute_error: 1.1112, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3687, root_relative_squared_error: 1.2165, scimark_benchmark: 1362.9924, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.8296, kappa: 0.254, kb_relative_information_score: -1003.7962, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8709, predictive_accuracy: 0.8029, prior_entropy: 0.478, recall: 0.8029, relative_absolute_error: 1.1112, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3687, root_relative_squared_error: 1.2165, scimark_benchmark: 1362.9924, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.8296, kappa: 0.254, kb_relative_information_score: -1003.7962, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8709, predictive_accuracy: 0.8029, prior_entropy: 0.478, recall: 0.8029, relative_absolute_error: 1.1112, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3687, root_relative_squared_error: 1.2165, scimark_benchmark: 1340.9446, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.8296, kappa: 0.254, kb_relative_information_score: -1003.7962, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8709, predictive_accuracy: 0.8029, prior_entropy: 0.478, recall: 0.8029, relative_absolute_error: 1.1112, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3687, root_relative_squared_error: 1.2165, scimark_benchmark: 1346.2927, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.763, f_measure: 0.756, kappa: 0.2051, kb_relative_information_score: -1867.8047, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8815, predictive_accuracy: 0.6974, prior_entropy: 0.478, recall: 0.6974, relative_absolute_error: 1.6268, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.5382, root_relative_squared_error: 1.7755, scimark_benchmark: 1324.7884, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, f_measure: 0.8501, kappa: 0.0085, kb_relative_information_score: -1437.0287, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8403, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 1.1648, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3042, root_relative_squared_error: 1.0034, scimark_benchmark: 1346.2927, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.8828, kappa: 0.2612, kb_relative_information_score: -181.1348, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8859, predictive_accuracy: 0.906, prior_entropy: 0.478, recall: 0.906, relative_absolute_error: 0.7979, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.8887, scimark_benchmark: 1318.6467, usercpu_time_millis: 820, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.8296, kappa: 0.254, kb_relative_information_score: -1003.7962, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8709, predictive_accuracy: 0.8029, prior_entropy: 0.478, recall: 0.8029, relative_absolute_error: 1.1112, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3687, root_relative_squared_error: 1.2165, scimark_benchmark: 926.6704, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.8296, kappa: 0.254, kb_relative_information_score: -1003.7962, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8709, predictive_accuracy: 0.8029, prior_entropy: 0.478, recall: 0.8029, relative_absolute_error: 1.1112, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3687, root_relative_squared_error: 1.2165, scimark_benchmark: 1335.974, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.763, f_measure: 0.756, kappa: 0.2051, kb_relative_information_score: -1867.8047, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8815, predictive_accuracy: 0.6974, prior_entropy: 0.478, recall: 0.6974, relative_absolute_error: 1.6268, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.5382, root_relative_squared_error: 1.7755, scimark_benchmark: 1335.974, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.763, f_measure: 0.756, kappa: 0.2051, kb_relative_information_score: -1867.8047, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8815, predictive_accuracy: 0.6974, prior_entropy: 0.478, recall: 0.6974, relative_absolute_error: 1.6268, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.5382, root_relative_squared_error: 1.7755, scimark_benchmark: 1346.2927, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.543, f_measure: 0.8689, kappa: 0.1431, kb_relative_information_score: 493.5315, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.9025, predictive_accuracy: 0.9053, prior_entropy: 0.478, recall: 0.9053, relative_absolute_error: 0.5141, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3077, root_relative_squared_error: 1.0151, scimark_benchmark: 1322.0065, usercpu_time_millis: 4810, usercpu_time_millis_testing: 2630, usercpu_time_millis_training: 2180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8492, kb_relative_information_score: 2.1251, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1, scimark_benchmark: 946.9304, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.8828, kappa: 0.2612, kb_relative_information_score: -181.1348, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8859, predictive_accuracy: 0.906, prior_entropy: 0.478, recall: 0.906, relative_absolute_error: 0.7979, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.8887, scimark_benchmark: 946.9304, usercpu_time_millis: 660, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.8633, kappa: 0.1352, kb_relative_information_score: -294.7486, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8537, predictive_accuracy: 0.8912, prior_entropy: 0.478, recall: 0.8912, relative_absolute_error: 0.8611, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.9851, scimark_benchmark: 928.8135, usercpu_time_millis: 2820, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.8296, kappa: 0.254, kb_relative_information_score: -1003.7962, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8709, predictive_accuracy: 0.8029, prior_entropy: 0.478, recall: 0.8029, relative_absolute_error: 1.1112, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3687, root_relative_squared_error: 1.2165, scimark_benchmark: 879.4299, usercpu_time_millis: 90, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.8693, kappa: 0.185, kb_relative_information_score: -131.0629, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8612, predictive_accuracy: 0.8925, prior_entropy: 0.478, recall: 0.8925, relative_absolute_error: 0.8115, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2833, root_relative_squared_error: 0.9346, scimark_benchmark: 946.6409, usercpu_time_millis: 100480, usercpu_time_millis_testing: 820, usercpu_time_millis_training: 99660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.8608, kappa: 0.097, kb_relative_information_score: -225.7359, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8597, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.8326, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.9282, scimark_benchmark: 946.9304, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, f_measure: 0.8501, kappa: 0.0085, kb_relative_information_score: -1437.0287, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8403, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 1.1648, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3042, root_relative_squared_error: 1.0034, scimark_benchmark: 926.4745, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, f_measure: 0.8791, kappa: 0.2545, kb_relative_information_score: -198.298, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.874, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.8394, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2822, root_relative_squared_error: 0.9309, scimark_benchmark: 899.1108, usercpu_time_millis: 13550, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 13540,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8101, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: 380.2375, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.5693, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3154, root_relative_squared_error: 1.0404, scimark_benchmark: 936.1714, usercpu_time_millis: 1910, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1900,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.8608, kappa: 0.097, kb_relative_information_score: -225.7359, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8597, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.8326, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.9282, scimark_benchmark: 930.404, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.8296, kappa: 0.254, kb_relative_information_score: -1003.7962, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8709, predictive_accuracy: 0.8029, prior_entropy: 0.478, recall: 0.8029, relative_absolute_error: 1.1112, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3687, root_relative_squared_error: 1.2165, scimark_benchmark: 933.3455, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.8296, kappa: 0.254, kb_relative_information_score: -1003.7962, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8709, predictive_accuracy: 0.8029, prior_entropy: 0.478, recall: 0.8029, relative_absolute_error: 1.1112, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3687, root_relative_squared_error: 1.2165, scimark_benchmark: 938.1282, usercpu_time_millis: 100, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.8296, kappa: 0.254, kb_relative_information_score: -1003.7962, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8709, predictive_accuracy: 0.8029, prior_entropy: 0.478, recall: 0.8029, relative_absolute_error: 1.1112, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3687, root_relative_squared_error: 1.2165, scimark_benchmark: 930.404, usercpu_time_millis: 100, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.8296, kappa: 0.254, kb_relative_information_score: -1003.7962, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8709, predictive_accuracy: 0.8029, prior_entropy: 0.478, recall: 0.8029, relative_absolute_error: 1.1112, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3687, root_relative_squared_error: 1.2165, scimark_benchmark: 930.404, usercpu_time_millis: 100, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.763, f_measure: 0.756, kappa: 0.2051, kb_relative_information_score: -1867.8047, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8815, predictive_accuracy: 0.6974, prior_entropy: 0.478, recall: 0.6974, relative_absolute_error: 1.6268, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.5382, root_relative_squared_error: 1.7755, scimark_benchmark: 930.404, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.543, f_measure: 0.8689, kappa: 0.1431, kb_relative_information_score: 493.5315, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.9025, predictive_accuracy: 0.9053, prior_entropy: 0.478, recall: 0.9053, relative_absolute_error: 0.5141, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3077, root_relative_squared_error: 1.0151, scimark_benchmark: 730.6551, usercpu_time_millis: 10320, usercpu_time_millis_testing: 4400, usercpu_time_millis_training: 5920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, f_measure: 0.8501, kappa: 0.0085, kb_relative_information_score: -1437.0287, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8403, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 1.1648, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3042, root_relative_squared_error: 1.0034, scimark_benchmark: 901.6243, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8492, kb_relative_information_score: 2.1251, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1, scimark_benchmark: 942.2392, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.8828, kappa: 0.2612, kb_relative_information_score: -181.1348, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8859, predictive_accuracy: 0.906, prior_entropy: 0.478, recall: 0.906, relative_absolute_error: 0.7979, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.8887, scimark_benchmark: 947.1781, usercpu_time_millis: 700, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.8633, kappa: 0.1352, kb_relative_information_score: -294.7486, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8537, predictive_accuracy: 0.8912, prior_entropy: 0.478, recall: 0.8912, relative_absolute_error: 0.8611, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.9851, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.8296, kappa: 0.254, kb_relative_information_score: -1003.7962, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8709, predictive_accuracy: 0.8029, prior_entropy: 0.478, recall: 0.8029, relative_absolute_error: 1.1112, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3687, root_relative_squared_error: 1.2165, scimark_benchmark: 947.1781, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.8296, kappa: 0.254, kb_relative_information_score: -1003.7962, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8709, predictive_accuracy: 0.8029, prior_entropy: 0.478, recall: 0.8029, relative_absolute_error: 1.1112, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3687, root_relative_squared_error: 1.2165, scimark_benchmark: 974.2014, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.763, f_measure: 0.756, kappa: 0.2051, kb_relative_information_score: -1867.8047, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8815, predictive_accuracy: 0.6974, prior_entropy: 0.478, recall: 0.6974, relative_absolute_error: 1.6268, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.5382, root_relative_squared_error: 1.7755, scimark_benchmark: 941.3847, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.543, f_measure: 0.8689, kappa: 0.1431, kb_relative_information_score: 493.5315, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.9025, predictive_accuracy: 0.9053, prior_entropy: 0.478, recall: 0.9053, relative_absolute_error: 0.5141, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3077, root_relative_squared_error: 1.0151, scimark_benchmark: 941.3847, usercpu_time_millis: 3360, usercpu_time_millis_testing: 1520, usercpu_time_millis_training: 1840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.8633, kappa: 0.1352, kb_relative_information_score: -294.7486, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8537, predictive_accuracy: 0.8912, prior_entropy: 0.478, recall: 0.8912, relative_absolute_error: 0.8611, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.9851, scimark_benchmark: 927.2917, usercpu_time_millis: 2460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.8296, kappa: 0.254, kb_relative_information_score: -1003.7962, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8709, predictive_accuracy: 0.8029, prior_entropy: 0.478, recall: 0.8029, relative_absolute_error: 1.1112, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3687, root_relative_squared_error: 1.2165, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.8693, kappa: 0.185, kb_relative_information_score: -131.0629, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8612, predictive_accuracy: 0.8925, prior_entropy: 0.478, recall: 0.8925, relative_absolute_error: 0.8115, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2833, root_relative_squared_error: 0.9346, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.8608, kappa: 0.097, kb_relative_information_score: -225.7359, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8597, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.8326, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.9282, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.8296, kappa: 0.254, kb_relative_information_score: -1003.7962, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8709, predictive_accuracy: 0.8029, prior_entropy: 0.478, recall: 0.8029, relative_absolute_error: 1.1112, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3687, root_relative_squared_error: 1.2165, scimark_benchmark: 938.191, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.763, f_measure: 0.756, kappa: 0.2051, kb_relative_information_score: -1867.8047, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8815, predictive_accuracy: 0.6974, prior_entropy: 0.478, recall: 0.6974, relative_absolute_error: 1.6268, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.5382, root_relative_squared_error: 1.7755, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.8592, kappa: 0.1077, kb_relative_information_score: -297.1121, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8468, predictive_accuracy: 0.8887, prior_entropy: 0.478, recall: 0.8887, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.9619, scimark_benchmark: 851.2074, usercpu_time_millis: 770, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, f_measure: 0.8501, kappa: 0.0085, kb_relative_information_score: -1437.0287, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8403, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 1.1648, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3042, root_relative_squared_error: 1.0034, scimark_benchmark: 972.587, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8492, kb_relative_information_score: 2.1251, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8492, kb_relative_information_score: -2.064, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1, scimark_benchmark: 1248.2165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8492, kb_relative_information_score: -2.064, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1, scimark_benchmark: 1241.5236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.763, f_measure: 0.756, kappa: 0.2051, kb_relative_information_score: -1867.8047, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8815, predictive_accuracy: 0.6974, prior_entropy: 0.478, recall: 0.6974, relative_absolute_error: 1.6268, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.5382, root_relative_squared_error: 1.7755, scimark_benchmark: 1230.3004, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.5621, kappa: 0.0888, kb_relative_information_score: -4555.5104, mean_absolute_error: 0.5162, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8771, predictive_accuracy: 0.476, prior_entropy: 0.478, recall: 0.476, relative_absolute_error: 2.8027, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.6825, root_relative_squared_error: 2.2516, scimark_benchmark: 1230.3004, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.1386, kappa: -0.0074, kb_relative_information_score: -7919.9672, mean_absolute_error: 0.8425, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.7795, predictive_accuracy: 0.1568, prior_entropy: 0.478, recall: 0.1568, relative_absolute_error: 4.5743, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.9172, root_relative_squared_error: 3.0258, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.5621, kappa: 0.0888, kb_relative_information_score: -4555.5104, mean_absolute_error: 0.5162, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8771, predictive_accuracy: 0.476, prior_entropy: 0.478, recall: 0.476, relative_absolute_error: 2.8027, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.6825, root_relative_squared_error: 2.2516, scimark_benchmark: 1230.3004, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7238, f_measure: 0.8492, kb_relative_information_score: -392.0089, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.8929, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.9523, scimark_benchmark: 479.2609, usercpu_time_millis: 30, usercpu_time_millis_training: 30,

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