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: 0.7593, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5376, f_measure: 0.8497, kappa: 0.0424, kb_relative_information_score: 1844.8928, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8496, predictive_accuracy: 0.8937, prior_entropy: 0.4871, recall: 0.8937, relative_absolute_error: 0.5676, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.323, root_relative_squared_error: 1.0506, scimark_benchmark: 1922.3298, usercpu_time_millis: 342156.25, usercpu_time_millis_testing: 843.75, usercpu_time_millis_training: 341312.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.6998, kappa: -0.027, kb_relative_information_score: -11749.5292, mean_absolute_error: 0.3678, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.803, predictive_accuracy: 0.6322, prior_entropy: 0.4871, recall: 0.6322, relative_absolute_error: 1.945, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.6065, root_relative_squared_error: 1.9727, scimark_benchmark: 1280.301, usercpu_time_millis: 22390.625, usercpu_time_millis_testing: 2656.25, usercpu_time_millis_training: 19734.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4629, f_measure: 0.7828, kappa: -0.0643, kb_relative_information_score: -4638.8587, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.7985, predictive_accuracy: 0.7682, prior_entropy: 0.4871, recall: 0.7682, relative_absolute_error: 1.2258, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.5661, scimark_benchmark: 1280.301, usercpu_time_millis: 33937.5, usercpu_time_millis_testing: 2421.875, usercpu_time_millis_training: 31515.625,
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: 1461.2356, usercpu_time_millis: 168656.25, usercpu_time_millis_testing: 39593.75, usercpu_time_millis_training: 129062.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4631, f_measure: 0.8103, kappa: -0.0884, kb_relative_information_score: -1495.6349, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.7931, predictive_accuracy: 0.8283, prior_entropy: 0.4871, recall: 0.8283, relative_absolute_error: 0.9078, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.4143, root_relative_squared_error: 1.3478, scimark_benchmark: 1461.2356, usercpu_time_millis: 15062.5, usercpu_time_millis_testing: 5593.75, usercpu_time_millis_training: 9468.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.8444, kb_relative_information_score: -1141.0077, mean_absolute_error: 0.1497, 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: 0.7916, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2907, root_relative_squared_error: 0.9456, scimark_benchmark: 1862.8608, usercpu_time_millis: 252359.375, usercpu_time_millis_testing: 1046.875, usercpu_time_millis_training: 251312.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.8444, kb_relative_information_score: -1141.0077, mean_absolute_error: 0.1497, 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: 0.7916, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2907, root_relative_squared_error: 0.9456, scimark_benchmark: 1787.9841, usercpu_time_millis: 256531.25, usercpu_time_millis_testing: 953.125, usercpu_time_millis_training: 255578.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.8444, kb_relative_information_score: -1141.0077, mean_absolute_error: 0.1497, 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: 0.7916, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2907, root_relative_squared_error: 0.9456, scimark_benchmark: 1684.696, usercpu_time_millis: 256140, usercpu_time_millis_testing: 740, usercpu_time_millis_training: 255400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4631, f_measure: 0.8103, kappa: -0.0884, kb_relative_information_score: -1495.6349, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.7931, predictive_accuracy: 0.8283, prior_entropy: 0.4871, recall: 0.8283, relative_absolute_error: 0.9078, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.4143, root_relative_squared_error: 1.3478, scimark_benchmark: 1386.1046, usercpu_time_millis: 28480, usercpu_time_millis_testing: 6630, usercpu_time_millis_training: 21850,
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: 1682.6654, usercpu_time_millis: 253690, usercpu_time_millis_testing: 52400, usercpu_time_millis_training: 201290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.6998, kappa: -0.027, kb_relative_information_score: -11749.5292, mean_absolute_error: 0.3678, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.803, predictive_accuracy: 0.6322, prior_entropy: 0.4871, recall: 0.6322, relative_absolute_error: 1.945, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.6065, root_relative_squared_error: 1.9727, scimark_benchmark: 1714.1616, usercpu_time_millis: 28180, usercpu_time_millis_testing: 5450, usercpu_time_millis_training: 22730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4629, f_measure: 0.7828, kappa: -0.0643, kb_relative_information_score: -4638.8587, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.7985, predictive_accuracy: 0.7682, prior_entropy: 0.4871, recall: 0.7682, relative_absolute_error: 1.2258, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.5661, scimark_benchmark: 1632.7657, usercpu_time_millis: 47020, usercpu_time_millis_testing: 3030, usercpu_time_millis_training: 43990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5445, f_measure: 0.8484, kappa: 0.0316, kb_relative_information_score: 1856.7928, mean_absolute_error: 0.1071, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8486, predictive_accuracy: 0.8938, prior_entropy: 0.4871, recall: 0.8938, relative_absolute_error: 0.5664, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3223, root_relative_squared_error: 1.0484, scimark_benchmark: 1665.974, usercpu_time_millis: 31671.875, usercpu_time_millis_testing: 1031.25, usercpu_time_millis_training: 30640.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7264, f_measure: 0.8511, kappa: 0.0523, kb_relative_information_score: 1881.3611, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8535, predictive_accuracy: 0.8941, prior_entropy: 0.4871, recall: 0.8941, relative_absolute_error: 0.57, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3201, root_relative_squared_error: 1.0411, scimark_benchmark: 1362.5474, usercpu_time_millis: 2006950, usercpu_time_millis_testing: 2380, usercpu_time_millis_training: 2004570,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5169, f_measure: 0.8518, kappa: 0.0571, kb_relative_information_score: 1968.8961, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8573, predictive_accuracy: 0.8946, prior_entropy: 0.4871, recall: 0.8946, relative_absolute_error: 0.5574, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3247, root_relative_squared_error: 1.0561, scimark_benchmark: 1007.546, usercpu_time_millis: 1391530, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1391490,
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: 1328.2555, usercpu_time_millis: 220, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7873, f_measure: 0.8444, kb_relative_information_score: -1255.0009, mean_absolute_error: 0.1531, 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: 0.8096, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2883, root_relative_squared_error: 0.9379, scimark_benchmark: 1364.4725, usercpu_time_millis: 34300, usercpu_time_millis_testing: 710, usercpu_time_millis_training: 33590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.8592, kappa: 0.1327, kb_relative_information_score: -1365.5201, mean_absolute_error: 0.1525, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8505, predictive_accuracy: 0.889, prior_entropy: 0.4871, recall: 0.889, relative_absolute_error: 0.8064, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.287, root_relative_squared_error: 0.9335, scimark_benchmark: 1250.1405, usercpu_time_millis: 17000, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 16960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5826, f_measure: 0.8424, kappa: 0.1653, kb_relative_information_score: -757.4784, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8422, predictive_accuracy: 0.8425, prior_entropy: 0.4871, recall: 0.8425, relative_absolute_error: 0.8335, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3968, root_relative_squared_error: 1.2908, scimark_benchmark: 1278.9985, usercpu_time_millis: 16960, usercpu_time_millis_testing: 16910, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.8451, kappa: 0.0063, kb_relative_information_score: -1867.3103, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8303, predictive_accuracy: 0.8935, prior_entropy: 0.4871, recall: 0.8935, relative_absolute_error: 0.8182, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.9081, scimark_benchmark: 1199.173, usercpu_time_millis: 3360, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5497, f_measure: 0.8597, kappa: 0.1289, kb_relative_information_score: 127.0245, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8538, predictive_accuracy: 0.8915, prior_entropy: 0.4871, recall: 0.8915, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3032, root_relative_squared_error: 0.9863, scimark_benchmark: 913.8316, usercpu_time_millis: 830, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5747, f_measure: 0.8635, kappa: 0.1934, kb_relative_information_score: 1326.2815, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8535, predictive_accuracy: 0.8823, prior_entropy: 0.4871, recall: 0.8823, relative_absolute_error: 0.6224, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3431, root_relative_squared_error: 1.116, scimark_benchmark: 1618.1738, usercpu_time_millis: 2875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 2843.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.8547, kappa: 0.0875, kb_relative_information_score: -1883.4075, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8489, predictive_accuracy: 0.8917, prior_entropy: 0.4871, recall: 0.8917, relative_absolute_error: 0.8236, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9358, scimark_benchmark: 1925.3565, usercpu_time_millis: 203.125, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.8518, kappa: 0.0553, kb_relative_information_score: -1542.2748, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8642, predictive_accuracy: 0.8954, prior_entropy: 0.4871, recall: 0.8954, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.9226, scimark_benchmark: 1925.3565, usercpu_time_millis: 2531.25, usercpu_time_millis_testing: 562.5, usercpu_time_millis_training: 1968.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5828, f_measure: 0.8444, kb_relative_information_score: -679.3817, mean_absolute_error: 0.1798, 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: 0.951, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3055, root_relative_squared_error: 0.9938, scimark_benchmark: 1925.3565, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.8585, kappa: 0.1036, kb_relative_information_score: -2092.7336, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8735, predictive_accuracy: 0.8975, prior_entropy: 0.4871, recall: 0.8975, relative_absolute_error: 0.8171, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.281, root_relative_squared_error: 0.914, scimark_benchmark: 1925.3565, usercpu_time_millis: 218.75, usercpu_time_millis_training: 218.75,
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: 1925.3565, usercpu_time_millis: 140.625, usercpu_time_millis_testing: 93.75, usercpu_time_millis_training: 46.875,
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: 1925.3565, usercpu_time_millis: 555484.375, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 555453.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5747, f_measure: 0.8635, kappa: 0.1934, kb_relative_information_score: 1326.2815, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8535, predictive_accuracy: 0.8823, prior_entropy: 0.4871, recall: 0.8823, relative_absolute_error: 0.6224, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3431, root_relative_squared_error: 1.116, scimark_benchmark: 1925.3565, usercpu_time_millis: 2140.625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.8444, kb_relative_information_score: -1144.7241, mean_absolute_error: 0.149, 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: 0.7877, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2864, root_relative_squared_error: 0.9317, scimark_benchmark: 1925.3565, usercpu_time_millis: 22640.625, usercpu_time_millis_testing: 812.5, usercpu_time_millis_training: 21828.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.859, kappa: 0.131, kb_relative_information_score: -1363.7091, mean_absolute_error: 0.1525, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8501, predictive_accuracy: 0.8888, prior_entropy: 0.4871, recall: 0.8888, relative_absolute_error: 0.8064, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.287, root_relative_squared_error: 0.9335, scimark_benchmark: 1925.3565, usercpu_time_millis: 9640.625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 9625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5826, f_measure: 0.8424, kappa: 0.1653, kb_relative_information_score: -757.4784, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8422, predictive_accuracy: 0.8425, prior_entropy: 0.4871, recall: 0.8425, relative_absolute_error: 0.8335, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3968, root_relative_squared_error: 1.2908, scimark_benchmark: 1925.3565, usercpu_time_millis: 13765.625, usercpu_time_millis_testing: 13734.375, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.8451, kappa: 0.0063, kb_relative_information_score: -1867.3103, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8303, predictive_accuracy: 0.8935, prior_entropy: 0.4871, recall: 0.8935, relative_absolute_error: 0.8182, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.9081, scimark_benchmark: 1892.0925, usercpu_time_millis: 3359.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 3343.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5457, f_measure: 0.8604, kappa: 0.1262, kb_relative_information_score: 223.6085, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8603, predictive_accuracy: 0.8946, prior_entropy: 0.4871, recall: 0.8946, relative_absolute_error: 0.9536, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.9846, scimark_benchmark: 1892.0925, usercpu_time_millis: 437.5, usercpu_time_millis_training: 437.5,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.8546, kappa: 0.0872, kb_relative_information_score: -1871.2499, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8485, predictive_accuracy: 0.8915, prior_entropy: 0.4871, recall: 0.8915, relative_absolute_error: 0.8234, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.9361, scimark_benchmark: 1806.5905, usercpu_time_millis: 920.4059, usercpu_time_millis_testing: 140.4009, usercpu_time_millis_training: 780.005,
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: 1806.5905, usercpu_time_millis: 2246.4144, usercpu_time_millis_testing: 624.004, usercpu_time_millis_training: 1622.4104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.8558, kappa: 0.0917, kb_relative_information_score: -1829.12, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8542, predictive_accuracy: 0.8934, prior_entropy: 0.4871, recall: 0.8934, relative_absolute_error: 0.8201, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.9415, scimark_benchmark: 1806.5905, usercpu_time_millis: 3822.0245, usercpu_time_millis_testing: 3712.8238, usercpu_time_millis_training: 109.2007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5826, f_measure: 0.8424, kappa: 0.1653, kb_relative_information_score: -757.4784, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8422, predictive_accuracy: 0.8425, prior_entropy: 0.4871, recall: 0.8425, relative_absolute_error: 0.8335, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3968, root_relative_squared_error: 1.2908, scimark_benchmark: 1806.5905, usercpu_time_millis: 16224.104, usercpu_time_millis_testing: 16224.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7296, kappa: 0.2261, kb_relative_information_score: -10816.1854, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.1891, number_of_instances: 7485, precision: 0.8982, predictive_accuracy: 0.6652, prior_entropy: 0.4871, recall: 0.6652, relative_absolute_error: 1.7826, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.5534, root_relative_squared_error: 1.8, scimark_benchmark: 1877.5305, usercpu_time_millis: 93.6006, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 78.0005,
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: 1850.8887, usercpu_time_millis: 124.8008, usercpu_time_millis_testing: 93.6006, usercpu_time_millis_training: 31.2002,
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: 1850.8887,
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: 906.0979,
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: 972.587, usercpu_time_millis: 940, usercpu_time_millis_training: 940,
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: 851.2074, usercpu_time_millis: 13810, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 13800,
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: 942.2392,
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: 941.6675, usercpu_time_millis: 320, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 220,
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: 938.191, usercpu_time_millis: 430, usercpu_time_millis_testing: 320, 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: 934.695,
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: 942.2392,
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: 905.2959,
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: 927.2917, usercpu_time_millis: 36690, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 36320,
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: 941.3847, usercpu_time_millis: 204300, usercpu_time_millis_testing: 39600, usercpu_time_millis_training: 164700,
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: 932.438, usercpu_time_millis: 160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, 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: 941.3847, usercpu_time_millis: 370, usercpu_time_millis_testing: 270, 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: 941.3847, usercpu_time_millis: 390, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, 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: 938.5498, usercpu_time_millis: 39060, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 38710,
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: 943.1009, usercpu_time_millis: 2760, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 2360,
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: 819.5729, usercpu_time_millis: 330, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 310,
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: 901.6243, usercpu_time_millis: 970, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 960,
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: 944.0133, usercpu_time_millis: 14090, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 14080,
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: 932.438, usercpu_time_millis: 202510, usercpu_time_millis_testing: 43040, usercpu_time_millis_training: 159470,
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: 945.6228, usercpu_time_millis: 4411070, usercpu_time_millis_testing: 108480, usercpu_time_millis_training: 4302590,
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: 938.1282, usercpu_time_millis: 440, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 130,
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: 930.404, usercpu_time_millis: 440, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 110,

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