OpenML
Supervised Classification on mfeat-pixel

Supervised Classification on mfeat-pixel

Task 1900 Supervised Classification mfeat-pixel 181 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9749, kappa: 0.9722, kb_relative_information_score: 19490.6828, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.0279, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2288, scimark_benchmark: 1343.2125, usercpu_time_millis: 9040, usercpu_time_millis_testing: 8090, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9749, kappa: 0.9722, kb_relative_information_score: 19490.6828, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.0279, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2288, scimark_benchmark: 1343.2125, usercpu_time_millis: 9500, usercpu_time_millis_testing: 8500, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.863, kappa: 0.848, kb_relative_information_score: 16982.4415, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8635, predictive_accuracy: 0.8632, prior_entropy: 3.3219, recall: 0.8632, relative_absolute_error: 0.1776, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.5312, scimark_benchmark: 1320.9026, usercpu_time_millis: 36800, usercpu_time_millis_training: 36800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.8903, kappa: 0.8782, kb_relative_information_score: 15424.4506, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8909, predictive_accuracy: 0.8904, prior_entropy: 3.3219, recall: 0.8904, relative_absolute_error: 0.3748, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.501, scimark_benchmark: 1342.2985, usercpu_time_millis: 12310, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 11940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.8851, kappa: 0.8725, kb_relative_information_score: 15403.52, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8856, predictive_accuracy: 0.8853, prior_entropy: 3.3219, recall: 0.8853, relative_absolute_error: 0.3742, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.505, scimark_benchmark: 1352.2099, usercpu_time_millis: 4150, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 4040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.7875, kappa: 0.7631, kb_relative_information_score: 15615.9302, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7893, predictive_accuracy: 0.7868, prior_entropy: 3.3219, recall: 0.7868, relative_absolute_error: 0.2619, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.6279, scimark_benchmark: 922.1419, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9465, kappa: 0.9407, kb_relative_information_score: 18841.4441, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9467, predictive_accuracy: 0.9466, prior_entropy: 3.3219, recall: 0.9466, relative_absolute_error: 0.0807, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.3042, scimark_benchmark: 1327.2954, usercpu_time_millis: 36260, usercpu_time_millis_testing: 760, usercpu_time_millis_training: 35500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.8315, kappa: 0.8128, kb_relative_information_score: 15484.8838, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8344, predictive_accuracy: 0.8315, prior_entropy: 3.3219, recall: 0.8315, relative_absolute_error: 0.3516, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.5317, scimark_benchmark: 1316.5986, usercpu_time_millis: 42080, usercpu_time_millis_training: 42080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.964, kappa: 0.9598, kb_relative_information_score: 19243.9173, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9644, predictive_accuracy: 0.9639, prior_entropy: 3.3219, recall: 0.9639, relative_absolute_error: 0.0402, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.085, root_relative_squared_error: 0.2834, scimark_benchmark: 937.1527, usercpu_time_millis: 42570, usercpu_time_millis_testing: 20330, usercpu_time_millis_training: 22240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.936, kappa: 0.9288, kb_relative_information_score: 18685.4508, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9371, predictive_accuracy: 0.9359, prior_entropy: 3.3219, recall: 0.9359, relative_absolute_error: 0.0711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.111, root_relative_squared_error: 0.37, scimark_benchmark: 939.5088, usercpu_time_millis: 330, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.7875, kappa: 0.7631, kb_relative_information_score: 15615.9302, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7893, predictive_accuracy: 0.7868, prior_entropy: 3.3219, recall: 0.7868, relative_absolute_error: 0.2619, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.6279, scimark_benchmark: 1371.9645, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9128, kappa: 0.9032, kb_relative_information_score: 17952.3378, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9132, predictive_accuracy: 0.9129, prior_entropy: 3.3219, recall: 0.9129, relative_absolute_error: 0.137, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1205, root_relative_squared_error: 0.4016, scimark_benchmark: 1281.7531, usercpu_time_millis: 8600, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 8580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.7875, kappa: 0.7631, kb_relative_information_score: 15615.9302, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7893, predictive_accuracy: 0.7868, prior_entropy: 3.3219, recall: 0.7868, relative_absolute_error: 0.2619, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.6279, scimark_benchmark: 1307.3764, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9614, kappa: 0.9574, kb_relative_information_score: 19215.2305, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9624, predictive_accuracy: 0.9617, prior_entropy: 3.3219, recall: 0.9617, relative_absolute_error: 0.0429, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0855, root_relative_squared_error: 0.285, scimark_benchmark: 1330.8781, usercpu_time_millis: 199220, usercpu_time_millis_testing: 199220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9617, kappa: 0.9577, kb_relative_information_score: 19199.907, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9626, predictive_accuracy: 0.962, prior_entropy: 3.3219, recall: 0.962, relative_absolute_error: 0.0464, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.2829, scimark_benchmark: 1298.4923, usercpu_time_millis: 4650, usercpu_time_millis_testing: 4650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8946, f_measure: 0.6066, kappa: 0.5576, kb_relative_information_score: 151.1915, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7024, predictive_accuracy: 0.6019, prior_entropy: 3.3219, recall: 0.6019, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.9981, scimark_benchmark: 1327.3602, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.867, kappa: 0.8527, kb_relative_information_score: 17226.6511, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8686, predictive_accuracy: 0.8674, prior_entropy: 3.3219, recall: 0.8674, relative_absolute_error: 0.1473, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.5428, scimark_benchmark: 1316.8289, usercpu_time_millis: 33670, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 33520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.109, kappa: 0.1037, kb_relative_information_score: 4439.8268, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0969, predictive_accuracy: 0.1933, prior_entropy: 3.3219, recall: 0.1933, relative_absolute_error: 0.9264, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.289, root_relative_squared_error: 0.9632, scimark_benchmark: 904.3681, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8618, kappa: 0.8465, kb_relative_information_score: 16899.5033, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8621, predictive_accuracy: 0.8619, prior_entropy: 3.3219, recall: 0.8619, relative_absolute_error: 0.1827, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.5318, scimark_benchmark: 1301.2156, usercpu_time_millis: 2420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.8891, kappa: 0.877, kb_relative_information_score: 15420.7066, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8897, predictive_accuracy: 0.8893, prior_entropy: 3.3219, recall: 0.8893, relative_absolute_error: 0.3745, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.5021, scimark_benchmark: 1324.5988, usercpu_time_millis: 5670, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 5500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9616, kappa: 0.9573, kb_relative_information_score: 19245.6241, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9618, predictive_accuracy: 0.9616, prior_entropy: 3.3219, recall: 0.9616, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0814, root_relative_squared_error: 0.2713, scimark_benchmark: 898.1296, usercpu_time_millis: 16280, usercpu_time_millis_training: 16280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9594, kappa: 0.9549, kb_relative_information_score: 19195.3161, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9596, predictive_accuracy: 0.9594, prior_entropy: 3.3219, recall: 0.9594, relative_absolute_error: 0.0508, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.2698, scimark_benchmark: 1316.8289, usercpu_time_millis: 12330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 12320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.8679, kappa: 0.8531, kb_relative_information_score: 15490.1903, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8687, predictive_accuracy: 0.8678, prior_entropy: 3.3219, recall: 0.8678, relative_absolute_error: 0.3519, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.5119, scimark_benchmark: 1310.6407, usercpu_time_millis: 11690, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 11640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.7875, kappa: 0.7631, kb_relative_information_score: 15615.9302, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7893, predictive_accuracy: 0.7868, prior_entropy: 3.3219, recall: 0.7868, relative_absolute_error: 0.2619, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.6279, scimark_benchmark: 1339.7143, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9351, kappa: 0.9277, kb_relative_information_score: 18665.8854, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9361, predictive_accuracy: 0.935, prior_entropy: 3.3219, recall: 0.935, relative_absolute_error: 0.0723, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1117, root_relative_squared_error: 0.3723, scimark_benchmark: 922.1419, usercpu_time_millis: 210, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9351, kappa: 0.9277, kb_relative_information_score: 18665.8854, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9361, predictive_accuracy: 0.935, prior_entropy: 3.3219, recall: 0.935, relative_absolute_error: 0.0723, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1117, root_relative_squared_error: 0.3723, scimark_benchmark: 1413.089, usercpu_time_millis: 590, usercpu_time_millis_testing: 580, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9388, kappa: 0.9319, kb_relative_information_score: 18787.8913, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9395, predictive_accuracy: 0.9388, prior_entropy: 3.3219, recall: 0.9388, relative_absolute_error: 0.0703, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1029, root_relative_squared_error: 0.343, scimark_benchmark: 1386.5717, usercpu_time_millis: 1123130, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 1123000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.5117, kappa: 0.5249, kb_relative_information_score: 8024.1346, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.5284, predictive_accuracy: 0.5724, prior_entropy: 3.3219, recall: 0.5724, relative_absolute_error: 0.7931, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2502, root_relative_squared_error: 0.8339, scimark_benchmark: 1358.4523, usercpu_time_millis: 177930, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 177860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8892, kappa: 0.8773, kb_relative_information_score: 3052.7215, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9027, predictive_accuracy: 0.8896, prior_entropy: 3.3219, recall: 0.8896, relative_absolute_error: 0.952, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.9536, scimark_benchmark: 1419.2433, usercpu_time_millis: 290, usercpu_time_millis_testing: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.5662, kappa: 0.4996, kb_relative_information_score: 8026.3606, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6354, predictive_accuracy: 0.5496, prior_entropy: 3.3219, recall: 0.5496, relative_absolute_error: 0.7354, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.246, root_relative_squared_error: 0.8201, scimark_benchmark: 1347.7065, usercpu_time_millis: 8520, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 8510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.8315, kappa: 0.8128, kb_relative_information_score: 15484.8838, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8344, predictive_accuracy: 0.8315, prior_entropy: 3.3219, recall: 0.8315, relative_absolute_error: 0.3516, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.5317, scimark_benchmark: 1341.468, usercpu_time_millis: 47310, usercpu_time_millis_training: 47310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.96, kappa: 0.9556, kb_relative_information_score: 19215.3671, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9603, predictive_accuracy: 0.96, prior_entropy: 3.3219, recall: 0.96, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0807, root_relative_squared_error: 0.269, scimark_benchmark: 924.3698, usercpu_time_millis: 1090920, usercpu_time_millis_testing: 870, usercpu_time_millis_training: 1090050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.8801, kappa: 0.8669, kb_relative_information_score: 15374.1082, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8804, predictive_accuracy: 0.8802, prior_entropy: 3.3219, recall: 0.8802, relative_absolute_error: 0.3746, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.5096, scimark_benchmark: 1344.3348, usercpu_time_millis: 1560, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.8702, kappa: 0.8559, kb_relative_information_score: 15316.2631, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8707, predictive_accuracy: 0.8703, prior_entropy: 3.3219, recall: 0.8703, relative_absolute_error: 0.375, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.5183, scimark_benchmark: 934.1747, usercpu_time_millis: 950, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9201, kappa: 0.9112, kb_relative_information_score: 17955.3245, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9204, predictive_accuracy: 0.9201, prior_entropy: 3.3219, recall: 0.9201, relative_absolute_error: 0.1609, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.3635, scimark_benchmark: 1343.4572, usercpu_time_millis: 1470, usercpu_time_millis_training: 1470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.8686, kappa: 0.8539, kb_relative_information_score: 15504.8141, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8693, predictive_accuracy: 0.8685, prior_entropy: 3.3219, recall: 0.8685, relative_absolute_error: 0.3516, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.5094, scimark_benchmark: 1331.1784, usercpu_time_millis: 25350, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 25290,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.7956, kappa: 0.7722, kb_relative_information_score: 15746.1272, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7973, predictive_accuracy: 0.795, prior_entropy: 3.3219, recall: 0.795, relative_absolute_error: 0.2553, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.616, scimark_benchmark: 1336.2509, usercpu_time_millis: 1460, usercpu_time_millis_training: 1460,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 19275.8472, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9639, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0743, root_relative_squared_error: 0.2477, scimark_benchmark: 882.7843, usercpu_time_millis: 11020, usercpu_time_millis_testing: 11020,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5711, f_measure: 0.1458, kappa: 0.1422, kb_relative_information_score: 3853.5043, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.1281, predictive_accuracy: 0.228, prior_entropy: 3.3219, recall: 0.228, relative_absolute_error: 0.8578, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3929, root_relative_squared_error: 1.3098, scimark_benchmark: 1465.2979, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.866, kappa: 0.8514, kb_relative_information_score: 17203.6445, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.866, predictive_accuracy: 0.8663, prior_entropy: 3.3219, recall: 0.8663, relative_absolute_error: 0.1486, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5451, scimark_benchmark: 1445.6675, usercpu_time_millis: 15820, usercpu_time_millis_training: 15820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 1054.3694, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.7875, kappa: 0.7631, kb_relative_information_score: 15615.9302, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7893, predictive_accuracy: 0.7868, prior_entropy: 3.3219, recall: 0.7868, relative_absolute_error: 0.2619, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.6279, scimark_benchmark: 1054.3694, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 239.9456, build_memory: 537852529.68, f_measure: 0.9624, kappa: 0.9583, kb_relative_information_score: 17755.2226, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9628, predictive_accuracy: 0.9625, prior_entropy: 3.3219, recall: 0.9625, relative_absolute_error: 0.2072, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0986, root_relative_squared_error: 0.3288, scimark_benchmark: 770.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 322.3704, build_memory: 339134777.36, f_measure: 0.9627, kappa: 0.9586, kb_relative_information_score: 17749.4447, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9631, predictive_accuracy: 0.9627, prior_entropy: 3.3219, recall: 0.9627, relative_absolute_error: 0.2083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.3272, scimark_benchmark: 913.1704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, build_cpu_time: 14.3115, build_memory: 689853660.32, f_measure: 0.8449, kappa: 0.8273, kb_relative_information_score: 16147.4897, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8458, predictive_accuracy: 0.8446, prior_entropy: 3.3219, recall: 0.8446, relative_absolute_error: 0.2839, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.4974, scimark_benchmark: 946.1541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, build_cpu_time: 9.7464, build_memory: 1225465515.04, f_measure: 0.8442, kappa: 0.8266, kb_relative_information_score: 16142.2454, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8451, predictive_accuracy: 0.844, prior_entropy: 3.3219, recall: 0.844, relative_absolute_error: 0.284, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.4984, scimark_benchmark: 913.7935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, build_cpu_time: 9.555, build_memory: 868024368.72, f_measure: 0.8442, kappa: 0.8266, kb_relative_information_score: 16142.2454, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8451, predictive_accuracy: 0.844, prior_entropy: 3.3219, recall: 0.844, relative_absolute_error: 0.284, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.4984, scimark_benchmark: 927.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, build_cpu_time: 4.0751, build_memory: 2295403176.56, f_measure: 0.8427, kappa: 0.8248, kb_relative_information_score: 16126.2424, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8437, predictive_accuracy: 0.8423, prior_entropy: 3.3219, recall: 0.8423, relative_absolute_error: 0.2844, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.5015, scimark_benchmark: 498.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, build_cpu_time: 2.0887, build_memory: 3969663462.24, f_measure: 0.8406, kappa: 0.8226, kb_relative_information_score: 16094.5627, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8415, predictive_accuracy: 0.8404, prior_entropy: 3.3219, recall: 0.8404, relative_absolute_error: 0.2847, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.508, scimark_benchmark: 910.6701,

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