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: 0.9927, f_measure: 0.9665, kappa: 0.9178, kb_relative_information_score: 29713.7394, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9664, predictive_accuracy: 0.9665, prior_entropy: 0.863, recall: 0.9665, relative_absolute_error: 0.1453, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.3577, scimark_benchmark: 1274.8875, usercpu_time_millis: 636.613, usercpu_time_millis_testing: 7.443, usercpu_time_millis_training: 629.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9606, kappa: 0.9032, kb_relative_information_score: 28583.6588, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9605, predictive_accuracy: 0.9607, prior_entropy: 0.863, recall: 0.9607, relative_absolute_error: 0.1815, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.3867, scimark_benchmark: 1266.7442, usercpu_time_millis: 341.624, usercpu_time_millis_testing: 12.878, usercpu_time_millis_training: 328.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9684, kappa: 0.9224, kb_relative_information_score: 29770.3957, mean_absolute_error: 0.0594, 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: 0.1455, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.3455, scimark_benchmark: 1273.7653, usercpu_time_millis: 355.047, usercpu_time_millis_testing: 9.869, usercpu_time_millis_training: 345.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9636, kappa: 0.9107, kb_relative_information_score: 28998.162, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9636, predictive_accuracy: 0.9637, prior_entropy: 0.863, recall: 0.9637, relative_absolute_error: 0.1685, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.3749, scimark_benchmark: 1259.2394, usercpu_time_millis: 433.274, usercpu_time_millis_testing: 9.281, usercpu_time_millis_training: 423.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9578, kappa: 0.8961, kb_relative_information_score: 27658.3573, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9577, predictive_accuracy: 0.958, prior_entropy: 0.863, recall: 0.958, relative_absolute_error: 0.2134, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.183, root_relative_squared_error: 0.4051, scimark_benchmark: 1275.1395, usercpu_time_millis: 317.958, usercpu_time_millis_testing: 17.369, usercpu_time_millis_training: 300.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9685, kappa: 0.9228, kb_relative_information_score: 29780.4963, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9685, predictive_accuracy: 0.9686, prior_entropy: 0.863, recall: 0.9686, relative_absolute_error: 0.1455, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.3444, scimark_benchmark: 1257.5352, usercpu_time_millis: 673.838, usercpu_time_millis_testing: 15.702, usercpu_time_millis_training: 658.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9665, kappa: 0.9178, kb_relative_information_score: 29394.6496, mean_absolute_error: 0.0641, 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: 0.1571, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.3588, scimark_benchmark: 1273.4164, usercpu_time_millis: 180.766, usercpu_time_millis_testing: 5.828, usercpu_time_millis_training: 174.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9588, kappa: 0.8987, kb_relative_information_score: 28354.0851, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9587, predictive_accuracy: 0.9589, prior_entropy: 0.863, recall: 0.9589, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.3994, scimark_benchmark: 1270.7852, usercpu_time_millis: 697.904, usercpu_time_millis_testing: 9.244, usercpu_time_millis_training: 688.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9665, kappa: 0.9179, kb_relative_information_score: 29672.0545, mean_absolute_error: 0.0598, 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: 0.1466, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.3588, scimark_benchmark: 1275.1799, usercpu_time_millis: 695.279, usercpu_time_millis_testing: 6.151, usercpu_time_millis_training: 689.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9601, kappa: 0.902, kb_relative_information_score: 28400.6571, mean_absolute_error: 0.0767, 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: 0.1879, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.3904, scimark_benchmark: 1271.0979, usercpu_time_millis: 348.471, usercpu_time_millis_testing: 13.556, usercpu_time_millis_training: 334.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9633, kappa: 0.9098, kb_relative_information_score: 29077.746, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9632, predictive_accuracy: 0.9633, prior_entropy: 0.863, recall: 0.9633, relative_absolute_error: 0.1657, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.17, root_relative_squared_error: 0.3764, scimark_benchmark: 1246.4709, usercpu_time_millis: 798.011, usercpu_time_millis_testing: 7.533, usercpu_time_millis_training: 790.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.962, kappa: 0.9066, kb_relative_information_score: 29042.1567, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9619, predictive_accuracy: 0.9621, prior_entropy: 0.863, recall: 0.9621, relative_absolute_error: 0.1659, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.3799, scimark_benchmark: 1272.2091, usercpu_time_millis: 262.349, usercpu_time_millis_testing: 6.958, usercpu_time_millis_training: 255.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9583, kappa: 0.8976, kb_relative_information_score: 28291.2815, mean_absolute_error: 0.0773, 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: 0.1895, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.401, scimark_benchmark: 1265.6285, usercpu_time_millis: 390.992, usercpu_time_millis_testing: 8.462, usercpu_time_millis_training: 382.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9621, kappa: 0.9068, kb_relative_information_score: 28816.4398, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.962, predictive_accuracy: 0.9621, prior_entropy: 0.863, recall: 0.9621, relative_absolute_error: 0.1741, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.3812, scimark_benchmark: 1267.8075, usercpu_time_millis: 297.107, usercpu_time_millis_testing: 7.554, usercpu_time_millis_training: 289.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9641, kappa: 0.9118, kb_relative_information_score: 28706.3326, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9641, predictive_accuracy: 0.9642, prior_entropy: 0.863, recall: 0.9642, relative_absolute_error: 0.1808, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.3737, scimark_benchmark: 1274.8286, usercpu_time_millis: 364.799, usercpu_time_millis_testing: 18.311, usercpu_time_millis_training: 346.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9422, kappa: 0.8593, kb_relative_information_score: 28467.4508, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9428, predictive_accuracy: 0.9419, prior_entropy: 0.863, recall: 0.9419, relative_absolute_error: 0.1667, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.4569, scimark_benchmark: 1269.551, usercpu_time_millis: 39.76, usercpu_time_millis_testing: 2.79, usercpu_time_millis_training: 36.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9632, kappa: 0.9095, kb_relative_information_score: 28916.828, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9631, predictive_accuracy: 0.9632, prior_entropy: 0.863, recall: 0.9632, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.3744, scimark_benchmark: 1258.7417, usercpu_time_millis: 376.86, usercpu_time_millis_testing: 10.979, usercpu_time_millis_training: 365.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9321, kappa: 0.8296, kb_relative_information_score: 19491.5703, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.936, predictive_accuracy: 0.934, prior_entropy: 0.863, recall: 0.934, relative_absolute_error: 0.4944, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.259, root_relative_squared_error: 0.5734, scimark_benchmark: 1268.7096, usercpu_time_millis: 515.291, usercpu_time_millis_testing: 36.269, usercpu_time_millis_training: 479.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.961, kappa: 0.9042, kb_relative_information_score: 28578.6436, mean_absolute_error: 0.0743, 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: 0.1822, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.3857, scimark_benchmark: 1263.5185, usercpu_time_millis: 522.9, usercpu_time_millis_testing: 15.789, usercpu_time_millis_training: 507.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9658, kappa: 0.9162, kb_relative_information_score: 29342.0643, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9658, predictive_accuracy: 0.9659, prior_entropy: 0.863, recall: 0.9659, relative_absolute_error: 0.1587, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3605, scimark_benchmark: 1259.6025, usercpu_time_millis: 872.906, usercpu_time_millis_testing: 17.016, usercpu_time_millis_training: 855.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9673, kappa: 0.9197, kb_relative_information_score: 29678.9836, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9673, predictive_accuracy: 0.9673, prior_entropy: 0.863, recall: 0.9673, relative_absolute_error: 0.1473, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.3534, scimark_benchmark: 1271.7189, usercpu_time_millis: 289.673, usercpu_time_millis_testing: 6.702, usercpu_time_millis_training: 282.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9667, kappa: 0.9183, kb_relative_information_score: 29955.4231, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9667, predictive_accuracy: 0.9667, prior_entropy: 0.863, recall: 0.9667, relative_absolute_error: 0.1358, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.3579, scimark_benchmark: 1262.6344, usercpu_time_millis: 346.182, usercpu_time_millis_testing: 4.921, usercpu_time_millis_training: 341.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9668, kappa: 0.9184, kb_relative_information_score: 29070.6217, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9668, predictive_accuracy: 0.9669, prior_entropy: 0.863, recall: 0.9669, relative_absolute_error: 0.17, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.36, scimark_benchmark: 1260.9615, usercpu_time_millis: 530.324, usercpu_time_millis_testing: 17.78, usercpu_time_millis_training: 512.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9579, kappa: 0.8966, kb_relative_information_score: 27953.1831, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9579, predictive_accuracy: 0.958, prior_entropy: 0.863, recall: 0.958, relative_absolute_error: 0.2018, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.4033, scimark_benchmark: 1274.6749, usercpu_time_millis: 624.521, usercpu_time_millis_testing: 27.956, usercpu_time_millis_training: 596.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9572, kappa: 0.895, kb_relative_information_score: 28151.2936, mean_absolute_error: 0.0793, 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: 0.1944, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.4018, scimark_benchmark: 1253.4489, usercpu_time_millis: 715.671, usercpu_time_millis_testing: 18.835, usercpu_time_millis_training: 696.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9641, kappa: 0.9117, kb_relative_information_score: 27884.9647, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9642, predictive_accuracy: 0.9643, prior_entropy: 0.863, recall: 0.9643, relative_absolute_error: 0.2126, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.3825, scimark_benchmark: 1262.693, usercpu_time_millis: 203.145, usercpu_time_millis_testing: 11.268, usercpu_time_millis_training: 191.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9674, kappa: 0.92, kb_relative_information_score: 29315.608, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9675, prior_entropy: 0.863, recall: 0.9675, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.3533, scimark_benchmark: 1267.3807, usercpu_time_millis: 919.492, usercpu_time_millis_testing: 25.719, usercpu_time_millis_training: 893.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9292, kappa: 0.8222, kb_relative_information_score: 19143.2272, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9335, predictive_accuracy: 0.9314, prior_entropy: 0.863, recall: 0.9314, relative_absolute_error: 0.5044, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.582, scimark_benchmark: 1255.682, usercpu_time_millis: 512.922, usercpu_time_millis_testing: 39.441, usercpu_time_millis_training: 473.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9644, kappa: 0.9125, kb_relative_information_score: 29258.5718, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9643, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.1603, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.3672, scimark_benchmark: 1253.7727, usercpu_time_millis: 450.005, usercpu_time_millis_testing: 9.872, usercpu_time_millis_training: 440.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9605, kappa: 0.9028, kb_relative_information_score: 28628.3806, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9604, predictive_accuracy: 0.9606, prior_entropy: 0.863, recall: 0.9606, relative_absolute_error: 0.179, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.3907, scimark_benchmark: 1250.8214, usercpu_time_millis: 286.923, usercpu_time_millis_testing: 7.207, usercpu_time_millis_training: 279.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9609, kappa: 0.9038, kb_relative_information_score: 28808.443, mean_absolute_error: 0.0707, 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: 0.1733, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.3867, scimark_benchmark: 1253.4306, usercpu_time_millis: 602.814, usercpu_time_millis_testing: 7.255, usercpu_time_millis_training: 595.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.962, kappa: 0.9062, kb_relative_information_score: 27546.3553, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.962, predictive_accuracy: 0.9622, prior_entropy: 0.863, recall: 0.9622, relative_absolute_error: 0.224, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.3913, scimark_benchmark: 1266.7876, usercpu_time_millis: 640.752, usercpu_time_millis_testing: 38.678, usercpu_time_millis_training: 602.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.957, kappa: 0.8936, kb_relative_information_score: 25684.5006, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9573, predictive_accuracy: 0.9574, prior_entropy: 0.863, recall: 0.9574, relative_absolute_error: 0.2888, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.4312, scimark_benchmark: 1262.2448, usercpu_time_millis: 648.631, usercpu_time_millis_testing: 43.36, usercpu_time_millis_training: 605.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9593, kappa: 0.9001, kb_relative_information_score: 28517.0312, mean_absolute_error: 0.0746, 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: 0.1829, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.393, scimark_benchmark: 1253.3931, usercpu_time_millis: 871.394, usercpu_time_millis_testing: 12.362, usercpu_time_millis_training: 859.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9593, kappa: 0.9, kb_relative_information_score: 28539.4085, mean_absolute_error: 0.0737, 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: 0.1806, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.18, root_relative_squared_error: 0.3985, scimark_benchmark: 1256.7946, usercpu_time_millis: 197.293, usercpu_time_millis_testing: 3.915, usercpu_time_millis_training: 193.378,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.965, kappa: 0.914, kb_relative_information_score: 29437.5179, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.965, prior_entropy: 0.863, recall: 0.965, relative_absolute_error: 0.1536, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.3673, scimark_benchmark: 1256.7223, usercpu_time_millis: 393.629, usercpu_time_millis_testing: 4.95, usercpu_time_millis_training: 388.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9675, kappa: 0.9202, kb_relative_information_score: 29741.9819, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9675, predictive_accuracy: 0.9675, prior_entropy: 0.863, recall: 0.9675, relative_absolute_error: 0.1452, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.3524, scimark_benchmark: 1281.1126, usercpu_time_millis: 617.339, usercpu_time_millis_testing: 7.615, usercpu_time_millis_training: 609.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9627, kappa: 0.9085, kb_relative_information_score: 29052.258, mean_absolute_error: 0.0673, 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: 0.1649, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.172, root_relative_squared_error: 0.3809, scimark_benchmark: 1277.1614, usercpu_time_millis: 275.274, usercpu_time_millis_testing: 6.344, usercpu_time_millis_training: 268.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9681, kappa: 0.9219, kb_relative_information_score: 29937.1374, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9681, predictive_accuracy: 0.9682, prior_entropy: 0.863, recall: 0.9682, relative_absolute_error: 0.1384, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.158, root_relative_squared_error: 0.3497, scimark_benchmark: 1279.5556, usercpu_time_millis: 535.553, usercpu_time_millis_testing: 6.784, usercpu_time_millis_training: 528.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9556, kappa: 0.8905, kb_relative_information_score: 27285.5108, mean_absolute_error: 0.0923, 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: 0.2261, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.4137, scimark_benchmark: 1286.2502, usercpu_time_millis: 79.319, usercpu_time_millis_testing: 5.585, usercpu_time_millis_training: 73.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9627, kappa: 0.9085, kb_relative_information_score: 29016.4898, mean_absolute_error: 0.0684, 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: 0.1675, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.3774, scimark_benchmark: 1266.8156, usercpu_time_millis: 329.05, usercpu_time_millis_testing: 5.467, usercpu_time_millis_training: 323.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9267, kappa: 0.8159, kb_relative_information_score: 18839.1717, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9317, predictive_accuracy: 0.9292, prior_entropy: 0.863, recall: 0.9292, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.5893, scimark_benchmark: 1267.7764, usercpu_time_millis: 722.173, usercpu_time_millis_testing: 59.611, usercpu_time_millis_training: 662.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9216, kappa: 0.8028, kb_relative_information_score: 18511.3265, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9269, predictive_accuracy: 0.9243, prior_entropy: 0.863, recall: 0.9243, relative_absolute_error: 0.5206, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2704, root_relative_squared_error: 0.5986, scimark_benchmark: 1264.098, usercpu_time_millis: 96.092, usercpu_time_millis_testing: 7.066, usercpu_time_millis_training: 89.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9552, kappa: 0.8898, kb_relative_information_score: 28339.4347, mean_absolute_error: 0.075, 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: 0.1838, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.4153, scimark_benchmark: 1260.8434, usercpu_time_millis: 108.123, usercpu_time_millis_testing: 3.839, usercpu_time_millis_training: 104.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9559, kappa: 0.8916, kb_relative_information_score: 28101.0492, mean_absolute_error: 0.0797, 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: 0.1953, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.4071, scimark_benchmark: 1263.7449, usercpu_time_millis: 251.195, usercpu_time_millis_testing: 6.809, usercpu_time_millis_training: 244.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9604, kappa: 0.9027, kb_relative_information_score: 28319.3237, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9603, predictive_accuracy: 0.9605, prior_entropy: 0.863, recall: 0.9605, relative_absolute_error: 0.1908, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.3914, scimark_benchmark: 1274.4308, usercpu_time_millis: 387.625, usercpu_time_millis_testing: 14.069, usercpu_time_millis_training: 373.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9647, kappa: 0.9133, kb_relative_information_score: 29315.5598, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9647, predictive_accuracy: 0.9647, prior_entropy: 0.863, recall: 0.9647, relative_absolute_error: 0.1582, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.3684, scimark_benchmark: 1262.959, usercpu_time_millis: 957.835, usercpu_time_millis_testing: 6.385, usercpu_time_millis_training: 951.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9298, kappa: 0.824, kb_relative_information_score: 19294.7476, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9338, predictive_accuracy: 0.9319, prior_entropy: 0.863, recall: 0.9319, relative_absolute_error: 0.499, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.5794, scimark_benchmark: 1271.535, usercpu_time_millis: 99.541, usercpu_time_millis_testing: 8.814, usercpu_time_millis_training: 90.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9667, kappa: 0.9182, kb_relative_information_score: 28772.8531, mean_absolute_error: 0.0739, 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: 0.181, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.3646, scimark_benchmark: 1260.0197, usercpu_time_millis: 427.517, usercpu_time_millis_testing: 17.617, usercpu_time_millis_training: 409.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9658, kappa: 0.916, kb_relative_information_score: 29257.6865, mean_absolute_error: 0.0662, 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: 0.1622, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.3602, scimark_benchmark: 1265.8896, usercpu_time_millis: 900.707, usercpu_time_millis_testing: 21.812, usercpu_time_millis_training: 878.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9593, kappa: 0.8998, kb_relative_information_score: 27874.4989, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9592, predictive_accuracy: 0.9594, prior_entropy: 0.863, recall: 0.9594, relative_absolute_error: 0.2062, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.4, scimark_benchmark: 1255.2038, usercpu_time_millis: 935.995, usercpu_time_millis_testing: 49.029, usercpu_time_millis_training: 886.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.96, kappa: 0.9018, kb_relative_information_score: 28672.2793, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.96, predictive_accuracy: 0.9601, prior_entropy: 0.863, recall: 0.9601, relative_absolute_error: 0.1772, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.3928, scimark_benchmark: 1262.0612, usercpu_time_millis: 337.808, usercpu_time_millis_testing: 5.879, usercpu_time_millis_training: 331.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9632, kappa: 0.9096, kb_relative_information_score: 29127.8659, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9632, predictive_accuracy: 0.9633, prior_entropy: 0.863, recall: 0.9633, relative_absolute_error: 0.1634, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.3769, scimark_benchmark: 1275.1518, usercpu_time_millis: 739.258, usercpu_time_millis_testing: 7.411, usercpu_time_millis_training: 731.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9674, kappa: 0.9201, kb_relative_information_score: 29679.6683, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9674, prior_entropy: 0.863, recall: 0.9674, relative_absolute_error: 0.1475, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.3534, scimark_benchmark: 1262.6614, usercpu_time_millis: 504.453, usercpu_time_millis_testing: 8.234, usercpu_time_millis_training: 496.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9594, kappa: 0.9001, kb_relative_information_score: 27577.3624, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.2183, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.4025, scimark_benchmark: 1272.8043, usercpu_time_millis: 70.599, usercpu_time_millis_testing: 6.282, usercpu_time_millis_training: 64.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9676, kappa: 0.9206, kb_relative_information_score: 29830.1871, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9676, predictive_accuracy: 0.9677, prior_entropy: 0.863, recall: 0.9677, relative_absolute_error: 0.1429, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1568, root_relative_squared_error: 0.347, scimark_benchmark: 1261.3201, usercpu_time_millis: 550.889, usercpu_time_millis_testing: 9.776, usercpu_time_millis_training: 541.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9662, kappa: 0.9171, kb_relative_information_score: 29274.3051, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9662, predictive_accuracy: 0.9663, prior_entropy: 0.863, recall: 0.9663, relative_absolute_error: 0.1614, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3604, scimark_benchmark: 1266.2191, usercpu_time_millis: 309.091, usercpu_time_millis_testing: 10.444, usercpu_time_millis_training: 298.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.957, kappa: 0.8944, kb_relative_information_score: 28043.9797, mean_absolute_error: 0.0804, 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: 0.1971, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.4078, scimark_benchmark: 1271.1707, usercpu_time_millis: 372.708, usercpu_time_millis_testing: 9.235, usercpu_time_millis_training: 363.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9613, kappa: 0.9049, kb_relative_information_score: 28747.6495, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9612, predictive_accuracy: 0.9614, prior_entropy: 0.863, recall: 0.9614, relative_absolute_error: 0.1757, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.3859, scimark_benchmark: 1268.2452, usercpu_time_millis: 717.499, usercpu_time_millis_testing: 7.705, usercpu_time_millis_training: 709.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9681, kappa: 0.9217, kb_relative_information_score: 29845.446, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9681, predictive_accuracy: 0.9681, prior_entropy: 0.863, recall: 0.9681, relative_absolute_error: 0.142, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.3491, scimark_benchmark: 1268.6572, usercpu_time_millis: 742.408, usercpu_time_millis_testing: 9.269, usercpu_time_millis_training: 733.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.967, kappa: 0.919, kb_relative_information_score: 29522.8681, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9669, predictive_accuracy: 0.967, prior_entropy: 0.863, recall: 0.967, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.3558, scimark_benchmark: 1277.3295, usercpu_time_millis: 361.925, usercpu_time_millis_testing: 8.33, usercpu_time_millis_training: 353.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9656, kappa: 0.9155, kb_relative_information_score: 29365.55, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9656, predictive_accuracy: 0.9656, prior_entropy: 0.863, recall: 0.9656, relative_absolute_error: 0.1574, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3627, scimark_benchmark: 1268.31, usercpu_time_millis: 942.066, usercpu_time_millis_testing: 12.606, usercpu_time_millis_training: 929.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9634, kappa: 0.91, kb_relative_information_score: 28789.8522, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9633, predictive_accuracy: 0.9635, prior_entropy: 0.863, recall: 0.9635, relative_absolute_error: 0.1763, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.3762, scimark_benchmark: 1257.8094, usercpu_time_millis: 396.689, usercpu_time_millis_testing: 11.907, usercpu_time_millis_training: 384.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9606, kappa: 0.9032, kb_relative_information_score: 28075.4985, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9606, predictive_accuracy: 0.9608, prior_entropy: 0.863, recall: 0.9608, relative_absolute_error: 0.2021, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.3889, scimark_benchmark: 1259.2861, usercpu_time_millis: 605.506, usercpu_time_millis_testing: 29.586, usercpu_time_millis_training: 575.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.964, kappa: 0.9114, kb_relative_information_score: 28277.0036, mean_absolute_error: 0.0809, 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: 0.1982, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.17, root_relative_squared_error: 0.3763, scimark_benchmark: 1265.5051, usercpu_time_millis: 867.955, usercpu_time_millis_testing: 41.939, usercpu_time_millis_training: 826.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9572, kappa: 0.8948, kb_relative_information_score: 28002.7715, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9571, predictive_accuracy: 0.9573, prior_entropy: 0.863, recall: 0.9573, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.4057, scimark_benchmark: 1255.394, usercpu_time_millis: 869.748, usercpu_time_millis_testing: 28.307, usercpu_time_millis_training: 841.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9618, kappa: 0.9064, kb_relative_information_score: 29189.8838, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9618, predictive_accuracy: 0.9619, prior_entropy: 0.863, recall: 0.9619, relative_absolute_error: 0.1588, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.3822, scimark_benchmark: 1274.8756, usercpu_time_millis: 98.76, usercpu_time_millis_testing: 4.168, usercpu_time_millis_training: 94.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.958, kappa: 0.8966, kb_relative_information_score: 27607.9839, mean_absolute_error: 0.0881, 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: 0.216, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.4042, scimark_benchmark: 1261.6294, usercpu_time_millis: 526.227, usercpu_time_millis_testing: 33.329, usercpu_time_millis_training: 492.898,

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

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