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: 0.99, f_measure: 0.9575, kappa: 0.8957, kb_relative_information_score: 28836.3844, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9575, predictive_accuracy: 0.9576, prior_entropy: 0.863, recall: 0.9576, relative_absolute_error: 0.1684, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.3986, scimark_benchmark: 1730.591, usercpu_time_millis: 3856.981, usercpu_time_millis_testing: 7.823, usercpu_time_millis_training: 3849.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.946, kappa: 0.8673, kb_relative_information_score: 27037.6203, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9459, predictive_accuracy: 0.9462, prior_entropy: 0.863, recall: 0.9462, relative_absolute_error: 0.2233, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4482, scimark_benchmark: 1729.8146, usercpu_time_millis: 1429.423, usercpu_time_millis_testing: 3.434, usercpu_time_millis_training: 1425.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9495, kappa: 0.8761, kb_relative_information_score: 27071.1996, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9494, predictive_accuracy: 0.9496, prior_entropy: 0.863, recall: 0.9496, relative_absolute_error: 0.2252, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.4385, scimark_benchmark: 1740.3478, usercpu_time_millis: 1173.689, usercpu_time_millis_testing: 9.089, usercpu_time_millis_training: 1164.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9237, kappa: 0.809, kb_relative_information_score: 24802.929, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9265, predictive_accuracy: 0.9257, prior_entropy: 0.863, recall: 0.9257, relative_absolute_error: 0.2884, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.23, root_relative_squared_error: 0.5092, scimark_benchmark: 1719.9254, usercpu_time_millis: 3423.123, usercpu_time_millis_testing: 11.932, usercpu_time_millis_training: 3411.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9167, kappa: 0.7903, kb_relative_information_score: 24199.3686, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.922, predictive_accuracy: 0.9196, prior_entropy: 0.863, recall: 0.9196, relative_absolute_error: 0.3111, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.5215, scimark_benchmark: 1721.6002, usercpu_time_millis: 879.541, usercpu_time_millis_testing: 5.693, usercpu_time_millis_training: 873.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9503, kappa: 0.8782, kb_relative_information_score: 27965.1406, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9503, predictive_accuracy: 0.9503, prior_entropy: 0.863, recall: 0.9503, relative_absolute_error: 0.1943, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.4265, scimark_benchmark: 1763.9312, usercpu_time_millis: 5069.294, usercpu_time_millis_testing: 11.224, usercpu_time_millis_training: 5058.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9367, kappa: 0.843, kb_relative_information_score: 25716.101, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.937, predictive_accuracy: 0.9374, prior_entropy: 0.863, recall: 0.9374, relative_absolute_error: 0.2616, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.4843, scimark_benchmark: 1726.9824, usercpu_time_millis: 629.281, usercpu_time_millis_testing: 3.544, usercpu_time_millis_training: 625.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.8614, kappa: 0.6636, kb_relative_information_score: 17069.4126, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8632, predictive_accuracy: 0.8602, prior_entropy: 0.863, recall: 0.8602, relative_absolute_error: 0.5147, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.6955, scimark_benchmark: 1732.9618, usercpu_time_millis: 435.232, usercpu_time_millis_testing: 5.663, usercpu_time_millis_training: 429.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9672, kappa: 0.9195, kb_relative_information_score: 29592.2634, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9672, predictive_accuracy: 0.9672, prior_entropy: 0.863, recall: 0.9672, relative_absolute_error: 0.1503, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3565, scimark_benchmark: 1722.6502, usercpu_time_millis: 391.196, usercpu_time_millis_testing: 2.503, usercpu_time_millis_training: 388.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9582, kappa: 0.8976, kb_relative_information_score: 28333.4594, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9582, predictive_accuracy: 0.9582, prior_entropy: 0.863, recall: 0.9582, relative_absolute_error: 0.1866, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.4013, scimark_benchmark: 1703.8916, usercpu_time_millis: 2714.119, usercpu_time_millis_testing: 16.442, usercpu_time_millis_training: 2697.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9314, kappa: 0.8297, kb_relative_information_score: 25212.9119, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9319, predictive_accuracy: 0.9323, prior_entropy: 0.863, recall: 0.9323, relative_absolute_error: 0.271, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.5032, scimark_benchmark: 1733.0173, usercpu_time_millis: 3370.786, usercpu_time_millis_testing: 9.447, usercpu_time_millis_training: 3361.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9578, kappa: 0.8965, kb_relative_information_score: 28672.367, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.863, recall: 0.9578, relative_absolute_error: 0.1745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3992, scimark_benchmark: 1738.6425, usercpu_time_millis: 217.907, usercpu_time_millis_testing: 1, usercpu_time_millis_training: 216.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9258, kappa: 0.8146, kb_relative_information_score: 24958.1046, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.928, predictive_accuracy: 0.9276, prior_entropy: 0.863, recall: 0.9276, relative_absolute_error: 0.2806, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.23, root_relative_squared_error: 0.5091, scimark_benchmark: 1738.2915, usercpu_time_millis: 184.639, usercpu_time_millis_testing: 0.913, usercpu_time_millis_training: 183.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9041, kappa: 0.7613, kb_relative_information_score: 19977.1406, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9046, predictive_accuracy: 0.9058, prior_entropy: 0.863, recall: 0.9058, relative_absolute_error: 0.4505, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.5839, scimark_benchmark: 1729.2995, usercpu_time_millis: 88.642, usercpu_time_millis_testing: 1.991, usercpu_time_millis_training: 86.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9662, kappa: 0.917, kb_relative_information_score: 29376.204, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9661, predictive_accuracy: 0.9662, prior_entropy: 0.863, recall: 0.9662, relative_absolute_error: 0.1574, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.3624, scimark_benchmark: 1721.2408, usercpu_time_millis: 1689.215, usercpu_time_millis_testing: 9.927, usercpu_time_millis_training: 1679.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9219, kappa: 0.8044, kb_relative_information_score: 24755.5058, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9249, predictive_accuracy: 0.924, prior_entropy: 0.863, recall: 0.924, relative_absolute_error: 0.2876, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.5137, scimark_benchmark: 1721.2231, usercpu_time_millis: 1650.85, usercpu_time_millis_testing: 5.855, usercpu_time_millis_training: 1644.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9635, kappa: 0.9105, kb_relative_information_score: 29217.7518, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9635, predictive_accuracy: 0.9636, prior_entropy: 0.863, recall: 0.9636, relative_absolute_error: 0.1599, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.3737, scimark_benchmark: 1734.2006, usercpu_time_millis: 1591.185, usercpu_time_millis_testing: 6.449, usercpu_time_millis_training: 1584.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8672, kappa: 0.6777, kb_relative_information_score: 17367.8531, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8689, predictive_accuracy: 0.866, prior_entropy: 0.863, recall: 0.866, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.686, scimark_benchmark: 1733.4739, usercpu_time_millis: 1974.132, usercpu_time_millis_testing: 9.379, usercpu_time_millis_training: 1964.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9127, kappa: 0.7832, kb_relative_information_score: 22854.4436, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9129, predictive_accuracy: 0.9139, prior_entropy: 0.863, recall: 0.9139, relative_absolute_error: 0.3554, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2461, root_relative_squared_error: 0.5447, scimark_benchmark: 1761.8172, usercpu_time_millis: 1160.921, usercpu_time_millis_testing: 10.248, usercpu_time_millis_training: 1150.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9528, kappa: 0.8842, kb_relative_information_score: 27475.156, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9528, predictive_accuracy: 0.9529, prior_entropy: 0.863, recall: 0.9529, relative_absolute_error: 0.2134, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.4277, scimark_benchmark: 1716.2057, usercpu_time_millis: 1765.875, usercpu_time_millis_testing: 16.588, usercpu_time_millis_training: 1749.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8646, kappa: 0.6722, kb_relative_information_score: 17418.5141, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.867, predictive_accuracy: 0.8632, prior_entropy: 0.863, recall: 0.8632, relative_absolute_error: 0.5021, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.687, scimark_benchmark: 1726.6494, usercpu_time_millis: 989.435, usercpu_time_millis_testing: 7.765, usercpu_time_millis_training: 981.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9549, kappa: 0.8894, kb_relative_information_score: 27813.7825, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9549, predictive_accuracy: 0.9549, prior_entropy: 0.863, recall: 0.9549, relative_absolute_error: 0.2026, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.4152, scimark_benchmark: 1840.2451, usercpu_time_millis: 1500.121, usercpu_time_millis_testing: 12.029, usercpu_time_millis_training: 1488.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9551, kappa: 0.89, kb_relative_information_score: 27928.5873, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9551, predictive_accuracy: 0.9551, prior_entropy: 0.863, recall: 0.9551, relative_absolute_error: 0.1987, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.4131, scimark_benchmark: 1705.52, usercpu_time_millis: 1488.119, usercpu_time_millis_testing: 10.775, usercpu_time_millis_training: 1477.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9274, kappa: 0.8187, kb_relative_information_score: 24794.8039, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9293, predictive_accuracy: 0.929, prior_entropy: 0.863, recall: 0.929, relative_absolute_error: 0.294, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.5014, scimark_benchmark: 1729.2934, usercpu_time_millis: 696.565, usercpu_time_millis_testing: 7.439, usercpu_time_millis_training: 689.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9608, kappa: 0.9038, kb_relative_information_score: 28828.6254, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9607, predictive_accuracy: 0.9608, prior_entropy: 0.863, recall: 0.9608, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.3864, scimark_benchmark: 1732.3816, usercpu_time_millis: 2673.897, usercpu_time_millis_testing: 11.389, usercpu_time_millis_training: 2662.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9196, kappa: 0.7984, kb_relative_information_score: 24684.0612, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9231, predictive_accuracy: 0.922, prior_entropy: 0.863, recall: 0.922, relative_absolute_error: 0.2888, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.234, root_relative_squared_error: 0.5179, scimark_benchmark: 1717.8888, usercpu_time_millis: 551.207, usercpu_time_millis_testing: 1.883, usercpu_time_millis_training: 549.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9512, kappa: 0.8801, kb_relative_information_score: 27122.1835, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9511, predictive_accuracy: 0.9513, prior_entropy: 0.863, recall: 0.9513, relative_absolute_error: 0.2252, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.4349, scimark_benchmark: 1720.0229, usercpu_time_millis: 523.985, usercpu_time_millis_testing: 14.022, usercpu_time_millis_training: 509.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.8666, kappa: 0.677, kb_relative_information_score: 17303.4184, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8689, predictive_accuracy: 0.8653, prior_entropy: 0.863, recall: 0.8653, relative_absolute_error: 0.5056, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3106, root_relative_squared_error: 0.6875, scimark_benchmark: 1731.9462, usercpu_time_millis: 455.831, usercpu_time_millis_testing: 3.71, usercpu_time_millis_training: 452.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9468, kappa: 0.8691, kb_relative_information_score: 26619.8173, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9468, predictive_accuracy: 0.9471, prior_entropy: 0.863, recall: 0.9471, relative_absolute_error: 0.2403, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.4475, scimark_benchmark: 1712.7688, usercpu_time_millis: 383.965, usercpu_time_millis_testing: 10.109, usercpu_time_millis_training: 373.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9522, kappa: 0.8826, kb_relative_information_score: 27480.1318, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9521, predictive_accuracy: 0.9523, prior_entropy: 0.863, recall: 0.9523, relative_absolute_error: 0.2138, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.428, scimark_benchmark: 1714.7898, usercpu_time_millis: 1022.591, usercpu_time_millis_testing: 8.927, usercpu_time_millis_training: 1013.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9628, kappa: 0.9087, kb_relative_information_score: 28891.9443, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9628, predictive_accuracy: 0.9629, prior_entropy: 0.863, recall: 0.9629, relative_absolute_error: 0.172, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.171, root_relative_squared_error: 0.3785, scimark_benchmark: 1696.5212, usercpu_time_millis: 976.279, usercpu_time_millis_testing: 10.849, usercpu_time_millis_training: 965.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.8581, kappa: 0.6523, kb_relative_information_score: 15493.5629, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8581, prior_entropy: 0.863, recall: 0.8581, relative_absolute_error: 0.5772, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.738, scimark_benchmark: 1724.0704, usercpu_time_millis: 247.923, usercpu_time_millis_testing: 7.526, usercpu_time_millis_training: 240.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9197, kappa: 0.7985, kb_relative_information_score: 22637.1723, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9237, predictive_accuracy: 0.9222, prior_entropy: 0.863, recall: 0.9222, relative_absolute_error: 0.3731, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2401, root_relative_squared_error: 0.5316, scimark_benchmark: 1728.354, usercpu_time_millis: 174.444, usercpu_time_millis_testing: 4.054, usercpu_time_millis_training: 170.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9244, kappa: 0.8109, kb_relative_information_score: 24820.7623, mean_absolute_error: 0.1175, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9272, predictive_accuracy: 0.9264, prior_entropy: 0.863, recall: 0.9264, relative_absolute_error: 0.2879, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.509, scimark_benchmark: 1730.5828, usercpu_time_millis: 2216.738, usercpu_time_millis_testing: 11.843, usercpu_time_millis_training: 2204.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9375, kappa: 0.8452, kb_relative_information_score: 25818.3234, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9379, predictive_accuracy: 0.9383, prior_entropy: 0.863, recall: 0.9383, relative_absolute_error: 0.261, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.216, root_relative_squared_error: 0.4783, scimark_benchmark: 1718.2275, usercpu_time_millis: 125.082, usercpu_time_millis_testing: 1.844, usercpu_time_millis_training: 123.238,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9062, kappa: 0.7658, kb_relative_information_score: 15001.7579, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9076, predictive_accuracy: 0.9084, prior_entropy: 0.863, recall: 0.9084, relative_absolute_error: 0.6015, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6768, scimark_benchmark: 1457.0291, usercpu_time_millis: 103.007, usercpu_time_millis_testing: 8.431, usercpu_time_millis_training: 94.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.969, kappa: 0.9239, kb_relative_information_score: 29986.4571, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.863, recall: 0.969, relative_absolute_error: 0.1379, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.3441, scimark_benchmark: 1448.024, usercpu_time_millis: 6697.607, usercpu_time_millis_testing: 26.388, usercpu_time_millis_training: 6671.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9495, kappa: 0.8762, kb_relative_information_score: 27582.4132, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9495, predictive_accuracy: 0.9496, prior_entropy: 0.863, recall: 0.9496, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4338, scimark_benchmark: 1450.3923, usercpu_time_millis: 10000.041, usercpu_time_millis_testing: 19.241, usercpu_time_millis_training: 9980.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9649, kappa: 0.9139, kb_relative_information_score: 29204.2764, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.965, prior_entropy: 0.863, recall: 0.965, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.3684, scimark_benchmark: 1460.5628, usercpu_time_millis: 1148.87, usercpu_time_millis_testing: 6.975, usercpu_time_millis_training: 1141.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -4.5503, 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: 1451.045, usercpu_time_millis: 32.569, usercpu_time_millis_testing: 4.253, usercpu_time_millis_training: 28.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.6451, 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: 1464.7587, usercpu_time_millis: 29.404, usercpu_time_millis_testing: 4.345, usercpu_time_millis_training: 25.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9427, kappa: 0.8586, kb_relative_information_score: 26271.9625, mean_absolute_error: 0.1004, 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: 0.2461, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.4672, scimark_benchmark: 1468.0537, usercpu_time_millis: 409.419, usercpu_time_millis_testing: 1.863, usercpu_time_millis_training: 407.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9187, kappa: 0.7957, kb_relative_information_score: 24560.9986, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9228, predictive_accuracy: 0.9213, prior_entropy: 0.863, recall: 0.9213, relative_absolute_error: 0.2976, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.5135, scimark_benchmark: 1461.1972, usercpu_time_millis: 3048.151, usercpu_time_millis_testing: 11.581, usercpu_time_millis_training: 3036.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9543, kappa: 0.8877, kb_relative_information_score: 27033.8787, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9543, predictive_accuracy: 0.9545, prior_entropy: 0.863, recall: 0.9545, relative_absolute_error: 0.2306, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.4271, scimark_benchmark: 1457.7752, usercpu_time_millis: 94.024, usercpu_time_millis_testing: 1.31, usercpu_time_millis_training: 92.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9249, kappa: 0.8131, kb_relative_information_score: 24988.1745, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9258, predictive_accuracy: 0.9262, prior_entropy: 0.863, recall: 0.9262, relative_absolute_error: 0.2755, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.5151, scimark_benchmark: 1457.2059, usercpu_time_millis: 7305.107, usercpu_time_millis_testing: 12.092, usercpu_time_millis_training: 7293.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9667, kappa: 0.9183, kb_relative_information_score: 29402.9943, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9667, predictive_accuracy: 0.9667, prior_entropy: 0.863, recall: 0.9667, relative_absolute_error: 0.1574, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.3563, scimark_benchmark: 1462.847, usercpu_time_millis: 2302.725, usercpu_time_millis_testing: 22.614, usercpu_time_millis_training: 2280.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9617, kappa: 0.906, kb_relative_information_score: 28941.7937, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9617, predictive_accuracy: 0.9617, prior_entropy: 0.863, recall: 0.9617, relative_absolute_error: 0.1688, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.3828, scimark_benchmark: 1461.1865, usercpu_time_millis: 735.746, usercpu_time_millis_testing: 2.342, usercpu_time_millis_training: 733.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9688, kappa: 0.9234, kb_relative_information_score: 29924.7479, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9688, predictive_accuracy: 0.9688, prior_entropy: 0.863, recall: 0.9688, relative_absolute_error: 0.1398, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.3465, scimark_benchmark: 1464.9303, usercpu_time_millis: 4428.24, usercpu_time_millis_testing: 12.652, usercpu_time_millis_training: 4415.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9095, kappa: 0.7753, kb_relative_information_score: 20817.419, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9098, predictive_accuracy: 0.9109, prior_entropy: 0.863, recall: 0.9109, relative_absolute_error: 0.4211, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.582, scimark_benchmark: 1465.302, usercpu_time_millis: 1080.887, usercpu_time_millis_testing: 6.239, usercpu_time_millis_training: 1074.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9313, kappa: 0.829, kb_relative_information_score: 21627.0162, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9324, predictive_accuracy: 0.9325, prior_entropy: 0.863, recall: 0.9325, relative_absolute_error: 0.4098, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.5385, scimark_benchmark: 1454.4235, usercpu_time_millis: 50.492, usercpu_time_millis_testing: 1.38, usercpu_time_millis_training: 49.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9631, kappa: 0.9095, kb_relative_information_score: 29058.3927, mean_absolute_error: 0.0677, 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: 0.1659, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.3762, scimark_benchmark: 1449.8224, usercpu_time_millis: 2690.545, usercpu_time_millis_testing: 8.268, usercpu_time_millis_training: 2682.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9197, kappa: 0.7983, kb_relative_information_score: 23544.1368, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9237, predictive_accuracy: 0.9222, prior_entropy: 0.863, recall: 0.9222, relative_absolute_error: 0.3413, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.5188, scimark_benchmark: 1454.8065, usercpu_time_millis: 354.446, usercpu_time_millis_testing: 4.517, usercpu_time_millis_training: 349.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -2.4214, 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: 1455.7938, usercpu_time_millis: 23.812, usercpu_time_millis_testing: 2.048, usercpu_time_millis_training: 21.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9598, kappa: 0.9014, kb_relative_information_score: 28567.6553, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9598, predictive_accuracy: 0.9599, prior_entropy: 0.863, recall: 0.9599, relative_absolute_error: 0.181, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3933, scimark_benchmark: 1454.4868, usercpu_time_millis: 4033.13, usercpu_time_millis_testing: 16.428, usercpu_time_millis_training: 4016.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9692, kappa: 0.9245, kb_relative_information_score: 30006.1581, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9692, predictive_accuracy: 0.9692, prior_entropy: 0.863, recall: 0.9692, relative_absolute_error: 0.1371, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.3427, scimark_benchmark: 1466.2833, usercpu_time_millis: 5768.923, usercpu_time_millis_testing: 28.815, usercpu_time_millis_training: 5740.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9571, kappa: 0.8949, kb_relative_information_score: 28163.746, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9571, predictive_accuracy: 0.9572, prior_entropy: 0.863, recall: 0.9572, relative_absolute_error: 0.1925, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.183, root_relative_squared_error: 0.4051, scimark_benchmark: 1468.4209, usercpu_time_millis: 2540.708, usercpu_time_millis_testing: 16.398, usercpu_time_millis_training: 2524.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9698, kappa: 0.926, kb_relative_information_score: 30132.724, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9698, predictive_accuracy: 0.9699, prior_entropy: 0.863, recall: 0.9699, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.3407, scimark_benchmark: 1462.8485, usercpu_time_millis: 1934.858, usercpu_time_millis_testing: 7.332, usercpu_time_millis_training: 1927.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.928, kappa: 0.8193, kb_relative_information_score: 19025.5451, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9327, predictive_accuracy: 0.9304, prior_entropy: 0.863, recall: 0.9304, relative_absolute_error: 0.5086, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.5847, scimark_benchmark: 1462.553, usercpu_time_millis: 59.453, usercpu_time_millis_testing: 2.966, usercpu_time_millis_training: 56.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9668, kappa: 0.9184, kb_relative_information_score: 29840.0188, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9667, predictive_accuracy: 0.9668, prior_entropy: 0.863, recall: 0.9668, relative_absolute_error: 0.1405, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.3577, scimark_benchmark: 1461.9579, usercpu_time_millis: 297.181, usercpu_time_millis_testing: 0.871, usercpu_time_millis_training: 296.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9665, kappa: 0.9177, kb_relative_information_score: 29423.3788, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9665, predictive_accuracy: 0.9665, prior_entropy: 0.863, recall: 0.9665, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.3588, scimark_benchmark: 1458.0859, usercpu_time_millis: 1588.888, usercpu_time_millis_testing: 11.281, usercpu_time_millis_training: 1577.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.866, kappa: 0.6753, kb_relative_information_score: 17382.1107, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8681, predictive_accuracy: 0.8646, prior_entropy: 0.863, recall: 0.8646, relative_absolute_error: 0.5037, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6862, scimark_benchmark: 1463.7782, usercpu_time_millis: 786.692, usercpu_time_millis_testing: 4.066, usercpu_time_millis_training: 782.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9395, kappa: 0.8504, kb_relative_information_score: 25871.7932, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9396, predictive_accuracy: 0.9401, prior_entropy: 0.863, recall: 0.9401, relative_absolute_error: 0.2621, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.47, scimark_benchmark: 1461.5688, usercpu_time_millis: 69.199, usercpu_time_millis_testing: 1.415, usercpu_time_millis_training: 67.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.8817, kappa: 0.7018, kb_relative_information_score: 13625.2323, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.886, predictive_accuracy: 0.8862, prior_entropy: 0.863, recall: 0.8862, relative_absolute_error: 0.649, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.7133, scimark_benchmark: 1448.2335, usercpu_time_millis: 145.965, usercpu_time_millis_testing: 8.335, usercpu_time_millis_training: 137.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.8702, kappa: 0.6838, kb_relative_information_score: 17554.5597, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8712, predictive_accuracy: 0.8694, prior_entropy: 0.863, recall: 0.8694, relative_absolute_error: 0.506, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6682, scimark_benchmark: 1461.5964, usercpu_time_millis: 20.942, usercpu_time_millis_testing: 0.547, usercpu_time_millis_training: 20.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9443, kappa: 0.8628, kb_relative_information_score: 26616.9381, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9442, predictive_accuracy: 0.9446, prior_entropy: 0.863, recall: 0.9446, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.4608, scimark_benchmark: 1464.0273, usercpu_time_millis: 9163.102, usercpu_time_millis_testing: 18.777, usercpu_time_millis_training: 9144.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9648, kappa: 0.9135, kb_relative_information_score: 29135.8791, mean_absolute_error: 0.0672, 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: 0.1647, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.167, root_relative_squared_error: 0.3698, scimark_benchmark: 1449.7072, usercpu_time_millis: 444.746, usercpu_time_millis_testing: 2.96, usercpu_time_millis_training: 441.786,

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