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: 0.9938, f_measure: 0.9619, kappa: 0.9059, kb_relative_information_score: 26548.9097, mean_absolute_error: 0.1071, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9621, predictive_accuracy: 0.9622, prior_entropy: 0.863, recall: 0.9622, relative_absolute_error: 0.2623, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.4059, scimark_benchmark: 1275.6815, usercpu_time_millis: 1197.484, usercpu_time_millis_testing: 61.345, usercpu_time_millis_training: 1136.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9616, kappa: 0.9055, kb_relative_information_score: 28290.9554, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9615, predictive_accuracy: 0.9617, prior_entropy: 0.863, recall: 0.9617, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.386, scimark_benchmark: 1263.6684, usercpu_time_millis: 3027.955, usercpu_time_millis_testing: 123.519, usercpu_time_millis_training: 2904.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.963, kappa: 0.9093, kb_relative_information_score: 28954.0743, mean_absolute_error: 0.0693, 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: 0.1698, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.3759, scimark_benchmark: 1283.3025, usercpu_time_millis: 5849.052, usercpu_time_millis_testing: 57.774, usercpu_time_millis_training: 5791.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9076, kappa: 0.7693, kb_relative_information_score: 15677.3212, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9089, predictive_accuracy: 0.9097, prior_entropy: 0.863, recall: 0.9097, relative_absolute_error: 0.5829, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.6629, scimark_benchmark: 1265.7639, usercpu_time_millis: 316.304, usercpu_time_millis_testing: 19.157, usercpu_time_millis_training: 297.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.97, kappa: 0.9264, kb_relative_information_score: 30275.8425, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.97, predictive_accuracy: 0.9701, prior_entropy: 0.863, recall: 0.9701, relative_absolute_error: 0.1281, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.3363, scimark_benchmark: 1298.4354, usercpu_time_millis: 2485.85, usercpu_time_millis_testing: 20.377, usercpu_time_millis_training: 2465.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9599, kappa: 0.9012, kb_relative_information_score: 27748.4735, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9598, predictive_accuracy: 0.96, prior_entropy: 0.863, recall: 0.96, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3995, scimark_benchmark: 1309.5429, usercpu_time_millis: 1961.516, usercpu_time_millis_testing: 69.039, usercpu_time_millis_training: 1892.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.96, kappa: 0.9016, kb_relative_information_score: 28215.9124, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9599, predictive_accuracy: 0.96, prior_entropy: 0.863, recall: 0.96, relative_absolute_error: 0.1935, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.178, root_relative_squared_error: 0.3941, scimark_benchmark: 1286.1023, usercpu_time_millis: 684.549, usercpu_time_millis_testing: 15.403, usercpu_time_millis_training: 669.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9678, kappa: 0.9209, kb_relative_information_score: 29720.6391, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 0.863, recall: 0.9678, relative_absolute_error: 0.146, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.159, root_relative_squared_error: 0.352, scimark_benchmark: 1300.1759, usercpu_time_millis: 4845.078, usercpu_time_millis_testing: 35.175, usercpu_time_millis_training: 4809.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9532, kappa: 0.8852, kb_relative_information_score: 27443.5785, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9532, predictive_accuracy: 0.9533, prior_entropy: 0.863, recall: 0.9533, relative_absolute_error: 0.2141, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.193, root_relative_squared_error: 0.4272, scimark_benchmark: 1263.6477, usercpu_time_millis: 4075.716, usercpu_time_millis_testing: 53.995, usercpu_time_millis_training: 4021.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9545, kappa: 0.888, kb_relative_information_score: 27154.8816, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9544, predictive_accuracy: 0.9547, prior_entropy: 0.863, recall: 0.9547, relative_absolute_error: 0.2276, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.422, scimark_benchmark: 1263.3215, usercpu_time_millis: 2684.172, usercpu_time_millis_testing: 92.415, usercpu_time_millis_training: 2591.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9591, kappa: 0.8993, kb_relative_information_score: 27855.5246, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.959, predictive_accuracy: 0.9592, prior_entropy: 0.863, recall: 0.9592, relative_absolute_error: 0.2066, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.4, scimark_benchmark: 1260.8636, usercpu_time_millis: 1187.187, usercpu_time_millis_testing: 31.051, usercpu_time_millis_training: 1156.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.925, kappa: 0.8125, kb_relative_information_score: 24591.3296, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9276, predictive_accuracy: 0.9269, prior_entropy: 0.863, recall: 0.9269, relative_absolute_error: 0.3015, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.5041, scimark_benchmark: 1309.2826, usercpu_time_millis: 1743.832, usercpu_time_millis_testing: 37.69, usercpu_time_millis_training: 1706.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9315, kappa: 0.8294, kb_relative_information_score: 24234.8135, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9326, predictive_accuracy: 0.9327, prior_entropy: 0.863, recall: 0.9327, relative_absolute_error: 0.3195, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.4997, scimark_benchmark: 1308.313, usercpu_time_millis: 860.524, usercpu_time_millis_testing: 26.986, usercpu_time_millis_training: 833.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.955, kappa: 0.8895, kb_relative_information_score: 27389.0526, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9549, predictive_accuracy: 0.9551, prior_entropy: 0.863, recall: 0.9551, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.4199, scimark_benchmark: 1301.1957, usercpu_time_millis: 5632.723, usercpu_time_millis_testing: 99.744, usercpu_time_millis_training: 5532.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9299, kappa: 0.8255, kb_relative_information_score: 24324.598, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9312, predictive_accuracy: 0.9313, prior_entropy: 0.863, recall: 0.9313, relative_absolute_error: 0.3149, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.5009, scimark_benchmark: 1302.1829, usercpu_time_millis: 1913.962, usercpu_time_millis_testing: 46.812, usercpu_time_millis_training: 1867.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9672, kappa: 0.9195, kb_relative_information_score: 29372.2391, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9672, predictive_accuracy: 0.9673, prior_entropy: 0.863, recall: 0.9673, relative_absolute_error: 0.1593, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.3539, scimark_benchmark: 1255.9843, usercpu_time_millis: 2436.703, usercpu_time_millis_testing: 70.298, usercpu_time_millis_training: 2366.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9103, kappa: 0.7764, kb_relative_information_score: 17854.0144, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9114, predictive_accuracy: 0.9121, prior_entropy: 0.863, recall: 0.9121, relative_absolute_error: 0.5198, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.6192, scimark_benchmark: 1304.8097, usercpu_time_millis: 680.818, usercpu_time_millis_testing: 41.409, usercpu_time_millis_training: 639.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9628, kappa: 0.9087, kb_relative_information_score: 28629.4738, mean_absolute_error: 0.074, 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: 0.1814, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.3805, scimark_benchmark: 1244.1702, usercpu_time_millis: 2977.466, usercpu_time_millis_testing: 69.866, usercpu_time_millis_training: 2907.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9504, kappa: 0.8783, kb_relative_information_score: 27161.9138, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9504, predictive_accuracy: 0.9505, prior_entropy: 0.863, recall: 0.9505, relative_absolute_error: 0.2225, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.4354, scimark_benchmark: 1261.12, usercpu_time_millis: 6132.134, usercpu_time_millis_testing: 79.117, usercpu_time_millis_training: 6053.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9184, kappa: 0.7951, kb_relative_information_score: 23583.432, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9229, predictive_accuracy: 0.9211, prior_entropy: 0.863, recall: 0.9211, relative_absolute_error: 0.3396, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.5198, scimark_benchmark: 1251.1387, usercpu_time_millis: 3083.404, usercpu_time_millis_testing: 60.405, usercpu_time_millis_training: 3022.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.932, kappa: 0.8324, kb_relative_information_score: 25495.5683, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9319, predictive_accuracy: 0.9325, prior_entropy: 0.863, recall: 0.9325, relative_absolute_error: 0.2676, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.223, root_relative_squared_error: 0.4936, scimark_benchmark: 1293.5098, usercpu_time_millis: 52.245, usercpu_time_millis_testing: 3.751, usercpu_time_millis_training: 48.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.957, kappa: 0.8945, kb_relative_information_score: 28164.0948, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.1927, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.4041, scimark_benchmark: 1298.4726, usercpu_time_millis: 165.961, usercpu_time_millis_testing: 4.308, usercpu_time_millis_training: 161.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9602, kappa: 0.9024, kb_relative_information_score: 28564.5861, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9602, predictive_accuracy: 0.9603, prior_entropy: 0.863, recall: 0.9603, relative_absolute_error: 0.1814, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.3891, scimark_benchmark: 1304.4492, usercpu_time_millis: 7784.766, usercpu_time_millis_testing: 101.044, usercpu_time_millis_training: 7683.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9627, kappa: 0.9085, kb_relative_information_score: 28844.0689, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9627, predictive_accuracy: 0.9628, prior_entropy: 0.863, recall: 0.9628, relative_absolute_error: 0.1734, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.3789, scimark_benchmark: 1309.6475, usercpu_time_millis: 1621.548, usercpu_time_millis_testing: 26.038, usercpu_time_millis_training: 1595.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.96, kappa: 0.9018, kb_relative_information_score: 28518.447, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9599, predictive_accuracy: 0.96, prior_entropy: 0.863, recall: 0.96, relative_absolute_error: 0.1827, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.3888, scimark_benchmark: 1253.693, usercpu_time_millis: 1493.734, usercpu_time_millis_testing: 16.829, usercpu_time_millis_training: 1476.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9495, kappa: 0.8754, kb_relative_information_score: 26219.7405, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9496, predictive_accuracy: 0.9499, prior_entropy: 0.863, recall: 0.9499, relative_absolute_error: 0.2588, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4437, scimark_benchmark: 1305.5746, usercpu_time_millis: 2952.586, usercpu_time_millis_testing: 90.545, usercpu_time_millis_training: 2862.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9646, kappa: 0.9131, kb_relative_information_score: 29074.6871, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9646, predictive_accuracy: 0.9647, prior_entropy: 0.863, recall: 0.9647, relative_absolute_error: 0.167, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.37, scimark_benchmark: 1253.1406, usercpu_time_millis: 5121.581, usercpu_time_millis_testing: 89.581, usercpu_time_millis_training: 5032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9219, kappa: 0.8042, kb_relative_information_score: 24170.0623, mean_absolute_error: 0.1296, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9255, predictive_accuracy: 0.9242, prior_entropy: 0.863, recall: 0.9242, relative_absolute_error: 0.3176, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.5096, scimark_benchmark: 1259.3211, usercpu_time_millis: 317.058, usercpu_time_millis_testing: 7.327, usercpu_time_millis_training: 309.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.961, kappa: 0.9041, kb_relative_information_score: 27692.8469, mean_absolute_error: 0.0886, 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: 0.2171, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.3927, scimark_benchmark: 1255.5814, usercpu_time_millis: 1855.814, usercpu_time_millis_testing: 86.62, usercpu_time_millis_training: 1769.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9568, kappa: 0.8941, kb_relative_information_score: 28117.5968, mean_absolute_error: 0.0791, 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: 0.1939, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.4046, scimark_benchmark: 1308.4795, usercpu_time_millis: 5743.413, usercpu_time_millis_testing: 67.919, usercpu_time_millis_training: 5675.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9614, kappa: 0.905, kb_relative_information_score: 27767.7056, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9614, predictive_accuracy: 0.9616, prior_entropy: 0.863, recall: 0.9616, relative_absolute_error: 0.2146, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.3909, scimark_benchmark: 1279.3603, usercpu_time_millis: 989.64, usercpu_time_millis_testing: 45.049, usercpu_time_millis_training: 944.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9345, kappa: 0.8372, kb_relative_information_score: 23629.5409, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9355, predictive_accuracy: 0.9356, prior_entropy: 0.863, recall: 0.9356, relative_absolute_error: 0.3435, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.5037, scimark_benchmark: 1254.9342, usercpu_time_millis: 1456.144, usercpu_time_millis_testing: 56.608, usercpu_time_millis_training: 1399.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9428, kappa: 0.8593, kb_relative_information_score: 26416.6493, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9428, predictive_accuracy: 0.9431, prior_entropy: 0.863, recall: 0.9431, relative_absolute_error: 0.243, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.459, scimark_benchmark: 1248.1737, usercpu_time_millis: 412.108, usercpu_time_millis_testing: 5.377, usercpu_time_millis_training: 406.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9685, kappa: 0.9227, kb_relative_information_score: 29814.1818, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9685, predictive_accuracy: 0.9685, prior_entropy: 0.863, recall: 0.9685, relative_absolute_error: 0.1441, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.3451, scimark_benchmark: 1296.3315, usercpu_time_millis: 3510.352, usercpu_time_millis_testing: 42.4, usercpu_time_millis_training: 3467.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9605, kappa: 0.903, kb_relative_information_score: 28400.0017, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9605, predictive_accuracy: 0.9606, prior_entropy: 0.863, recall: 0.9606, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3882, scimark_benchmark: 1270.4756, usercpu_time_millis: 3089.638, usercpu_time_millis_testing: 57.107, usercpu_time_millis_training: 3032.531,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9593, kappa: 0.9001, kb_relative_information_score: 28421.4683, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9593, predictive_accuracy: 0.9594, prior_entropy: 0.863, recall: 0.9594, relative_absolute_error: 0.1863, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.3929, scimark_benchmark: 1259.9926, usercpu_time_millis: 3703.239, usercpu_time_millis_testing: 90.373, usercpu_time_millis_training: 3612.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9639, kappa: 0.9114, kb_relative_information_score: 28904.455, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9639, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.1725, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.374, scimark_benchmark: 1288.0659, usercpu_time_millis: 3167.221, usercpu_time_millis_testing: 74.728, usercpu_time_millis_training: 3092.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9687, kappa: 0.9233, kb_relative_information_score: 29928.6559, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9687, predictive_accuracy: 0.9688, prior_entropy: 0.863, recall: 0.9688, relative_absolute_error: 0.1396, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.3455, scimark_benchmark: 1203.2381, usercpu_time_millis: 5325.877, usercpu_time_millis_testing: 47.287, usercpu_time_millis_training: 5278.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9575, kappa: 0.8956, kb_relative_information_score: 27880.1653, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9574, predictive_accuracy: 0.9576, prior_entropy: 0.863, recall: 0.9576, relative_absolute_error: 0.2033, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.4055, scimark_benchmark: 1303.0402, usercpu_time_millis: 3281.002, usercpu_time_millis_testing: 67.63, usercpu_time_millis_training: 3213.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9672, kappa: 0.9196, kb_relative_information_score: 29632.5519, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9672, predictive_accuracy: 0.9673, prior_entropy: 0.863, recall: 0.9673, relative_absolute_error: 0.1497, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.351, scimark_benchmark: 1265.9241, usercpu_time_millis: 1662.446, usercpu_time_millis_testing: 25.909, usercpu_time_millis_training: 1636.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9565, kappa: 0.8932, kb_relative_information_score: 27977.3351, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9564, predictive_accuracy: 0.9566, prior_entropy: 0.863, recall: 0.9566, relative_absolute_error: 0.1985, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.4069, scimark_benchmark: 1271.0518, usercpu_time_millis: 170.254, usercpu_time_millis_testing: 4.301, usercpu_time_millis_training: 165.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9629, kappa: 0.9088, kb_relative_information_score: 28236.1483, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.9631, prior_entropy: 0.863, recall: 0.9631, relative_absolute_error: 0.1983, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.172, root_relative_squared_error: 0.3807, scimark_benchmark: 1265.3904, usercpu_time_millis: 1148.481, usercpu_time_millis_testing: 59.951, usercpu_time_millis_training: 1088.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.7349, kappa: 0.3209, kb_relative_information_score: 8839.8657, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8309, predictive_accuracy: 0.7849, prior_entropy: 0.863, recall: 0.7849, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.811, scimark_benchmark: 1266.3056, usercpu_time_millis: 161.577, usercpu_time_millis_testing: 15.392, usercpu_time_millis_training: 146.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9502, kappa: 0.8778, kb_relative_information_score: 26911.0585, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9502, predictive_accuracy: 0.9504, prior_entropy: 0.863, recall: 0.9504, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.4368, scimark_benchmark: 1261.3959, usercpu_time_millis: 3133.928, usercpu_time_millis_testing: 44.658, usercpu_time_millis_training: 3089.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9651, kappa: 0.9144, kb_relative_information_score: 29154.796, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9651, predictive_accuracy: 0.9652, prior_entropy: 0.863, recall: 0.9652, relative_absolute_error: 0.1647, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.3654, scimark_benchmark: 1261.913, usercpu_time_millis: 2421.258, usercpu_time_millis_testing: 37.864, usercpu_time_millis_training: 2383.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9363, kappa: 0.8422, kb_relative_information_score: 25407.3655, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9366, predictive_accuracy: 0.9371, prior_entropy: 0.863, recall: 0.9371, relative_absolute_error: 0.2772, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.4824, scimark_benchmark: 1307.1846, usercpu_time_millis: 1642.346, usercpu_time_millis_testing: 52.977, usercpu_time_millis_training: 1589.369,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9561, kappa: 0.8922, kb_relative_information_score: 27625.8357, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9561, predictive_accuracy: 0.9562, prior_entropy: 0.863, recall: 0.9562, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.4127, scimark_benchmark: 1257.0449, usercpu_time_millis: 2876.716, usercpu_time_millis_testing: 91.133, usercpu_time_millis_training: 2785.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9481, kappa: 0.8715, kb_relative_information_score: 24358.985, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9486, predictive_accuracy: 0.9488, prior_entropy: 0.863, recall: 0.9488, relative_absolute_error: 0.3266, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.4733, scimark_benchmark: 1221.0233, usercpu_time_millis: 2029.923, usercpu_time_millis_testing: 95.836, usercpu_time_millis_training: 1934.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9432, kappa: 0.8601, kb_relative_information_score: 26283.8671, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9431, predictive_accuracy: 0.9435, prior_entropy: 0.863, recall: 0.9435, relative_absolute_error: 0.2488, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4584, scimark_benchmark: 1304.5006, usercpu_time_millis: 5570.812, usercpu_time_millis_testing: 83.941, usercpu_time_millis_training: 5486.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9308, kappa: 0.8277, kb_relative_information_score: 20688.5171, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9319, predictive_accuracy: 0.932, prior_entropy: 0.863, recall: 0.932, relative_absolute_error: 0.4406, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2517, root_relative_squared_error: 0.5571, scimark_benchmark: 1267.3408, usercpu_time_millis: 202.101, usercpu_time_millis_testing: 12.611, usercpu_time_millis_training: 189.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9555, kappa: 0.8908, kb_relative_information_score: 27788.1051, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9554, predictive_accuracy: 0.9555, prior_entropy: 0.863, recall: 0.9555, relative_absolute_error: 0.2043, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.187, root_relative_squared_error: 0.4139, scimark_benchmark: 1241.628, usercpu_time_millis: 6594.106, usercpu_time_millis_testing: 89.162, usercpu_time_millis_training: 6504.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.966, kappa: 0.9165, kb_relative_information_score: 29377.2323, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.966, predictive_accuracy: 0.9661, prior_entropy: 0.863, recall: 0.9661, relative_absolute_error: 0.1574, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.3617, scimark_benchmark: 1300.4111, usercpu_time_millis: 1019.256, usercpu_time_millis_testing: 12.587, usercpu_time_millis_training: 1006.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.955, kappa: 0.8896, kb_relative_information_score: 27725.3108, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.955, predictive_accuracy: 0.9551, prior_entropy: 0.863, recall: 0.9551, relative_absolute_error: 0.2074, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.4144, scimark_benchmark: 1269.866, usercpu_time_millis: 1857.072, usercpu_time_millis_testing: 63.083, usercpu_time_millis_training: 1793.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9356, kappa: 0.8403, kb_relative_information_score: 25190.6688, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9359, predictive_accuracy: 0.9364, prior_entropy: 0.863, recall: 0.9364, relative_absolute_error: 0.2848, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.486, scimark_benchmark: 1260.5139, usercpu_time_millis: 3345.772, usercpu_time_millis_testing: 61.322, usercpu_time_millis_training: 3284.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9407, kappa: 0.8529, kb_relative_information_score: 24367.8499, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9412, predictive_accuracy: 0.9415, prior_entropy: 0.863, recall: 0.9415, relative_absolute_error: 0.3212, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.4835, scimark_benchmark: 1280.3389, usercpu_time_millis: 735.036, usercpu_time_millis_testing: 34.58, usercpu_time_millis_training: 700.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9639, kappa: 0.9112, kb_relative_information_score: 28970.4685, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.1713, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.3682, scimark_benchmark: 1292.1255, usercpu_time_millis: 156.281, usercpu_time_millis_testing: 5.478, usercpu_time_millis_training: 150.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9656, kappa: 0.9154, kb_relative_information_score: 29300.5133, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9655, predictive_accuracy: 0.9656, prior_entropy: 0.863, recall: 0.9656, relative_absolute_error: 0.1602, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.163, root_relative_squared_error: 0.3609, scimark_benchmark: 1301.4652, usercpu_time_millis: 2787.486, usercpu_time_millis_testing: 58.448, usercpu_time_millis_training: 2729.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9366, kappa: 0.8425, kb_relative_information_score: 22201.562, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9374, predictive_accuracy: 0.9376, prior_entropy: 0.863, recall: 0.9376, relative_absolute_error: 0.3937, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.5246, scimark_benchmark: 1278.409, usercpu_time_millis: 809.718, usercpu_time_millis_testing: 47.696, usercpu_time_millis_training: 762.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9546, kappa: 0.8883, kb_relative_information_score: 27116.8863, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9546, predictive_accuracy: 0.9549, prior_entropy: 0.863, recall: 0.9549, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.4198, scimark_benchmark: 1302.3235, usercpu_time_millis: 791.636, usercpu_time_millis_testing: 35.802, usercpu_time_millis_training: 755.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9567, kappa: 0.8931, kb_relative_information_score: 26850.7344, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9568, predictive_accuracy: 0.957, prior_entropy: 0.863, recall: 0.957, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.4156, scimark_benchmark: 1279.0839, usercpu_time_millis: 757.813, usercpu_time_millis_testing: 32.933, usercpu_time_millis_training: 724.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9589, kappa: 0.899, kb_relative_information_score: 28227.7023, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9588, predictive_accuracy: 0.959, prior_entropy: 0.863, recall: 0.959, relative_absolute_error: 0.1924, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.396, scimark_benchmark: 1265.5397, usercpu_time_millis: 930.07, usercpu_time_millis_testing: 21.316, usercpu_time_millis_training: 908.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9602, kappa: 0.9021, kb_relative_information_score: 27835.9781, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9601, predictive_accuracy: 0.9603, prior_entropy: 0.863, recall: 0.9603, relative_absolute_error: 0.2086, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.397, scimark_benchmark: 1300.2379, usercpu_time_millis: 1118.77, usercpu_time_millis_testing: 33.461, usercpu_time_millis_training: 1085.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9335, kappa: 0.8348, kb_relative_information_score: 24700.8683, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9342, predictive_accuracy: 0.9345, prior_entropy: 0.863, recall: 0.9345, relative_absolute_error: 0.3028, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.4931, scimark_benchmark: 1277.478, usercpu_time_millis: 1064.368, usercpu_time_millis_testing: 35.49, usercpu_time_millis_training: 1028.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.924, kappa: 0.8101, kb_relative_information_score: 20418.2653, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.926, predictive_accuracy: 0.9258, prior_entropy: 0.863, recall: 0.9258, relative_absolute_error: 0.4444, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2561, root_relative_squared_error: 0.5669, scimark_benchmark: 1304.4892, usercpu_time_millis: 595.935, usercpu_time_millis_testing: 35.599, usercpu_time_millis_training: 560.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9307, kappa: 0.8275, kb_relative_information_score: 24342.1986, mean_absolute_error: 0.1283, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.932, predictive_accuracy: 0.9321, prior_entropy: 0.863, recall: 0.9321, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.5005, scimark_benchmark: 1253.6413, usercpu_time_millis: 1436.266, usercpu_time_millis_testing: 32.826, usercpu_time_millis_training: 1403.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9556, kappa: 0.8912, kb_relative_information_score: 27856.1294, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9556, predictive_accuracy: 0.9557, prior_entropy: 0.863, recall: 0.9557, relative_absolute_error: 0.2023, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.4122, scimark_benchmark: 1269.8721, usercpu_time_millis: 548.773, usercpu_time_millis_testing: 10.932, usercpu_time_millis_training: 537.841,

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