OpenML
Supervised Classification on fri_c3_1000_10

Supervised Classification on fri_c3_1000_10

Task 3606 Supervised Classification fri_c3_1000_10 393 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.8302, kappa: 0.6545, kb_relative_information_score: 644.0668, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.831, predictive_accuracy: 0.831, prior_entropy: 0.9896, recall: 0.831, relative_absolute_error: 0.3583, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.7249, scimark_benchmark: 940.0055, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.7956, kappa: 0.5877, kb_relative_information_score: 543.9379, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.7984, predictive_accuracy: 0.795, prior_entropy: 0.9896, recall: 0.795, relative_absolute_error: 0.4626, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8216, scimark_benchmark: 935.6052, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.7413, kappa: 0.4742, kb_relative_information_score: 435.2649, mean_absolute_error: 0.2808, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.7412, predictive_accuracy: 0.742, prior_entropy: 0.9896, recall: 0.742, relative_absolute_error: 0.5697, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.91, scimark_benchmark: 935.6052, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: 101.4695, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9896, recall: 0.56, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.8799, kappa: 0.7563, kb_relative_information_score: 740.9454, mean_absolute_error: 0.1298, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9896, recall: 0.88, relative_absolute_error: 0.2635, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6552, scimark_benchmark: 942.6192, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.8887, kappa: 0.7737, kb_relative_information_score: 476.0697, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8891, predictive_accuracy: 0.889, prior_entropy: 0.9896, recall: 0.889, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6655, scimark_benchmark: 923.7471, usercpu_time_millis: 2310, usercpu_time_millis_training: 2310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.7118, kappa: 0.4131, kb_relative_information_score: 180.3564, mean_absolute_error: 0.4195, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.7126, predictive_accuracy: 0.714, prior_entropy: 0.9896, recall: 0.714, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.8899, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8692, kappa: 0.7353, kb_relative_information_score: 648.5145, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.87, predictive_accuracy: 0.869, prior_entropy: 0.9896, recall: 0.869, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6363, scimark_benchmark: 899.1108, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.8495, kappa: 0.694, kb_relative_information_score: 508.7027, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8499, predictive_accuracy: 0.85, prior_entropy: 0.9896, recall: 0.85, relative_absolute_error: 0.5316, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3283, root_relative_squared_error: 0.6614, scimark_benchmark: 930.0565, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.8599, kappa: 0.7156, kb_relative_information_score: 610.3625, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8599, predictive_accuracy: 0.86, prior_entropy: 0.9896, recall: 0.86, relative_absolute_error: 0.4149, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.6302, scimark_benchmark: 906.0884, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.8156, kappa: 0.6278, kb_relative_information_score: 622.1844, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8181, predictive_accuracy: 0.815, prior_entropy: 0.9896, recall: 0.815, relative_absolute_error: 0.3754, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8665, scimark_benchmark: 928.8135, usercpu_time_millis: 260, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8241, kappa: 0.6432, kb_relative_information_score: 578.3706, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8242, predictive_accuracy: 0.824, prior_entropy: 0.9896, recall: 0.824, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.6812, scimark_benchmark: 922.5036, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8463, kappa: 0.6873, kb_relative_information_score: 605.6232, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8471, predictive_accuracy: 0.847, prior_entropy: 0.9896, recall: 0.847, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.6477, scimark_benchmark: 938.838, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.8877, kappa: 0.7717, kb_relative_information_score: 660.851, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.888, predictive_accuracy: 0.888, prior_entropy: 0.9896, recall: 0.888, relative_absolute_error: 0.3642, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.5734, scimark_benchmark: 935.627, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.7338, kappa: 0.4594, kb_relative_information_score: 259.7098, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.7336, predictive_accuracy: 0.734, prior_entropy: 0.9896, recall: 0.734, relative_absolute_error: 0.769, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.8638, scimark_benchmark: 942.3809, usercpu_time_millis: 12580, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 12450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8463, kappa: 0.6873, kb_relative_information_score: 605.6232, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8471, predictive_accuracy: 0.847, prior_entropy: 0.9896, recall: 0.847, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.6477, scimark_benchmark: 952.4682, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8649, kappa: 0.7259, kb_relative_information_score: 651.0394, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8649, predictive_accuracy: 0.865, prior_entropy: 0.9896, recall: 0.865, relative_absolute_error: 0.3656, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.6545, scimark_benchmark: 928.8135, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9118, kappa: 0.8208, kb_relative_information_score: 677.061, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.912, predictive_accuracy: 0.912, prior_entropy: 0.9896, recall: 0.912, relative_absolute_error: 0.3529, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.5363, scimark_benchmark: 949.7766, usercpu_time_millis: 370, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8692, kappa: 0.7353, kb_relative_information_score: 648.5145, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.87, predictive_accuracy: 0.869, prior_entropy: 0.9896, recall: 0.869, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6363, scimark_benchmark: 901.8743, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8692, kappa: 0.7353, kb_relative_information_score: 648.5145, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.87, predictive_accuracy: 0.869, prior_entropy: 0.9896, recall: 0.869, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6363, scimark_benchmark: 946.9304, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.8156, kappa: 0.6278, kb_relative_information_score: 622.1844, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8181, predictive_accuracy: 0.815, prior_entropy: 0.9896, recall: 0.815, relative_absolute_error: 0.3754, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8665, scimark_benchmark: 1325.8468, usercpu_time_millis: 250, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8241, kappa: 0.6432, kb_relative_information_score: 578.3706, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8242, predictive_accuracy: 0.824, prior_entropy: 0.9896, recall: 0.824, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.6812, scimark_benchmark: 1295.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8463, kappa: 0.6873, kb_relative_information_score: 605.6232, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8471, predictive_accuracy: 0.847, prior_entropy: 0.9896, recall: 0.847, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.6477, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8463, kappa: 0.6873, kb_relative_information_score: 605.6232, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8471, predictive_accuracy: 0.847, prior_entropy: 0.9896, recall: 0.847, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.6477, scimark_benchmark: 1322.5413, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9118, kappa: 0.8208, kb_relative_information_score: 677.061, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.912, predictive_accuracy: 0.912, prior_entropy: 0.9896, recall: 0.912, relative_absolute_error: 0.3529, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.5363, scimark_benchmark: 1322.5413, usercpu_time_millis: 330, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8463, kappa: 0.6873, kb_relative_information_score: 605.6232, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8471, predictive_accuracy: 0.847, prior_entropy: 0.9896, recall: 0.847, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.6477, scimark_benchmark: 1309.4998, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9118, kappa: 0.8208, kb_relative_information_score: 677.061, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.912, predictive_accuracy: 0.912, prior_entropy: 0.9896, recall: 0.912, relative_absolute_error: 0.3529, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.5363, scimark_benchmark: 1353.0836, usercpu_time_millis: 360, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8692, kappa: 0.7353, kb_relative_information_score: 648.5145, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.87, predictive_accuracy: 0.869, prior_entropy: 0.9896, recall: 0.869, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6363, scimark_benchmark: 1340.9446, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8241, kappa: 0.6432, kb_relative_information_score: 578.3706, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8242, predictive_accuracy: 0.824, prior_entropy: 0.9896, recall: 0.824, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.6812, scimark_benchmark: 929.0363, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8463, kappa: 0.6873, kb_relative_information_score: 605.6232, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8471, predictive_accuracy: 0.847, prior_entropy: 0.9896, recall: 0.847, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.6477, scimark_benchmark: 1286.2211, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.8877, kappa: 0.7717, kb_relative_information_score: 660.851, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.888, predictive_accuracy: 0.888, prior_entropy: 0.9896, recall: 0.888, relative_absolute_error: 0.3642, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.5734, scimark_benchmark: 1349.1517, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9118, kappa: 0.8208, kb_relative_information_score: 677.061, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.912, predictive_accuracy: 0.912, prior_entropy: 0.9896, recall: 0.912, relative_absolute_error: 0.3529, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.5363, scimark_benchmark: 1331.7953, usercpu_time_millis: 350, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8241, kappa: 0.6432, kb_relative_information_score: 578.3706, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8242, predictive_accuracy: 0.824, prior_entropy: 0.9896, recall: 0.824, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.6812, scimark_benchmark: 1346.2927, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8463, kappa: 0.6873, kb_relative_information_score: 605.6232, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8471, predictive_accuracy: 0.847, prior_entropy: 0.9896, recall: 0.847, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.6477, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8463, kappa: 0.6873, kb_relative_information_score: 605.6232, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8471, predictive_accuracy: 0.847, prior_entropy: 0.9896, recall: 0.847, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.6477, scimark_benchmark: 1333.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.8877, kappa: 0.7717, kb_relative_information_score: 660.851, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.888, predictive_accuracy: 0.888, prior_entropy: 0.9896, recall: 0.888, relative_absolute_error: 0.3642, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.5734, scimark_benchmark: 1337.8124, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.8877, kappa: 0.7717, kb_relative_information_score: 660.851, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.888, predictive_accuracy: 0.888, prior_entropy: 0.9896, recall: 0.888, relative_absolute_error: 0.3642, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.5734, scimark_benchmark: 1317.5857, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8463, kappa: 0.6873, kb_relative_information_score: 605.6232, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8471, predictive_accuracy: 0.847, prior_entropy: 0.9896, recall: 0.847, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.6477, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8463, kappa: 0.6873, kb_relative_information_score: 605.6232, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8471, predictive_accuracy: 0.847, prior_entropy: 0.9896, recall: 0.847, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.6477, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8692, kappa: 0.7353, kb_relative_information_score: 648.5145, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.87, predictive_accuracy: 0.869, prior_entropy: 0.9896, recall: 0.869, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6363, scimark_benchmark: 1355.2525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.8495, kappa: 0.694, kb_relative_information_score: 508.7027, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8499, predictive_accuracy: 0.85, prior_entropy: 0.9896, recall: 0.85, relative_absolute_error: 0.5316, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3283, root_relative_squared_error: 0.6614, scimark_benchmark: 1328.941, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.872, kappa: 0.7403, kb_relative_information_score: 711.9972, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.872, predictive_accuracy: 0.872, prior_entropy: 0.9896, recall: 0.872, relative_absolute_error: 0.2964, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.6775, scimark_benchmark: 1350.073, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8692, kappa: 0.7353, kb_relative_information_score: 648.5145, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.87, predictive_accuracy: 0.869, prior_entropy: 0.9896, recall: 0.869, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6363, scimark_benchmark: 1350.2369, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.8599, kappa: 0.7156, kb_relative_information_score: 610.3625, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8599, predictive_accuracy: 0.86, prior_entropy: 0.9896, recall: 0.86, relative_absolute_error: 0.4149, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.6302, scimark_benchmark: 1320.9026, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.8599, kappa: 0.7156, kb_relative_information_score: 610.3625, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8599, predictive_accuracy: 0.86, prior_entropy: 0.9896, recall: 0.86, relative_absolute_error: 0.4149, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.6302, scimark_benchmark: 916.5769, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.8495, kappa: 0.694, kb_relative_information_score: 508.7027, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8499, predictive_accuracy: 0.85, prior_entropy: 0.9896, recall: 0.85, relative_absolute_error: 0.5316, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3283, root_relative_squared_error: 0.6614, scimark_benchmark: 1360.2771, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.8927, kappa: 0.7819, kb_relative_information_score: 761.9018, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8931, predictive_accuracy: 0.893, prior_entropy: 0.9896, recall: 0.893, relative_absolute_error: 0.2381, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.5951, scimark_benchmark: 1325.3444, usercpu_time_millis: 510, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8692, kappa: 0.7353, kb_relative_information_score: 648.5145, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.87, predictive_accuracy: 0.869, prior_entropy: 0.9896, recall: 0.869, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6363, scimark_benchmark: 1151.3336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8241, kappa: 0.6432, kb_relative_information_score: 578.3706, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8242, predictive_accuracy: 0.824, prior_entropy: 0.9896, recall: 0.824, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.6812, scimark_benchmark: 833.3193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.8538, kappa: 0.7032, kb_relative_information_score: 620.3221, mean_absolute_error: 0.197, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8538, predictive_accuracy: 0.854, prior_entropy: 0.9896, recall: 0.854, relative_absolute_error: 0.3998, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6345, scimark_benchmark: 833.3193, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8692, kappa: 0.7353, kb_relative_information_score: 648.5145, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.87, predictive_accuracy: 0.869, prior_entropy: 0.9896, recall: 0.869, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6363, scimark_benchmark: 1330.2021, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.6753, kappa: 0.3393, kb_relative_information_score: 169.1709, mean_absolute_error: 0.4195, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6751, predictive_accuracy: 0.677, prior_entropy: 0.9896, recall: 0.677, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9275, scimark_benchmark: 1316.6866, usercpu_time_millis: 550, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.8599, kappa: 0.7156, kb_relative_information_score: 610.3625, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8599, predictive_accuracy: 0.86, prior_entropy: 0.9896, recall: 0.86, relative_absolute_error: 0.4149, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.6302, scimark_benchmark: 1308.3432, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8803, kappa: 0.7563, kb_relative_information_score: 445.724, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8821, predictive_accuracy: 0.881, prior_entropy: 0.9896, recall: 0.881, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.6787, scimark_benchmark: 1348.8637, usercpu_time_millis: 450, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9039, kappa: 0.8047, kb_relative_information_score: 746.011, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.9039, predictive_accuracy: 0.904, prior_entropy: 0.9896, recall: 0.904, relative_absolute_error: 0.266, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.541, scimark_benchmark: 1327.3602, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8692, kappa: 0.7353, kb_relative_information_score: 648.5145, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.87, predictive_accuracy: 0.869, prior_entropy: 0.9896, recall: 0.869, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6363, scimark_benchmark: 1346.4887, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6613, f_measure: 0.6684, kappa: 0.3251, kb_relative_information_score: 326.0916, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6681, predictive_accuracy: 0.67, prior_entropy: 0.9896, recall: 0.67, relative_absolute_error: 0.6696, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1573, scimark_benchmark: 1311.9814, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8154, f_measure: 0.7052, kappa: 0.4021, kb_relative_information_score: 226.5685, mean_absolute_error: 0.397, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.7054, predictive_accuracy: 0.705, prior_entropy: 0.9896, recall: 0.705, relative_absolute_error: 0.8055, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.895, scimark_benchmark: 925.4974, usercpu_time_millis: 4300, usercpu_time_millis_testing: 4300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.7551, kappa: 0.5032, kb_relative_information_score: 481.9799, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.7552, predictive_accuracy: 0.755, prior_entropy: 0.9896, recall: 0.755, relative_absolute_error: 0.5191, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.8961, scimark_benchmark: 1288.1375, usercpu_time_millis: 29870, usercpu_time_millis_testing: 29870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.722, f_measure: 0.726, kappa: 0.444, kb_relative_information_score: 439.7135, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.726, predictive_accuracy: 0.726, prior_entropy: 0.9896, recall: 0.726, relative_absolute_error: 0.557, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5229, root_relative_squared_error: 1.0534, scimark_benchmark: 1305.7138, usercpu_time_millis: 90, usercpu_time_millis_testing: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.722, f_measure: 0.726, kappa: 0.444, kb_relative_information_score: 440.4447, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.726, predictive_accuracy: 0.726, prior_entropy: 0.9896, recall: 0.726, relative_absolute_error: 0.556, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5235, root_relative_squared_error: 1.0545, scimark_benchmark: 1296.8947, usercpu_time_millis: 190, usercpu_time_millis_testing: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5247, f_measure: 0.3553, kappa: 0.0469, kb_relative_information_score: -7.4956, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6363, predictive_accuracy: 0.473, prior_entropy: 0.9896, recall: 0.473, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0078, scimark_benchmark: 765.566,

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