Task
Supervised Classification on cmc

Supervised Classification on cmc

Task 253 Supervised Classification cmc 299 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.47, kappa: 0.179, kb_relative_information_score: 93.9252, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4967, predictive_accuracy: 0.465, prior_entropy: 1.5392, recall: 0.465, relative_absolute_error: 0.8685, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.9854, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.5666, kappa: 0.331, kb_relative_information_score: 117.6272, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5782, predictive_accuracy: 0.5617, prior_entropy: 1.5392, recall: 0.5617, relative_absolute_error: 0.8295, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.9175, scimark_benchmark: 851.2074, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6629, f_measure: 0.5627, kappa: 0.3204, kb_relative_information_score: 180.4974, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5651, predictive_accuracy: 0.5741, prior_entropy: 1.5392, recall: 0.5741, relative_absolute_error: 0.6616, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.5329, root_relative_squared_error: 1.1525, scimark_benchmark: 941.6675, usercpu_time_millis: 1050, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.4906, kappa: 0.2214, kb_relative_information_score: 99.8549, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5308, predictive_accuracy: 0.4794, prior_entropy: 1.5392, recall: 0.4794, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9566, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.4906, kappa: 0.2214, kb_relative_information_score: 99.8549, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5308, predictive_accuracy: 0.4794, prior_entropy: 1.5392, recall: 0.4794, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9566, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.4906, kappa: 0.2214, kb_relative_information_score: 99.8549, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5308, predictive_accuracy: 0.4794, prior_entropy: 1.5392, recall: 0.4794, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9566, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.5423, kappa: 0.2893, kb_relative_information_score: 106.93, mean_absolute_error: 0.3644, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5425, predictive_accuracy: 0.5432, prior_entropy: 1.5392, recall: 0.5432, relative_absolute_error: 0.849, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4412, root_relative_squared_error: 0.9543, scimark_benchmark: 941.6675, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.4906, kappa: 0.2214, kb_relative_information_score: 99.8549, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5308, predictive_accuracy: 0.4794, prior_entropy: 1.5392, recall: 0.4794, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9566, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.668, f_measure: 0.5148, kappa: 0.2414, kb_relative_information_score: 107.3319, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5164, predictive_accuracy: 0.5144, prior_entropy: 1.5392, recall: 0.5144, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9969, scimark_benchmark: 931.771, usercpu_time_millis: 580, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6629, f_measure: 0.5627, kappa: 0.3204, kb_relative_information_score: 180.4974, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5651, predictive_accuracy: 0.5741, prior_entropy: 1.5392, recall: 0.5741, relative_absolute_error: 0.6616, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.5329, root_relative_squared_error: 1.1525, scimark_benchmark: 937.5117, usercpu_time_millis: 1020, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, f_measure: 0.4994, kappa: 0.2361, kb_relative_information_score: 106.3845, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.539, predictive_accuracy: 0.4877, prior_entropy: 1.5392, recall: 0.4877, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9847, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.4906, kappa: 0.2214, kb_relative_information_score: 99.8549, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5308, predictive_accuracy: 0.4794, prior_entropy: 1.5392, recall: 0.4794, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9566, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6891, f_measure: 0.4994, kappa: 0.2361, kb_relative_information_score: 105.3674, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.539, predictive_accuracy: 0.4877, prior_entropy: 1.5392, recall: 0.4877, relative_absolute_error: 0.8584, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9839, scimark_benchmark: 938.5498, usercpu_time_millis: 1050, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.668, f_measure: 0.5148, kappa: 0.2414, kb_relative_information_score: 107.3319, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5164, predictive_accuracy: 0.5144, prior_entropy: 1.5392, recall: 0.5144, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9969, scimark_benchmark: 943.1009, usercpu_time_millis: 520, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.47, kappa: 0.179, kb_relative_information_score: 93.9252, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4967, predictive_accuracy: 0.465, prior_entropy: 1.5392, recall: 0.465, relative_absolute_error: 0.8685, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.9854, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.5666, kappa: 0.331, kb_relative_information_score: 117.6272, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5782, predictive_accuracy: 0.5617, prior_entropy: 1.5392, recall: 0.5617, relative_absolute_error: 0.8295, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.9175, scimark_benchmark: 608.4057, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6629, f_measure: 0.5627, kappa: 0.3204, kb_relative_information_score: 180.4974, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5651, predictive_accuracy: 0.5741, prior_entropy: 1.5392, recall: 0.5741, relative_absolute_error: 0.6616, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.5329, root_relative_squared_error: 1.1525, scimark_benchmark: 730.6551, usercpu_time_millis: 1190, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.4906, kappa: 0.2214, kb_relative_information_score: 99.8549, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5308, predictive_accuracy: 0.4794, prior_entropy: 1.5392, recall: 0.4794, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9566, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.4906, kappa: 0.2214, kb_relative_information_score: 99.8549, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5308, predictive_accuracy: 0.4794, prior_entropy: 1.5392, recall: 0.4794, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9566, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.4906, kappa: 0.2214, kb_relative_information_score: 99.8549, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5308, predictive_accuracy: 0.4794, prior_entropy: 1.5392, recall: 0.4794, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9566, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.5423, kappa: 0.2893, kb_relative_information_score: 106.93, mean_absolute_error: 0.3644, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5425, predictive_accuracy: 0.5432, prior_entropy: 1.5392, recall: 0.5432, relative_absolute_error: 0.849, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4412, root_relative_squared_error: 0.9543, scimark_benchmark: 933.3455, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.4906, kappa: 0.2214, kb_relative_information_score: 99.8549, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5308, predictive_accuracy: 0.4794, prior_entropy: 1.5392, recall: 0.4794, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9566, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6891, f_measure: 0.4994, kappa: 0.2361, kb_relative_information_score: 105.3674, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.539, predictive_accuracy: 0.4877, prior_entropy: 1.5392, recall: 0.4877, relative_absolute_error: 0.8584, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9839, scimark_benchmark: 932.438, usercpu_time_millis: 1220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.668, f_measure: 0.5148, kappa: 0.2414, kb_relative_information_score: 107.3319, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5164, predictive_accuracy: 0.5144, prior_entropy: 1.5392, recall: 0.5144, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9969, scimark_benchmark: 936.9595, usercpu_time_millis: 450, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7143, f_measure: 0.5415, kappa: 0.2848, kb_relative_information_score: 111.3035, mean_absolute_error: 0.3597, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5403, predictive_accuracy: 0.5432, prior_entropy: 1.5392, recall: 0.5432, relative_absolute_error: 0.838, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.942, scimark_benchmark: 763.3895, usercpu_time_millis: 25580, usercpu_time_millis_testing: 7090, usercpu_time_millis_training: 18490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.5424, kappa: 0.2873, kb_relative_information_score: 112.4641, mean_absolute_error: 0.3593, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5421, predictive_accuracy: 0.5432, prior_entropy: 1.5392, recall: 0.5432, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.9374, scimark_benchmark: 938.4601, usercpu_time_millis: 8230, usercpu_time_millis_testing: 1020, usercpu_time_millis_training: 7210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, f_measure: 0.5379, kappa: 0.2799, kb_relative_information_score: 115.0138, mean_absolute_error: 0.3574, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5371, predictive_accuracy: 0.5391, prior_entropy: 1.5392, recall: 0.5391, relative_absolute_error: 0.8328, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.9426, scimark_benchmark: 917.2109, usercpu_time_millis: 4020, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 3570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.5364, kappa: 0.2758, kb_relative_information_score: 106.5335, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.536, predictive_accuracy: 0.537, prior_entropy: 1.5392, recall: 0.537, relative_absolute_error: 0.8493, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.9532, scimark_benchmark: 911.2316, usercpu_time_millis: 2230, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 1880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7006, f_measure: 0.5378, kappa: 0.2793, kb_relative_information_score: 112.0295, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5368, predictive_accuracy: 0.5391, prior_entropy: 1.5392, recall: 0.5391, relative_absolute_error: 0.8359, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.9588, scimark_benchmark: 936.7184, usercpu_time_millis: 1190, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 1050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.265, kb_relative_information_score: 0.7717, mean_absolute_error: 0.4301, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.1903, predictive_accuracy: 0.4362, prior_entropy: 1.5392, recall: 0.4362, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4625, root_relative_squared_error: 1.0003, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5544, f_measure: 0.265, kb_relative_information_score: 29.2982, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.1903, predictive_accuracy: 0.4362, prior_entropy: 1.5392, recall: 0.4362, relative_absolute_error: 0.9543, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9774, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5544, f_measure: 0.265, kb_relative_information_score: 29.2982, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.1903, predictive_accuracy: 0.4362, prior_entropy: 1.5392, recall: 0.4362, relative_absolute_error: 0.9543, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9774, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5544, f_measure: 0.265, kb_relative_information_score: 29.2982, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.1903, predictive_accuracy: 0.4362, prior_entropy: 1.5392, recall: 0.4362, relative_absolute_error: 0.9543, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9774, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5544, f_measure: 0.265, kb_relative_information_score: 29.2982, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.1903, predictive_accuracy: 0.4362, prior_entropy: 1.5392, recall: 0.4362, relative_absolute_error: 0.9543, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9774, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5544, f_measure: 0.265, kb_relative_information_score: 29.2982, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.1903, predictive_accuracy: 0.4362, prior_entropy: 1.5392, recall: 0.4362, relative_absolute_error: 0.9543, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9774, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.265, kb_relative_information_score: 76.126, mean_absolute_error: 0.3759, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.1903, predictive_accuracy: 0.4362, prior_entropy: 1.5392, recall: 0.4362, relative_absolute_error: 0.8757, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.6131, root_relative_squared_error: 1.326, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6699, f_measure: 0.4973, kappa: 0.2179, kb_relative_information_score: 79.0049, mean_absolute_error: 0.3862, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4992, predictive_accuracy: 0.4959, prior_entropy: 1.5392, recall: 0.4959, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.446, root_relative_squared_error: 0.9647, scimark_benchmark: 899.1108, usercpu_time_millis: 2100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2080,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.4906, kappa: 0.2214, kb_relative_information_score: 99.8549, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5308, predictive_accuracy: 0.4794, prior_entropy: 1.5392, recall: 0.4794, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9566, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.4906, kappa: 0.2214, kb_relative_information_score: 99.8549, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5308, predictive_accuracy: 0.4794, prior_entropy: 1.5392, recall: 0.4794, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9566, scimark_benchmark: 1309.2287, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.4906, kappa: 0.2214, kb_relative_information_score: 99.8549, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5308, predictive_accuracy: 0.4794, prior_entropy: 1.5392, recall: 0.4794, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9566, scimark_benchmark: 1327.3335, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.5423, kappa: 0.2893, kb_relative_information_score: 106.93, mean_absolute_error: 0.3644, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5425, predictive_accuracy: 0.5432, prior_entropy: 1.5392, recall: 0.5432, relative_absolute_error: 0.849, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4412, root_relative_squared_error: 0.9543, scimark_benchmark: 1317.5857, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.4906, kappa: 0.2214, kb_relative_information_score: 99.8549, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5308, predictive_accuracy: 0.4794, prior_entropy: 1.5392, recall: 0.4794, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9566, scimark_benchmark: 1318.4315, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6891, f_measure: 0.4994, kappa: 0.2361, kb_relative_information_score: 105.3674, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.539, predictive_accuracy: 0.4877, prior_entropy: 1.5392, recall: 0.4877, relative_absolute_error: 0.8584, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9839, scimark_benchmark: 1350.8432, usercpu_time_millis: 1070, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.668, f_measure: 0.5148, kappa: 0.2414, kb_relative_information_score: 107.3319, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5164, predictive_accuracy: 0.5144, prior_entropy: 1.5392, recall: 0.5144, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9969, scimark_benchmark: 1310.6554, usercpu_time_millis: 420, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6564, f_measure: 0.4921, kappa: 0.2263, kb_relative_information_score: 127.3525, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5026, predictive_accuracy: 0.4918, prior_entropy: 1.5392, recall: 0.4918, relative_absolute_error: 0.7977, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4959, root_relative_squared_error: 1.0726, scimark_benchmark: 1306.5596, usercpu_time_millis: 450, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.5666, kappa: 0.331, kb_relative_information_score: 117.6272, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5782, predictive_accuracy: 0.5617, prior_entropy: 1.5392, recall: 0.5617, relative_absolute_error: 0.8295, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.9175, scimark_benchmark: 1253.0071, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.4906, kappa: 0.2214, kb_relative_information_score: 99.8549, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5308, predictive_accuracy: 0.4794, prior_entropy: 1.5392, recall: 0.4794, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9566, scimark_benchmark: 1330.2425, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.4906, kappa: 0.2214, kb_relative_information_score: 99.8549, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5308, predictive_accuracy: 0.4794, prior_entropy: 1.5392, recall: 0.4794, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9566, scimark_benchmark: 1343.7262, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.4906, kappa: 0.2214, kb_relative_information_score: 99.8549, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5308, predictive_accuracy: 0.4794, prior_entropy: 1.5392, recall: 0.4794, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9566, scimark_benchmark: 1365.0842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6891, f_measure: 0.4994, kappa: 0.2361, kb_relative_information_score: 105.3674, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.539, predictive_accuracy: 0.4877, prior_entropy: 1.5392, recall: 0.4877, relative_absolute_error: 0.8584, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9839, scimark_benchmark: 1296.9979, usercpu_time_millis: 1280, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.47, kappa: 0.179, kb_relative_information_score: 93.9252, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4967, predictive_accuracy: 0.465, prior_entropy: 1.5392, recall: 0.465, relative_absolute_error: 0.8685, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.9854, scimark_benchmark: 1316.6741, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.668, f_measure: 0.5148, kappa: 0.2414, kb_relative_information_score: 107.3319, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5164, predictive_accuracy: 0.5144, prior_entropy: 1.5392, recall: 0.5144, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9969, scimark_benchmark: 1267.7714, usercpu_time_millis: 490, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6953, f_measure: 0.4988, kappa: 0.2295, kb_relative_information_score: 95.9237, mean_absolute_error: 0.3733, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5291, predictive_accuracy: 0.4897, prior_entropy: 1.5392, recall: 0.4897, relative_absolute_error: 0.8697, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.953, scimark_benchmark: 1352.06, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6629, f_measure: 0.5627, kappa: 0.3204, kb_relative_information_score: 180.4974, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5651, predictive_accuracy: 0.5741, prior_entropy: 1.5392, recall: 0.5741, relative_absolute_error: 0.6616, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.5329, root_relative_squared_error: 1.1525, scimark_benchmark: 1352.06, usercpu_time_millis: 780, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.4906, kappa: 0.2214, kb_relative_information_score: 99.8549, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5308, predictive_accuracy: 0.4794, prior_entropy: 1.5392, recall: 0.4794, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9566, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.4906, kappa: 0.2214, kb_relative_information_score: 99.8549, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5308, predictive_accuracy: 0.4794, prior_entropy: 1.5392, recall: 0.4794, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9566, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.668, f_measure: 0.5148, kappa: 0.2414, kb_relative_information_score: 107.3319, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5164, predictive_accuracy: 0.5144, prior_entropy: 1.5392, recall: 0.5144, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9969, scimark_benchmark: 1322.7257, usercpu_time_millis: 420, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.47, kappa: 0.179, kb_relative_information_score: 93.9252, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.4967, predictive_accuracy: 0.465, prior_entropy: 1.5392, recall: 0.465, relative_absolute_error: 0.8685, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.9854, scimark_benchmark: 1384.4422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.4906, kappa: 0.2214, kb_relative_information_score: 99.8549, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5308, predictive_accuracy: 0.4794, prior_entropy: 1.5392, recall: 0.4794, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9566, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, f_measure: 0.4994, kappa: 0.2361, kb_relative_information_score: 106.3845, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.539, predictive_accuracy: 0.4877, prior_entropy: 1.5392, recall: 0.4877, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9847, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.4906, kappa: 0.2214, kb_relative_information_score: 99.8549, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5308, predictive_accuracy: 0.4794, prior_entropy: 1.5392, recall: 0.4794, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9566, scimark_benchmark: 1288.1375, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.4906, kappa: 0.2214, kb_relative_information_score: 99.8549, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4292, number_of_instances: 486, precision: 0.5308, predictive_accuracy: 0.4794, prior_entropy: 1.5392, recall: 0.4794, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.4624, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9566, scimark_benchmark: 1347.917,

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