OpenML
Supervised Classification on ipums_la_98-small

Supervised Classification on ipums_la_98-small

Task 3865 Supervised Classification ipums_la_98-small 456 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.8552, kappa: 0.0901, kb_relative_information_score: -1591.7907, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8502, predictive_accuracy: 0.8921, prior_entropy: 0.4871, recall: 0.8921, relative_absolute_error: 0.8134, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.922, scimark_benchmark: 903.2737, usercpu_time_millis: 1740, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.7748, kappa: 0.2296, kb_relative_information_score: -8183.6926, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8786, predictive_accuracy: 0.7241, prior_entropy: 0.4871, recall: 0.7241, relative_absolute_error: 1.4318, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.449, root_relative_squared_error: 1.4606, scimark_benchmark: 936.9595, usercpu_time_millis: 450, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.8542, kappa: 0.0955, kb_relative_information_score: 1016.0946, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8422, predictive_accuracy: 0.887, prior_entropy: 0.4871, recall: 0.887, relative_absolute_error: 0.6443, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3213, root_relative_squared_error: 1.0451, scimark_benchmark: 903.2737, usercpu_time_millis: 38390, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 38040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.8507, kappa: 0.049, kb_relative_information_score: -1585.1936, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8541, predictive_accuracy: 0.8942, prior_entropy: 0.4871, recall: 0.8942, relative_absolute_error: 0.831, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.9222, scimark_benchmark: 936.3213, usercpu_time_millis: 3190, usercpu_time_millis_testing: 480, usercpu_time_millis_training: 2710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.8604, kappa: 0.124, kb_relative_information_score: -1500.0862, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8631, predictive_accuracy: 0.8955, prior_entropy: 0.4871, recall: 0.8955, relative_absolute_error: 0.8235, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2798, root_relative_squared_error: 0.9102, scimark_benchmark: 935.5664, usercpu_time_millis: 888660, usercpu_time_millis_testing: 207060, usercpu_time_millis_training: 681600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.8615, kappa: 0.1316, kb_relative_information_score: -1484.8067, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.865, predictive_accuracy: 0.8961, prior_entropy: 0.4871, recall: 0.8961, relative_absolute_error: 0.8227, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.28, root_relative_squared_error: 0.9108, scimark_benchmark: 935.5664, usercpu_time_millis: 435570, usercpu_time_millis_testing: 104130, usercpu_time_millis_training: 331440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.8613, kappa: 0.1338, kb_relative_information_score: -1554.6065, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8608, predictive_accuracy: 0.8946, prior_entropy: 0.4871, recall: 0.8946, relative_absolute_error: 0.8259, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.282, root_relative_squared_error: 0.9173, scimark_benchmark: 910.2405, usercpu_time_millis: 227650, usercpu_time_millis_testing: 51230, usercpu_time_millis_training: 176420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.8618, kappa: 0.1444, kb_relative_information_score: -1493.8003, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8571, predictive_accuracy: 0.8925, prior_entropy: 0.4871, recall: 0.8925, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.9226, scimark_benchmark: 924.2305, usercpu_time_millis: 107120, usercpu_time_millis_testing: 24240, usercpu_time_millis_training: 82880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.8583, kappa: 0.1314, kb_relative_information_score: -1615.9713, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8478, predictive_accuracy: 0.8867, prior_entropy: 0.4871, recall: 0.8867, relative_absolute_error: 0.8326, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.9418, scimark_benchmark: 889.4922, usercpu_time_millis: 55070, usercpu_time_millis_testing: 9040, usercpu_time_millis_training: 46030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.8444, kb_relative_information_score: -2781.989, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.7998, predictive_accuracy: 0.8943, prior_entropy: 0.4871, recall: 0.8943, relative_absolute_error: 0.8518, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.9236, scimark_benchmark: 941.9549, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.8444, kb_relative_information_score: -2781.989, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.7998, predictive_accuracy: 0.8943, prior_entropy: 0.4871, recall: 0.8943, relative_absolute_error: 0.8518, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.9236, scimark_benchmark: 929.0296, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.8444, kb_relative_information_score: -2781.989, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.7998, predictive_accuracy: 0.8943, prior_entropy: 0.4871, recall: 0.8943, relative_absolute_error: 0.8518, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.9236, scimark_benchmark: 894.7131, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.8444, kb_relative_information_score: -2781.989, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.7998, predictive_accuracy: 0.8943, prior_entropy: 0.4871, recall: 0.8943, relative_absolute_error: 0.8518, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.9236, scimark_benchmark: 929.0296, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.8444, kb_relative_information_score: -2781.989, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.7998, predictive_accuracy: 0.8943, prior_entropy: 0.4871, recall: 0.8943, relative_absolute_error: 0.8518, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.9236, scimark_benchmark: 929.0296, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.846, kappa: 0.0129, kb_relative_information_score: -2182.1824, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8439, predictive_accuracy: 0.8939, prior_entropy: 0.4871, recall: 0.8939, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.9247, scimark_benchmark: 936.1714, usercpu_time_millis: 250, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, f_measure: 0.8444, kb_relative_information_score: 1930.9672, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.7998, predictive_accuracy: 0.8943, prior_entropy: 0.4871, recall: 0.8943, relative_absolute_error: 0.5636, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3224, root_relative_squared_error: 1.0486, scimark_benchmark: 926.5859, usercpu_time_millis: 7260, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 7210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.8444, kb_relative_information_score: 1870.9985, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.7998, predictive_accuracy: 0.8943, prior_entropy: 0.4871, recall: 0.8943, relative_absolute_error: 0.5759, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.319, root_relative_squared_error: 1.0377, scimark_benchmark: 936.1714, usercpu_time_millis: 3340, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.8444, kb_relative_information_score: 1940.6477, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.7998, predictive_accuracy: 0.8943, prior_entropy: 0.4871, recall: 0.8943, relative_absolute_error: 0.5622, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3241, root_relative_squared_error: 1.0542, scimark_benchmark: 936.1714, usercpu_time_millis: 1780, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, f_measure: 0.8444, kb_relative_information_score: 1849.5226, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.7998, predictive_accuracy: 0.8943, prior_entropy: 0.4871, recall: 0.8943, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3186, root_relative_squared_error: 1.0363, scimark_benchmark: 940.0055, usercpu_time_millis: 870, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.8444, kb_relative_information_score: 1947.4972, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.7998, predictive_accuracy: 0.8943, prior_entropy: 0.4871, recall: 0.8943, relative_absolute_error: 0.5606, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3247, root_relative_squared_error: 1.0561, scimark_benchmark: 940.0055, usercpu_time_millis: 420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8444, kb_relative_information_score: 1954.9262, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.7998, predictive_accuracy: 0.8943, prior_entropy: 0.4871, recall: 0.8943, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3251, root_relative_squared_error: 1.0574, scimark_benchmark: 941.9549, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.8587, kappa: 0.1053, kb_relative_information_score: -2091.5458, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8732, predictive_accuracy: 0.8975, prior_entropy: 0.4871, recall: 0.8975, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.9136, scimark_benchmark: 942.6192, usercpu_time_millis: 530, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.8444, kb_relative_information_score: -2745.2633, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.7998, predictive_accuracy: 0.8943, prior_entropy: 0.4871, recall: 0.8943, relative_absolute_error: 0.8494, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.9217, scimark_benchmark: 933.0918, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.8512, kappa: 0.0502, kb_relative_information_score: -2858.9476, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8667, predictive_accuracy: 0.8955, prior_entropy: 0.4871, recall: 0.8955, relative_absolute_error: 0.861, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.9313, scimark_benchmark: 923.509, usercpu_time_millis: 420, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.8459, kappa: 0.0115, kb_relative_information_score: -4806.552, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8491, predictive_accuracy: 0.8942, prior_entropy: 0.4871, recall: 0.8942, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.9515, scimark_benchmark: 926.4745, usercpu_time_millis: 990, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.8492, kappa: 0.0378, kb_relative_information_score: -2127.7039, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.852, predictive_accuracy: 0.8941, prior_entropy: 0.4871, recall: 0.8941, relative_absolute_error: 0.8479, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.9192, scimark_benchmark: 933.5515, usercpu_time_millis: 11950, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 11940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, f_measure: 0.8457, kappa: 0.009, kb_relative_information_score: 1982.866, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.9059, predictive_accuracy: 0.8949, prior_entropy: 0.4871, recall: 0.8949, relative_absolute_error: 0.556, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3243, root_relative_squared_error: 1.0548, scimark_benchmark: 945.0194, usercpu_time_millis: 312820, usercpu_time_millis_testing: 48710, usercpu_time_millis_training: 264110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, f_measure: 0.8457, kappa: 0.009, kb_relative_information_score: 1982.866, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.9059, predictive_accuracy: 0.8949, prior_entropy: 0.4871, recall: 0.8949, relative_absolute_error: 0.556, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3243, root_relative_squared_error: 1.0548, scimark_benchmark: 946.8777, usercpu_time_millis: 207100, usercpu_time_millis_testing: 37980, usercpu_time_millis_training: 169120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.7748, kappa: 0.2296, kb_relative_information_score: -8183.6926, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8786, predictive_accuracy: 0.7241, prior_entropy: 0.4871, recall: 0.7241, relative_absolute_error: 1.4318, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.449, root_relative_squared_error: 1.4606, scimark_benchmark: 945.0194, usercpu_time_millis: 400, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.7748, kappa: 0.2296, kb_relative_information_score: -8183.6926, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8786, predictive_accuracy: 0.7241, prior_entropy: 0.4871, recall: 0.7241, relative_absolute_error: 1.4318, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.449, root_relative_squared_error: 1.4606, scimark_benchmark: 922.5036, usercpu_time_millis: 410, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.7748, kappa: 0.2296, kb_relative_information_score: -8183.6926, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8786, predictive_accuracy: 0.7241, prior_entropy: 0.4871, recall: 0.7241, relative_absolute_error: 1.4318, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.449, root_relative_squared_error: 1.4606, scimark_benchmark: 945.0194, usercpu_time_millis: 390, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.7748, kappa: 0.2296, kb_relative_information_score: -8183.6926, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8786, predictive_accuracy: 0.7241, prior_entropy: 0.4871, recall: 0.7241, relative_absolute_error: 1.4318, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.449, root_relative_squared_error: 1.4606, scimark_benchmark: 946.9304, usercpu_time_millis: 390, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.8552, kappa: 0.0901, kb_relative_information_score: -1591.7907, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8502, predictive_accuracy: 0.8921, prior_entropy: 0.4871, recall: 0.8921, relative_absolute_error: 0.8134, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.922, scimark_benchmark: 946.9304, usercpu_time_millis: 1590, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.8502, kappa: 0.0909, kb_relative_information_score: -222.93, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8342, predictive_accuracy: 0.8775, prior_entropy: 0.4871, recall: 0.8775, relative_absolute_error: 0.7513, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3069, root_relative_squared_error: 0.9982, scimark_benchmark: 910.6607, usercpu_time_millis: 4749270, usercpu_time_millis_testing: 107950, usercpu_time_millis_training: 4641320,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.8542, kappa: 0.0955, kb_relative_information_score: 1016.0946, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8422, predictive_accuracy: 0.887, prior_entropy: 0.4871, recall: 0.887, relative_absolute_error: 0.6443, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3213, root_relative_squared_error: 1.0451, scimark_benchmark: 928.8135, usercpu_time_millis: 39950, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 39570,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.7748, kappa: 0.2296, kb_relative_information_score: -8183.6926, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8786, predictive_accuracy: 0.7241, prior_entropy: 0.4871, recall: 0.7241, relative_absolute_error: 1.4318, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.449, root_relative_squared_error: 1.4606, scimark_benchmark: 1310.6554, usercpu_time_millis: 300, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.7748, kappa: 0.2296, kb_relative_information_score: -8183.6926, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8786, predictive_accuracy: 0.7241, prior_entropy: 0.4871, recall: 0.7241, relative_absolute_error: 1.4318, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.449, root_relative_squared_error: 1.4606, scimark_benchmark: 1316.5668, usercpu_time_millis: 320, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.8552, kappa: 0.0901, kb_relative_information_score: -1591.7907, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8502, predictive_accuracy: 0.8921, prior_entropy: 0.4871, recall: 0.8921, relative_absolute_error: 0.8134, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.922, scimark_benchmark: 1318.4315, usercpu_time_millis: 1490, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.7748, kappa: 0.2296, kb_relative_information_score: -8183.6926, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8786, predictive_accuracy: 0.7241, prior_entropy: 0.4871, recall: 0.7241, relative_absolute_error: 1.4318, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.449, root_relative_squared_error: 1.4606, scimark_benchmark: 1339.2472, usercpu_time_millis: 290, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.8507, kappa: 0.049, kb_relative_information_score: -1585.1936, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8541, predictive_accuracy: 0.8942, prior_entropy: 0.4871, recall: 0.8942, relative_absolute_error: 0.831, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.9222, scimark_benchmark: 1316.6741, usercpu_time_millis: 2330, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 1880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.8459, kappa: 0.0115, kb_relative_information_score: -4806.552, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8491, predictive_accuracy: 0.8942, prior_entropy: 0.4871, recall: 0.8942, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.9515, scimark_benchmark: 1358.6198, usercpu_time_millis: 1310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.7341, kappa: 0.2261, kb_relative_information_score: -9847.7358, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8959, predictive_accuracy: 0.6707, prior_entropy: 0.4871, recall: 0.6707, relative_absolute_error: 1.7294, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.5609, root_relative_squared_error: 1.8245, scimark_benchmark: 1321.8321, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.7748, kappa: 0.2296, kb_relative_information_score: -8183.6926, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8786, predictive_accuracy: 0.7241, prior_entropy: 0.4871, recall: 0.7241, relative_absolute_error: 1.4318, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.449, root_relative_squared_error: 1.4606, scimark_benchmark: 1337.1928, usercpu_time_millis: 290, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.7748, kappa: 0.2296, kb_relative_information_score: -8183.6926, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8786, predictive_accuracy: 0.7241, prior_entropy: 0.4871, recall: 0.7241, relative_absolute_error: 1.4318, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.449, root_relative_squared_error: 1.4606, scimark_benchmark: 1331.1314, usercpu_time_millis: 260, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.7748, kappa: 0.2296, kb_relative_information_score: -8183.6926, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8786, predictive_accuracy: 0.7241, prior_entropy: 0.4871, recall: 0.7241, relative_absolute_error: 1.4318, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.449, root_relative_squared_error: 1.4606, scimark_benchmark: 1332.7986, usercpu_time_millis: 300, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.7748, kappa: 0.2296, kb_relative_information_score: -8183.6926, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8786, predictive_accuracy: 0.7241, prior_entropy: 0.4871, recall: 0.7241, relative_absolute_error: 1.4318, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.449, root_relative_squared_error: 1.4606, scimark_benchmark: 1338.5214, usercpu_time_millis: 300, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.8542, kappa: 0.0955, kb_relative_information_score: 1016.0946, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8422, predictive_accuracy: 0.887, prior_entropy: 0.4871, recall: 0.887, relative_absolute_error: 0.6443, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3213, root_relative_squared_error: 1.0451, scimark_benchmark: 1338.5214, usercpu_time_millis: 47670, usercpu_time_millis_testing: 890, usercpu_time_millis_training: 46780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.8507, kappa: 0.049, kb_relative_information_score: -1585.1936, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8541, predictive_accuracy: 0.8942, prior_entropy: 0.4871, recall: 0.8942, relative_absolute_error: 0.831, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.9222, scimark_benchmark: 1354.5533, usercpu_time_millis: 2840, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 2330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.8512, kappa: 0.0502, kb_relative_information_score: -2858.9476, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8667, predictive_accuracy: 0.8955, prior_entropy: 0.4871, recall: 0.8955, relative_absolute_error: 0.861, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.9313, scimark_benchmark: 1310.3168, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.8459, kappa: 0.0115, kb_relative_information_score: -4806.552, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8491, predictive_accuracy: 0.8942, prior_entropy: 0.4871, recall: 0.8942, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.9515, scimark_benchmark: 1346.0226, usercpu_time_millis: 770, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.8492, kappa: 0.0378, kb_relative_information_score: -2127.7039, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.852, predictive_accuracy: 0.8941, prior_entropy: 0.4871, recall: 0.8941, relative_absolute_error: 0.8479, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.9192, scimark_benchmark: 1322.5413, usercpu_time_millis: 9970, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 9960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.7748, kappa: 0.2296, kb_relative_information_score: -8183.6926, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8786, predictive_accuracy: 0.7241, prior_entropy: 0.4871, recall: 0.7241, relative_absolute_error: 1.4318, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.449, root_relative_squared_error: 1.4606, scimark_benchmark: 1336.4701, usercpu_time_millis: 260, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.8552, kappa: 0.0901, kb_relative_information_score: -1591.7907, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8502, predictive_accuracy: 0.8921, prior_entropy: 0.4871, recall: 0.8921, relative_absolute_error: 0.8134, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.922, scimark_benchmark: 1375.1578, usercpu_time_millis: 1270, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, f_measure: 0.8457, kappa: 0.009, kb_relative_information_score: 1982.866, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.9059, predictive_accuracy: 0.8949, prior_entropy: 0.4871, recall: 0.8949, relative_absolute_error: 0.556, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3243, root_relative_squared_error: 1.0548, scimark_benchmark: 1354.3488, usercpu_time_millis: 292290, usercpu_time_millis_testing: 47930, usercpu_time_millis_training: 244360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.7341, kappa: 0.2261, kb_relative_information_score: -9847.7358, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8959, predictive_accuracy: 0.6707, prior_entropy: 0.4871, recall: 0.6707, relative_absolute_error: 1.7294, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.5609, root_relative_squared_error: 1.8245, scimark_benchmark: 1260.1387, usercpu_time_millis: 110, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.7748, kappa: 0.2296, kb_relative_information_score: -8183.6926, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8786, predictive_accuracy: 0.7241, prior_entropy: 0.4871, recall: 0.7241, relative_absolute_error: 1.4318, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.449, root_relative_squared_error: 1.4606, scimark_benchmark: 1354.3488, usercpu_time_millis: 330, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.8542, kappa: 0.0955, kb_relative_information_score: 1016.0946, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8422, predictive_accuracy: 0.887, prior_entropy: 0.4871, recall: 0.887, relative_absolute_error: 0.6443, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3213, root_relative_squared_error: 1.0451, scimark_benchmark: 1325.5735, usercpu_time_millis: 51880, usercpu_time_millis_testing: 910, usercpu_time_millis_training: 50970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.7748, kappa: 0.2296, kb_relative_information_score: -8183.6926, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8786, predictive_accuracy: 0.7241, prior_entropy: 0.4871, recall: 0.7241, relative_absolute_error: 1.4318, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.449, root_relative_squared_error: 1.4606, scimark_benchmark: 938.0414, usercpu_time_millis: 440, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.8507, kappa: 0.049, kb_relative_information_score: -1585.1936, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8541, predictive_accuracy: 0.8942, prior_entropy: 0.4871, recall: 0.8942, relative_absolute_error: 0.831, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.9222, scimark_benchmark: 1281.7531, usercpu_time_millis: 3350, usercpu_time_millis_testing: 840, usercpu_time_millis_training: 2510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7618, f_measure: 0.8505, kappa: 0.2225, kb_relative_information_score: -839.6767, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8531, predictive_accuracy: 0.848, prior_entropy: 0.4871, recall: 0.848, relative_absolute_error: 0.8214, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3735, root_relative_squared_error: 1.215, scimark_benchmark: 1371.9645, usercpu_time_millis: 5270, usercpu_time_millis_testing: 810, usercpu_time_millis_training: 4460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.8502, kappa: 0.0909, kb_relative_information_score: -222.9138, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8342, predictive_accuracy: 0.8775, prior_entropy: 0.4871, recall: 0.8775, relative_absolute_error: 0.7513, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3069, root_relative_squared_error: 0.9982, scimark_benchmark: 1264.9916, usercpu_time_millis: 1307860, usercpu_time_millis_testing: 88630, usercpu_time_millis_training: 1219230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.7748, kappa: 0.2296, kb_relative_information_score: -8183.6926, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8786, predictive_accuracy: 0.7241, prior_entropy: 0.4871, recall: 0.7241, relative_absolute_error: 1.4318, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.449, root_relative_squared_error: 1.4606, scimark_benchmark: 1341.5795, usercpu_time_millis: 270, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.7748, kappa: 0.2296, kb_relative_information_score: -8183.6926, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8786, predictive_accuracy: 0.7241, prior_entropy: 0.4871, recall: 0.7241, relative_absolute_error: 1.4318, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.449, root_relative_squared_error: 1.4606, scimark_benchmark: 1312.2688, usercpu_time_millis: 260, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.8492, kappa: 0.0378, kb_relative_information_score: -2127.7039, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.852, predictive_accuracy: 0.8941, prior_entropy: 0.4871, recall: 0.8941, relative_absolute_error: 0.8479, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.9192, scimark_benchmark: 1328.1545, usercpu_time_millis: 9860, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 9850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.7341, kappa: 0.2261, kb_relative_information_score: -9847.7358, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8959, predictive_accuracy: 0.6707, prior_entropy: 0.4871, recall: 0.6707, relative_absolute_error: 1.7294, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.5609, root_relative_squared_error: 1.8245, scimark_benchmark: 1345.7204, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,

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