Task
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: 0.984, f_measure: 0.9234, kappa: 0.8075, kb_relative_information_score: 18525.3549, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9286, predictive_accuracy: 0.9261, prior_entropy: 0.863, recall: 0.9261, relative_absolute_error: 0.521, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2699, root_relative_squared_error: 0.5975, scimark_benchmark: 1260.0372, usercpu_time_millis: 500.89, usercpu_time_millis_testing: 36.527, usercpu_time_millis_training: 464.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.9379, kappa: 0.8479, kb_relative_information_score: 28701.9021, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9379, predictive_accuracy: 0.9379, prior_entropy: 0.863, recall: 0.9379, relative_absolute_error: 0.1548, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.5256, scimark_benchmark: 1264.7028, usercpu_time_millis: 40.018, usercpu_time_millis_testing: 2.327, usercpu_time_millis_training: 37.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9667, kappa: 0.918, kb_relative_information_score: 28775.8814, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9666, predictive_accuracy: 0.9668, prior_entropy: 0.863, recall: 0.9668, relative_absolute_error: 0.1817, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.3624, scimark_benchmark: 1268.007, usercpu_time_millis: 320.241, usercpu_time_millis_testing: 15.052, usercpu_time_millis_training: 305.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9399, kappa: 0.8509, kb_relative_information_score: 23893.1838, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9404, predictive_accuracy: 0.9407, prior_entropy: 0.863, recall: 0.9407, relative_absolute_error: 0.3382, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.4911, scimark_benchmark: 1275.4684, usercpu_time_millis: 1068.485, usercpu_time_millis_testing: 73.106, usercpu_time_millis_training: 995.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9691, kappa: 0.9241, kb_relative_information_score: 29411.1957, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9691, predictive_accuracy: 0.9692, prior_entropy: 0.863, recall: 0.9692, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.3481, scimark_benchmark: 1247.011, usercpu_time_millis: 506.056, usercpu_time_millis_testing: 16.482, usercpu_time_millis_training: 489.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9599, kappa: 0.9014, kb_relative_information_score: 27815.4351, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9599, predictive_accuracy: 0.9601, prior_entropy: 0.863, recall: 0.9601, relative_absolute_error: 0.2104, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.3955, scimark_benchmark: 1268.9827, usercpu_time_millis: 2369.974, usercpu_time_millis_testing: 91.889, usercpu_time_millis_training: 2278.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9675, kappa: 0.92, kb_relative_information_score: 28947.2013, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9676, prior_entropy: 0.863, recall: 0.9676, relative_absolute_error: 0.1754, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.3594, scimark_benchmark: 1269.3851, usercpu_time_millis: 822.612, usercpu_time_millis_testing: 36.17, usercpu_time_millis_training: 786.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9542, kappa: 0.8871, kb_relative_information_score: 26882.3184, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9542, predictive_accuracy: 0.9544, prior_entropy: 0.863, recall: 0.9544, relative_absolute_error: 0.2387, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.4237, scimark_benchmark: 1266.3477, usercpu_time_millis: 1244.289, usercpu_time_millis_testing: 48.236, usercpu_time_millis_training: 1196.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9635, kappa: 0.9103, kb_relative_information_score: 28614.057, mean_absolute_error: 0.0752, 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: 0.1843, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.3743, scimark_benchmark: 1258.319, usercpu_time_millis: 1224.858, usercpu_time_millis_testing: 50.943, usercpu_time_millis_training: 1173.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9582, kappa: 0.8968, kb_relative_information_score: 26068.8867, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9585, predictive_accuracy: 0.9586, prior_entropy: 0.863, recall: 0.9586, relative_absolute_error: 0.2749, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.4247, scimark_benchmark: 1254.3037, usercpu_time_millis: 58.092, usercpu_time_millis_testing: 3.875, usercpu_time_millis_training: 54.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9362, kappa: 0.8421, kb_relative_information_score: 25451.8537, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9364, predictive_accuracy: 0.9369, prior_entropy: 0.863, recall: 0.9369, relative_absolute_error: 0.2748, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.4824, scimark_benchmark: 1273.8123, usercpu_time_millis: 2058.729, usercpu_time_millis_testing: 28.462, usercpu_time_millis_training: 2030.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9705, kappa: 0.9275, kb_relative_information_score: 29381.7595, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9705, predictive_accuracy: 0.9706, prior_entropy: 0.863, recall: 0.9706, relative_absolute_error: 0.1622, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.3434, scimark_benchmark: 1261.6522, usercpu_time_millis: 557.4, usercpu_time_millis_testing: 24.515, usercpu_time_millis_training: 532.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9273, kappa: 0.8173, kb_relative_information_score: 18903.2318, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9321, predictive_accuracy: 0.9297, prior_entropy: 0.863, recall: 0.9297, relative_absolute_error: 0.5119, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2654, root_relative_squared_error: 0.5875, scimark_benchmark: 1265.4533, usercpu_time_millis: 544.923, usercpu_time_millis_testing: 38.862, usercpu_time_millis_training: 506.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9315, kappa: 0.8282, kb_relative_information_score: 19385.6157, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9356, predictive_accuracy: 0.9336, prior_entropy: 0.863, recall: 0.9336, relative_absolute_error: 0.4976, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2602, root_relative_squared_error: 0.5761, scimark_benchmark: 1268.7101, usercpu_time_millis: 1402.621, usercpu_time_millis_testing: 98.457, usercpu_time_millis_training: 1304.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.96, kappa: 0.9017, kb_relative_information_score: 27999.6718, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.96, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.2033, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.178, root_relative_squared_error: 0.394, scimark_benchmark: 1267.2099, usercpu_time_millis: 861.57, usercpu_time_millis_testing: 51.191, usercpu_time_millis_training: 810.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9409, kappa: 0.8538, kb_relative_information_score: 25639.692, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9412, predictive_accuracy: 0.9416, prior_entropy: 0.863, recall: 0.9416, relative_absolute_error: 0.2731, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4677, scimark_benchmark: 1269.963, usercpu_time_millis: 1849.906, usercpu_time_millis_testing: 69.6, usercpu_time_millis_training: 1780.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9481, kappa: 0.8718, kb_relative_information_score: 26053.8434, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9482, predictive_accuracy: 0.9485, prior_entropy: 0.863, recall: 0.9485, relative_absolute_error: 0.264, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.4478, scimark_benchmark: 1273.6695, usercpu_time_millis: 2733.952, usercpu_time_millis_testing: 74.764, usercpu_time_millis_training: 2659.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9559, kappa: 0.8912, kb_relative_information_score: 26681.0115, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.956, predictive_accuracy: 0.9562, prior_entropy: 0.863, recall: 0.9562, relative_absolute_error: 0.2491, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.4208, scimark_benchmark: 1266.6171, usercpu_time_millis: 308.369, usercpu_time_millis_testing: 16.905, usercpu_time_millis_training: 291.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9624, kappa: 0.9077, kb_relative_information_score: 29523.8292, mean_absolute_error: 0.0597, 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: 0.1464, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3831, scimark_benchmark: 1270.5648, usercpu_time_millis: 65.161, usercpu_time_millis_testing: 2.891, usercpu_time_millis_training: 62.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.959, kappa: 0.8993, kb_relative_information_score: 28198.1577, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9589, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.193, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.3974, scimark_benchmark: 1264.3404, usercpu_time_millis: 1542.122, usercpu_time_millis_testing: 22.69, usercpu_time_millis_training: 1519.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9589, kappa: 0.8985, kb_relative_information_score: 26008.0501, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9592, predictive_accuracy: 0.9593, prior_entropy: 0.863, recall: 0.9593, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.421, scimark_benchmark: 1259.9042, usercpu_time_millis: 824.327, usercpu_time_millis_testing: 51.937, usercpu_time_millis_training: 772.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.8827, kappa: 0.7026, kb_relative_information_score: 12687.0873, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8922, predictive_accuracy: 0.8888, prior_entropy: 0.863, recall: 0.8888, relative_absolute_error: 0.672, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.7244, scimark_benchmark: 1251.6103, usercpu_time_millis: 228.228, usercpu_time_millis_testing: 16.553, usercpu_time_millis_training: 211.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9622, kappa: 0.907, kb_relative_information_score: 28388.2734, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9622, predictive_accuracy: 0.9623, prior_entropy: 0.863, recall: 0.9623, relative_absolute_error: 0.1909, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3831, scimark_benchmark: 1269.7683, usercpu_time_millis: 340.23, usercpu_time_millis_testing: 15.849, usercpu_time_millis_training: 324.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9609, kappa: 0.9038, kb_relative_information_score: 28172.1281, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9608, predictive_accuracy: 0.961, prior_entropy: 0.863, recall: 0.961, relative_absolute_error: 0.1975, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.176, root_relative_squared_error: 0.3895, scimark_benchmark: 1272.5668, usercpu_time_millis: 1834.098, usercpu_time_millis_testing: 77.761, usercpu_time_millis_training: 1756.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9564, kappa: 0.8922, kb_relative_information_score: 26263.807, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9566, predictive_accuracy: 0.9567, prior_entropy: 0.863, recall: 0.9567, relative_absolute_error: 0.2652, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.4263, scimark_benchmark: 1244.9342, usercpu_time_millis: 1361.403, usercpu_time_millis_testing: 62.057, usercpu_time_millis_training: 1299.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9551, kappa: 0.8893, kb_relative_information_score: 27006.8094, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9551, predictive_accuracy: 0.9553, prior_entropy: 0.863, recall: 0.9553, relative_absolute_error: 0.2347, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.42, scimark_benchmark: 1260.6326, usercpu_time_millis: 2290.794, usercpu_time_millis_testing: 65.868, usercpu_time_millis_training: 2224.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9291, kappa: 0.8219, kb_relative_information_score: 19145.7555, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9334, predictive_accuracy: 0.9313, prior_entropy: 0.863, recall: 0.9313, relative_absolute_error: 0.5039, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.582, scimark_benchmark: 1269.7319, usercpu_time_millis: 372.293, usercpu_time_millis_testing: 27.466, usercpu_time_millis_training: 344.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9534, kappa: 0.8845, kb_relative_information_score: 24965.063, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9538, predictive_accuracy: 0.9539, prior_entropy: 0.863, recall: 0.9539, relative_absolute_error: 0.3112, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.4512, scimark_benchmark: 1273.2768, usercpu_time_millis: 1301.286, usercpu_time_millis_testing: 79.188, usercpu_time_millis_training: 1222.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9347, kappa: 0.8382, kb_relative_information_score: 25347.822, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9351, predictive_accuracy: 0.9356, prior_entropy: 0.863, recall: 0.9356, relative_absolute_error: 0.2772, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.4881, scimark_benchmark: 1258.1594, usercpu_time_millis: 1041.172, usercpu_time_millis_testing: 18.728, usercpu_time_millis_training: 1022.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9548, kappa: 0.889, kb_relative_information_score: 27714.333, mean_absolute_error: 0.0846, 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: 0.2073, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.415, scimark_benchmark: 1254.8061, usercpu_time_millis: 1018.054, usercpu_time_millis_testing: 30.087, usercpu_time_millis_training: 987.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9607, kappa: 0.9033, kb_relative_information_score: 28088.199, mean_absolute_error: 0.0821, 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: 0.2011, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.3899, scimark_benchmark: 1265.9511, usercpu_time_millis: 1934.838, usercpu_time_millis_testing: 102.254, usercpu_time_millis_training: 1832.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.963, kappa: 0.9091, kb_relative_information_score: 28584.0187, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.963, predictive_accuracy: 0.9631, prior_entropy: 0.863, recall: 0.9631, relative_absolute_error: 0.1845, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.3769, scimark_benchmark: 1270.2269, usercpu_time_millis: 2365.256, usercpu_time_millis_testing: 66.287, usercpu_time_millis_training: 2298.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9472, kappa: 0.8693, kb_relative_information_score: 25391.2899, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9475, predictive_accuracy: 0.9478, prior_entropy: 0.863, recall: 0.9478, relative_absolute_error: 0.2893, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.4567, scimark_benchmark: 1268.0712, usercpu_time_millis: 211.398, usercpu_time_millis_testing: 9.43, usercpu_time_millis_training: 201.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9671, kappa: 0.9193, kb_relative_information_score: 29594.2647, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9671, predictive_accuracy: 0.9672, prior_entropy: 0.863, recall: 0.9672, relative_absolute_error: 0.151, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.3525, scimark_benchmark: 1254.8605, usercpu_time_millis: 692.83, usercpu_time_millis_testing: 13.94, usercpu_time_millis_training: 678.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9241, kappa: 0.8092, kb_relative_information_score: 18719.6458, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.929, predictive_accuracy: 0.9266, prior_entropy: 0.863, recall: 0.9266, relative_absolute_error: 0.5146, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.5936, scimark_benchmark: 1271.4481, usercpu_time_millis: 80.567, usercpu_time_millis_testing: 5.469, usercpu_time_millis_training: 75.098,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9013, kappa: 0.7501, kb_relative_information_score: 16309.3969, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9104, predictive_accuracy: 0.906, prior_entropy: 0.863, recall: 0.906, relative_absolute_error: 0.5826, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.6485, scimark_benchmark: 1267.3919, usercpu_time_millis: 277.369, usercpu_time_millis_testing: 19.187, usercpu_time_millis_training: 258.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9612, kappa: 0.9046, kb_relative_information_score: 28419.9074, mean_absolute_error: 0.0771, 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: 0.189, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.3855, scimark_benchmark: 1262.0113, usercpu_time_millis: 103.878, usercpu_time_millis_testing: 6.246, usercpu_time_millis_training: 97.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9548, kappa: 0.888, kb_relative_information_score: 25138.6615, mean_absolute_error: 0.1248, 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: 0.3058, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.4464, scimark_benchmark: 1272.1232, usercpu_time_millis: 1185.314, usercpu_time_millis_testing: 67.336, usercpu_time_millis_training: 1117.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9595, kappa: 0.9, kb_relative_information_score: 26354.9034, mean_absolute_error: 0.1086, 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: 0.2661, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.4164, scimark_benchmark: 1268.7171, usercpu_time_millis: 70.266, usercpu_time_millis_testing: 4.369, usercpu_time_millis_training: 65.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9137, kappa: 0.7824, kb_relative_information_score: 17644.6187, mean_absolute_error: 0.2225, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9205, predictive_accuracy: 0.9172, prior_entropy: 0.863, recall: 0.9172, relative_absolute_error: 0.5452, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2794, root_relative_squared_error: 0.6184, scimark_benchmark: 1265.4887, usercpu_time_millis: 1034.234, usercpu_time_millis_testing: 76.545, usercpu_time_millis_training: 957.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9649, kappa: 0.9137, kb_relative_information_score: 28387.3597, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.9651, prior_entropy: 0.863, recall: 0.9651, relative_absolute_error: 0.1948, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.3725, scimark_benchmark: 1268.67, usercpu_time_millis: 993.015, usercpu_time_millis_testing: 49.557, usercpu_time_millis_training: 943.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9535, kappa: 0.8854, kb_relative_information_score: 26905.6476, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9535, predictive_accuracy: 0.9537, prior_entropy: 0.863, recall: 0.9537, relative_absolute_error: 0.2369, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.192, root_relative_squared_error: 0.4251, scimark_benchmark: 1279.9046, usercpu_time_millis: 2823.773, usercpu_time_millis_testing: 86.742, usercpu_time_millis_training: 2737.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9565, kappa: 0.8925, kb_relative_information_score: 25492.9338, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.957, prior_entropy: 0.863, recall: 0.957, relative_absolute_error: 0.2947, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.437, scimark_benchmark: 1271.5378, usercpu_time_millis: 1360.631, usercpu_time_millis_testing: 71.93, usercpu_time_millis_training: 1288.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9455, kappa: 0.8652, kb_relative_information_score: 25087.7577, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9459, predictive_accuracy: 0.9461, prior_entropy: 0.863, recall: 0.9461, relative_absolute_error: 0.2993, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.464, scimark_benchmark: 1262.5775, usercpu_time_millis: 1308.144, usercpu_time_millis_testing: 78.594, usercpu_time_millis_training: 1229.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.926, kappa: 0.814, kb_relative_information_score: 18780.534, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9308, predictive_accuracy: 0.9284, prior_entropy: 0.863, recall: 0.9284, relative_absolute_error: 0.5149, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2669, root_relative_squared_error: 0.5908, scimark_benchmark: 1269.3875, usercpu_time_millis: 875.863, usercpu_time_millis_testing: 63.47, usercpu_time_millis_training: 812.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9567, kappa: 0.8934, kb_relative_information_score: 27190.4569, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9567, predictive_accuracy: 0.957, prior_entropy: 0.863, recall: 0.957, relative_absolute_error: 0.23, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.4128, scimark_benchmark: 1268.6717, usercpu_time_millis: 2494.879, usercpu_time_millis_testing: 103.254, usercpu_time_millis_training: 2391.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9594, kappa: 0.9001, kb_relative_information_score: 27549.0056, mean_absolute_error: 0.0898, 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: 0.2201, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.4001, scimark_benchmark: 1279.5127, usercpu_time_millis: 1679.178, usercpu_time_millis_testing: 68.97, usercpu_time_millis_training: 1610.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9578, kappa: 0.8959, kb_relative_information_score: 26672.6871, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.958, predictive_accuracy: 0.9582, prior_entropy: 0.863, recall: 0.9582, relative_absolute_error: 0.252, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.4157, scimark_benchmark: 1270.0793, usercpu_time_millis: 775.881, usercpu_time_millis_testing: 38.99, usercpu_time_millis_training: 736.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9611, kappa: 0.9043, kb_relative_information_score: 27915.6977, mean_absolute_error: 0.085, 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: 0.2082, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3906, scimark_benchmark: 1269.2062, usercpu_time_millis: 509.376, usercpu_time_millis_testing: 22.091, usercpu_time_millis_training: 487.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9502, kappa: 0.8765, kb_relative_information_score: 24105.7323, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9507, predictive_accuracy: 0.9508, prior_entropy: 0.863, recall: 0.9508, relative_absolute_error: 0.3382, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.4732, scimark_benchmark: 1277.9746, usercpu_time_millis: 1403.946, usercpu_time_millis_testing: 93.242, usercpu_time_millis_training: 1310.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9502, kappa: 0.8772, kb_relative_information_score: 26283.8222, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9503, predictive_accuracy: 0.9506, prior_entropy: 0.863, recall: 0.9506, relative_absolute_error: 0.2568, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.4421, scimark_benchmark: 1268.5912, usercpu_time_millis: 854.123, usercpu_time_millis_testing: 34.203, usercpu_time_millis_training: 819.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9684, kappa: 0.9224, kb_relative_information_score: 29584.5608, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9683, predictive_accuracy: 0.9684, prior_entropy: 0.863, recall: 0.9684, relative_absolute_error: 0.1526, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.3468, scimark_benchmark: 1268.2684, usercpu_time_millis: 364.547, usercpu_time_millis_testing: 11.197, usercpu_time_millis_training: 353.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9474, kappa: 0.87, kb_relative_information_score: 25961.0347, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9475, predictive_accuracy: 0.9479, prior_entropy: 0.863, recall: 0.9479, relative_absolute_error: 0.2671, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.4502, scimark_benchmark: 1275.9168, usercpu_time_millis: 2950.509, usercpu_time_millis_testing: 80.47, usercpu_time_millis_training: 2870.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9456, kappa: 0.8653, kb_relative_information_score: 24537.057, mean_absolute_error: 0.1301, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.946, predictive_accuracy: 0.9463, prior_entropy: 0.863, recall: 0.9463, relative_absolute_error: 0.3189, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.4732, scimark_benchmark: 1274.1114, usercpu_time_millis: 1121.369, usercpu_time_millis_testing: 56.983, usercpu_time_millis_training: 1064.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9567, kappa: 0.8934, kb_relative_information_score: 27229.9186, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9567, predictive_accuracy: 0.9569, prior_entropy: 0.863, recall: 0.9569, relative_absolute_error: 0.2276, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.187, root_relative_squared_error: 0.414, scimark_benchmark: 1279.4951, usercpu_time_millis: 1003.628, usercpu_time_millis_testing: 30.003, usercpu_time_millis_training: 973.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9396, kappa: 0.8497, kb_relative_information_score: 21269.4241, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9408, predictive_accuracy: 0.9406, prior_entropy: 0.863, recall: 0.9406, relative_absolute_error: 0.427, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2442, root_relative_squared_error: 0.5407, scimark_benchmark: 1279.824, usercpu_time_millis: 1234.08, usercpu_time_millis_testing: 100.33, usercpu_time_millis_training: 1133.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9555, kappa: 0.89, kb_relative_information_score: 25309.6897, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.956, predictive_accuracy: 0.956, prior_entropy: 0.863, recall: 0.956, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4406, scimark_benchmark: 1274.9608, usercpu_time_millis: 1456.839, usercpu_time_millis_testing: 99.577, usercpu_time_millis_training: 1357.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9588, kappa: 0.8986, kb_relative_information_score: 27244.5119, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9589, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.2312, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.4058, scimark_benchmark: 1269.866, usercpu_time_millis: 353.916, usercpu_time_millis_testing: 19.592, usercpu_time_millis_training: 334.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9204, kappa: 0.7997, kb_relative_information_score: 18330.2446, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9262, predictive_accuracy: 0.9233, prior_entropy: 0.863, recall: 0.9233, relative_absolute_error: 0.5263, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.272, root_relative_squared_error: 0.6022, scimark_benchmark: 1280.974, usercpu_time_millis: 1288.866, usercpu_time_millis_testing: 93.037, usercpu_time_millis_training: 1195.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9465, kappa: 0.8671, kb_relative_information_score: 23268.8253, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9473, predictive_accuracy: 0.9473, prior_entropy: 0.863, recall: 0.9473, relative_absolute_error: 0.3647, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.223, root_relative_squared_error: 0.4937, scimark_benchmark: 1268.3647, usercpu_time_millis: 917.625, usercpu_time_millis_testing: 61.208, usercpu_time_millis_training: 856.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9302, kappa: 0.8248, kb_relative_information_score: 19140.9833, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9346, predictive_accuracy: 0.9324, prior_entropy: 0.863, recall: 0.9324, relative_absolute_error: 0.5055, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.5815, scimark_benchmark: 1270.4787, usercpu_time_millis: 916.573, usercpu_time_millis_testing: 65.953, usercpu_time_millis_training: 850.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9668, kappa: 0.9184, kb_relative_information_score: 29230.1228, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9667, predictive_accuracy: 0.9669, prior_entropy: 0.863, recall: 0.9669, relative_absolute_error: 0.1644, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.161, root_relative_squared_error: 0.3565, scimark_benchmark: 1275.2383, usercpu_time_millis: 239.942, usercpu_time_millis_testing: 9.233, usercpu_time_millis_training: 230.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9649, kappa: 0.9137, kb_relative_information_score: 28396.532, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.9651, prior_entropy: 0.863, recall: 0.9651, relative_absolute_error: 0.1944, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.3721, scimark_benchmark: 1282.9097, usercpu_time_millis: 847.39, usercpu_time_millis_testing: 45.733, usercpu_time_millis_training: 801.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.943, kappa: 0.8584, kb_relative_information_score: 22171.2264, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9441, predictive_accuracy: 0.9439, prior_entropy: 0.863, recall: 0.9439, relative_absolute_error: 0.3989, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.235, root_relative_squared_error: 0.5202, scimark_benchmark: 1273.9132, usercpu_time_millis: 1508.82, usercpu_time_millis_testing: 92.913, usercpu_time_millis_training: 1415.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9564, kappa: 0.8922, kb_relative_information_score: 25527.7072, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9568, predictive_accuracy: 0.9569, prior_entropy: 0.863, recall: 0.9569, relative_absolute_error: 0.2942, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.4349, scimark_benchmark: 1275.8903, usercpu_time_millis: 252.778, usercpu_time_millis_testing: 16.662, usercpu_time_millis_training: 236.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9573, kappa: 0.8948, kb_relative_information_score: 27230.6072, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9573, predictive_accuracy: 0.9576, prior_entropy: 0.863, recall: 0.9576, relative_absolute_error: 0.23, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.185, root_relative_squared_error: 0.4095, scimark_benchmark: 1242.1518, usercpu_time_millis: 406.396, usercpu_time_millis_testing: 26.046, usercpu_time_millis_training: 380.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9451, kappa: 0.8637, kb_relative_information_score: 22870.5231, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.946, predictive_accuracy: 0.9459, prior_entropy: 0.863, recall: 0.9459, relative_absolute_error: 0.3769, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.5039, scimark_benchmark: 1282.636, usercpu_time_millis: 495.205, usercpu_time_millis_testing: 29.178, usercpu_time_millis_training: 466.027,

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