OpenML
Supervised Classification on optdigits

Supervised Classification on optdigits

Task 28 Supervised Classification optdigits 21750 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, f_measure: 0.7841, kappa: 0.7012, kb_relative_information_score: 4039.4218, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.927, predictive_accuracy: 0.731, prior_entropy: 3.3218, recall: 0.731, relative_absolute_error: 0.2989, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.232, root_relative_squared_error: 0.7732, scimark_benchmark: 1313.8988, usercpu_time_millis: 50360, usercpu_time_millis_testing: 26050, usercpu_time_millis_training: 24310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.8935, kappa: 0.8816, kb_relative_information_score: 4864.0233, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8942, predictive_accuracy: 0.8934, prior_entropy: 3.3218, recall: 0.8934, relative_absolute_error: 0.174, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1294, root_relative_squared_error: 0.4312, scimark_benchmark: 1310.3168, usercpu_time_millis: 298520, usercpu_time_millis_testing: 4370, usercpu_time_millis_training: 294150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, f_measure: 0.7841, kappa: 0.7012, kb_relative_information_score: 4039.4218, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.927, predictive_accuracy: 0.731, prior_entropy: 3.3218, recall: 0.731, relative_absolute_error: 0.2989, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.232, root_relative_squared_error: 0.7732, scimark_benchmark: 1327.6635, usercpu_time_millis: 169040, usercpu_time_millis_testing: 44870, usercpu_time_millis_training: 124170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.81, kappa: 0.7894, kb_relative_information_score: 4200.1971, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.811, predictive_accuracy: 0.8105, prior_entropy: 3.3218, recall: 0.8105, relative_absolute_error: 0.3847, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.5684, scimark_benchmark: 1318.6467, usercpu_time_millis: 12800, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 12790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.9112, kappa: 0.9015, kb_relative_information_score: 5075.2919, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9112, predictive_accuracy: 0.9114, prior_entropy: 3.3218, recall: 0.9114, relative_absolute_error: 0.1104, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.4341, scimark_benchmark: 1322.0065, usercpu_time_millis: 850, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9542, kappa: 0.949, kb_relative_information_score: 5350.2573, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9545, predictive_accuracy: 0.9541, prior_entropy: 3.3218, recall: 0.9541, relative_absolute_error: 0.051, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0958, root_relative_squared_error: 0.3194, scimark_benchmark: 1331.0047, usercpu_time_millis: 1510, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9822, kappa: 0.9802, kb_relative_information_score: 5116.1041, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9823, predictive_accuracy: 0.9822, prior_entropy: 3.3218, recall: 0.9822, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.2859, scimark_benchmark: 1310.6554, usercpu_time_millis: 3250, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 2920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.8935, kappa: 0.8816, kb_relative_information_score: 4864.0233, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8942, predictive_accuracy: 0.8934, prior_entropy: 3.3218, recall: 0.8934, relative_absolute_error: 0.174, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1294, root_relative_squared_error: 0.4312, scimark_benchmark: 1333.6736, usercpu_time_millis: 270760, usercpu_time_millis_testing: 4100, usercpu_time_millis_training: 266660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9744, kappa: 0.9715, kb_relative_information_score: 5475.13, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9746, predictive_accuracy: 0.9744, prior_entropy: 3.3218, recall: 0.9744, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.2215, scimark_benchmark: 1317.6232, usercpu_time_millis: 670, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9744, kappa: 0.9715, kb_relative_information_score: 5475.13, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9746, predictive_accuracy: 0.9744, prior_entropy: 3.3218, recall: 0.9744, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.2215, scimark_benchmark: 1313.11, usercpu_time_millis: 680, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9227, kappa: 0.9136, kb_relative_information_score: 5181.4174, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9243, predictive_accuracy: 0.9222, prior_entropy: 3.3218, recall: 0.9222, relative_absolute_error: 0.091, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.3913, scimark_benchmark: 1327.3335, usercpu_time_millis: 390, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, f_measure: 0.7841, kappa: 0.7012, kb_relative_information_score: 4039.4218, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.927, predictive_accuracy: 0.731, prior_entropy: 3.3218, recall: 0.731, relative_absolute_error: 0.2989, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.232, root_relative_squared_error: 0.7732, scimark_benchmark: 1325.8468, usercpu_time_millis: 63720, usercpu_time_millis_testing: 40300, usercpu_time_millis_training: 23420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9744, kappa: 0.9715, kb_relative_information_score: 5475.13, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9746, predictive_accuracy: 0.9744, prior_entropy: 3.3218, recall: 0.9744, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.2215, scimark_benchmark: 1319.4538, usercpu_time_millis: 810, usercpu_time_millis_testing: 650, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9744, kappa: 0.9715, kb_relative_information_score: 5475.13, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9746, predictive_accuracy: 0.9744, prior_entropy: 3.3218, recall: 0.9744, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.2215, scimark_benchmark: 1347.1763, usercpu_time_millis: 680, usercpu_time_millis_testing: 540, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9744, kappa: 0.9715, kb_relative_information_score: 5475.13, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9746, predictive_accuracy: 0.9744, prior_entropy: 3.3218, recall: 0.9744, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.2215, scimark_benchmark: 1319.4538, usercpu_time_millis: 770, usercpu_time_millis_testing: 600, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9744, kappa: 0.9715, kb_relative_information_score: 5475.13, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9746, predictive_accuracy: 0.9744, prior_entropy: 3.3218, recall: 0.9744, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.2215, scimark_benchmark: 1342.8584, usercpu_time_millis: 740, usercpu_time_millis_testing: 560, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9227, kappa: 0.9136, kb_relative_information_score: 5181.4174, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9243, predictive_accuracy: 0.9222, prior_entropy: 3.3218, recall: 0.9222, relative_absolute_error: 0.091, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.3913, scimark_benchmark: 1322.3407, usercpu_time_millis: 350, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9822, kappa: 0.9802, kb_relative_information_score: 5116.1041, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9823, predictive_accuracy: 0.9822, prior_entropy: 3.3218, recall: 0.9822, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.2859, scimark_benchmark: 1316.5668, usercpu_time_millis: 3910, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 3580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9227, kappa: 0.9136, kb_relative_information_score: 5181.4174, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9243, predictive_accuracy: 0.9222, prior_entropy: 3.3218, recall: 0.9222, relative_absolute_error: 0.091, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.3913, scimark_benchmark: 1317.5857, usercpu_time_millis: 360, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.78, kappa: 0.7568, kb_relative_information_score: 4342.5964, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.7796, predictive_accuracy: 0.7811, prior_entropy: 3.3218, recall: 0.7811, relative_absolute_error: 0.2747, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.6398, scimark_benchmark: 1331.4379, usercpu_time_millis: 200, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9744, kappa: 0.9715, kb_relative_information_score: 5475.13, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9746, predictive_accuracy: 0.9744, prior_entropy: 3.3218, recall: 0.9744, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.2215, scimark_benchmark: 1340.9749, usercpu_time_millis: 900, usercpu_time_millis_testing: 690, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9744, kappa: 0.9715, kb_relative_information_score: 5475.13, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9746, predictive_accuracy: 0.9744, prior_entropy: 3.3218, recall: 0.9744, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.2215, scimark_benchmark: 930.5999, usercpu_time_millis: 930, usercpu_time_millis_testing: 730, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9227, kappa: 0.9136, kb_relative_information_score: 5181.4174, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9243, predictive_accuracy: 0.9222, prior_entropy: 3.3218, recall: 0.9222, relative_absolute_error: 0.091, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.3913, scimark_benchmark: 1333.202, usercpu_time_millis: 380, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9744, kappa: 0.9715, kb_relative_information_score: 5475.13, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9746, predictive_accuracy: 0.9744, prior_entropy: 3.3218, recall: 0.9744, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.2215, scimark_benchmark: 1347.6543, usercpu_time_millis: 730, usercpu_time_millis_testing: 590, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9744, kappa: 0.9715, kb_relative_information_score: 5475.13, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9746, predictive_accuracy: 0.9744, prior_entropy: 3.3218, recall: 0.9744, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.2215, scimark_benchmark: 1338.5214, usercpu_time_millis: 950, usercpu_time_millis_testing: 740, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9744, kappa: 0.9715, kb_relative_information_score: 5475.13, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9746, predictive_accuracy: 0.9744, prior_entropy: 3.3218, recall: 0.9744, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.2215, scimark_benchmark: 1303.5632, usercpu_time_millis: 660, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, f_measure: 0.7841, kappa: 0.7012, kb_relative_information_score: 4039.4218, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.927, predictive_accuracy: 0.731, prior_entropy: 3.3218, recall: 0.731, relative_absolute_error: 0.2989, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.232, root_relative_squared_error: 0.7732, scimark_benchmark: 1286.2211, usercpu_time_millis: 54930, usercpu_time_millis_testing: 31000, usercpu_time_millis_training: 23930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9227, kappa: 0.9136, kb_relative_information_score: 5181.4174, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9243, predictive_accuracy: 0.9222, prior_entropy: 3.3218, recall: 0.9222, relative_absolute_error: 0.091, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.3913, scimark_benchmark: 1313.8988, usercpu_time_millis: 350, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.78, kappa: 0.7568, kb_relative_information_score: 4342.5964, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.7796, predictive_accuracy: 0.7811, prior_entropy: 3.3218, recall: 0.7811, relative_absolute_error: 0.2747, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.6398, scimark_benchmark: 1324.9519, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9744, kappa: 0.9715, kb_relative_information_score: 5475.13, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9746, predictive_accuracy: 0.9744, prior_entropy: 3.3218, recall: 0.9744, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.2215, scimark_benchmark: 1353.0836, usercpu_time_millis: 670, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9227, kappa: 0.9136, kb_relative_information_score: 5181.4174, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9243, predictive_accuracy: 0.9222, prior_entropy: 3.3218, recall: 0.9222, relative_absolute_error: 0.091, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.3913, scimark_benchmark: 1342.8632, usercpu_time_millis: 350, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9744, kappa: 0.9715, kb_relative_information_score: 5475.13, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9746, predictive_accuracy: 0.9744, prior_entropy: 3.3218, recall: 0.9744, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.2215, scimark_benchmark: 926.6704, usercpu_time_millis: 1390, usercpu_time_millis_testing: 1020, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9744, kappa: 0.9715, kb_relative_information_score: 5475.13, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9746, predictive_accuracy: 0.9744, prior_entropy: 3.3218, recall: 0.9744, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.2215, scimark_benchmark: 926.6704, usercpu_time_millis: 1010, usercpu_time_millis_testing: 780, usercpu_time_millis_training: 230,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9822, kappa: 0.9802, kb_relative_information_score: 5116.1041, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9823, predictive_accuracy: 0.9822, prior_entropy: 3.3218, recall: 0.9822, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.2859, scimark_benchmark: 942.3809, usercpu_time_millis: 4170, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 3780,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, f_measure: 0.7841, kappa: 0.7012, kb_relative_information_score: 4039.4218, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.927, predictive_accuracy: 0.731, prior_entropy: 3.3218, recall: 0.731, relative_absolute_error: 0.2989, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.232, root_relative_squared_error: 0.7732, scimark_benchmark: 859.5223, usercpu_time_millis: 39390, usercpu_time_millis_testing: 13060, usercpu_time_millis_training: 26330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.81, kappa: 0.7894, kb_relative_information_score: 4200.1971, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.811, predictive_accuracy: 0.8105, prior_entropy: 3.3218, recall: 0.8105, relative_absolute_error: 0.3847, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.5684, scimark_benchmark: 608.4057, usercpu_time_millis: 24400, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 24380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.78, kappa: 0.7568, kb_relative_information_score: 4342.5964, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.7796, predictive_accuracy: 0.7811, prior_entropy: 3.3218, recall: 0.7811, relative_absolute_error: 0.2747, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.6398, scimark_benchmark: 819.5729, usercpu_time_millis: 310, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9822, kappa: 0.9802, kb_relative_information_score: 5116.1041, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9823, predictive_accuracy: 0.9822, prior_entropy: 3.3218, recall: 0.9822, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.2859, scimark_benchmark: 943.1009, usercpu_time_millis: 3890, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 3520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.8935, kappa: 0.8816, kb_relative_information_score: 4864.0233, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8942, predictive_accuracy: 0.8934, prior_entropy: 3.3218, recall: 0.8934, relative_absolute_error: 0.174, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1294, root_relative_squared_error: 0.4312, scimark_benchmark: 938.5498, usercpu_time_millis: 181190, usercpu_time_millis_testing: 1290, usercpu_time_millis_training: 179900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9744, kappa: 0.9715, kb_relative_information_score: 5475.13, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9746, predictive_accuracy: 0.9744, prior_entropy: 3.3218, recall: 0.9744, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.2215, scimark_benchmark: 974.2014, usercpu_time_millis: 1310, usercpu_time_millis_testing: 1010, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, f_measure: 0.7841, kappa: 0.7012, kb_relative_information_score: 4039.4218, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.927, predictive_accuracy: 0.731, prior_entropy: 3.3218, recall: 0.731, relative_absolute_error: 0.2989, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.232, root_relative_squared_error: 0.7732, scimark_benchmark: 932.438, usercpu_time_millis: 42630, usercpu_time_millis_testing: 11760, usercpu_time_millis_training: 30870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9822, kappa: 0.9802, kb_relative_information_score: 5116.1041, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9823, predictive_accuracy: 0.9822, prior_entropy: 3.3218, recall: 0.9822, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.2859, scimark_benchmark: 931.771, usercpu_time_millis: 3380, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 3050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.8935, kappa: 0.8816, kb_relative_information_score: 4864.0233, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8942, predictive_accuracy: 0.8934, prior_entropy: 3.3218, recall: 0.8934, relative_absolute_error: 0.174, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1294, root_relative_squared_error: 0.4312, scimark_benchmark: 927.2917, usercpu_time_millis: 172050, usercpu_time_millis_testing: 1340, usercpu_time_millis_training: 170710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9744, kappa: 0.9715, kb_relative_information_score: 5475.13, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9746, predictive_accuracy: 0.9744, prior_entropy: 3.3218, recall: 0.9744, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.2215, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.941, kappa: 0.9344, kb_relative_information_score: 5083.5353, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9411, predictive_accuracy: 0.9409, prior_entropy: 3.3218, recall: 0.9409, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1014, root_relative_squared_error: 0.3381, scimark_benchmark: 941.6675, usercpu_time_millis: 2220, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9744, kappa: 0.9715, kb_relative_information_score: 5475.13, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9746, predictive_accuracy: 0.9744, prior_entropy: 3.3218, recall: 0.9744, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.2215, scimark_benchmark: 941.6675, usercpu_time_millis: 1090, usercpu_time_millis_testing: 860, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9744, kappa: 0.9715, kb_relative_information_score: 5475.13, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9746, predictive_accuracy: 0.9744, prior_entropy: 3.3218, recall: 0.9744, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.2215, scimark_benchmark: 941.6675, usercpu_time_millis: 1580, usercpu_time_millis_testing: 1340, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9744, kappa: 0.9715, kb_relative_information_score: 5475.13, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9746, predictive_accuracy: 0.9744, prior_entropy: 3.3218, recall: 0.9744, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.2215, scimark_benchmark: 941.6675, usercpu_time_millis: 1380, usercpu_time_millis_testing: 1110, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9227, kappa: 0.9136, kb_relative_information_score: 5181.4174, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9243, predictive_accuracy: 0.9222, prior_entropy: 3.3218, recall: 0.9222, relative_absolute_error: 0.091, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.3913, scimark_benchmark: 941.6675, usercpu_time_millis: 500, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, f_measure: 0.7841, kappa: 0.7012, kb_relative_information_score: 4039.4218, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.927, predictive_accuracy: 0.731, prior_entropy: 3.3218, recall: 0.731, relative_absolute_error: 0.2989, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.232, root_relative_squared_error: 0.7732, scimark_benchmark: 931.771, usercpu_time_millis: 41480, usercpu_time_millis_testing: 16580, usercpu_time_millis_training: 24900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.81, kappa: 0.7894, kb_relative_information_score: 4200.1971, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.811, predictive_accuracy: 0.8105, prior_entropy: 3.3218, recall: 0.8105, relative_absolute_error: 0.3847, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.5684, scimark_benchmark: 851.2074, usercpu_time_millis: 15060, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 15040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.78, kappa: 0.7568, kb_relative_information_score: 4342.5964, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.7796, predictive_accuracy: 0.7811, prior_entropy: 3.3218, recall: 0.7811, relative_absolute_error: 0.2747, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.6398, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.032, kappa: -0.0004, kb_relative_information_score: 0.7676, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0206, predictive_accuracy: 0.1014, prior_entropy: 3.3218, recall: 0.1014, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 1248.2165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.032, kappa: -0.0004, kb_relative_information_score: 0.7676, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0206, predictive_accuracy: 0.1014, prior_entropy: 3.3218, recall: 0.1014, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 1241.5236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9227, kappa: 0.9136, kb_relative_information_score: 5181.4174, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9243, predictive_accuracy: 0.9222, prior_entropy: 3.3218, recall: 0.9222, relative_absolute_error: 0.091, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.3913, scimark_benchmark: 1230.3004, usercpu_time_millis: 380, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9145, kappa: 0.9045, kb_relative_information_score: 5130.2335, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9167, predictive_accuracy: 0.9141, prior_entropy: 3.3218, recall: 0.9141, relative_absolute_error: 0.0971, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.4221, scimark_benchmark: 1230.3004, usercpu_time_millis: 960, usercpu_time_millis_testing: 900, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9077, kappa: 0.8966, kb_relative_information_score: 5085.4803, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.912, predictive_accuracy: 0.9069, prior_entropy: 3.3218, recall: 0.9069, relative_absolute_error: 0.104, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.4438, scimark_benchmark: 1230.3004, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9145, kappa: 0.9045, kb_relative_information_score: 5130.2335, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9167, predictive_accuracy: 0.9141, prior_entropy: 3.3218, recall: 0.9141, relative_absolute_error: 0.0971, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.4221, scimark_benchmark: 1230.3004, usercpu_time_millis: 980, usercpu_time_millis_testing: 930, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.0882, kappa: 0.1083, kb_relative_information_score: 1085.8473, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0578, predictive_accuracy: 0.1975, prior_entropy: 3.3218, recall: 0.1975, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.9684, scimark_benchmark: 479.2609, usercpu_time_millis: 410, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.8657, kappa: 0.849, kb_relative_information_score: 4844.1526, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8827, predictive_accuracy: 0.8641, prior_entropy: 3.3218, recall: 0.8641, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.5319, scimark_benchmark: 473.1656, usercpu_time_millis: 4240, usercpu_time_millis_testing: 1960, usercpu_time_millis_training: 2280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9042, kappa: 0.8936, kb_relative_information_score: 5044.4696, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9043, predictive_accuracy: 0.9043, prior_entropy: 3.3218, recall: 0.9043, relative_absolute_error: 0.1184, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.4452, scimark_benchmark: 473.1656, usercpu_time_millis: 2330, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9421, kappa: 0.9357, kb_relative_information_score: 5281.871, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9421, predictive_accuracy: 0.9422, prior_entropy: 3.3218, recall: 0.9422, relative_absolute_error: 0.0643, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.107, root_relative_squared_error: 0.3567, scimark_benchmark: 1254.1389, usercpu_time_millis: 89730, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 89690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9872, kappa: 0.9858, kb_relative_information_score: 5540.4067, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9873, predictive_accuracy: 0.9872, prior_entropy: 3.3218, recall: 0.9872, relative_absolute_error: 0.0162, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0506, root_relative_squared_error: 0.1686, scimark_benchmark: 473.1656, usercpu_time_millis: 32620, usercpu_time_millis_testing: 32610, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9222, kappa: 0.913, kb_relative_information_score: 5179.1059, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9238, predictive_accuracy: 0.9217, prior_entropy: 3.3218, recall: 0.9217, relative_absolute_error: 0.0917, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1176, root_relative_squared_error: 0.392, scimark_benchmark: 1230.8576, usercpu_time_millis: 470, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.8786, kappa: 0.8654, kb_relative_information_score: 4586.2736, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.879, predictive_accuracy: 0.8788, prior_entropy: 3.3218, recall: 0.8788, relative_absolute_error: 0.2633, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.4621, scimark_benchmark: 1173.426, usercpu_time_millis: 520, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 500,

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