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: 0.9937, f_measure: 0.9667, kappa: 0.9181, kb_relative_information_score: 29361.2342, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9666, predictive_accuracy: 0.9667, prior_entropy: 0.863, recall: 0.9667, relative_absolute_error: 0.1584, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.162, root_relative_squared_error: 0.3586, scimark_benchmark: 1266.574, usercpu_time_millis: 303.91, usercpu_time_millis_testing: 8.462, usercpu_time_millis_training: 295.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.925, kappa: 0.8129, kb_relative_information_score: 21515.1784, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9266, predictive_accuracy: 0.9266, prior_entropy: 0.863, recall: 0.9266, relative_absolute_error: 0.4098, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2464, root_relative_squared_error: 0.5456, scimark_benchmark: 1266.8141, usercpu_time_millis: 1179.283, usercpu_time_millis_testing: 53.054, usercpu_time_millis_training: 1126.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9454, kappa: 0.8655, kb_relative_information_score: 26642.9796, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9453, predictive_accuracy: 0.9456, prior_entropy: 0.863, recall: 0.9456, relative_absolute_error: 0.237, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.204, root_relative_squared_error: 0.4516, scimark_benchmark: 1263.8152, usercpu_time_millis: 526.838, usercpu_time_millis_testing: 8.761, usercpu_time_millis_training: 518.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9304, kappa: 0.8267, kb_relative_information_score: 24685.5749, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9316, predictive_accuracy: 0.9317, prior_entropy: 0.863, recall: 0.9317, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.4984, scimark_benchmark: 1242.3723, usercpu_time_millis: 1505.3, usercpu_time_millis_testing: 57.473, usercpu_time_millis_training: 1447.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.8594, kappa: 0.6531, kb_relative_information_score: 14467.1326, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8588, predictive_accuracy: 0.8605, prior_entropy: 0.863, recall: 0.8605, relative_absolute_error: 0.6172, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.7143, scimark_benchmark: 1246.9612, usercpu_time_millis: 280.937, usercpu_time_millis_testing: 23.045, usercpu_time_millis_training: 257.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.907, kappa: 0.7682, kb_relative_information_score: 16653.9297, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.908, predictive_accuracy: 0.9089, prior_entropy: 0.863, recall: 0.9089, relative_absolute_error: 0.5539, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.6432, scimark_benchmark: 1255.2344, usercpu_time_millis: 663.794, usercpu_time_millis_testing: 53.355, usercpu_time_millis_training: 610.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9677, kappa: 0.9208, kb_relative_information_score: 29616.3266, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 0.863, recall: 0.9678, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.3516, scimark_benchmark: 1254.2761, usercpu_time_millis: 4769.032, usercpu_time_millis_testing: 58.182, usercpu_time_millis_training: 4710.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9606, kappa: 0.9032, kb_relative_information_score: 28545.5665, mean_absolute_error: 0.0743, 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: 0.182, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.3883, scimark_benchmark: 1270.4964, usercpu_time_millis: 5076.113, usercpu_time_millis_testing: 49.198, usercpu_time_millis_training: 5026.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.953, kappa: 0.8847, kb_relative_information_score: 27386.8354, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.953, predictive_accuracy: 0.9531, prior_entropy: 0.863, recall: 0.9531, relative_absolute_error: 0.2164, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.4274, scimark_benchmark: 1258.6481, usercpu_time_millis: 1949.005, usercpu_time_millis_testing: 38.103, usercpu_time_millis_training: 1910.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9375, kappa: 0.8448, kb_relative_information_score: 22436.4407, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9382, predictive_accuracy: 0.9384, prior_entropy: 0.863, recall: 0.9384, relative_absolute_error: 0.3861, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.52, scimark_benchmark: 1251.4972, usercpu_time_millis: 466.167, usercpu_time_millis_testing: 25.572, usercpu_time_millis_training: 440.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9479, kappa: 0.8719, kb_relative_information_score: 26753.8816, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9478, predictive_accuracy: 0.9481, prior_entropy: 0.863, recall: 0.9481, relative_absolute_error: 0.2364, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.4425, scimark_benchmark: 1264.595, usercpu_time_millis: 5458.463, usercpu_time_millis_testing: 74.689, usercpu_time_millis_training: 5383.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9611, kappa: 0.9042, kb_relative_information_score: 27804.633, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.2114, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3939, scimark_benchmark: 1259.4294, usercpu_time_millis: 49.038, usercpu_time_millis_testing: 3.532, usercpu_time_millis_training: 45.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.927, kappa: 0.8179, kb_relative_information_score: 24598.9832, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9289, predictive_accuracy: 0.9287, prior_entropy: 0.863, recall: 0.9287, relative_absolute_error: 0.3018, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.227, root_relative_squared_error: 0.5026, scimark_benchmark: 1253.8504, usercpu_time_millis: 330.897, usercpu_time_millis_testing: 8.074, usercpu_time_millis_training: 322.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9525, kappa: 0.8833, kb_relative_information_score: 27067.6092, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9525, predictive_accuracy: 0.9527, prior_entropy: 0.863, recall: 0.9527, relative_absolute_error: 0.2282, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.4302, scimark_benchmark: 1260.4277, usercpu_time_millis: 1396.139, usercpu_time_millis_testing: 37.55, usercpu_time_millis_training: 1358.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.947, kappa: 0.8687, kb_relative_information_score: 24054.4348, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9476, predictive_accuracy: 0.9477, prior_entropy: 0.863, recall: 0.9477, relative_absolute_error: 0.3363, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.4808, scimark_benchmark: 1257.095, usercpu_time_millis: 2073.749, usercpu_time_millis_testing: 107.312, usercpu_time_millis_training: 1966.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9351, kappa: 0.8391, kb_relative_information_score: 25333.3137, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9354, predictive_accuracy: 0.9359, prior_entropy: 0.863, recall: 0.9359, relative_absolute_error: 0.2787, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.4863, scimark_benchmark: 1254.3642, usercpu_time_millis: 4063.9, usercpu_time_millis_testing: 71.669, usercpu_time_millis_training: 3992.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9684, kappa: 0.9225, kb_relative_information_score: 29746.2387, mean_absolute_error: 0.0598, 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: 0.1466, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.3452, scimark_benchmark: 1257.2341, usercpu_time_millis: 2959.165, usercpu_time_millis_testing: 49.827, usercpu_time_millis_training: 2909.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9248, kappa: 0.8119, kb_relative_information_score: 24131.3678, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9273, predictive_accuracy: 0.9267, prior_entropy: 0.863, recall: 0.9267, relative_absolute_error: 0.3202, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.5073, scimark_benchmark: 1255.4346, usercpu_time_millis: 693.007, usercpu_time_millis_testing: 15.056, usercpu_time_millis_training: 677.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9538, kappa: 0.8856, kb_relative_information_score: 24954.1997, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9543, predictive_accuracy: 0.9543, prior_entropy: 0.863, recall: 0.9543, relative_absolute_error: 0.3115, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.4514, scimark_benchmark: 1270.8909, usercpu_time_millis: 1792.816, usercpu_time_millis_testing: 103.348, usercpu_time_millis_training: 1689.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9595, kappa: 0.9005, kb_relative_information_score: 28333.3795, mean_absolute_error: 0.0773, 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: 0.1893, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.3944, scimark_benchmark: 1253.6415, usercpu_time_millis: 1611.13, usercpu_time_millis_testing: 50.493, usercpu_time_millis_training: 1560.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9274, kappa: 0.8193, kb_relative_information_score: 22049.4313, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9285, predictive_accuracy: 0.9288, prior_entropy: 0.863, recall: 0.9288, relative_absolute_error: 0.394, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2411, root_relative_squared_error: 0.5337, scimark_benchmark: 1253.4547, usercpu_time_millis: 572.805, usercpu_time_millis_testing: 24.271, usercpu_time_millis_training: 548.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9678, kappa: 0.921, kb_relative_information_score: 29782.9786, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9678, predictive_accuracy: 0.9678, prior_entropy: 0.863, recall: 0.9678, relative_absolute_error: 0.1441, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.3501, scimark_benchmark: 1244.5089, usercpu_time_millis: 7198.58, usercpu_time_millis_testing: 53.053, usercpu_time_millis_training: 7145.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9325, kappa: 0.832, kb_relative_information_score: 24028.5322, mean_absolute_error: 0.1337, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9336, predictive_accuracy: 0.9337, prior_entropy: 0.863, recall: 0.9337, relative_absolute_error: 0.3277, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.5009, scimark_benchmark: 1253.7945, usercpu_time_millis: 829.963, usercpu_time_millis_testing: 26.805, usercpu_time_millis_training: 803.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9644, kappa: 0.9127, kb_relative_information_score: 29070.361, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9644, predictive_accuracy: 0.9645, prior_entropy: 0.863, recall: 0.9645, relative_absolute_error: 0.1666, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.3703, scimark_benchmark: 1252.4048, usercpu_time_millis: 4239.959, usercpu_time_millis_testing: 68.985, usercpu_time_millis_training: 4170.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9529, kappa: 0.8835, kb_relative_information_score: 25874.9381, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9531, predictive_accuracy: 0.9533, prior_entropy: 0.863, recall: 0.9533, relative_absolute_error: 0.2755, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.4403, scimark_benchmark: 1256.9619, usercpu_time_millis: 1425.923, usercpu_time_millis_testing: 52.005, usercpu_time_millis_training: 1373.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9372, kappa: 0.8441, kb_relative_information_score: 22223.4572, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.938, predictive_accuracy: 0.9382, prior_entropy: 0.863, recall: 0.9382, relative_absolute_error: 0.393, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.5239, scimark_benchmark: 1268.0363, usercpu_time_millis: 973.259, usercpu_time_millis_testing: 53.232, usercpu_time_millis_training: 920.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9632, kappa: 0.9095, kb_relative_information_score: 28853.5162, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9631, predictive_accuracy: 0.9632, prior_entropy: 0.863, recall: 0.9632, relative_absolute_error: 0.1736, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.378, scimark_benchmark: 1252.6555, usercpu_time_millis: 1387.465, usercpu_time_millis_testing: 26.421, usercpu_time_millis_training: 1361.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9515, kappa: 0.8807, kb_relative_information_score: 26856.2693, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9514, predictive_accuracy: 0.9517, prior_entropy: 0.863, recall: 0.9517, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.4345, scimark_benchmark: 1259.5444, usercpu_time_millis: 1349.214, usercpu_time_millis_testing: 26.83, usercpu_time_millis_training: 1322.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.959, kappa: 0.8993, kb_relative_information_score: 27752.4777, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.959, predictive_accuracy: 0.9592, prior_entropy: 0.863, recall: 0.9592, relative_absolute_error: 0.2104, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.4017, scimark_benchmark: 1253.9791, usercpu_time_millis: 2131.636, usercpu_time_millis_testing: 78.419, usercpu_time_millis_training: 2053.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.8516, kappa: 0.6198, kb_relative_information_score: 13233.1152, mean_absolute_error: 0.2717, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.876, predictive_accuracy: 0.8641, prior_entropy: 0.863, recall: 0.8641, relative_absolute_error: 0.6658, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.7155, scimark_benchmark: 1247.9743, usercpu_time_millis: 203.306, usercpu_time_millis_testing: 17.396, usercpu_time_millis_training: 185.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9664, kappa: 0.9175, kb_relative_information_score: 29280.6247, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9664, predictive_accuracy: 0.9665, prior_entropy: 0.863, recall: 0.9665, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.162, root_relative_squared_error: 0.3587, scimark_benchmark: 1258.858, usercpu_time_millis: 3618.436, usercpu_time_millis_testing: 66.963, usercpu_time_millis_training: 3551.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.968, kappa: 0.9214, kb_relative_information_score: 29643.1852, mean_absolute_error: 0.0612, 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: 0.15, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3482, scimark_benchmark: 1242.631, usercpu_time_millis: 368.838, usercpu_time_millis_testing: 8.987, usercpu_time_millis_training: 359.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.948, kappa: 0.8714, kb_relative_information_score: 25192.8499, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9484, predictive_accuracy: 0.9486, prior_entropy: 0.863, recall: 0.9486, relative_absolute_error: 0.2975, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.4579, scimark_benchmark: 1246.9604, usercpu_time_millis: 841.349, usercpu_time_millis_testing: 46.578, usercpu_time_millis_training: 794.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9677, kappa: 0.9207, kb_relative_information_score: 29746.6852, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9677, predictive_accuracy: 0.9677, prior_entropy: 0.863, recall: 0.9677, relative_absolute_error: 0.1455, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.3503, scimark_benchmark: 1240.4918, usercpu_time_millis: 2364.241, usercpu_time_millis_testing: 21.992, usercpu_time_millis_training: 2342.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9547, kappa: 0.8888, kb_relative_information_score: 27621.4644, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9546, predictive_accuracy: 0.9547, prior_entropy: 0.863, recall: 0.9547, relative_absolute_error: 0.2096, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.4179, scimark_benchmark: 1243.3656, usercpu_time_millis: 549.909, usercpu_time_millis_testing: 9.293, usercpu_time_millis_training: 540.616,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9587, kappa: 0.8981, kb_relative_information_score: 27195.4877, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9587, predictive_accuracy: 0.9589, prior_entropy: 0.863, recall: 0.9589, relative_absolute_error: 0.233, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.4065, scimark_benchmark: 1249.4708, usercpu_time_millis: 656.442, usercpu_time_millis_testing: 27.623, usercpu_time_millis_training: 628.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9552, kappa: 0.8901, kb_relative_information_score: 29105.1751, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9552, predictive_accuracy: 0.9553, prior_entropy: 0.863, recall: 0.9553, relative_absolute_error: 0.1533, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.187, root_relative_squared_error: 0.414, scimark_benchmark: 1243.5736, usercpu_time_millis: 51.545, usercpu_time_millis_testing: 3.554, usercpu_time_millis_training: 47.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9557, kappa: 0.8909, kb_relative_information_score: 27068.498, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9557, predictive_accuracy: 0.956, prior_entropy: 0.863, recall: 0.956, relative_absolute_error: 0.2339, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.4164, scimark_benchmark: 1261.7225, usercpu_time_millis: 568.861, usercpu_time_millis_testing: 28.429, usercpu_time_millis_training: 540.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9526, kappa: 0.8833, kb_relative_information_score: 26927.7089, mean_absolute_error: 0.0955, 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: 0.234, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.4298, scimark_benchmark: 1261.9378, usercpu_time_millis: 1140.048, usercpu_time_millis_testing: 25.794, usercpu_time_millis_training: 1114.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9313, kappa: 0.8291, kb_relative_information_score: 24876.1226, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9323, predictive_accuracy: 0.9325, prior_entropy: 0.863, recall: 0.9325, relative_absolute_error: 0.293, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.497, scimark_benchmark: 1271.328, usercpu_time_millis: 2892.666, usercpu_time_millis_testing: 65.919, usercpu_time_millis_training: 2826.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9396, kappa: 0.8508, kb_relative_information_score: 26056.2324, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9397, predictive_accuracy: 0.9401, prior_entropy: 0.863, recall: 0.9401, relative_absolute_error: 0.2549, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.4663, scimark_benchmark: 1251.1316, usercpu_time_millis: 6117.631, usercpu_time_millis_testing: 80.424, usercpu_time_millis_training: 6037.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9373, kappa: 0.8443, kb_relative_information_score: 23062.4022, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.938, predictive_accuracy: 0.9383, prior_entropy: 0.863, recall: 0.9383, relative_absolute_error: 0.365, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.5088, scimark_benchmark: 1252.5669, usercpu_time_millis: 691.16, usercpu_time_millis_testing: 42.456, usercpu_time_millis_training: 648.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9647, kappa: 0.9133, kb_relative_information_score: 28702.2056, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9647, predictive_accuracy: 0.9648, prior_entropy: 0.863, recall: 0.9648, relative_absolute_error: 0.1812, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.3725, scimark_benchmark: 1264.3101, usercpu_time_millis: 1313.064, usercpu_time_millis_testing: 60.907, usercpu_time_millis_training: 1252.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9406, kappa: 0.8533, kb_relative_information_score: 26029.7299, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9407, predictive_accuracy: 0.9412, prior_entropy: 0.863, recall: 0.9412, relative_absolute_error: 0.2568, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.4655, scimark_benchmark: 1247.9837, usercpu_time_millis: 719.036, usercpu_time_millis_testing: 19.178, usercpu_time_millis_training: 699.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9662, kappa: 0.9168, kb_relative_information_score: 28339.5724, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9662, predictive_accuracy: 0.9664, prior_entropy: 0.863, recall: 0.9664, relative_absolute_error: 0.1979, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.3698, scimark_benchmark: 1255.1091, usercpu_time_millis: 161.64, usercpu_time_millis_testing: 8.843, usercpu_time_millis_training: 152.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9428, kappa: 0.8592, kb_relative_information_score: 26240.9702, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9427, predictive_accuracy: 0.9431, prior_entropy: 0.863, recall: 0.9431, relative_absolute_error: 0.249, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.4615, scimark_benchmark: 1275.6369, usercpu_time_millis: 7478.181, usercpu_time_millis_testing: 76.854, usercpu_time_millis_training: 7401.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9244, kappa: 0.8099, kb_relative_information_score: 18653.4267, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9295, predictive_accuracy: 0.9269, prior_entropy: 0.863, recall: 0.9269, relative_absolute_error: 0.5176, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2685, root_relative_squared_error: 0.5944, scimark_benchmark: 1267.8034, usercpu_time_millis: 1043.737, usercpu_time_millis_testing: 82.416, usercpu_time_millis_training: 961.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9222, kappa: 0.8043, kb_relative_information_score: 18408.7516, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9277, predictive_accuracy: 0.925, prior_entropy: 0.863, recall: 0.925, relative_absolute_error: 0.5262, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.5995, scimark_benchmark: 1249.7202, usercpu_time_millis: 509.357, usercpu_time_millis_testing: 45.046, usercpu_time_millis_training: 464.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9628, kappa: 0.9086, kb_relative_information_score: 28238.2593, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9628, predictive_accuracy: 0.963, prior_entropy: 0.863, recall: 0.963, relative_absolute_error: 0.1981, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.3805, scimark_benchmark: 1262.3819, usercpu_time_millis: 724.383, usercpu_time_millis_testing: 36.512, usercpu_time_millis_training: 687.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9113, kappa: 0.7762, kb_relative_information_score: 17399.736, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9185, predictive_accuracy: 0.915, prior_entropy: 0.863, recall: 0.915, relative_absolute_error: 0.5521, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.282, root_relative_squared_error: 0.6242, scimark_benchmark: 1263.6156, usercpu_time_millis: 624.818, usercpu_time_millis_testing: 46.591, usercpu_time_millis_training: 578.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.928, kappa: 0.8192, kb_relative_information_score: 19069.4808, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9324, predictive_accuracy: 0.9302, prior_entropy: 0.863, recall: 0.9302, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.264, root_relative_squared_error: 0.5844, scimark_benchmark: 1259.7401, usercpu_time_millis: 335.256, usercpu_time_millis_testing: 24.178, usercpu_time_millis_training: 311.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9602, kappa: 0.9021, kb_relative_information_score: 28005.243, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9602, predictive_accuracy: 0.9603, prior_entropy: 0.863, recall: 0.9603, relative_absolute_error: 0.2028, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3946, scimark_benchmark: 1264.7008, usercpu_time_millis: 836.816, usercpu_time_millis_testing: 40.578, usercpu_time_millis_training: 796.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9405, kappa: 0.8531, kb_relative_information_score: 25985.8655, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9406, predictive_accuracy: 0.9411, prior_entropy: 0.863, recall: 0.9411, relative_absolute_error: 0.259, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4644, scimark_benchmark: 1260.7104, usercpu_time_millis: 1960.189, usercpu_time_millis_testing: 36.271, usercpu_time_millis_training: 1923.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9542, kappa: 0.8872, kb_relative_information_score: 27017.2055, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9541, predictive_accuracy: 0.9544, prior_entropy: 0.863, recall: 0.9544, relative_absolute_error: 0.2333, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.4222, scimark_benchmark: 1252.0361, usercpu_time_millis: 728.654, usercpu_time_millis_testing: 23.882, usercpu_time_millis_training: 704.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9625, kappa: 0.9079, kb_relative_information_score: 28842.7958, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, predictive_accuracy: 0.9626, prior_entropy: 0.863, recall: 0.9626, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.3778, scimark_benchmark: 1264.4926, usercpu_time_millis: 1353.534, usercpu_time_millis_testing: 32.221, usercpu_time_millis_training: 1321.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9597, kappa: 0.9012, kb_relative_information_score: 28449.4432, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9597, predictive_accuracy: 0.9598, prior_entropy: 0.863, recall: 0.9598, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.3926, scimark_benchmark: 1266.0864, usercpu_time_millis: 4784.752, usercpu_time_millis_testing: 70.814, usercpu_time_millis_training: 4713.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9612, kappa: 0.9048, kb_relative_information_score: 28734.212, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9612, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.1757, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.3842, scimark_benchmark: 1252.4797, usercpu_time_millis: 4700.155, usercpu_time_millis_testing: 51.248, usercpu_time_millis_training: 4648.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9681, kappa: 0.9217, kb_relative_information_score: 29802.157, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.968, predictive_accuracy: 0.9681, prior_entropy: 0.863, recall: 0.9681, relative_absolute_error: 0.1444, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.156, root_relative_squared_error: 0.3455, scimark_benchmark: 1266.0522, usercpu_time_millis: 1246.434, usercpu_time_millis_testing: 15.82, usercpu_time_millis_training: 1230.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9634, kappa: 0.9101, kb_relative_information_score: 28688.3246, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9634, predictive_accuracy: 0.9635, prior_entropy: 0.863, recall: 0.9635, relative_absolute_error: 0.1815, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.3736, scimark_benchmark: 1255.3278, usercpu_time_millis: 1134.165, usercpu_time_millis_testing: 36.283, usercpu_time_millis_training: 1097.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9653, kappa: 0.9146, kb_relative_information_score: 28764.6177, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9652, predictive_accuracy: 0.9654, prior_entropy: 0.863, recall: 0.9654, relative_absolute_error: 0.1803, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.3678, scimark_benchmark: 1264.4811, usercpu_time_millis: 122.535, usercpu_time_millis_testing: 6.24, usercpu_time_millis_training: 116.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9595, kappa: 0.9006, kb_relative_information_score: 28487.276, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.1834, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.3923, scimark_benchmark: 1249.8795, usercpu_time_millis: 4597.358, usercpu_time_millis_testing: 56.239, usercpu_time_millis_training: 4541.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9319, kappa: 0.8291, kb_relative_information_score: 19396.5565, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9359, predictive_accuracy: 0.9339, prior_entropy: 0.863, recall: 0.9339, relative_absolute_error: 0.4972, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.26, root_relative_squared_error: 0.5756, scimark_benchmark: 1262.351, usercpu_time_millis: 1017.534, usercpu_time_millis_testing: 72.323, usercpu_time_millis_training: 945.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9583, kappa: 0.8972, kb_relative_information_score: 27412.9013, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9583, predictive_accuracy: 0.9585, prior_entropy: 0.863, recall: 0.9585, relative_absolute_error: 0.2243, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.4044, scimark_benchmark: 1260.0205, usercpu_time_millis: 926.174, usercpu_time_millis_testing: 52.55, usercpu_time_millis_training: 873.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9591, kappa: 0.8996, kb_relative_information_score: 28002.1206, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9591, predictive_accuracy: 0.9592, prior_entropy: 0.863, recall: 0.9592, relative_absolute_error: 0.2005, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.3993, scimark_benchmark: 1244.7918, usercpu_time_millis: 6116.478, usercpu_time_millis_testing: 110.539, usercpu_time_millis_training: 6005.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9676, kappa: 0.9205, kb_relative_information_score: 29285.8648, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9676, predictive_accuracy: 0.9677, prior_entropy: 0.863, recall: 0.9677, relative_absolute_error: 0.1631, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.3531, scimark_benchmark: 1259.2431, usercpu_time_millis: 1453.411, usercpu_time_millis_testing: 40.356, usercpu_time_millis_training: 1413.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9607, kappa: 0.9034, kb_relative_information_score: 28047.6872, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9607, predictive_accuracy: 0.9609, prior_entropy: 0.863, recall: 0.9609, relative_absolute_error: 0.202, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.3909, scimark_benchmark: 1260.8168, usercpu_time_millis: 1754.103, usercpu_time_millis_testing: 51.089, usercpu_time_millis_training: 1703.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.957, kappa: 0.8945, kb_relative_information_score: 28008.2548, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.957, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.405, scimark_benchmark: 1261.9501, usercpu_time_millis: 4223.316, usercpu_time_millis_testing: 72.288, usercpu_time_millis_training: 4151.028,

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