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: 0.9923, f_measure: 0.963, kappa: 0.9091, kb_relative_information_score: 28987.4136, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.963, prior_entropy: 0.863, recall: 0.963, relative_absolute_error: 0.169, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.17, root_relative_squared_error: 0.3764, scimark_benchmark: 1278.6673, usercpu_time_millis: 11681.129, usercpu_time_millis_testing: 96.819, usercpu_time_millis_training: 11584.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9682, kappa: 0.9221, kb_relative_information_score: 29672.7631, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9682, predictive_accuracy: 0.9683, prior_entropy: 0.863, recall: 0.9683, relative_absolute_error: 0.149, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.3474, scimark_benchmark: 1281.8109, usercpu_time_millis: 1202.472, usercpu_time_millis_testing: 20.563, usercpu_time_millis_training: 1181.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9401, kappa: 0.8518, kb_relative_information_score: 25478.7681, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9404, predictive_accuracy: 0.9408, prior_entropy: 0.863, recall: 0.9408, relative_absolute_error: 0.2787, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.4701, scimark_benchmark: 1223.0077, usercpu_time_millis: 3793.049, usercpu_time_millis_testing: 91.478, usercpu_time_millis_training: 3701.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9222, kappa: 0.8052, kb_relative_information_score: 22143.1024, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9253, predictive_accuracy: 0.9244, prior_entropy: 0.863, recall: 0.9244, relative_absolute_error: 0.3885, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.5372, scimark_benchmark: 1261.6994, usercpu_time_millis: 1049.702, usercpu_time_millis_testing: 56.256, usercpu_time_millis_training: 993.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9555, kappa: 0.8907, kb_relative_information_score: 27581.0009, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9555, predictive_accuracy: 0.9556, prior_entropy: 0.863, recall: 0.9556, relative_absolute_error: 0.2126, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.4141, scimark_benchmark: 1242.5938, usercpu_time_millis: 987.977, usercpu_time_millis_testing: 30.704, usercpu_time_millis_training: 957.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9252, kappa: 0.813, kb_relative_information_score: 22869.8903, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9274, predictive_accuracy: 0.927, prior_entropy: 0.863, recall: 0.927, relative_absolute_error: 0.3665, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.5242, scimark_benchmark: 1298.2125, usercpu_time_millis: 873.934, usercpu_time_millis_testing: 40.675, usercpu_time_millis_training: 833.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9381, kappa: 0.8467, kb_relative_information_score: 25324.4987, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9384, predictive_accuracy: 0.9388, prior_entropy: 0.863, recall: 0.9388, relative_absolute_error: 0.2822, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.4771, scimark_benchmark: 1284.586, usercpu_time_millis: 416.646, usercpu_time_millis_testing: 10.322, usercpu_time_millis_training: 406.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9585, kappa: 0.8975, kb_relative_information_score: 25965.7809, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9588, predictive_accuracy: 0.9589, prior_entropy: 0.863, recall: 0.9589, relative_absolute_error: 0.28, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.4234, scimark_benchmark: 1305.0999, usercpu_time_millis: 625.968, usercpu_time_millis_testing: 35.918, usercpu_time_millis_training: 590.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9601, kappa: 0.9018, kb_relative_information_score: 27720.4712, mean_absolute_error: 0.0876, 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: 0.2146, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.3954, scimark_benchmark: 1269.4549, usercpu_time_millis: 2197.528, usercpu_time_millis_testing: 84.87, usercpu_time_millis_training: 2112.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9596, kappa: 0.9007, kb_relative_information_score: 28103.4382, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9596, predictive_accuracy: 0.9598, prior_entropy: 0.863, recall: 0.9598, relative_absolute_error: 0.1984, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.3952, scimark_benchmark: 1235.7279, usercpu_time_millis: 1963.066, usercpu_time_millis_testing: 85.31, usercpu_time_millis_training: 1877.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9613, kappa: 0.905, kb_relative_information_score: 28566.6146, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.863, recall: 0.9614, relative_absolute_error: 0.1825, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3837, scimark_benchmark: 1263.5981, usercpu_time_millis: 5606.781, usercpu_time_millis_testing: 84.26, usercpu_time_millis_training: 5522.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9381, kappa: 0.8467, kb_relative_information_score: 25479.1598, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9383, predictive_accuracy: 0.9388, prior_entropy: 0.863, recall: 0.9388, relative_absolute_error: 0.2762, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.4769, scimark_benchmark: 1283.6202, usercpu_time_millis: 974.574, usercpu_time_millis_testing: 34.58, usercpu_time_millis_training: 939.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9417, kappa: 0.8553, kb_relative_information_score: 23557.1966, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9423, predictive_accuracy: 0.9425, prior_entropy: 0.863, recall: 0.9425, relative_absolute_error: 0.3503, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.224, root_relative_squared_error: 0.4958, scimark_benchmark: 1281.2563, usercpu_time_millis: 1123.44, usercpu_time_millis_testing: 45.617, usercpu_time_millis_training: 1077.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.946, kappa: 0.8669, kb_relative_information_score: 26473.3019, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9459, predictive_accuracy: 0.9463, prior_entropy: 0.863, recall: 0.9463, relative_absolute_error: 0.2452, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.4492, scimark_benchmark: 1234.3369, usercpu_time_millis: 1319.271, usercpu_time_millis_testing: 21.795, usercpu_time_millis_training: 1297.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9361, kappa: 0.8413, kb_relative_information_score: 24726.31, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9368, predictive_accuracy: 0.937, prior_entropy: 0.863, recall: 0.937, relative_absolute_error: 0.3037, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.4886, scimark_benchmark: 1279.8026, usercpu_time_millis: 281.068, usercpu_time_millis_testing: 10.48, usercpu_time_millis_training: 270.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9491, kappa: 0.8749, kb_relative_information_score: 26831.344, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.949, predictive_accuracy: 0.9493, prior_entropy: 0.863, recall: 0.9493, relative_absolute_error: 0.2346, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4396, scimark_benchmark: 1264.6835, usercpu_time_millis: 387.507, usercpu_time_millis_testing: 11.69, usercpu_time_millis_training: 375.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9581, kappa: 0.8968, kb_relative_information_score: 27690.4745, mean_absolute_error: 0.0863, 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: 0.2115, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.4065, scimark_benchmark: 1246.7722, usercpu_time_millis: 1537.603, usercpu_time_millis_testing: 79.477, usercpu_time_millis_training: 1458.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9394, kappa: 0.8499, kb_relative_information_score: 25419.6531, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9397, predictive_accuracy: 0.9401, prior_entropy: 0.863, recall: 0.9401, relative_absolute_error: 0.2798, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.4731, scimark_benchmark: 1283.1068, usercpu_time_millis: 800.436, usercpu_time_millis_testing: 18.735, usercpu_time_millis_training: 781.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9555, kappa: 0.8901, kb_relative_information_score: 26519.2504, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9556, predictive_accuracy: 0.9558, prior_entropy: 0.863, recall: 0.9558, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4243, scimark_benchmark: 1284.2106, usercpu_time_millis: 1120.168, usercpu_time_millis_testing: 50.563, usercpu_time_millis_training: 1069.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.951, kappa: 0.8787, kb_relative_information_score: 25031.8451, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9514, predictive_accuracy: 0.9515, prior_entropy: 0.863, recall: 0.9515, relative_absolute_error: 0.3048, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.4572, scimark_benchmark: 1273.9318, usercpu_time_millis: 1354.646, usercpu_time_millis_testing: 61.575, usercpu_time_millis_training: 1293.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9552, kappa: 0.8897, kb_relative_information_score: 27025.5831, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9552, predictive_accuracy: 0.9555, prior_entropy: 0.863, recall: 0.9555, relative_absolute_error: 0.2342, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.4198, scimark_benchmark: 1262.3148, usercpu_time_millis: 1913.548, usercpu_time_millis_testing: 82.966, usercpu_time_millis_training: 1830.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9394, kappa: 0.8501, kb_relative_information_score: 25684.7236, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9396, predictive_accuracy: 0.94, prior_entropy: 0.863, recall: 0.94, relative_absolute_error: 0.2693, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.4708, scimark_benchmark: 1263.3423, usercpu_time_millis: 4047.129, usercpu_time_millis_testing: 87.11, usercpu_time_millis_training: 3960.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9619, kappa: 0.9065, kb_relative_information_score: 28906.0685, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9619, predictive_accuracy: 0.962, prior_entropy: 0.863, recall: 0.962, relative_absolute_error: 0.1708, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.382, scimark_benchmark: 1269.2191, usercpu_time_millis: 4337.63, usercpu_time_millis_testing: 27.234, usercpu_time_millis_training: 4310.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9671, kappa: 0.9193, kb_relative_information_score: 29239.9199, mean_absolute_error: 0.0669, 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: 0.164, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.3561, scimark_benchmark: 1253.8493, usercpu_time_millis: 245.184, usercpu_time_millis_testing: 11.565, usercpu_time_millis_training: 233.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9461, kappa: 0.8665, kb_relative_information_score: 24676.0208, mean_absolute_error: 0.1283, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9465, predictive_accuracy: 0.9468, prior_entropy: 0.863, recall: 0.9468, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.47, scimark_benchmark: 1253.2366, usercpu_time_millis: 1046.947, usercpu_time_millis_testing: 53.266, usercpu_time_millis_training: 993.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9563, kappa: 0.8927, kb_relative_information_score: 27766.5371, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9562, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.2063, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.4103, scimark_benchmark: 1305.906, usercpu_time_millis: 4233, usercpu_time_millis_testing: 95.705, usercpu_time_millis_training: 4137.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9522, kappa: 0.8824, kb_relative_information_score: 26987.2848, mean_absolute_error: 0.0942, 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: 0.2308, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.4315, scimark_benchmark: 1255.5307, usercpu_time_millis: 3395.546, usercpu_time_millis_testing: 68.259, usercpu_time_millis_training: 3327.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9678, kappa: 0.9209, kb_relative_information_score: 29592.7597, mean_absolute_error: 0.0619, 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: 0.1516, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.158, root_relative_squared_error: 0.3499, scimark_benchmark: 1281.386, usercpu_time_millis: 2619.636, usercpu_time_millis_testing: 49.523, usercpu_time_millis_training: 2570.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9693, kappa: 0.9247, kb_relative_information_score: 29641.5408, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9693, predictive_accuracy: 0.9694, prior_entropy: 0.863, recall: 0.9694, relative_absolute_error: 0.1512, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.3436, scimark_benchmark: 1304.5443, usercpu_time_millis: 1615.445, usercpu_time_millis_testing: 51.874, usercpu_time_millis_training: 1563.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9621, kappa: 0.9068, kb_relative_information_score: 27892.6881, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9621, predictive_accuracy: 0.9623, prior_entropy: 0.863, recall: 0.9623, relative_absolute_error: 0.2107, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.387, scimark_benchmark: 1248.0822, usercpu_time_millis: 917.154, usercpu_time_millis_testing: 45.303, usercpu_time_millis_training: 871.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.954, kappa: 0.8867, kb_relative_information_score: 26935.1282, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.954, predictive_accuracy: 0.9542, prior_entropy: 0.863, recall: 0.9542, relative_absolute_error: 0.236, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.4242, scimark_benchmark: 1264.8985, usercpu_time_millis: 1793.08, usercpu_time_millis_testing: 46.44, usercpu_time_millis_training: 1746.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9666, kappa: 0.9179, kb_relative_information_score: 29551.7123, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9665, predictive_accuracy: 0.9666, prior_entropy: 0.863, recall: 0.9666, relative_absolute_error: 0.1514, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.162, root_relative_squared_error: 0.3587, scimark_benchmark: 1274.8482, usercpu_time_millis: 2248.318, usercpu_time_millis_testing: 12.352, usercpu_time_millis_training: 2235.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9337, kappa: 0.8351, kb_relative_information_score: 23837.2834, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9347, predictive_accuracy: 0.9348, prior_entropy: 0.863, recall: 0.9348, relative_absolute_error: 0.3358, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.5016, scimark_benchmark: 1252.7184, usercpu_time_millis: 1024.685, usercpu_time_millis_testing: 39.371, usercpu_time_millis_training: 985.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9442, kappa: 0.8616, kb_relative_information_score: 24119.9639, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9447, predictive_accuracy: 0.9449, prior_entropy: 0.863, recall: 0.9449, relative_absolute_error: 0.3322, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.4831, scimark_benchmark: 1252.7901, usercpu_time_millis: 702.066, usercpu_time_millis_testing: 38.633, usercpu_time_millis_training: 663.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.928, kappa: 0.8193, kb_relative_information_score: 19034.5279, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9325, predictive_accuracy: 0.9303, prior_entropy: 0.863, recall: 0.9303, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.5847, scimark_benchmark: 1292.3341, usercpu_time_millis: 1167.65, usercpu_time_millis_testing: 85.934, usercpu_time_millis_training: 1081.716,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9408, kappa: 0.8547, kb_relative_information_score: 27249.4484, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9407, predictive_accuracy: 0.9409, prior_entropy: 0.863, recall: 0.9409, relative_absolute_error: 0.2139, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.206, root_relative_squared_error: 0.4561, scimark_benchmark: 1301.2053, usercpu_time_millis: 1934.36, usercpu_time_millis_testing: 0.854, usercpu_time_millis_training: 1933.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9541, kappa: 0.8865, kb_relative_information_score: 25635.0493, mean_absolute_error: 0.1164, 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: 0.2853, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.4424, scimark_benchmark: 1250.4475, usercpu_time_millis: 475.885, usercpu_time_millis_testing: 18.968, usercpu_time_millis_training: 456.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9634, kappa: 0.9101, kb_relative_information_score: 28809.9267, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9634, predictive_accuracy: 0.9635, prior_entropy: 0.863, recall: 0.9635, relative_absolute_error: 0.176, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.375, scimark_benchmark: 1292.0257, usercpu_time_millis: 916.391, usercpu_time_millis_testing: 29.875, usercpu_time_millis_training: 886.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9504, kappa: 0.8781, kb_relative_information_score: 26902.5312, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9503, predictive_accuracy: 0.9505, prior_entropy: 0.863, recall: 0.9505, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.197, root_relative_squared_error: 0.436, scimark_benchmark: 1259.0628, usercpu_time_millis: 3676.398, usercpu_time_millis_testing: 61.653, usercpu_time_millis_training: 3614.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9595, kappa: 0.9004, kb_relative_information_score: 27812.613, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9595, predictive_accuracy: 0.9597, prior_entropy: 0.863, recall: 0.9597, relative_absolute_error: 0.2095, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.3979, scimark_benchmark: 1304.7563, usercpu_time_millis: 1035.894, usercpu_time_millis_testing: 39.422, usercpu_time_millis_training: 996.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.965, kappa: 0.9141, kb_relative_information_score: 28645.8538, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.965, predictive_accuracy: 0.9652, prior_entropy: 0.863, recall: 0.9652, relative_absolute_error: 0.1843, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.3708, scimark_benchmark: 1285.3402, usercpu_time_millis: 663.838, usercpu_time_millis_testing: 31.829, usercpu_time_millis_training: 632.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9593, kappa: 0.9001, kb_relative_information_score: 28253.5447, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9593, predictive_accuracy: 0.9595, prior_entropy: 0.863, recall: 0.9595, relative_absolute_error: 0.1924, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3947, scimark_benchmark: 1283.7761, usercpu_time_millis: 2282.12, usercpu_time_millis_testing: 84.743, usercpu_time_millis_training: 2197.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9342, kappa: 0.8364, kb_relative_information_score: 21586.7643, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9352, predictive_accuracy: 0.9353, prior_entropy: 0.863, recall: 0.9353, relative_absolute_error: 0.4126, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2428, root_relative_squared_error: 0.5375, scimark_benchmark: 1285.5494, usercpu_time_millis: 452.294, usercpu_time_millis_testing: 26.723, usercpu_time_millis_training: 425.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9628, kappa: 0.9086, kb_relative_information_score: 28805.4205, mean_absolute_error: 0.0715, 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: 0.1752, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.3779, scimark_benchmark: 1302.4999, usercpu_time_millis: 2418.885, usercpu_time_millis_testing: 53.373, usercpu_time_millis_training: 2365.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9571, kappa: 0.8946, kb_relative_information_score: 27657.3716, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.957, predictive_accuracy: 0.9572, prior_entropy: 0.863, recall: 0.9572, relative_absolute_error: 0.2107, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.4107, scimark_benchmark: 1290.569, usercpu_time_millis: 2861.225, usercpu_time_millis_testing: 67.74, usercpu_time_millis_training: 2793.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9578, kappa: 0.8964, kb_relative_information_score: 27982.2432, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9578, predictive_accuracy: 0.9579, prior_entropy: 0.863, recall: 0.9579, relative_absolute_error: 0.2, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.182, root_relative_squared_error: 0.403, scimark_benchmark: 1254.6971, usercpu_time_millis: 3427.556, usercpu_time_millis_testing: 68.845, usercpu_time_millis_training: 3358.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9663, kappa: 0.9173, kb_relative_information_score: 29354.5169, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9663, predictive_accuracy: 0.9664, prior_entropy: 0.863, recall: 0.9664, relative_absolute_error: 0.1588, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.3583, scimark_benchmark: 1278.9438, usercpu_time_millis: 2285.094, usercpu_time_millis_testing: 34.275, usercpu_time_millis_training: 2250.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9632, kappa: 0.9096, kb_relative_information_score: 28726.7745, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9631, predictive_accuracy: 0.9633, prior_entropy: 0.863, recall: 0.9633, relative_absolute_error: 0.1786, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.3769, scimark_benchmark: 1248.6137, usercpu_time_millis: 878.87, usercpu_time_millis_testing: 31.835, usercpu_time_millis_training: 847.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9661, kappa: 0.9166, kb_relative_information_score: 28771.8642, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.966, predictive_accuracy: 0.9662, prior_entropy: 0.863, recall: 0.9662, relative_absolute_error: 0.181, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.365, scimark_benchmark: 1295.6866, usercpu_time_millis: 1335.087, usercpu_time_millis_testing: 48.894, usercpu_time_millis_training: 1286.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9598, kappa: 0.9011, kb_relative_information_score: 28114.4005, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9597, predictive_accuracy: 0.9599, prior_entropy: 0.863, recall: 0.9599, relative_absolute_error: 0.1977, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.395, scimark_benchmark: 1281.0386, usercpu_time_millis: 1610.889, usercpu_time_millis_testing: 49.123, usercpu_time_millis_training: 1561.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9679, kappa: 0.9212, kb_relative_information_score: 29643.1883, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9679, predictive_accuracy: 0.968, prior_entropy: 0.863, recall: 0.968, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.3492, scimark_benchmark: 1303.1166, usercpu_time_millis: 716.502, usercpu_time_millis_testing: 13.652, usercpu_time_millis_training: 702.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9558, kappa: 0.8913, kb_relative_information_score: 27469.0099, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9557, predictive_accuracy: 0.9559, prior_entropy: 0.863, recall: 0.9559, relative_absolute_error: 0.2164, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.4169, scimark_benchmark: 1301.1206, usercpu_time_millis: 134.914, usercpu_time_millis_testing: 5.133, usercpu_time_millis_training: 129.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9652, kappa: 0.9144, kb_relative_information_score: 29035.7145, mean_absolute_error: 0.0691, 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: 0.1693, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3664, scimark_benchmark: 1282.0931, usercpu_time_millis: 3074.303, usercpu_time_millis_testing: 66.472, usercpu_time_millis_training: 3007.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.964, kappa: 0.9116, kb_relative_information_score: 28860.419, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.964, predictive_accuracy: 0.9641, prior_entropy: 0.863, recall: 0.9641, relative_absolute_error: 0.1747, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3724, scimark_benchmark: 1272.9656, usercpu_time_millis: 1491.379, usercpu_time_millis_testing: 49.48, usercpu_time_millis_training: 1441.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9649, kappa: 0.9136, kb_relative_information_score: 28818.7097, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9648, predictive_accuracy: 0.965, prior_entropy: 0.863, recall: 0.965, relative_absolute_error: 0.1779, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.368, scimark_benchmark: 1296.4259, usercpu_time_millis: 762.587, usercpu_time_millis_testing: 30.438, usercpu_time_millis_training: 732.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9258, kappa: 0.8136, kb_relative_information_score: 18798.0334, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9307, predictive_accuracy: 0.9283, prior_entropy: 0.863, recall: 0.9283, relative_absolute_error: 0.514, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2669, root_relative_squared_error: 0.5908, scimark_benchmark: 1290.4388, usercpu_time_millis: 195.353, usercpu_time_millis_testing: 12.779, usercpu_time_millis_training: 182.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9586, kappa: 0.8981, kb_relative_information_score: 27871.5773, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9585, predictive_accuracy: 0.9587, prior_entropy: 0.863, recall: 0.9587, relative_absolute_error: 0.2057, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.402, scimark_benchmark: 1271.6569, usercpu_time_millis: 1719.393, usercpu_time_millis_testing: 88.009, usercpu_time_millis_training: 1631.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9501, kappa: 0.8773, kb_relative_information_score: 26861.6298, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.95, predictive_accuracy: 0.9502, prior_entropy: 0.863, recall: 0.9502, relative_absolute_error: 0.2338, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4374, scimark_benchmark: 1304.3326, usercpu_time_millis: 1786.071, usercpu_time_millis_testing: 31.086, usercpu_time_millis_training: 1754.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9528, kappa: 0.8839, kb_relative_information_score: 26984.4003, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9527, predictive_accuracy: 0.953, prior_entropy: 0.863, recall: 0.953, relative_absolute_error: 0.2318, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.4293, scimark_benchmark: 1253.4479, usercpu_time_millis: 164.717, usercpu_time_millis_testing: 5.193, usercpu_time_millis_training: 159.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9609, kappa: 0.9037, kb_relative_information_score: 28007.674, mean_absolute_error: 0.083, 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: 0.2033, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.3929, scimark_benchmark: 1295.7098, usercpu_time_millis: 385.702, usercpu_time_millis_testing: 17.915, usercpu_time_millis_training: 367.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9423, kappa: 0.8565, kb_relative_information_score: 21993.8914, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9433, predictive_accuracy: 0.9432, prior_entropy: 0.863, recall: 0.9432, relative_absolute_error: 0.4047, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.5239, scimark_benchmark: 1297.1316, usercpu_time_millis: 853.124, usercpu_time_millis_testing: 54.197, usercpu_time_millis_training: 798.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9615, kappa: 0.9055, kb_relative_information_score: 28592.8244, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9615, predictive_accuracy: 0.9616, prior_entropy: 0.863, recall: 0.9616, relative_absolute_error: 0.1812, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.3871, scimark_benchmark: 1290.2043, usercpu_time_millis: 86.406, usercpu_time_millis_testing: 4.755, usercpu_time_millis_training: 81.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9552, kappa: 0.8899, kb_relative_information_score: 27387.4609, mean_absolute_error: 0.0891, 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: 0.2183, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.4199, scimark_benchmark: 1268.0825, usercpu_time_millis: 4853.553, usercpu_time_millis_testing: 93.983, usercpu_time_millis_training: 4759.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9604, kappa: 0.9028, kb_relative_information_score: 28501.3671, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9604, predictive_accuracy: 0.9605, prior_entropy: 0.863, recall: 0.9605, relative_absolute_error: 0.1838, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.389, scimark_benchmark: 1255.5206, usercpu_time_millis: 3620.01, usercpu_time_millis_testing: 67.845, usercpu_time_millis_training: 3552.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9607, kappa: 0.9033, kb_relative_information_score: 27633.4676, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9608, predictive_accuracy: 0.9609, prior_entropy: 0.863, recall: 0.9609, relative_absolute_error: 0.2189, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.3946, scimark_benchmark: 1279.3038, usercpu_time_millis: 693.836, usercpu_time_millis_testing: 37.871, usercpu_time_millis_training: 655.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9601, kappa: 0.9019, kb_relative_information_score: 27828.093, mean_absolute_error: 0.0857, 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: 0.21, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.3951, scimark_benchmark: 1286.8179, usercpu_time_millis: 2890.8, usercpu_time_millis_testing: 93.47, usercpu_time_millis_training: 2797.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9463, kappa: 0.867, kb_relative_information_score: 23927.0635, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9469, predictive_accuracy: 0.947, prior_entropy: 0.863, recall: 0.947, relative_absolute_error: 0.3403, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.484, scimark_benchmark: 1300.701, usercpu_time_millis: 2013.402, usercpu_time_millis_testing: 91.656, usercpu_time_millis_training: 1921.746,

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

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