OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32334 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9679, kappa: 0.9213, kb_relative_information_score: 29632.4731, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9679, predictive_accuracy: 0.968, prior_entropy: 0.863, recall: 0.968, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.3523, scimark_benchmark: 1275.2528, usercpu_time_millis: 2364.873, usercpu_time_millis_testing: 22.28, usercpu_time_millis_training: 2342.593,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9468, kappa: 0.8689, kb_relative_information_score: 26108.2589, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9468, predictive_accuracy: 0.9472, prior_entropy: 0.863, recall: 0.9472, relative_absolute_error: 0.2597, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4518, scimark_benchmark: 1267.492, usercpu_time_millis: 2235.801, usercpu_time_millis_testing: 53.012, usercpu_time_millis_training: 2182.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9525, kappa: 0.883, kb_relative_information_score: 26519.3565, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9525, predictive_accuracy: 0.9528, prior_entropy: 0.863, recall: 0.9528, relative_absolute_error: 0.2501, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.433, scimark_benchmark: 1265.835, usercpu_time_millis: 2987.668, usercpu_time_millis_testing: 93.896, usercpu_time_millis_training: 2893.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9454, kappa: 0.8653, kb_relative_information_score: 26190.2755, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9453, predictive_accuracy: 0.9457, prior_entropy: 0.863, recall: 0.9457, relative_absolute_error: 0.2548, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.4547, scimark_benchmark: 1253.6645, usercpu_time_millis: 3472.477, usercpu_time_millis_testing: 55.757, usercpu_time_millis_training: 3416.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9167, kappa: 0.7906, kb_relative_information_score: 23582.4071, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9215, predictive_accuracy: 0.9195, prior_entropy: 0.863, recall: 0.9195, relative_absolute_error: 0.3387, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2363, root_relative_squared_error: 0.5231, scimark_benchmark: 1313.1372, usercpu_time_millis: 1070.718, usercpu_time_millis_testing: 20.019, usercpu_time_millis_training: 1050.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9236, kappa: 0.8086, kb_relative_information_score: 24429.5634, mean_absolute_error: 0.1255, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9266, predictive_accuracy: 0.9257, prior_entropy: 0.863, recall: 0.9257, relative_absolute_error: 0.3075, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.229, root_relative_squared_error: 0.5069, scimark_benchmark: 1276.5455, usercpu_time_millis: 1267.124, usercpu_time_millis_testing: 19.145, usercpu_time_millis_training: 1247.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9431, kappa: 0.8588, kb_relative_information_score: 23962.9867, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9437, predictive_accuracy: 0.9439, prior_entropy: 0.863, recall: 0.9439, relative_absolute_error: 0.337, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.22, root_relative_squared_error: 0.487, scimark_benchmark: 1308.5888, usercpu_time_millis: 44.857, usercpu_time_millis_testing: 3.3, usercpu_time_millis_training: 41.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9341, kappa: 0.8365, kb_relative_information_score: 25227.969, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9345, predictive_accuracy: 0.935, prior_entropy: 0.863, recall: 0.935, relative_absolute_error: 0.2811, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.4909, scimark_benchmark: 1269.1626, usercpu_time_millis: 4593.674, usercpu_time_millis_testing: 60.159, usercpu_time_millis_training: 4533.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9656, kappa: 0.9157, kb_relative_information_score: 29458.9994, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9656, predictive_accuracy: 0.9657, prior_entropy: 0.863, recall: 0.9657, relative_absolute_error: 0.1538, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3603, scimark_benchmark: 1301.0718, usercpu_time_millis: 2962.617, usercpu_time_millis_testing: 23.44, usercpu_time_millis_training: 2939.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.964, kappa: 0.9115, kb_relative_information_score: 28497.9952, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.964, predictive_accuracy: 0.9641, prior_entropy: 0.863, recall: 0.9641, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.3747, scimark_benchmark: 1262.5249, usercpu_time_millis: 992.415, usercpu_time_millis_testing: 39.251, usercpu_time_millis_training: 953.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.95, kappa: 0.8769, kb_relative_information_score: 26693.7825, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9499, predictive_accuracy: 0.9502, prior_entropy: 0.863, recall: 0.9502, relative_absolute_error: 0.2399, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.4399, scimark_benchmark: 1267.2358, usercpu_time_millis: 1301.964, usercpu_time_millis_testing: 35.601, usercpu_time_millis_training: 1266.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9532, kappa: 0.8851, kb_relative_information_score: 27156.0045, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9532, predictive_accuracy: 0.9533, prior_entropy: 0.863, recall: 0.9533, relative_absolute_error: 0.2252, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.4275, scimark_benchmark: 1216.2366, usercpu_time_millis: 4250.957, usercpu_time_millis_testing: 102.193, usercpu_time_millis_training: 4148.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9458, kappa: 0.8668, kb_relative_information_score: 26796.5005, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9457, predictive_accuracy: 0.946, prior_entropy: 0.863, recall: 0.946, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.4509, scimark_benchmark: 1291.6159, usercpu_time_millis: 69.159, usercpu_time_millis_testing: 4.448, usercpu_time_millis_training: 64.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9637, kappa: 0.911, kb_relative_information_score: 28858.6127, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9637, predictive_accuracy: 0.9638, prior_entropy: 0.863, recall: 0.9638, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.3738, scimark_benchmark: 1258.0505, usercpu_time_millis: 455.761, usercpu_time_millis_testing: 15.071, usercpu_time_millis_training: 440.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9288, kappa: 0.8213, kb_relative_information_score: 19185.0975, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9333, predictive_accuracy: 0.9311, prior_entropy: 0.863, recall: 0.9311, relative_absolute_error: 0.5033, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2624, root_relative_squared_error: 0.581, scimark_benchmark: 1303.0475, usercpu_time_millis: 394.542, usercpu_time_millis_testing: 29.476, usercpu_time_millis_training: 365.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9584, kappa: 0.898, kb_relative_information_score: 28264.5952, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9584, predictive_accuracy: 0.9585, prior_entropy: 0.863, recall: 0.9585, relative_absolute_error: 0.1896, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3996, scimark_benchmark: 1257.7904, usercpu_time_millis: 7041.521, usercpu_time_millis_testing: 57.465, usercpu_time_millis_training: 6984.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9671, kappa: 0.9193, kb_relative_information_score: 29356.9034, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9671, predictive_accuracy: 0.9672, prior_entropy: 0.863, recall: 0.9672, relative_absolute_error: 0.1592, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.3563, scimark_benchmark: 1263.7633, usercpu_time_millis: 477.019, usercpu_time_millis_testing: 14.372, usercpu_time_millis_training: 462.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9555, kappa: 0.8909, kb_relative_information_score: 27807.1298, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9555, predictive_accuracy: 0.9556, prior_entropy: 0.863, recall: 0.9556, relative_absolute_error: 0.2035, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.4133, scimark_benchmark: 1282.8739, usercpu_time_millis: 4726.809, usercpu_time_millis_testing: 49.435, usercpu_time_millis_training: 4677.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9571, kappa: 0.8946, kb_relative_information_score: 27575.3879, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9571, predictive_accuracy: 0.9573, prior_entropy: 0.863, recall: 0.9573, relative_absolute_error: 0.2148, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.409, scimark_benchmark: 1252.8671, usercpu_time_millis: 2691.561, usercpu_time_millis_testing: 84.005, usercpu_time_millis_training: 2607.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9516, kappa: 0.8806, kb_relative_information_score: 26456.4646, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9516, predictive_accuracy: 0.9519, prior_entropy: 0.863, recall: 0.9519, relative_absolute_error: 0.2513, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.4364, scimark_benchmark: 1265.9812, usercpu_time_millis: 3598.416, usercpu_time_millis_testing: 86.509, usercpu_time_millis_training: 3511.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9452, kappa: 0.865, kb_relative_information_score: 26426.219, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9452, predictive_accuracy: 0.9456, prior_entropy: 0.863, recall: 0.9456, relative_absolute_error: 0.2456, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.4534, scimark_benchmark: 1280.2528, usercpu_time_millis: 179.606, usercpu_time_millis_testing: 5.691, usercpu_time_millis_training: 173.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.956, kappa: 0.892, kb_relative_information_score: 27590.1178, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.956, predictive_accuracy: 0.9562, prior_entropy: 0.863, recall: 0.9562, relative_absolute_error: 0.2123, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.4137, scimark_benchmark: 1261.9278, usercpu_time_millis: 3577.4, usercpu_time_millis_testing: 86.247, usercpu_time_millis_training: 3491.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9543, kappa: 0.8876, kb_relative_information_score: 27383.7497, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9542, predictive_accuracy: 0.9544, prior_entropy: 0.863, recall: 0.9544, relative_absolute_error: 0.218, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.422, scimark_benchmark: 1258.2489, usercpu_time_millis: 72.258, usercpu_time_millis_testing: 4.718, usercpu_time_millis_training: 67.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9543, kappa: 0.8877, kb_relative_information_score: 27619.2244, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9542, predictive_accuracy: 0.9544, prior_entropy: 0.863, recall: 0.9544, relative_absolute_error: 0.2105, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.4175, scimark_benchmark: 1293.2099, usercpu_time_millis: 352.24, usercpu_time_millis_testing: 13.874, usercpu_time_millis_training: 338.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9299, kappa: 0.8252, kb_relative_information_score: 24086.2147, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9313, predictive_accuracy: 0.9313, prior_entropy: 0.863, recall: 0.9313, relative_absolute_error: 0.3238, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.5033, scimark_benchmark: 1293.8172, usercpu_time_millis: 1132.983, usercpu_time_millis_testing: 24.07, usercpu_time_millis_training: 1108.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9353, kappa: 0.8396, kb_relative_information_score: 25379.5667, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9357, predictive_accuracy: 0.9361, prior_entropy: 0.863, recall: 0.9361, relative_absolute_error: 0.2769, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.4865, scimark_benchmark: 1307.8103, usercpu_time_millis: 1789.382, usercpu_time_millis_testing: 51.033, usercpu_time_millis_training: 1738.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9592, kappa: 0.8996, kb_relative_information_score: 27837.5288, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9592, predictive_accuracy: 0.9594, prior_entropy: 0.863, recall: 0.9594, relative_absolute_error: 0.2089, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.3971, scimark_benchmark: 1260.0839, usercpu_time_millis: 791.547, usercpu_time_millis_testing: 48.273, usercpu_time_millis_training: 743.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9152, kappa: 0.7878, kb_relative_information_score: 21329.5023, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9176, predictive_accuracy: 0.9174, prior_entropy: 0.863, recall: 0.9174, relative_absolute_error: 0.4098, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2521, root_relative_squared_error: 0.5582, scimark_benchmark: 1306.7393, usercpu_time_millis: 249.71, usercpu_time_millis_testing: 7.847, usercpu_time_millis_training: 241.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9634, kappa: 0.9098, kb_relative_information_score: 27817.159, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9634, predictive_accuracy: 0.9636, prior_entropy: 0.863, recall: 0.9636, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.3842, scimark_benchmark: 1258.2698, usercpu_time_millis: 1424.923, usercpu_time_millis_testing: 67.9, usercpu_time_millis_training: 1357.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9567, kappa: 0.8938, kb_relative_information_score: 28094.1, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9566, predictive_accuracy: 0.9567, prior_entropy: 0.863, recall: 0.9567, relative_absolute_error: 0.1945, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.4056, scimark_benchmark: 1240.9477, usercpu_time_millis: 5850.11, usercpu_time_millis_testing: 63.884, usercpu_time_millis_training: 5786.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9687, kappa: 0.9233, kb_relative_information_score: 29645.9968, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9687, predictive_accuracy: 0.9688, prior_entropy: 0.863, recall: 0.9688, relative_absolute_error: 0.1497, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.3485, scimark_benchmark: 1283.707, usercpu_time_millis: 576.619, usercpu_time_millis_testing: 13.261, usercpu_time_millis_training: 563.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.955, kappa: 0.889, kb_relative_information_score: 26661.5578, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9551, predictive_accuracy: 0.9553, prior_entropy: 0.863, recall: 0.9553, relative_absolute_error: 0.2488, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.4226, scimark_benchmark: 1242.8978, usercpu_time_millis: 2820.048, usercpu_time_millis_testing: 127.213, usercpu_time_millis_training: 2692.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9142, kappa: 0.7835, kb_relative_information_score: 17719.4544, mean_absolute_error: 0.2216, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9208, predictive_accuracy: 0.9176, prior_entropy: 0.863, recall: 0.9176, relative_absolute_error: 0.5429, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2785, root_relative_squared_error: 0.6166, scimark_benchmark: 1295.6581, usercpu_time_millis: 890.712, usercpu_time_millis_testing: 67.672, usercpu_time_millis_training: 823.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9675, kappa: 0.9203, kb_relative_information_score: 29682.8037, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9675, predictive_accuracy: 0.9675, prior_entropy: 0.863, recall: 0.9675, relative_absolute_error: 0.1474, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.3527, scimark_benchmark: 1283.2951, usercpu_time_millis: 7477.939, usercpu_time_millis_testing: 68.326, usercpu_time_millis_training: 7409.613,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9684, kappa: 0.9224, kb_relative_information_score: 29751.6831, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9684, predictive_accuracy: 0.9684, prior_entropy: 0.863, recall: 0.9684, relative_absolute_error: 0.146, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.3474, scimark_benchmark: 1299.1459, usercpu_time_millis: 3692.736, usercpu_time_millis_testing: 38.138, usercpu_time_millis_training: 3654.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9562, kappa: 0.8918, kb_relative_information_score: 25406.4513, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9566, predictive_accuracy: 0.9567, prior_entropy: 0.863, recall: 0.9567, relative_absolute_error: 0.2979, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.438, scimark_benchmark: 1307.1264, usercpu_time_millis: 1342.258, usercpu_time_millis_testing: 92.865, usercpu_time_millis_training: 1249.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9596, kappa: 0.9006, kb_relative_information_score: 27760.7155, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9596, predictive_accuracy: 0.9598, prior_entropy: 0.863, recall: 0.9598, relative_absolute_error: 0.2122, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.3974, scimark_benchmark: 1307.2267, usercpu_time_millis: 1334.893, usercpu_time_millis_testing: 66.127, usercpu_time_millis_training: 1268.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9597, kappa: 0.9009, kb_relative_information_score: 28131.3542, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9596, predictive_accuracy: 0.9598, prior_entropy: 0.863, recall: 0.9598, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.3946, scimark_benchmark: 1247.7441, usercpu_time_millis: 934.982, usercpu_time_millis_testing: 18.78, usercpu_time_millis_training: 916.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9451, kappa: 0.8649, kb_relative_information_score: 26625.2333, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.945, predictive_accuracy: 0.9454, prior_entropy: 0.863, recall: 0.9454, relative_absolute_error: 0.238, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.4513, scimark_benchmark: 1279.3182, usercpu_time_millis: 3472.73, usercpu_time_millis_testing: 44.167, usercpu_time_millis_training: 3428.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.944, kappa: 0.8621, kb_relative_information_score: 26461.0236, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9439, predictive_accuracy: 0.9442, prior_entropy: 0.863, recall: 0.9442, relative_absolute_error: 0.2424, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.4559, scimark_benchmark: 1310.9067, usercpu_time_millis: 508.065, usercpu_time_millis_testing: 6.566, usercpu_time_millis_training: 501.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9527, kappa: 0.8834, kb_relative_information_score: 26641.1504, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9527, predictive_accuracy: 0.953, prior_entropy: 0.863, recall: 0.953, relative_absolute_error: 0.2463, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.4301, scimark_benchmark: 1257.9817, usercpu_time_millis: 2510.057, usercpu_time_millis_testing: 82.633, usercpu_time_millis_training: 2427.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9499, kappa: 0.8765, kb_relative_information_score: 26690.2157, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9498, predictive_accuracy: 0.9501, prior_entropy: 0.863, recall: 0.9501, relative_absolute_error: 0.2406, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.4393, scimark_benchmark: 1261.5566, usercpu_time_millis: 873.5, usercpu_time_millis_testing: 31.94, usercpu_time_millis_training: 841.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9538, kappa: 0.8864, kb_relative_information_score: 27189.3154, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.954, prior_entropy: 0.863, recall: 0.954, relative_absolute_error: 0.2254, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.4238, scimark_benchmark: 1304.0012, usercpu_time_millis: 465.333, usercpu_time_millis_testing: 14.625, usercpu_time_millis_training: 450.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9411, kappa: 0.8543, kb_relative_information_score: 25354.296, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9414, predictive_accuracy: 0.9418, prior_entropy: 0.863, recall: 0.9418, relative_absolute_error: 0.2829, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.4719, scimark_benchmark: 1250.4689, usercpu_time_millis: 4221.231, usercpu_time_millis_testing: 82.971, usercpu_time_millis_training: 4138.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9645, kappa: 0.9128, kb_relative_information_score: 29055.0242, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9645, predictive_accuracy: 0.9646, prior_entropy: 0.863, recall: 0.9646, relative_absolute_error: 0.1685, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.3661, scimark_benchmark: 1253.4503, usercpu_time_millis: 673.738, usercpu_time_millis_testing: 18.68, usercpu_time_millis_training: 655.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9599, kappa: 0.9017, kb_relative_information_score: 28541.4328, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9599, predictive_accuracy: 0.96, prior_entropy: 0.863, recall: 0.96, relative_absolute_error: 0.1818, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.3902, scimark_benchmark: 1257.1671, usercpu_time_millis: 2253.48, usercpu_time_millis_testing: 23.081, usercpu_time_millis_training: 2230.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9606, kappa: 0.9032, kb_relative_information_score: 28525.8612, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9605, predictive_accuracy: 0.9606, prior_entropy: 0.863, recall: 0.9606, relative_absolute_error: 0.1831, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.3872, scimark_benchmark: 1271.1839, usercpu_time_millis: 7059.5, usercpu_time_millis_testing: 109.512, usercpu_time_millis_training: 6949.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9608, kappa: 0.9035, kb_relative_information_score: 27578.3899, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9608, predictive_accuracy: 0.961, prior_entropy: 0.863, recall: 0.961, relative_absolute_error: 0.2207, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3955, scimark_benchmark: 1285.1134, usercpu_time_millis: 558.45, usercpu_time_millis_testing: 35.549, usercpu_time_millis_training: 522.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9592, kappa: 0.8998, kb_relative_information_score: 28004.6959, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9592, predictive_accuracy: 0.9594, prior_entropy: 0.863, recall: 0.9594, relative_absolute_error: 0.2013, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.3974, scimark_benchmark: 1306.2952, usercpu_time_millis: 507.115, usercpu_time_millis_testing: 12.044, usercpu_time_millis_training: 495.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.949, kappa: 0.8749, kb_relative_information_score: 26975.3846, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.949, predictive_accuracy: 0.9491, prior_entropy: 0.863, recall: 0.9491, relative_absolute_error: 0.2281, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.4409, scimark_benchmark: 1300.7361, usercpu_time_millis: 5470.745, usercpu_time_millis_testing: 50.993, usercpu_time_millis_training: 5419.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.8655, kappa: 0.6696, kb_relative_information_score: 15791.4068, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8652, predictive_accuracy: 0.8659, prior_entropy: 0.863, recall: 0.8659, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3089, root_relative_squared_error: 0.6839, scimark_benchmark: 1299.9057, usercpu_time_millis: 560.484, usercpu_time_millis_testing: 34.827, usercpu_time_millis_training: 525.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9547, kappa: 0.8884, kb_relative_information_score: 26766.1356, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9547, predictive_accuracy: 0.955, prior_entropy: 0.863, recall: 0.955, relative_absolute_error: 0.2433, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4243, scimark_benchmark: 1265.1525, usercpu_time_millis: 1252.324, usercpu_time_millis_testing: 49.955, usercpu_time_millis_training: 1202.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9638, kappa: 0.9109, kb_relative_information_score: 27796.5757, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9639, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.2155, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.3849, scimark_benchmark: 1266.1569, usercpu_time_millis: 304.001, usercpu_time_millis_testing: 16.245, usercpu_time_millis_training: 287.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9576, kappa: 0.8953, kb_relative_information_score: 26460.6912, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9577, predictive_accuracy: 0.9579, prior_entropy: 0.863, recall: 0.9579, relative_absolute_error: 0.2583, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.4215, scimark_benchmark: 1253.7674, usercpu_time_millis: 2659.329, usercpu_time_millis_testing: 140.927, usercpu_time_millis_training: 2518.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9256, kappa: 0.8142, kb_relative_information_score: 23993.8008, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9277, predictive_accuracy: 0.9274, prior_entropy: 0.863, recall: 0.9274, relative_absolute_error: 0.3259, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.5078, scimark_benchmark: 1268.8523, usercpu_time_millis: 3501.517, usercpu_time_millis_testing: 64.016, usercpu_time_millis_training: 3437.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9616, kappa: 0.9056, kb_relative_information_score: 28425.122, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9616, predictive_accuracy: 0.9617, prior_entropy: 0.863, recall: 0.9617, relative_absolute_error: 0.1888, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.3841, scimark_benchmark: 1263.9245, usercpu_time_millis: 718.462, usercpu_time_millis_testing: 34.312, usercpu_time_millis_training: 684.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9564, kappa: 0.8931, kb_relative_information_score: 28021.2626, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9564, predictive_accuracy: 0.9565, prior_entropy: 0.863, recall: 0.9565, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.4068, scimark_benchmark: 1295.9894, usercpu_time_millis: 8088.709, usercpu_time_millis_testing: 92.452, usercpu_time_millis_training: 7996.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9338, kappa: 0.8356, kb_relative_information_score: 25178.096, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9344, predictive_accuracy: 0.9348, prior_entropy: 0.863, recall: 0.9348, relative_absolute_error: 0.2817, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.4942, scimark_benchmark: 1291.6991, usercpu_time_millis: 8219.642, usercpu_time_millis_testing: 64.899, usercpu_time_millis_training: 8154.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9544, kappa: 0.8881, kb_relative_information_score: 27581.1408, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9544, predictive_accuracy: 0.9545, prior_entropy: 0.863, recall: 0.9545, relative_absolute_error: 0.211, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.4189, scimark_benchmark: 1307.3929, usercpu_time_millis: 3751.912, usercpu_time_millis_testing: 64.91, usercpu_time_millis_training: 3687.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9271, kappa: 0.8181, kb_relative_information_score: 23918.2839, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.929, predictive_accuracy: 0.9287, prior_entropy: 0.863, recall: 0.9287, relative_absolute_error: 0.3292, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.5076, scimark_benchmark: 1256.7175, usercpu_time_millis: 2522.904, usercpu_time_millis_testing: 44.23, usercpu_time_millis_training: 2478.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9012, kappa: 0.75, kb_relative_information_score: 16456.1414, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9106, predictive_accuracy: 0.906, prior_entropy: 0.863, recall: 0.906, relative_absolute_error: 0.5788, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2917, root_relative_squared_error: 0.6457, scimark_benchmark: 1285.8071, usercpu_time_millis: 155.359, usercpu_time_millis_testing: 11.348, usercpu_time_millis_training: 144.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9611, kappa: 0.9044, kb_relative_information_score: 28496.0573, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.961, predictive_accuracy: 0.9612, prior_entropy: 0.863, recall: 0.9612, relative_absolute_error: 0.185, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.386, scimark_benchmark: 1299.4851, usercpu_time_millis: 2083.697, usercpu_time_millis_testing: 49.975, usercpu_time_millis_training: 2033.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9411, kappa: 0.8542, kb_relative_information_score: 25651.1406, mean_absolute_error: 0.1112, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9413, predictive_accuracy: 0.9417, prior_entropy: 0.863, recall: 0.9417, relative_absolute_error: 0.2726, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.4674, scimark_benchmark: 1310.759, usercpu_time_millis: 673.596, usercpu_time_millis_testing: 23.954, usercpu_time_millis_training: 649.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9659, kappa: 0.9164, kb_relative_information_score: 29139.9808, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9659, predictive_accuracy: 0.966, prior_entropy: 0.863, recall: 0.966, relative_absolute_error: 0.1667, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.163, root_relative_squared_error: 0.3609, scimark_benchmark: 1244.6006, usercpu_time_millis: 2719.38, usercpu_time_millis_testing: 71.957, usercpu_time_millis_training: 2647.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9594, kappa: 0.9003, kb_relative_information_score: 28106.7145, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.198, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.3955, scimark_benchmark: 1259.4228, usercpu_time_millis: 581.707, usercpu_time_millis_testing: 24.567, usercpu_time_millis_training: 557.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9687, kappa: 0.9233, kb_relative_information_score: 30182.5115, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9687, predictive_accuracy: 0.9688, prior_entropy: 0.863, recall: 0.9688, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.3428, scimark_benchmark: 1302.9169, usercpu_time_millis: 400.013, usercpu_time_millis_testing: 5.993, usercpu_time_millis_training: 394.02,

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