OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 31695 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9471, kappa: 0.8702, kb_relative_information_score: 27991.8105, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.947, predictive_accuracy: 0.9471, prior_entropy: 0.863, recall: 0.9471, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4375, scimark_benchmark: 1316.968, usercpu_time_millis: 9092.802, usercpu_time_millis_testing: 81.026, usercpu_time_millis_training: 9011.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9435, kappa: 0.8613, kb_relative_information_score: 27545.0591, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9434, predictive_accuracy: 0.9436, prior_entropy: 0.863, recall: 0.9436, relative_absolute_error: 0.2042, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.4521, scimark_benchmark: 1321.125, usercpu_time_millis: 10588.353, usercpu_time_millis_testing: 101.592, usercpu_time_millis_training: 10486.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9199, kappa: 0.7996, kb_relative_information_score: 24691.0191, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9221, predictive_accuracy: 0.9219, prior_entropy: 0.863, recall: 0.9219, relative_absolute_error: 0.3014, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.5309, scimark_benchmark: 1320.3982, usercpu_time_millis: 16854.248, usercpu_time_millis_testing: 156.113, usercpu_time_millis_training: 16698.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9421, kappa: 0.8579, kb_relative_information_score: 27347.8905, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.942, predictive_accuracy: 0.9422, prior_entropy: 0.863, recall: 0.9422, relative_absolute_error: 0.2101, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.4606, scimark_benchmark: 1305.2135, usercpu_time_millis: 12809.461, usercpu_time_millis_testing: 127.6, usercpu_time_millis_training: 12681.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9468, kappa: 0.8694, kb_relative_information_score: 27960.5867, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9467, predictive_accuracy: 0.9468, prior_entropy: 0.863, recall: 0.9468, relative_absolute_error: 0.192, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.4385, scimark_benchmark: 1329.9085, usercpu_time_millis: 10333.401, usercpu_time_millis_testing: 88.172, usercpu_time_millis_training: 10245.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.958, kappa: 0.8968, kb_relative_information_score: 29272.4077, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9579, predictive_accuracy: 0.9581, prior_entropy: 0.863, recall: 0.9581, relative_absolute_error: 0.1549, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.3943, scimark_benchmark: 1323.1123, usercpu_time_millis: 8593.462, usercpu_time_millis_testing: 68.813, usercpu_time_millis_training: 8524.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9433, kappa: 0.8609, kb_relative_information_score: 27489.5763, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9432, predictive_accuracy: 0.9434, prior_entropy: 0.863, recall: 0.9434, relative_absolute_error: 0.2059, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.205, root_relative_squared_error: 0.4537, scimark_benchmark: 1300.5332, usercpu_time_millis: 10293.403, usercpu_time_millis_testing: 93.637, usercpu_time_millis_training: 10199.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9505, kappa: 0.878, kb_relative_information_score: 28448.6526, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9505, predictive_accuracy: 0.9508, prior_entropy: 0.863, recall: 0.9508, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.4259, scimark_benchmark: 1316.7072, usercpu_time_millis: 11931.407, usercpu_time_millis_testing: 116.802, usercpu_time_millis_training: 11814.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9612, kappa: 0.9047, kb_relative_information_score: 29664.9938, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9612, prior_entropy: 0.863, recall: 0.9612, relative_absolute_error: 0.1434, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.3781, scimark_benchmark: 1303.2134, usercpu_time_millis: 9759.408, usercpu_time_millis_testing: 51.579, usercpu_time_millis_training: 9707.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9517, kappa: 0.8811, kb_relative_information_score: 28569.403, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9517, predictive_accuracy: 0.952, prior_entropy: 0.863, recall: 0.952, relative_absolute_error: 0.1771, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.4215, scimark_benchmark: 1298.1617, usercpu_time_millis: 14914.299, usercpu_time_millis_testing: 124.944, usercpu_time_millis_training: 14789.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9481, kappa: 0.8728, kb_relative_information_score: 28248.3412, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9481, predictive_accuracy: 0.9482, prior_entropy: 0.863, recall: 0.9482, relative_absolute_error: 0.1837, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.429, scimark_benchmark: 1323.3204, usercpu_time_millis: 8471.857, usercpu_time_millis_testing: 76.387, usercpu_time_millis_training: 8395.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9498, kappa: 0.8769, kb_relative_information_score: 28353.9583, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9498, predictive_accuracy: 0.9498, prior_entropy: 0.863, recall: 0.9498, relative_absolute_error: 0.1808, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.4242, scimark_benchmark: 1317.1252, usercpu_time_millis: 14182.722, usercpu_time_millis_testing: 67.742, usercpu_time_millis_training: 14114.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9478, kappa: 0.8719, kb_relative_information_score: 28207.5186, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9477, predictive_accuracy: 0.9478, prior_entropy: 0.863, recall: 0.9478, relative_absolute_error: 0.1849, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4304, scimark_benchmark: 1307.3742, usercpu_time_millis: 8499.147, usercpu_time_millis_testing: 64.653, usercpu_time_millis_training: 8434.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9478, kappa: 0.8719, kb_relative_information_score: 28182.2201, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9477, predictive_accuracy: 0.9478, prior_entropy: 0.863, recall: 0.9478, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.4313, scimark_benchmark: 1322.8045, usercpu_time_millis: 8680.908, usercpu_time_millis_testing: 80.615, usercpu_time_millis_training: 8600.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9611, kappa: 0.9043, kb_relative_information_score: 29560.778, mean_absolute_error: 0.0604, 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: 0.1481, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.3828, scimark_benchmark: 1311.6614, usercpu_time_millis: 13411.626, usercpu_time_millis_testing: 67.229, usercpu_time_millis_training: 13344.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9624, kappa: 0.9079, kb_relative_information_score: 29711.0667, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9624, predictive_accuracy: 0.9624, prior_entropy: 0.863, recall: 0.9624, relative_absolute_error: 0.1429, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.3738, scimark_benchmark: 1294.2628, usercpu_time_millis: 16919.682, usercpu_time_millis_testing: 41.454, usercpu_time_millis_training: 16878.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9418, kappa: 0.8572, kb_relative_information_score: 27324.5817, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9417, predictive_accuracy: 0.9419, prior_entropy: 0.863, recall: 0.9419, relative_absolute_error: 0.2108, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.459, scimark_benchmark: 1320.1636, usercpu_time_millis: 11644.098, usercpu_time_millis_testing: 114.409, usercpu_time_millis_training: 11529.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9554, kappa: 0.89, kb_relative_information_score: 28917.658, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9555, predictive_accuracy: 0.9558, prior_entropy: 0.863, recall: 0.9558, relative_absolute_error: 0.1695, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.4058, scimark_benchmark: 1326.9707, usercpu_time_millis: 16518.032, usercpu_time_millis_testing: 80.536, usercpu_time_millis_training: 16437.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9551, kappa: 0.8896, kb_relative_information_score: 28941.1902, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.955, predictive_accuracy: 0.9552, prior_entropy: 0.863, recall: 0.9552, relative_absolute_error: 0.1644, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.184, root_relative_squared_error: 0.4073, scimark_benchmark: 1315.2629, usercpu_time_millis: 9470.982, usercpu_time_millis_testing: 90.796, usercpu_time_millis_training: 9380.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9455, kappa: 0.8662, kb_relative_information_score: 27804.4614, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9454, predictive_accuracy: 0.9455, prior_entropy: 0.863, recall: 0.9455, relative_absolute_error: 0.1966, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4437, scimark_benchmark: 1343.8202, usercpu_time_millis: 10319.538, usercpu_time_millis_testing: 89.851, usercpu_time_millis_training: 10229.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9439, kappa: 0.8614, kb_relative_information_score: 27676.5965, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9439, predictive_accuracy: 0.9443, prior_entropy: 0.863, recall: 0.9443, relative_absolute_error: 0.2043, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4518, scimark_benchmark: 1317.7758, usercpu_time_millis: 13346.962, usercpu_time_millis_testing: 122.017, usercpu_time_millis_training: 13224.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9614, kappa: 0.9052, kb_relative_information_score: 29698.4386, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.863, recall: 0.9614, relative_absolute_error: 0.1424, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.3769, scimark_benchmark: 1340.7696, usercpu_time_millis: 10969.452, usercpu_time_millis_testing: 54.585, usercpu_time_millis_training: 10914.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9629, kappa: 0.909, kb_relative_information_score: 29817.1491, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.9629, prior_entropy: 0.863, recall: 0.9629, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.3701, scimark_benchmark: 1294.7341, usercpu_time_millis: 11001.534, usercpu_time_millis_testing: 67.639, usercpu_time_millis_training: 10933.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9573, kappa: 0.8951, kb_relative_information_score: 28687.8483, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9572, predictive_accuracy: 0.9574, prior_entropy: 0.863, recall: 0.9574, relative_absolute_error: 0.1738, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.181, root_relative_squared_error: 0.4006, scimark_benchmark: 1859.1356, usercpu_time_millis: 6.494, usercpu_time_millis_testing: 0.377, usercpu_time_millis_training: 6.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 3.9303, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1858.6076, usercpu_time_millis: 15.687, usercpu_time_millis_testing: 1.032, usercpu_time_millis_training: 14.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -7.7054, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1835.093, usercpu_time_millis: 24.855, usercpu_time_millis_testing: 2.323, usercpu_time_millis_training: 22.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -1.7346, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1845.181, usercpu_time_millis: 6.421, usercpu_time_millis_testing: 0.685, usercpu_time_millis_training: 5.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.8572, kappa: 0.6531, kb_relative_information_score: 15543.2789, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8588, predictive_accuracy: 0.8561, prior_entropy: 0.863, recall: 0.8561, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.7451, scimark_benchmark: 1843.1989, usercpu_time_millis: 7.954, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 7.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 0.6467, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1827.1254, usercpu_time_millis: 12.924, usercpu_time_millis_testing: 2.301, usercpu_time_millis_training: 10.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.8585, kappa: 0.6527, kb_relative_information_score: 15389.5457, mean_absolute_error: 0.2372, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8583, predictive_accuracy: 0.8587, prior_entropy: 0.863, recall: 0.8587, relative_absolute_error: 0.5812, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.7363, scimark_benchmark: 1850.2875, usercpu_time_millis: 13.886, usercpu_time_millis_testing: 0.568, usercpu_time_millis_training: 13.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.96, kappa: 0.9016, kb_relative_information_score: 28468.1247, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.96, predictive_accuracy: 0.9601, prior_entropy: 0.863, recall: 0.9601, relative_absolute_error: 0.1851, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.3894, scimark_benchmark: 1840.1791, usercpu_time_millis: 7.749, usercpu_time_millis_testing: 0.542, usercpu_time_millis_training: 7.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -11.5891, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1807.6354, usercpu_time_millis: 19.912, usercpu_time_millis_testing: 2.704, usercpu_time_millis_training: 17.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.8646, kappa: 0.6724, kb_relative_information_score: 17399.3503, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8672, predictive_accuracy: 0.863, prior_entropy: 0.863, recall: 0.863, relative_absolute_error: 0.5024, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.6875, scimark_benchmark: 1846.8309, usercpu_time_millis: 512.487, usercpu_time_millis_testing: 2.955, usercpu_time_millis_training: 509.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9303, kappa: 0.8264, kb_relative_information_score: 25049.8242, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9318, predictive_accuracy: 0.9317, prior_entropy: 0.863, recall: 0.9317, relative_absolute_error: 0.2851, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.4985, scimark_benchmark: 1836.0792, usercpu_time_millis: 241.289, usercpu_time_millis_testing: 4.622, usercpu_time_millis_training: 236.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9669, kappa: 0.9187, kb_relative_information_score: 29749.3522, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9669, predictive_accuracy: 0.967, prior_entropy: 0.863, recall: 0.967, relative_absolute_error: 0.1447, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.3556, scimark_benchmark: 1829.1442, usercpu_time_millis: 249.994, usercpu_time_millis_testing: 1.689, usercpu_time_millis_training: 248.305,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.8736, kappa: 0.691, kb_relative_information_score: 17379.9324, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.874, predictive_accuracy: 0.8732, prior_entropy: 0.863, recall: 0.8732, relative_absolute_error: 0.5188, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.296, root_relative_squared_error: 0.6552, scimark_benchmark: 1795.4137, usercpu_time_millis: 188.78, usercpu_time_millis_testing: 7.061, usercpu_time_millis_training: 181.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.8776, kappa: 0.7004, kb_relative_information_score: 16684.217, mean_absolute_error: 0.2223, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8777, predictive_accuracy: 0.8774, prior_entropy: 0.863, recall: 0.8774, relative_absolute_error: 0.5448, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.296, root_relative_squared_error: 0.6552, scimark_benchmark: 1739.4648, usercpu_time_millis: 237.983, usercpu_time_millis_testing: 10.293, usercpu_time_millis_training: 227.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9418, kappa: 0.8555, kb_relative_information_score: 22705.2276, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9425, predictive_accuracy: 0.9426, prior_entropy: 0.863, recall: 0.9426, relative_absolute_error: 0.3794, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.5116, scimark_benchmark: 1851.8567, usercpu_time_millis: 380.982, usercpu_time_millis_testing: 24.442, usercpu_time_millis_training: 356.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8686, kappa: 0.6798, kb_relative_information_score: 17383.0404, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8695, predictive_accuracy: 0.8679, prior_entropy: 0.863, recall: 0.8679, relative_absolute_error: 0.5086, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.6772, scimark_benchmark: 1843.657, usercpu_time_millis: 295.168, usercpu_time_millis_testing: 2.348, usercpu_time_millis_training: 292.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9651, kappa: 0.9143, kb_relative_information_score: 29637.5661, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.965, predictive_accuracy: 0.9651, prior_entropy: 0.863, recall: 0.9651, relative_absolute_error: 0.1466, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.3589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9439, kappa: 0.8609, kb_relative_information_score: 27570.7546, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9445, predictive_accuracy: 0.9447, prior_entropy: 0.863, recall: 0.9447, relative_absolute_error: 0.2116, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.4565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.7973, kappa: 0.4932, kb_relative_information_score: 10699.6658, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.7955, predictive_accuracy: 0.8022, prior_entropy: 0.863, recall: 0.8022, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.8335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9591, kappa: 0.8996, kb_relative_information_score: 28802.4997, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.959, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.3859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9465, kappa: 0.8685, kb_relative_information_score: 27064.1472, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9464, predictive_accuracy: 0.9466, prior_entropy: 0.863, recall: 0.9466, relative_absolute_error: 0.2212, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.4636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9317, kappa: 0.8296, kb_relative_information_score: 25986.3344, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9338, predictive_accuracy: 0.9333, prior_entropy: 0.863, recall: 0.9333, relative_absolute_error: 0.2601, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.5056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9643, kappa: 0.9124, kb_relative_information_score: 29465.6352, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9643, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.1519, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.3643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9634, kappa: 0.9102, kb_relative_information_score: 29888.2367, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9634, predictive_accuracy: 0.9634, prior_entropy: 0.863, recall: 0.9634, relative_absolute_error: 0.1356, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9677, kappa: 0.9207, kb_relative_information_score: 30003.2593, mean_absolute_error: 0.0554, 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: 0.1357, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.3465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8108, f_measure: 0.6821, kappa: 0.3049, kb_relative_information_score: -3706.1104, mean_absolute_error: 0.4025, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.7336, predictive_accuracy: 0.6665, prior_entropy: 0.863, recall: 0.6665, relative_absolute_error: 0.9863, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.438, root_relative_squared_error: 0.9697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9633, kappa: 0.9101, kb_relative_information_score: 29876.0951, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9633, predictive_accuracy: 0.9633, prior_entropy: 0.863, recall: 0.9633, relative_absolute_error: 0.137, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.3699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.927, kappa: 0.8209, kb_relative_information_score: 25684.7503, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9269, predictive_accuracy: 0.927, prior_entropy: 0.863, recall: 0.927, relative_absolute_error: 0.2554, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.938, kappa: 0.8479, kb_relative_information_score: 27047.2559, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9379, predictive_accuracy: 0.938, prior_entropy: 0.863, recall: 0.938, relative_absolute_error: 0.2182, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9629, kappa: 0.9092, kb_relative_information_score: 29899.3443, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.9629, prior_entropy: 0.863, recall: 0.9629, relative_absolute_error: 0.1362, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9504, kappa: 0.8773, kb_relative_information_score: 28530.6965, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9506, predictive_accuracy: 0.9508, prior_entropy: 0.863, recall: 0.9508, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.4247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.586, f_measure: 0.6011, kappa: 0.0073, kb_relative_information_score: -7.0428, mean_absolute_error: 0.4062, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.6248, predictive_accuracy: 0.7125, prior_entropy: 0.863, recall: 0.7125, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9602, kappa: 0.9025, kb_relative_information_score: 29562.2696, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9602, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.1456, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.3818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9731, kappa: 0.9339, kb_relative_information_score: 28499.238, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9731, predictive_accuracy: 0.9732, prior_entropy: 0.863, recall: 0.9732, relative_absolute_error: 0.2003, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.3507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9548, kappa: 0.8889, kb_relative_information_score: -8770.705, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9547, predictive_accuracy: 0.9549, prior_entropy: 0.863, recall: 0.9549, relative_absolute_error: 1.1223, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4586, root_relative_squared_error: 1.0153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.839, kappa: 0.5866, kb_relative_information_score: 16256.3563, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8701, predictive_accuracy: 0.8546, prior_entropy: 0.863, recall: 0.8546, relative_absolute_error: 0.5258, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.7024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9424, kappa: 0.8569, kb_relative_information_score: 27518.3599, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9433, predictive_accuracy: 0.9433, prior_entropy: 0.863, recall: 0.9433, relative_absolute_error: 0.2117, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.4665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.4252, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9427, kappa: 0.8595, kb_relative_information_score: 27694.0208, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9427, predictive_accuracy: 0.9428, prior_entropy: 0.863, recall: 0.9428, relative_absolute_error: 0.1989, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.203, root_relative_squared_error: 0.4494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9624, kappa: 0.9077, kb_relative_information_score: 29250.9145, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9624, predictive_accuracy: 0.9625, prior_entropy: 0.863, recall: 0.9625, relative_absolute_error: 0.1584, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.3726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9632, kappa: 0.9097, kb_relative_information_score: 29328.485, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9632, predictive_accuracy: 0.9633, prior_entropy: 0.863, recall: 0.9633, relative_absolute_error: 0.1556, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.3691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9633, kappa: 0.9099, kb_relative_information_score: 29800.0118, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9633, predictive_accuracy: 0.9633, prior_entropy: 0.863, recall: 0.9633, relative_absolute_error: 0.1408, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9653, kappa: 0.915, kb_relative_information_score: 29526.4224, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9653, predictive_accuracy: 0.9654, prior_entropy: 0.863, recall: 0.9654, relative_absolute_error: 0.151, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.3598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.8901, kappa: 0.734, kb_relative_information_score: 21125.5012, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8923, predictive_accuracy: 0.8889, prior_entropy: 0.863, recall: 0.8889, relative_absolute_error: 0.3877, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.6338,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs