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: 0.9921, f_measure: 0.961, kappa: 0.9043, kb_relative_information_score: 28482.7215, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.961, predictive_accuracy: 0.9611, prior_entropy: 0.863, recall: 0.9611, relative_absolute_error: 0.1856, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.3871, scimark_benchmark: 1311.3498, usercpu_time_millis: 1078.095, usercpu_time_millis_testing: 36.64, usercpu_time_millis_training: 1041.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9646, kappa: 0.913, kb_relative_information_score: 28507.3815, mean_absolute_error: 0.0773, 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: 0.1895, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.3727, scimark_benchmark: 1319.3403, usercpu_time_millis: 1587.497, usercpu_time_millis_testing: 49.371, usercpu_time_millis_training: 1538.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.939, kappa: 0.8487, kb_relative_information_score: 24475.4951, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9396, predictive_accuracy: 0.9399, prior_entropy: 0.863, recall: 0.9399, relative_absolute_error: 0.3163, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.4839, scimark_benchmark: 1253.1288, usercpu_time_millis: 708.021, usercpu_time_millis_testing: 27.765, usercpu_time_millis_training: 680.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9691, kappa: 0.9242, kb_relative_information_score: 29725.7219, mean_absolute_error: 0.0604, 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: 0.1481, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.3422, scimark_benchmark: 1311.431, usercpu_time_millis: 985.104, usercpu_time_millis_testing: 28.183, usercpu_time_millis_training: 956.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9661, kappa: 0.9169, kb_relative_information_score: 29430.4044, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9661, predictive_accuracy: 0.9662, prior_entropy: 0.863, recall: 0.9662, relative_absolute_error: 0.1557, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.3584, scimark_benchmark: 1283.0052, usercpu_time_millis: 246.174, usercpu_time_millis_testing: 6.697, usercpu_time_millis_training: 239.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9648, kappa: 0.9135, kb_relative_information_score: 29165.2161, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9647, predictive_accuracy: 0.9648, prior_entropy: 0.863, recall: 0.9648, relative_absolute_error: 0.1642, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.3649, scimark_benchmark: 1325.6682, usercpu_time_millis: 1835.307, usercpu_time_millis_testing: 27.184, usercpu_time_millis_training: 1808.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9575, kappa: 0.8955, kb_relative_information_score: 27598.0112, mean_absolute_error: 0.0871, 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: 0.2135, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.4094, scimark_benchmark: 1261.5938, usercpu_time_millis: 449.945, usercpu_time_millis_testing: 11.548, usercpu_time_millis_training: 438.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9412, kappa: 0.8557, kb_relative_information_score: 27276.8474, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9412, predictive_accuracy: 0.9413, prior_entropy: 0.863, recall: 0.9413, relative_absolute_error: 0.2131, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.4553, scimark_benchmark: 1267.7395, usercpu_time_millis: 12689.502, usercpu_time_millis_testing: 0.806, usercpu_time_millis_training: 12688.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9228, kappa: 0.806, kb_relative_information_score: 18582.5494, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.928, predictive_accuracy: 0.9255, prior_entropy: 0.863, recall: 0.9255, relative_absolute_error: 0.5194, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2693, root_relative_squared_error: 0.5962, scimark_benchmark: 1312.4194, usercpu_time_millis: 320.175, usercpu_time_millis_testing: 22.081, usercpu_time_millis_training: 298.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9627, kappa: 0.9084, kb_relative_information_score: 28667.5253, mean_absolute_error: 0.0735, 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: 0.1802, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.3791, scimark_benchmark: 1312.9882, usercpu_time_millis: 3436.864, usercpu_time_millis_testing: 61.262, usercpu_time_millis_training: 3375.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9528, kappa: 0.8838, kb_relative_information_score: 26977.5759, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9527, predictive_accuracy: 0.9529, prior_entropy: 0.863, recall: 0.9529, relative_absolute_error: 0.232, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.4297, scimark_benchmark: 1304.972, usercpu_time_millis: 1055.622, usercpu_time_millis_testing: 35.367, usercpu_time_millis_training: 1020.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9645, kappa: 0.9128, kb_relative_information_score: 28946.7961, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9645, predictive_accuracy: 0.9646, prior_entropy: 0.863, recall: 0.9646, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.3707, scimark_benchmark: 1292.5019, usercpu_time_millis: 1225.333, usercpu_time_millis_testing: 38.253, usercpu_time_millis_training: 1187.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9526, kappa: 0.8833, kb_relative_information_score: 26930.2378, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9525, predictive_accuracy: 0.9528, prior_entropy: 0.863, recall: 0.9528, relative_absolute_error: 0.2334, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.431, scimark_benchmark: 1319.0531, usercpu_time_millis: 4831.407, usercpu_time_millis_testing: 95.323, usercpu_time_millis_training: 4736.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9341, kappa: 0.8363, kb_relative_information_score: 24432.4614, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9349, predictive_accuracy: 0.9352, prior_entropy: 0.863, recall: 0.9352, relative_absolute_error: 0.3136, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.4945, scimark_benchmark: 1310.83, usercpu_time_millis: 1296.725, usercpu_time_millis_testing: 41.587, usercpu_time_millis_training: 1255.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9296, kappa: 0.8234, kb_relative_information_score: 19225.7117, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9339, predictive_accuracy: 0.9318, prior_entropy: 0.863, recall: 0.9318, relative_absolute_error: 0.5015, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.5803, scimark_benchmark: 1298.6434, usercpu_time_millis: 276.072, usercpu_time_millis_testing: 17.008, usercpu_time_millis_training: 259.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9657, kappa: 0.9158, kb_relative_information_score: 29229.9497, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9657, predictive_accuracy: 0.9658, prior_entropy: 0.863, recall: 0.9658, relative_absolute_error: 0.1629, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3616, scimark_benchmark: 1243.9177, usercpu_time_millis: 2362.354, usercpu_time_millis_testing: 54.008, usercpu_time_millis_training: 2308.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9702, kappa: 0.9269, kb_relative_information_score: 30265.9418, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9702, predictive_accuracy: 0.9703, prior_entropy: 0.863, recall: 0.9703, relative_absolute_error: 0.129, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.3333, scimark_benchmark: 1269.2713, usercpu_time_millis: 2180.392, usercpu_time_millis_testing: 28.616, usercpu_time_millis_training: 2151.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9573, kappa: 0.8952, kb_relative_information_score: 27934.9102, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9572, predictive_accuracy: 0.9573, prior_entropy: 0.863, recall: 0.9573, relative_absolute_error: 0.2008, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.4055, scimark_benchmark: 1305.3382, usercpu_time_millis: 6432.112, usercpu_time_millis_testing: 100.102, usercpu_time_millis_training: 6332.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9564, kappa: 0.8931, kb_relative_information_score: 27818.1139, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9564, predictive_accuracy: 0.9565, prior_entropy: 0.863, recall: 0.9565, relative_absolute_error: 0.2039, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.4106, scimark_benchmark: 1271.0273, usercpu_time_millis: 1359.336, usercpu_time_millis_testing: 18.559, usercpu_time_millis_training: 1340.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9485, kappa: 0.8731, kb_relative_information_score: 26423.9446, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9485, predictive_accuracy: 0.9488, prior_entropy: 0.863, recall: 0.9488, relative_absolute_error: 0.2497, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.4446, scimark_benchmark: 1291.016, usercpu_time_millis: 168.132, usercpu_time_millis_testing: 5.854, usercpu_time_millis_training: 162.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9636, kappa: 0.9105, kb_relative_information_score: 28696.4038, mean_absolute_error: 0.0734, 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: 0.1799, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.3773, scimark_benchmark: 1271.6756, usercpu_time_millis: 1113.114, usercpu_time_millis_testing: 41.464, usercpu_time_millis_training: 1071.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9396, kappa: 0.8497, kb_relative_information_score: 21354.5052, mean_absolute_error: 0.1731, 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: 0.4242, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.539, scimark_benchmark: 1326.4314, usercpu_time_millis: 581.895, usercpu_time_millis_testing: 33.984, usercpu_time_millis_training: 547.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9565, kappa: 0.8931, kb_relative_information_score: 27658.576, mean_absolute_error: 0.0856, 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: 0.2098, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.4125, scimark_benchmark: 1261.3958, usercpu_time_millis: 2870.349, usercpu_time_millis_testing: 51.757, usercpu_time_millis_training: 2818.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9314, kappa: 0.8277, kb_relative_information_score: 19252.4426, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9357, predictive_accuracy: 0.9335, prior_entropy: 0.863, recall: 0.9335, relative_absolute_error: 0.5024, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.5788, scimark_benchmark: 1288.1981, usercpu_time_millis: 353.476, usercpu_time_millis_testing: 24.521, usercpu_time_millis_training: 328.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9007, kappa: 0.7486, kb_relative_information_score: 16337.4491, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9101, predictive_accuracy: 0.9055, prior_entropy: 0.863, recall: 0.9055, relative_absolute_error: 0.5822, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2926, root_relative_squared_error: 0.6478, scimark_benchmark: 1247.1697, usercpu_time_millis: 201.451, usercpu_time_millis_testing: 15.896, usercpu_time_millis_training: 185.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9584, kappa: 0.8976, kb_relative_information_score: 27704.7377, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9584, predictive_accuracy: 0.9586, prior_entropy: 0.863, recall: 0.9586, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.4045, scimark_benchmark: 1257.9293, usercpu_time_millis: 1687.565, usercpu_time_millis_testing: 77.594, usercpu_time_millis_training: 1609.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9533, kappa: 0.885, kb_relative_information_score: 26901.5963, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9532, predictive_accuracy: 0.9535, prior_entropy: 0.863, recall: 0.9535, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.4274, scimark_benchmark: 1215.6682, usercpu_time_millis: 563.348, usercpu_time_millis_testing: 17.71, usercpu_time_millis_training: 545.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.952, kappa: 0.8813, kb_relative_information_score: 25670.2992, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9522, predictive_accuracy: 0.9524, prior_entropy: 0.863, recall: 0.9524, relative_absolute_error: 0.2822, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.4454, scimark_benchmark: 1251.7776, usercpu_time_millis: 1078.15, usercpu_time_millis_testing: 41.206, usercpu_time_millis_training: 1036.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9684, kappa: 0.9224, kb_relative_information_score: 29749.0386, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9684, predictive_accuracy: 0.9684, prior_entropy: 0.863, recall: 0.9684, relative_absolute_error: 0.1463, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.3464, scimark_benchmark: 1245.346, usercpu_time_millis: 1550.458, usercpu_time_millis_testing: 23.641, usercpu_time_millis_training: 1526.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9484, kappa: 0.8724, kb_relative_information_score: 28197.7744, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9487, predictive_accuracy: 0.9489, prior_entropy: 0.863, recall: 0.9489, relative_absolute_error: 0.191, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.195, root_relative_squared_error: 0.4317, scimark_benchmark: 1303.531, usercpu_time_millis: 15553.947, usercpu_time_millis_testing: 105.898, usercpu_time_millis_training: 15448.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9473, kappa: 0.8698, kb_relative_information_score: 27994.057, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9473, predictive_accuracy: 0.9477, prior_entropy: 0.863, recall: 0.9477, relative_absolute_error: 0.1948, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.441, scimark_benchmark: 1279.3462, usercpu_time_millis: 15537.336, usercpu_time_millis_testing: 151.788, usercpu_time_millis_training: 15385.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9604, kappa: 0.9028, kb_relative_information_score: 28499.4435, mean_absolute_error: 0.0752, 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: 0.1842, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.3895, scimark_benchmark: 1232.1393, usercpu_time_millis: 1708.461, usercpu_time_millis_testing: 47.645, usercpu_time_millis_training: 1660.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9691, kappa: 0.9242, kb_relative_information_score: 29717.3914, mean_absolute_error: 0.0605, 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: 0.1482, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.155, root_relative_squared_error: 0.3432, scimark_benchmark: 1252.8079, usercpu_time_millis: 1732.093, usercpu_time_millis_testing: 38.655, usercpu_time_millis_training: 1693.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.968, kappa: 0.9214, kb_relative_information_score: 29759.0549, mean_absolute_error: 0.0591, 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: 0.1447, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.3531, scimark_benchmark: 1302.8041, usercpu_time_millis: 6410.371, usercpu_time_millis_testing: 22.833, usercpu_time_millis_training: 6387.538,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9217, kappa: 0.8038, kb_relative_information_score: 23983.3503, mean_absolute_error: 0.1327, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9252, predictive_accuracy: 0.924, prior_entropy: 0.863, recall: 0.924, relative_absolute_error: 0.3251, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.5115, scimark_benchmark: 1242.2364, usercpu_time_millis: 4270.317, usercpu_time_millis_testing: 73.631, usercpu_time_millis_training: 4196.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9273, kappa: 0.819, kb_relative_information_score: 21292.8732, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9285, predictive_accuracy: 0.9287, prior_entropy: 0.863, recall: 0.9287, relative_absolute_error: 0.4186, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.5475, scimark_benchmark: 1247.645, usercpu_time_millis: 1124.934, usercpu_time_millis_testing: 47.546, usercpu_time_millis_training: 1077.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9658, kappa: 0.916, kb_relative_information_score: 29248.0894, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9658, predictive_accuracy: 0.9658, prior_entropy: 0.863, recall: 0.9658, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3627, scimark_benchmark: 1259.7215, usercpu_time_millis: 1975.623, usercpu_time_millis_testing: 29.567, usercpu_time_millis_training: 1946.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9582, kappa: 0.8971, kb_relative_information_score: 27475.816, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9582, predictive_accuracy: 0.9584, prior_entropy: 0.863, recall: 0.9584, relative_absolute_error: 0.2198, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.184, root_relative_squared_error: 0.4072, scimark_benchmark: 1237.0507, usercpu_time_millis: 861.193, usercpu_time_millis_testing: 22.677, usercpu_time_millis_training: 838.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9521, kappa: 0.8816, kb_relative_information_score: 25417.5366, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9524, predictive_accuracy: 0.9526, prior_entropy: 0.863, recall: 0.9526, relative_absolute_error: 0.2922, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.4481, scimark_benchmark: 1256.8542, usercpu_time_millis: 1477.197, usercpu_time_millis_testing: 88.578, usercpu_time_millis_training: 1388.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9459, kappa: 0.8661, kb_relative_information_score: 25804.1447, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9461, predictive_accuracy: 0.9464, prior_entropy: 0.863, recall: 0.9464, relative_absolute_error: 0.2719, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.4544, scimark_benchmark: 1252.0783, usercpu_time_millis: 699.611, usercpu_time_millis_testing: 24.427, usercpu_time_millis_training: 675.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9615, kappa: 0.9052, kb_relative_information_score: 28163.2023, mean_absolute_error: 0.0814, 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: 0.1996, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.3854, scimark_benchmark: 1210.9759, usercpu_time_millis: 1822.336, usercpu_time_millis_testing: 96.542, usercpu_time_millis_training: 1725.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.925, kappa: 0.8113, kb_relative_information_score: 18654.9981, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9302, predictive_accuracy: 0.9275, prior_entropy: 0.863, recall: 0.9275, relative_absolute_error: 0.5195, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.5936, scimark_benchmark: 1257.1126, usercpu_time_millis: 1005.028, usercpu_time_millis_testing: 70.958, usercpu_time_millis_training: 934.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.937, kappa: 0.8452, kb_relative_information_score: 25250.267, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9369, predictive_accuracy: 0.9373, prior_entropy: 0.863, recall: 0.9373, relative_absolute_error: 0.2839, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.4838, scimark_benchmark: 1279.9337, usercpu_time_millis: 11882.249, usercpu_time_millis_testing: 0.849, usercpu_time_millis_training: 11881.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9516, kappa: 0.8806, kb_relative_information_score: 28582.8288, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9516, predictive_accuracy: 0.9519, prior_entropy: 0.863, recall: 0.9519, relative_absolute_error: 0.1767, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.19, root_relative_squared_error: 0.4207, scimark_benchmark: 1267.2058, usercpu_time_millis: 12533.834, usercpu_time_millis_testing: 105.813, usercpu_time_millis_training: 12428.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9556, kappa: 0.8908, kb_relative_information_score: 27209.3442, mean_absolute_error: 0.0928, 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: 0.2273, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.4168, scimark_benchmark: 1251.8386, usercpu_time_millis: 2991.052, usercpu_time_millis_testing: 98.675, usercpu_time_millis_training: 2892.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9477, kappa: 0.8707, kb_relative_information_score: 25981.2421, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9478, predictive_accuracy: 0.9481, prior_entropy: 0.863, recall: 0.9481, relative_absolute_error: 0.2664, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4497, scimark_benchmark: 1254.2386, usercpu_time_millis: 644.899, usercpu_time_millis_testing: 17.614, usercpu_time_millis_training: 627.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9516, kappa: 0.8811, kb_relative_information_score: 27239.7238, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9515, predictive_accuracy: 0.9517, prior_entropy: 0.863, recall: 0.9517, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.4321, scimark_benchmark: 1221.4183, usercpu_time_millis: 3907.861, usercpu_time_millis_testing: 75.718, usercpu_time_millis_training: 3832.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9586, kappa: 0.8982, kb_relative_information_score: 27808.4546, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9586, predictive_accuracy: 0.9588, prior_entropy: 0.863, recall: 0.9588, relative_absolute_error: 0.208, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.4019, scimark_benchmark: 1268.2203, usercpu_time_millis: 2855.576, usercpu_time_millis_testing: 108.736, usercpu_time_millis_training: 2746.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9193, kappa: 0.7967, kb_relative_information_score: 18168.5593, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9252, predictive_accuracy: 0.9222, prior_entropy: 0.863, recall: 0.9222, relative_absolute_error: 0.5316, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.606, scimark_benchmark: 1253.3392, usercpu_time_millis: 1170.409, usercpu_time_millis_testing: 88.416, usercpu_time_millis_training: 1081.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9534, kappa: 0.8856, kb_relative_information_score: 27279.396, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9533, predictive_accuracy: 0.9535, prior_entropy: 0.863, recall: 0.9535, relative_absolute_error: 0.2204, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.4265, scimark_benchmark: 1260.9452, usercpu_time_millis: 7465.385, usercpu_time_millis_testing: 93.888, usercpu_time_millis_training: 7371.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9455, kappa: 0.8657, kb_relative_information_score: 26317.0805, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9455, predictive_accuracy: 0.9458, prior_entropy: 0.863, recall: 0.9458, relative_absolute_error: 0.2506, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4519, scimark_benchmark: 1260.459, usercpu_time_millis: 2149.289, usercpu_time_millis_testing: 42.01, usercpu_time_millis_training: 2107.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9668, kappa: 0.9184, kb_relative_information_score: 29503.3006, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9667, predictive_accuracy: 0.9668, prior_entropy: 0.863, recall: 0.9668, relative_absolute_error: 0.1536, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.3558, scimark_benchmark: 1245.318, usercpu_time_millis: 5194.301, usercpu_time_millis_testing: 74.461, usercpu_time_millis_training: 5119.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.963, kappa: 0.9091, kb_relative_information_score: 28468.5606, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.963, predictive_accuracy: 0.9632, prior_entropy: 0.863, recall: 0.9632, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.3784, scimark_benchmark: 1242.5035, usercpu_time_millis: 1790.658, usercpu_time_millis_testing: 60.426, usercpu_time_millis_training: 1730.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9651, kappa: 0.9144, kb_relative_information_score: 29118.116, mean_absolute_error: 0.0678, 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: 0.1661, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.3657, scimark_benchmark: 1249.3197, usercpu_time_millis: 2927.84, usercpu_time_millis_testing: 55.516, usercpu_time_millis_training: 2872.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9551, kappa: 0.8891, kb_relative_information_score: 26472.567, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9552, predictive_accuracy: 0.9554, prior_entropy: 0.863, recall: 0.9554, relative_absolute_error: 0.2563, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.4253, scimark_benchmark: 1247.6756, usercpu_time_millis: 2299.563, usercpu_time_millis_testing: 113.916, usercpu_time_millis_training: 2185.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9227, kappa: 0.8062, kb_relative_information_score: 24395.5617, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9261, predictive_accuracy: 0.9249, prior_entropy: 0.863, recall: 0.9249, relative_absolute_error: 0.309, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.5082, scimark_benchmark: 1227.2437, usercpu_time_millis: 1132.376, usercpu_time_millis_testing: 29.29, usercpu_time_millis_training: 1103.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9673, kappa: 0.9196, kb_relative_information_score: 29008.2938, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9673, predictive_accuracy: 0.9674, prior_entropy: 0.863, recall: 0.9674, relative_absolute_error: 0.1726, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.3592, scimark_benchmark: 1235.5506, usercpu_time_millis: 109.897, usercpu_time_millis_testing: 5.583, usercpu_time_millis_training: 104.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9556, kappa: 0.891, kb_relative_information_score: 27969.777, mean_absolute_error: 0.0809, 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: 0.1982, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.185, root_relative_squared_error: 0.4095, scimark_benchmark: 1222.9244, usercpu_time_millis: 90.667, usercpu_time_millis_testing: 3.664, usercpu_time_millis_training: 87.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9559, kappa: 0.8916, kb_relative_information_score: 27900.8182, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9558, predictive_accuracy: 0.956, prior_entropy: 0.863, recall: 0.956, relative_absolute_error: 0.2021, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.4086, scimark_benchmark: 1245.2314, usercpu_time_millis: 39.594, usercpu_time_millis_testing: 2.994, usercpu_time_millis_training: 36.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9387, kappa: 0.8479, kb_relative_information_score: 24791.3503, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9391, predictive_accuracy: 0.9395, prior_entropy: 0.863, recall: 0.9395, relative_absolute_error: 0.3038, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.481, scimark_benchmark: 1256.9226, usercpu_time_millis: 1444.502, usercpu_time_millis_testing: 50.485, usercpu_time_millis_training: 1394.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9679, kappa: 0.9211, kb_relative_information_score: 29445.8926, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9678, predictive_accuracy: 0.9679, prior_entropy: 0.863, recall: 0.9679, relative_absolute_error: 0.1573, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.3504, scimark_benchmark: 1265.1145, usercpu_time_millis: 1377.859, usercpu_time_millis_testing: 38.796, usercpu_time_millis_training: 1339.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9595, kappa: 0.9007, kb_relative_information_score: 28370.3987, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3934, scimark_benchmark: 1232.296, usercpu_time_millis: 3904.376, usercpu_time_millis_testing: 44.619, usercpu_time_millis_training: 3859.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9584, kappa: 0.8977, kb_relative_information_score: 28037.0264, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9583, predictive_accuracy: 0.9585, prior_entropy: 0.863, recall: 0.9585, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.4008, scimark_benchmark: 1268.6623, usercpu_time_millis: 1709.023, usercpu_time_millis_testing: 79.015, usercpu_time_millis_training: 1630.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9576, kappa: 0.8958, kb_relative_information_score: 27864.9139, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9575, predictive_accuracy: 0.9577, prior_entropy: 0.863, recall: 0.9577, relative_absolute_error: 0.2035, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.4062, scimark_benchmark: 1259.9238, usercpu_time_millis: 1351.708, usercpu_time_millis_testing: 22.994, usercpu_time_millis_training: 1328.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9538, kappa: 0.8867, kb_relative_information_score: 27355.4513, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9538, predictive_accuracy: 0.954, prior_entropy: 0.863, recall: 0.954, relative_absolute_error: 0.2186, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.424, scimark_benchmark: 1246.6298, usercpu_time_millis: 2537.593, usercpu_time_millis_testing: 64.739, usercpu_time_millis_training: 2472.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9496, kappa: 0.8752, kb_relative_information_score: 24099.5639, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9502, predictive_accuracy: 0.9503, prior_entropy: 0.863, recall: 0.9503, relative_absolute_error: 0.3386, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.4728, scimark_benchmark: 1228.179, usercpu_time_millis: 977.73, usercpu_time_millis_testing: 75.957, usercpu_time_millis_training: 901.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9549, kappa: 0.889, kb_relative_information_score: 26966.3023, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9549, predictive_accuracy: 0.9552, prior_entropy: 0.863, recall: 0.9552, relative_absolute_error: 0.236, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.4212, scimark_benchmark: 1262.2229, usercpu_time_millis: 998.2, usercpu_time_millis_testing: 40.873, usercpu_time_millis_training: 957.327,

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