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OpenML
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
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • 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: 0.8112, 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: 929.0363, usercpu_time_millis: 3936020, usercpu_time_millis_testing: 102690, usercpu_time_millis_training: 3833330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.8529, kappa: 0.1364, kb_relative_information_score: -1809.4524, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8402, predictive_accuracy: 0.8716, prior_entropy: 0.4871, recall: 0.8716, relative_absolute_error: 0.8162, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3195, root_relative_squared_error: 1.0391, scimark_benchmark: 1325.2092, usercpu_time_millis: 28300, usercpu_time_millis_testing: 28300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5038, f_measure: 0.8461, kappa: 0.0132, kb_relative_information_score: 1940.9564, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8467, predictive_accuracy: 0.8941, prior_entropy: 0.4871, recall: 0.8941, relative_absolute_error: 0.5603, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3255, root_relative_squared_error: 1.0588, scimark_benchmark: 937.6212, usercpu_time_millis: 9040, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 8990,
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: 937.5996, usercpu_time_millis: 289530, usercpu_time_millis_testing: 29000, usercpu_time_millis_training: 260530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5168, f_measure: 0.8517, kappa: 0.0568, kb_relative_information_score: 1961.9112, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8564, predictive_accuracy: 0.8945, prior_entropy: 0.4871, recall: 0.8945, relative_absolute_error: 0.5581, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3249, root_relative_squared_error: 1.0568, scimark_benchmark: 1337.7959, usercpu_time_millis: 1369060, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1369020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7278, f_measure: 0.8508, kappa: 0.0496, kb_relative_information_score: -7052.6785, mean_absolute_error: 0.2261, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8562, predictive_accuracy: 0.8945, prior_entropy: 0.4871, recall: 0.8945, relative_absolute_error: 1.1958, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3368, root_relative_squared_error: 1.0955, scimark_benchmark: 938.343, usercpu_time_millis: 11870, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 11800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.7837, kappa: 0.0012, kb_relative_information_score: -5064.9401, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8112, predictive_accuracy: 0.7601, prior_entropy: 0.4871, recall: 0.7601, relative_absolute_error: 1.2689, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.4898, root_relative_squared_error: 1.5934, scimark_benchmark: 935.5075, usercpu_time_millis: 3470, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 3410,
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: 1307.4861, usercpu_time_millis: 341660, usercpu_time_millis_testing: 73880, usercpu_time_millis_training: 267780,
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: 1028.5889, usercpu_time_millis: 160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, f_measure: 0.8397, kappa: 0.2278, kb_relative_information_score: -4539.9987, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8558, predictive_accuracy: 0.8269, prior_entropy: 0.4871, recall: 0.8269, relative_absolute_error: 1.0392, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3345, root_relative_squared_error: 1.0881, scimark_benchmark: 1073.494, usercpu_time_millis: 21910, usercpu_time_millis_testing: 18120, usercpu_time_millis_training: 3790,
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: 1330.0694, usercpu_time_millis: 2390, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 1870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6125, f_measure: 0.8447, kappa: 0.1646, kb_relative_information_score: -944.3896, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8422, predictive_accuracy: 0.8473, prior_entropy: 0.4871, recall: 0.8473, relative_absolute_error: 0.8312, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.38, root_relative_squared_error: 1.2361, scimark_benchmark: 1325.942, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.8555, kappa: 0.093, kb_relative_information_score: -1884.7338, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8503, predictive_accuracy: 0.8919, prior_entropy: 0.4871, recall: 0.8919, relative_absolute_error: 0.8235, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.935, scimark_benchmark: 1315.3881, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8444, kb_relative_information_score: 2.0573, mean_absolute_error: 0.189, 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: 0.9996, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3074, root_relative_squared_error: 1, scimark_benchmark: 1327.6929, usercpu_time_millis: 8070, usercpu_time_millis_training: 8070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5956, f_measure: 0.8459, kappa: 0.1891, kb_relative_information_score: -622.5172, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8467, predictive_accuracy: 0.845, prior_entropy: 0.4871, recall: 0.845, relative_absolute_error: 0.8195, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3937, root_relative_squared_error: 1.2805, scimark_benchmark: 1291.6995, usercpu_time_millis: 62010, usercpu_time_millis_testing: 33000, usercpu_time_millis_training: 29010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.8416, kappa: -0.0006, kb_relative_information_score: 1417.0857, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8107, predictive_accuracy: 0.884, prior_entropy: 0.4871, recall: 0.884, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3405, root_relative_squared_error: 1.1077, scimark_benchmark: 1319.6463, usercpu_time_millis: 106030, usercpu_time_millis_testing: 18650, usercpu_time_millis_training: 87380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.8557, kappa: 0.1315, kb_relative_information_score: -1648.7914, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8426, predictive_accuracy: 0.8798, prior_entropy: 0.4871, recall: 0.8798, relative_absolute_error: 0.828, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.9894, scimark_benchmark: 1358.4523, usercpu_time_millis: 4670, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 4630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, f_measure: 0.8453, kappa: 0.0099, kb_relative_information_score: 1857.1371, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8267, predictive_accuracy: 0.8925, prior_entropy: 0.4871, recall: 0.8925, relative_absolute_error: 0.5687, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3279, root_relative_squared_error: 1.0668, scimark_benchmark: 1351.788, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5121, f_measure: 0.85, kappa: 0.0417, kb_relative_information_score: 1989.8509, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8618, predictive_accuracy: 0.895, prior_entropy: 0.4871, recall: 0.895, relative_absolute_error: 0.5553, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3241, root_relative_squared_error: 1.0541, scimark_benchmark: 1353.5686, usercpu_time_millis: 440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8444, kb_relative_information_score: -3.6094, mean_absolute_error: 0.1891, 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: 1, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3074, root_relative_squared_error: 1, scimark_benchmark: 1330.0803,
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: 1465.2979, usercpu_time_millis: 320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7593, f_measure: 0.5356, kappa: 0.1141, kb_relative_information_score: -21070.1862, mean_absolute_error: 0.5424, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.9042, predictive_accuracy: 0.4573, prior_entropy: 0.4871, recall: 0.4573, relative_absolute_error: 2.8684, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.7319, root_relative_squared_error: 2.3807, scimark_benchmark: 927.0753, usercpu_time_millis: 170, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7593, f_measure: 0.5356, kappa: 0.1141, kb_relative_information_score: -21070.1862, mean_absolute_error: 0.5424, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.9042, predictive_accuracy: 0.4573, prior_entropy: 0.4871, recall: 0.4573, relative_absolute_error: 2.8684, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.7319, root_relative_squared_error: 2.3807, scimark_benchmark: 941.7954, usercpu_time_millis: 180, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7593, f_measure: 0.5356, kappa: 0.1141, kb_relative_information_score: -21070.1862, mean_absolute_error: 0.5424, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.9042, predictive_accuracy: 0.4573, prior_entropy: 0.4871, recall: 0.4573, relative_absolute_error: 2.8684, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.7319, root_relative_squared_error: 2.3807, scimark_benchmark: 945.6434, usercpu_time_millis: 180, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7593, f_measure: 0.5356, kappa: 0.1141, kb_relative_information_score: -21070.1862, mean_absolute_error: 0.5424, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.9042, predictive_accuracy: 0.4573, prior_entropy: 0.4871, recall: 0.4573, relative_absolute_error: 2.8684, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.7319, root_relative_squared_error: 2.3807, scimark_benchmark: 939.7623, usercpu_time_millis: 180, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 100,
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: 940.2922, usercpu_time_millis: 7640, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 7590,
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: 926.6717, usercpu_time_millis: 3300, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3270,
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: 911.3823, usercpu_time_millis: 1720, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1700,
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: 936.6206, usercpu_time_millis: 1040, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1030,
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: 938.4278, usercpu_time_millis: 460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 450,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.8591, kappa: 0.1245, kb_relative_information_score: -1240.0261, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8533, predictive_accuracy: 0.8915, prior_entropy: 0.4871, recall: 0.8915, relative_absolute_error: 0.7908, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2777, root_relative_squared_error: 0.9034, scimark_benchmark: 911.0478, usercpu_time_millis: 1950, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1940,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, build_cpu_time: 51471.3226, build_memory: 693559235.3689, f_measure: 0.8634, kappa: 0.1817, kb_relative_information_score: -237.2488, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8536, predictive_accuracy: 0.8852, prior_entropy: 0.4871, recall: 0.8852, relative_absolute_error: 0.735, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.9521, scimark_benchmark: 943.2074,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5842, build_cpu_time: 23415.7205, build_memory: 1501957210.7821, f_measure: 0.86, kappa: 0.1656, kb_relative_information_score: 1266.0636, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8488, predictive_accuracy: 0.8812, prior_entropy: 0.4871, recall: 0.8812, relative_absolute_error: 0.6267, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3429, root_relative_squared_error: 1.1153, scimark_benchmark: 874.7324,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, build_cpu_time: 1308.319, build_memory: 1652308066.6795, f_measure: 0.8603, kappa: 0.1701, kb_relative_information_score: -188.8282, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8492, predictive_accuracy: 0.8806, prior_entropy: 0.4871, recall: 0.8806, relative_absolute_error: 0.7345, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.971, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, build_cpu_time: 17.3654, build_memory: 205984584.435, f_measure: 0.8604, kappa: 0.1901, kb_relative_information_score: -761.1913, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8503, predictive_accuracy: 0.8758, prior_entropy: 0.4871, recall: 0.8758, relative_absolute_error: 0.7817, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3032, root_relative_squared_error: 0.9862, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, build_cpu_time: 18.1201, build_memory: 769337154.4059, f_measure: 0.8604, kappa: 0.1901, kb_relative_information_score: -761.1913, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8503, predictive_accuracy: 0.8758, prior_entropy: 0.4871, recall: 0.8758, relative_absolute_error: 0.7817, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3032, root_relative_squared_error: 0.9862, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, build_cpu_time: 19.0996, build_memory: 851044635.7729, f_measure: 0.8603, kappa: 0.1898, kb_relative_information_score: -756.2258, mean_absolute_error: 0.1477, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8502, predictive_accuracy: 0.8756, prior_entropy: 0.4871, recall: 0.8756, relative_absolute_error: 0.7809, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.303, root_relative_squared_error: 0.9857, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, build_cpu_time: 12.6958, build_memory: 715049405.9426, f_measure: 0.861, kappa: 0.1902, kb_relative_information_score: -854.2575, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8508, predictive_accuracy: 0.8772, prior_entropy: 0.4871, recall: 0.8772, relative_absolute_error: 0.7856, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3021, root_relative_squared_error: 0.9826, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, build_cpu_time: 8.2248, build_memory: 516048191.2796, f_measure: 0.8622, kappa: 0.1936, kb_relative_information_score: -1037.6803, mean_absolute_error: 0.1508, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8521, predictive_accuracy: 0.8791, prior_entropy: 0.4871, recall: 0.8791, relative_absolute_error: 0.7974, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.9777, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7745, build_cpu_time: 5.7253, build_memory: 1451150361.895, f_measure: 0.8592, kappa: 0.1987, kb_relative_information_score: 514.2752, mean_absolute_error: 0.1298, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8505, predictive_accuracy: 0.8711, prior_entropy: 0.4871, recall: 0.8711, relative_absolute_error: 0.6865, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3412, root_relative_squared_error: 1.1099, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6465, build_cpu_time: 40.7412, build_memory: 157300737.3114, f_measure: 0.8586, kappa: 0.1641, kb_relative_information_score: 1083.275, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8471, predictive_accuracy: 0.878, prior_entropy: 0.4871, recall: 0.878, relative_absolute_error: 0.6424, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3427, root_relative_squared_error: 1.1148, scimark_benchmark: 937.9603,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs