OpenML
Supervised Classification on fri_c4_500_25

Supervised Classification on fri_c4_500_25

Task 3703 Supervised Classification fri_c4_500_25 554 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: 0.9219, f_measure: 0.8375, kappa: 0.6682, kb_relative_information_score: 283.3132, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8376, predictive_accuracy: 0.838, prior_entropy: 0.9867, recall: 0.838, relative_absolute_error: 0.4582, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.6736, scimark_benchmark: 929.0296, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.4115, kb_relative_information_score: -0.0675, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.3226, predictive_accuracy: 0.568, prior_entropy: 0.9867, recall: 0.568, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4954, root_relative_squared_error: 1, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8596, kappa: 0.7131, kb_relative_information_score: 356.4235, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8598, predictive_accuracy: 0.86, prior_entropy: 0.9867, recall: 0.86, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.6949, scimark_benchmark: 936.1714, usercpu_time_millis: 810, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8577, kappa: 0.7095, kb_relative_information_score: 350.7092, mean_absolute_error: 0.1465, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8577, predictive_accuracy: 0.858, prior_entropy: 0.9867, recall: 0.858, relative_absolute_error: 0.2985, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.6855, scimark_benchmark: 936.1714, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.844, kappa: 0.6821, kb_relative_information_score: 329.1545, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.844, predictive_accuracy: 0.844, prior_entropy: 0.9867, recall: 0.844, relative_absolute_error: 0.3435, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.7357, scimark_benchmark: 938.3115, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, f_measure: 0.8165, kappa: 0.6275, kb_relative_information_score: 286.2273, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8179, predictive_accuracy: 0.816, prior_entropy: 0.9867, recall: 0.816, relative_absolute_error: 0.4318, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8073, scimark_benchmark: 926.5859, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.7751, kappa: 0.5405, kb_relative_information_score: 254.6103, mean_absolute_error: 0.2419, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.7751, predictive_accuracy: 0.776, prior_entropy: 0.9867, recall: 0.776, relative_absolute_error: 0.4929, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.8577, 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: 0.4115, kb_relative_information_score: 56.2846, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.3226, predictive_accuracy: 0.568, prior_entropy: 0.9867, recall: 0.568, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6573, root_relative_squared_error: 1.3269, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.8483, kappa: 0.6916, kb_relative_information_score: 333.6899, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.849, predictive_accuracy: 0.848, prior_entropy: 0.9867, recall: 0.848, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.7754, scimark_benchmark: 942.6192, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8459, kappa: 0.6857, kb_relative_information_score: 183.5486, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8458, predictive_accuracy: 0.846, prior_entropy: 0.9867, recall: 0.846, relative_absolute_error: 0.6851, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.37, root_relative_squared_error: 0.7469, scimark_benchmark: 923.7471, usercpu_time_millis: 1500, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7786, f_measure: 0.7474, kappa: 0.4842, kb_relative_information_score: 95.2553, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.7471, predictive_accuracy: 0.748, prior_entropy: 0.9867, recall: 0.748, relative_absolute_error: 0.843, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.8878, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.8303, kappa: 0.6549, kb_relative_information_score: 292.6845, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8309, predictive_accuracy: 0.83, prior_entropy: 0.9867, recall: 0.83, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7229, scimark_benchmark: 907.1091, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8778, kappa: 0.7507, kb_relative_information_score: 283.8292, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8778, predictive_accuracy: 0.878, prior_entropy: 0.9867, recall: 0.878, relative_absolute_error: 0.4666, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.6308, scimark_benchmark: 919.6941, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8418, kappa: 0.6772, kb_relative_information_score: 295.1226, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8417, predictive_accuracy: 0.842, prior_entropy: 0.9867, recall: 0.842, relative_absolute_error: 0.427, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.6933, scimark_benchmark: 907.1091, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8377, kappa: 0.6686, kb_relative_information_score: 295.8591, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8376, predictive_accuracy: 0.838, prior_entropy: 0.9867, recall: 0.838, relative_absolute_error: 0.4247, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.6836, scimark_benchmark: 922.5036, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8377, kappa: 0.6686, kb_relative_information_score: 295.8591, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8376, predictive_accuracy: 0.838, prior_entropy: 0.9867, recall: 0.838, relative_absolute_error: 0.4247, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.6836, scimark_benchmark: 922.5036, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8377, kappa: 0.6686, kb_relative_information_score: 295.8591, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8376, predictive_accuracy: 0.838, prior_entropy: 0.9867, recall: 0.838, relative_absolute_error: 0.4247, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.6836, scimark_benchmark: 946.9304, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.8678, kappa: 0.7304, kb_relative_information_score: 298.4289, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8678, predictive_accuracy: 0.868, prior_entropy: 0.9867, recall: 0.868, relative_absolute_error: 0.4328, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.6257, scimark_benchmark: 922.5036, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.6742, kappa: 0.3339, kb_relative_information_score: 112.3067, mean_absolute_error: 0.389, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6738, predictive_accuracy: 0.676, prior_entropy: 0.9867, recall: 0.676, relative_absolute_error: 0.7926, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9482, scimark_benchmark: 910.6607, usercpu_time_millis: 6480, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 6390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8377, kappa: 0.6686, kb_relative_information_score: 295.8591, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8376, predictive_accuracy: 0.838, prior_entropy: 0.9867, recall: 0.838, relative_absolute_error: 0.4247, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.6836, scimark_benchmark: 942.3809, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8918, f_measure: 0.819, kappa: 0.6299, kb_relative_information_score: 290.5966, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8197, predictive_accuracy: 0.82, prior_entropy: 0.9867, recall: 0.82, relative_absolute_error: 0.4318, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.742, scimark_benchmark: 946.9304, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.8576, kappa: 0.7092, kb_relative_information_score: 241.6584, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8578, predictive_accuracy: 0.858, prior_entropy: 0.9867, recall: 0.858, relative_absolute_error: 0.5617, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.668, scimark_benchmark: 928.8135, usercpu_time_millis: 240, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.8303, kappa: 0.6549, kb_relative_information_score: 292.6845, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8309, predictive_accuracy: 0.83, prior_entropy: 0.9867, recall: 0.83, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7229, scimark_benchmark: 901.8743, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6762, f_measure: 0.6872, kappa: 0.3596, kb_relative_information_score: 183.6319, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6898, predictive_accuracy: 0.692, prior_entropy: 0.9867, recall: 0.692, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.555, root_relative_squared_error: 1.1204, scimark_benchmark: 1337.1889, usercpu_time_millis: 170, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8377, kappa: 0.6686, kb_relative_information_score: 295.8591, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8376, predictive_accuracy: 0.838, prior_entropy: 0.9867, recall: 0.838, relative_absolute_error: 0.4247, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.6836, scimark_benchmark: 1332.1612, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8338, kappa: 0.6608, kb_relative_information_score: 289.7314, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8337, predictive_accuracy: 0.834, prior_entropy: 0.9867, recall: 0.834, relative_absolute_error: 0.4368, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.6976, scimark_benchmark: 1295.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8377, kappa: 0.6686, kb_relative_information_score: 295.8591, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8376, predictive_accuracy: 0.838, prior_entropy: 0.9867, recall: 0.838, relative_absolute_error: 0.4247, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.6836, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8778, kappa: 0.7507, kb_relative_information_score: 283.8292, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8778, predictive_accuracy: 0.878, prior_entropy: 0.9867, recall: 0.878, relative_absolute_error: 0.4666, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.6308, scimark_benchmark: 1342.8632, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6762, f_measure: 0.6872, kappa: 0.3596, kb_relative_information_score: 183.6319, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6898, predictive_accuracy: 0.692, prior_entropy: 0.9867, recall: 0.692, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.555, root_relative_squared_error: 1.1204, scimark_benchmark: 1342.8632, usercpu_time_millis: 170, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8377, kappa: 0.6686, kb_relative_information_score: 295.8591, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8376, predictive_accuracy: 0.838, prior_entropy: 0.9867, recall: 0.838, relative_absolute_error: 0.4247, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.6836, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.8303, kappa: 0.6549, kb_relative_information_score: 292.6845, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8309, predictive_accuracy: 0.83, prior_entropy: 0.9867, recall: 0.83, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7229, scimark_benchmark: 1353.0836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8338, kappa: 0.6608, kb_relative_information_score: 289.7314, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8337, predictive_accuracy: 0.834, prior_entropy: 0.9867, recall: 0.834, relative_absolute_error: 0.4368, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.6976, scimark_benchmark: 1336.0954, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8377, kappa: 0.6686, kb_relative_information_score: 295.8591, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8376, predictive_accuracy: 0.838, prior_entropy: 0.9867, recall: 0.838, relative_absolute_error: 0.4247, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.6836, scimark_benchmark: 1336.0954, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.8678, kappa: 0.7304, kb_relative_information_score: 298.4289, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8678, predictive_accuracy: 0.868, prior_entropy: 0.9867, recall: 0.868, relative_absolute_error: 0.4328, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.6257, scimark_benchmark: 1313.8988, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8338, kappa: 0.6608, kb_relative_information_score: 289.7314, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8337, predictive_accuracy: 0.834, prior_entropy: 0.9867, recall: 0.834, relative_absolute_error: 0.4368, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.6976, scimark_benchmark: 1346.2927, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8377, kappa: 0.6686, kb_relative_information_score: 295.8591, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8376, predictive_accuracy: 0.838, prior_entropy: 0.9867, recall: 0.838, relative_absolute_error: 0.4247, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.6836, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8377, kappa: 0.6686, kb_relative_information_score: 295.8591, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8376, predictive_accuracy: 0.838, prior_entropy: 0.9867, recall: 0.838, relative_absolute_error: 0.4247, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.6836, scimark_benchmark: 1286.2211,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8377, kappa: 0.6686, kb_relative_information_score: 295.8591, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8376, predictive_accuracy: 0.838, prior_entropy: 0.9867, recall: 0.838, relative_absolute_error: 0.4247, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.6836, scimark_benchmark: 1347.6543, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.8576, kappa: 0.7092, kb_relative_information_score: 241.6584, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8578, predictive_accuracy: 0.858, prior_entropy: 0.9867, recall: 0.858, relative_absolute_error: 0.5617, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.668, scimark_benchmark: 1347.993, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8338, kappa: 0.6608, kb_relative_information_score: 289.7314, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8337, predictive_accuracy: 0.834, prior_entropy: 0.9867, recall: 0.834, relative_absolute_error: 0.4368, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.6976, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.8576, kappa: 0.7092, kb_relative_information_score: 241.6584, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8578, predictive_accuracy: 0.858, prior_entropy: 0.9867, recall: 0.858, relative_absolute_error: 0.5617, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.668, scimark_benchmark: 1326.8946, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.8303, kappa: 0.6549, kb_relative_information_score: 292.6845, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8309, predictive_accuracy: 0.83, prior_entropy: 0.9867, recall: 0.83, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7229, scimark_benchmark: 1320.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.6742, kappa: 0.3339, kb_relative_information_score: 112.3067, mean_absolute_error: 0.389, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6738, predictive_accuracy: 0.676, prior_entropy: 0.9867, recall: 0.676, relative_absolute_error: 0.7926, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9482, scimark_benchmark: 1347.5461, usercpu_time_millis: 4900, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 4860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.6737, kappa: 0.3346, kb_relative_information_score: 129.9036, mean_absolute_error: 0.3683, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6735, predictive_accuracy: 0.674, prior_entropy: 0.9867, recall: 0.674, relative_absolute_error: 0.7504, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5063, root_relative_squared_error: 1.0221, scimark_benchmark: 1341.5795, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8338, kappa: 0.6608, kb_relative_information_score: 289.7314, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8337, predictive_accuracy: 0.834, prior_entropy: 0.9867, recall: 0.834, relative_absolute_error: 0.4368, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.6976, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8377, kappa: 0.6686, kb_relative_information_score: 295.8591, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8376, predictive_accuracy: 0.838, prior_entropy: 0.9867, recall: 0.838, relative_absolute_error: 0.4247, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.6836, scimark_benchmark: 918.0213, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8377, kappa: 0.6686, kb_relative_information_score: 295.8591, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8376, predictive_accuracy: 0.838, prior_entropy: 0.9867, recall: 0.838, relative_absolute_error: 0.4247, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.6836, scimark_benchmark: 938.0414, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.8279, kappa: 0.6491, kb_relative_information_score: 310.9253, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8278, predictive_accuracy: 0.828, prior_entropy: 0.9867, recall: 0.828, relative_absolute_error: 0.3836, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.7682, scimark_benchmark: 1371.9645, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8377, kappa: 0.6686, kb_relative_information_score: 295.8591, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8376, predictive_accuracy: 0.838, prior_entropy: 0.9867, recall: 0.838, relative_absolute_error: 0.4247, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.6836, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8377, kappa: 0.6686, kb_relative_information_score: 295.8591, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8376, predictive_accuracy: 0.838, prior_entropy: 0.9867, recall: 0.838, relative_absolute_error: 0.4247, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.6836, scimark_benchmark: 1352.1128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8551, kappa: 0.7036, kb_relative_information_score: 210.2723, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8565, predictive_accuracy: 0.856, prior_entropy: 0.9867, recall: 0.856, relative_absolute_error: 0.6324, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3478, root_relative_squared_error: 0.7022, scimark_benchmark: 1331.8954, usercpu_time_millis: 540, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8338, kappa: 0.6608, kb_relative_information_score: 289.7314, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8337, predictive_accuracy: 0.834, prior_entropy: 0.9867, recall: 0.834, relative_absolute_error: 0.4368, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.6976, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8377, kappa: 0.6686, kb_relative_information_score: 295.8591, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8376, predictive_accuracy: 0.838, prior_entropy: 0.9867, recall: 0.838, relative_absolute_error: 0.4247, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.6836, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.8303, kappa: 0.6549, kb_relative_information_score: 292.6845, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8309, predictive_accuracy: 0.83, prior_entropy: 0.9867, recall: 0.83, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7229, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8377, kappa: 0.6686, kb_relative_information_score: 295.8591, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8376, predictive_accuracy: 0.838, prior_entropy: 0.9867, recall: 0.838, relative_absolute_error: 0.4247, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.6836, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8377, kappa: 0.6686, kb_relative_information_score: 295.8591, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8376, predictive_accuracy: 0.838, prior_entropy: 0.9867, recall: 0.838, relative_absolute_error: 0.4247, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.6836, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.8576, kappa: 0.7092, kb_relative_information_score: 241.6584, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8578, predictive_accuracy: 0.858, prior_entropy: 0.9867, recall: 0.858, relative_absolute_error: 0.5617, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.668, scimark_benchmark: 1315.933, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8418, kappa: 0.6772, kb_relative_information_score: 295.1226, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8417, predictive_accuracy: 0.842, prior_entropy: 0.9867, recall: 0.842, relative_absolute_error: 0.427, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.6933, scimark_benchmark: 1350.073, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.8678, kappa: 0.7304, kb_relative_information_score: 298.4289, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8678, predictive_accuracy: 0.868, prior_entropy: 0.9867, recall: 0.868, relative_absolute_error: 0.4328, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.6257, scimark_benchmark: 1322.7383, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.8576, kappa: 0.7092, kb_relative_information_score: 241.6584, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8578, predictive_accuracy: 0.858, prior_entropy: 0.9867, recall: 0.858, relative_absolute_error: 0.5617, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.668, scimark_benchmark: 1311.9814, usercpu_time_millis: 210, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8338, kappa: 0.6608, kb_relative_information_score: 289.7314, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8337, predictive_accuracy: 0.834, prior_entropy: 0.9867, recall: 0.834, relative_absolute_error: 0.4368, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.6976, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8377, kappa: 0.6686, kb_relative_information_score: 295.8591, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8376, predictive_accuracy: 0.838, prior_entropy: 0.9867, recall: 0.838, relative_absolute_error: 0.4247, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.6836, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.6742, kappa: 0.3339, kb_relative_information_score: 112.3067, mean_absolute_error: 0.389, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6738, predictive_accuracy: 0.676, prior_entropy: 0.9867, recall: 0.676, relative_absolute_error: 0.7926, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9482, scimark_benchmark: 1312.0581, usercpu_time_millis: 4320, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 4270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.8576, kappa: 0.7092, kb_relative_information_score: 241.6584, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8578, predictive_accuracy: 0.858, prior_entropy: 0.9867, recall: 0.858, relative_absolute_error: 0.5617, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.668, scimark_benchmark: 1354.7191, usercpu_time_millis: 200, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 180,

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