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: 0.9837, f_measure: 0.9401, kappa: 0.8528, kb_relative_information_score: 26685.7912, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.94, predictive_accuracy: 0.9402, prior_entropy: 0.863, recall: 0.9402, relative_absolute_error: 0.2341, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.4625, scimark_benchmark: 1282.4287, usercpu_time_millis: 6924.346, usercpu_time_millis_testing: 0.815, usercpu_time_millis_training: 6923.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9671, kappa: 0.9193, kb_relative_information_score: 29451.2597, mean_absolute_error: 0.0635, 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: 0.1556, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.3559, scimark_benchmark: 1276.3694, usercpu_time_millis: 1365.592, usercpu_time_millis_testing: 23.563, usercpu_time_millis_training: 1342.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9741, kappa: 0.9366, kb_relative_information_score: 31729.7285, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9741, predictive_accuracy: 0.9741, prior_entropy: 0.863, recall: 0.9741, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.3153, scimark_benchmark: 1266.3554, usercpu_time_millis: 14476.757, usercpu_time_millis_testing: 39.623, usercpu_time_millis_training: 14437.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9671, kappa: 0.9192, kb_relative_information_score: 29563.6075, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9671, predictive_accuracy: 0.9671, prior_entropy: 0.863, recall: 0.9671, relative_absolute_error: 0.151, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.3575, scimark_benchmark: 1290.1096, usercpu_time_millis: 3024.481, usercpu_time_millis_testing: 25.445, usercpu_time_millis_training: 2999.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9679, kappa: 0.9212, kb_relative_information_score: 29792.3745, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9679, predictive_accuracy: 0.9679, prior_entropy: 0.863, recall: 0.9679, relative_absolute_error: 0.1442, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.158, root_relative_squared_error: 0.3497, scimark_benchmark: 1253.1678, usercpu_time_millis: 5069.553, usercpu_time_millis_testing: 27.144, usercpu_time_millis_training: 5042.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.947, kappa: 0.8695, kb_relative_information_score: 26564.0943, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.947, predictive_accuracy: 0.9473, prior_entropy: 0.863, recall: 0.9473, relative_absolute_error: 0.2459, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.4402, scimark_benchmark: 1264.5871, usercpu_time_millis: 4032.538, usercpu_time_millis_testing: 20.883, usercpu_time_millis_training: 4011.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9671, kappa: 0.9194, kb_relative_information_score: 29523.3827, mean_absolute_error: 0.0624, 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: 0.1528, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.3569, scimark_benchmark: 1287.6351, usercpu_time_millis: 5258.361, usercpu_time_millis_testing: 42.976, usercpu_time_millis_training: 5215.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9589, kappa: 0.8991, kb_relative_information_score: 28320.7699, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9589, predictive_accuracy: 0.959, prior_entropy: 0.863, recall: 0.959, relative_absolute_error: 0.1897, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3948, scimark_benchmark: 1278.5602, usercpu_time_millis: 2873.548, usercpu_time_millis_testing: 86.041, usercpu_time_millis_training: 2787.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9349, kappa: 0.8381, kb_relative_information_score: 23622.0496, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9358, predictive_accuracy: 0.9359, prior_entropy: 0.863, recall: 0.9359, relative_absolute_error: 0.35, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.4957, scimark_benchmark: 1296.4023, usercpu_time_millis: 1652.386, usercpu_time_millis_testing: 2.539, usercpu_time_millis_training: 1649.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9595, kappa: 0.9005, kb_relative_information_score: 28530.0052, mean_absolute_error: 0.0746, 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: 0.1828, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.3923, scimark_benchmark: 1262.1631, usercpu_time_millis: 6159.131, usercpu_time_millis_testing: 60.331, usercpu_time_millis_training: 6098.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9372, kappa: 0.8457, kb_relative_information_score: 26067.051, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9371, predictive_accuracy: 0.9374, prior_entropy: 0.863, recall: 0.9374, relative_absolute_error: 0.2544, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.215, root_relative_squared_error: 0.476, scimark_benchmark: 1286.6148, usercpu_time_millis: 5329.576, usercpu_time_millis_testing: 0.832, usercpu_time_millis_training: 5328.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9648, kappa: 0.9137, kb_relative_information_score: 29492.8279, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9648, predictive_accuracy: 0.9649, prior_entropy: 0.863, recall: 0.9649, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3664, scimark_benchmark: 1297.1934, usercpu_time_millis: 1708.1, usercpu_time_millis_testing: 10.001, usercpu_time_millis_training: 1698.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9316, kappa: 0.8285, kb_relative_information_score: 19366.8929, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9358, predictive_accuracy: 0.9337, prior_entropy: 0.863, recall: 0.9337, relative_absolute_error: 0.4989, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2602, root_relative_squared_error: 0.5761, scimark_benchmark: 1292.2103, usercpu_time_millis: 453.874, usercpu_time_millis_testing: 32.056, usercpu_time_millis_training: 421.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.963, kappa: 0.9093, kb_relative_information_score: 29879.7122, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.963, predictive_accuracy: 0.9631, prior_entropy: 0.863, recall: 0.9631, relative_absolute_error: 0.1354, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.3686, scimark_benchmark: 1284.1634, usercpu_time_millis: 11957.434, usercpu_time_millis_testing: 27.899, usercpu_time_millis_training: 11929.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9644, kappa: 0.9125, kb_relative_information_score: 29289.4211, mean_absolute_error: 0.0648, 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: 0.1588, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.3702, scimark_benchmark: 1292.9899, usercpu_time_millis: 4997.732, usercpu_time_millis_testing: 25.732, usercpu_time_millis_training: 4972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9656, kappa: 0.9156, kb_relative_information_score: 29186.6701, mean_absolute_error: 0.068, 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: 0.1667, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3607, scimark_benchmark: 1272.9173, usercpu_time_millis: 16743.76, usercpu_time_millis_testing: 61.635, usercpu_time_millis_training: 16682.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9633, kappa: 0.9098, kb_relative_information_score: 29031.5923, mean_absolute_error: 0.0682, 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: 0.1672, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.3771, scimark_benchmark: 1276.6192, usercpu_time_millis: 4491.662, usercpu_time_millis_testing: 28.693, usercpu_time_millis_training: 4462.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9642, kappa: 0.9122, kb_relative_information_score: 29342.3604, mean_absolute_error: 0.064, 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: 0.1568, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.3703, scimark_benchmark: 1289.7641, usercpu_time_millis: 1201.827, usercpu_time_millis_testing: 7.349, usercpu_time_millis_training: 1194.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9449, kappa: 0.8647, kb_relative_information_score: 27345.1664, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9448, predictive_accuracy: 0.9451, prior_entropy: 0.863, recall: 0.9451, relative_absolute_error: 0.2135, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.446, scimark_benchmark: 1282.1201, usercpu_time_millis: 17162.887, usercpu_time_millis_testing: 1.182, usercpu_time_millis_training: 17161.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9317, kappa: 0.8288, kb_relative_information_score: 19422.2403, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9357, predictive_accuracy: 0.9337, prior_entropy: 0.863, recall: 0.9337, relative_absolute_error: 0.4964, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2598, root_relative_squared_error: 0.5751, scimark_benchmark: 1265.8391, usercpu_time_millis: 474.89, usercpu_time_millis_testing: 35.656, usercpu_time_millis_training: 439.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9677, kappa: 0.9208, kb_relative_information_score: 29760.2236, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9677, predictive_accuracy: 0.9677, prior_entropy: 0.863, recall: 0.9677, relative_absolute_error: 0.1445, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.3535, scimark_benchmark: 1279.861, usercpu_time_millis: 3345.787, usercpu_time_millis_testing: 19.328, usercpu_time_millis_training: 3326.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9622, kappa: 0.9072, kb_relative_information_score: 28837.076, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9622, predictive_accuracy: 0.9623, prior_entropy: 0.863, recall: 0.9623, relative_absolute_error: 0.1733, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.3823, scimark_benchmark: 1300.8157, usercpu_time_millis: 3530.105, usercpu_time_millis_testing: 30.842, usercpu_time_millis_training: 3499.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9676, kappa: 0.9206, kb_relative_information_score: 29707.4486, mean_absolute_error: 0.0598, 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: 0.1465, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.3534, scimark_benchmark: 1298.8964, usercpu_time_millis: 6865.515, usercpu_time_millis_testing: 49.167, usercpu_time_millis_training: 6816.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9649, kappa: 0.9139, kb_relative_information_score: 29274.5599, mean_absolute_error: 0.0653, 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: 0.1601, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3669, scimark_benchmark: 1275.1511, usercpu_time_millis: 2645.002, usercpu_time_millis_testing: 22.927, usercpu_time_millis_training: 2622.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9462, kappa: 0.8671, kb_relative_information_score: 5689.8031, mean_absolute_error: 0.3523, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9462, predictive_accuracy: 0.9466, prior_entropy: 0.863, recall: 0.9466, relative_absolute_error: 0.8633, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.7937, scimark_benchmark: 1305.6847, usercpu_time_millis: 1270.329, usercpu_time_millis_testing: 4.225, usercpu_time_millis_training: 1266.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9581, kappa: 0.8972, kb_relative_information_score: 28344.3881, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9581, predictive_accuracy: 0.9582, prior_entropy: 0.863, recall: 0.9582, relative_absolute_error: 0.1884, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.3967, scimark_benchmark: 1275.5681, usercpu_time_millis: 3319.747, usercpu_time_millis_testing: 65.943, usercpu_time_millis_training: 3253.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9582, kappa: 0.8972, kb_relative_information_score: 28083.4769, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9581, predictive_accuracy: 0.9583, prior_entropy: 0.863, recall: 0.9583, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.4014, scimark_benchmark: 1251.1557, usercpu_time_millis: 1546.805, usercpu_time_millis_testing: 53.037, usercpu_time_millis_training: 1493.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9514, kappa: 0.8807, kb_relative_information_score: 28465.8141, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9513, predictive_accuracy: 0.9515, prior_entropy: 0.863, recall: 0.9515, relative_absolute_error: 0.1786, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.4246, scimark_benchmark: 1278.175, usercpu_time_millis: 12635.972, usercpu_time_millis_testing: 115.347, usercpu_time_millis_training: 12520.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9448, kappa: 0.8642, kb_relative_information_score: 26782.7492, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9447, predictive_accuracy: 0.945, prior_entropy: 0.863, recall: 0.945, relative_absolute_error: 0.235, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.4476, scimark_benchmark: 1263.1138, usercpu_time_millis: 10815.409, usercpu_time_millis_testing: 28.339, usercpu_time_millis_training: 10787.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9401, kappa: 0.8529, kb_relative_information_score: 27020.5678, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.94, predictive_accuracy: 0.9403, prior_entropy: 0.863, recall: 0.9403, relative_absolute_error: 0.2217, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4599, scimark_benchmark: 1302.2967, usercpu_time_millis: 3778.669, usercpu_time_millis_testing: 1.001, usercpu_time_millis_training: 3777.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9643, kappa: 0.9125, kb_relative_information_score: 30002.9009, mean_absolute_error: 0.0539, 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: 0.1321, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.366, scimark_benchmark: 1301.7661, usercpu_time_millis: 5563.813, usercpu_time_millis_testing: 15.829, usercpu_time_millis_training: 5547.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9445, kappa: 0.8627, kb_relative_information_score: 24118.6379, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9447, predictive_accuracy: 0.945, prior_entropy: 0.863, recall: 0.945, relative_absolute_error: 0.3385, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.4733, scimark_benchmark: 1276.2951, usercpu_time_millis: 10430.384, usercpu_time_millis_testing: 35.037, usercpu_time_millis_training: 10395.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9561, kappa: 0.8923, kb_relative_information_score: 28021.1983, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9561, predictive_accuracy: 0.9562, prior_entropy: 0.863, recall: 0.9562, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.407, scimark_benchmark: 1238.929, usercpu_time_millis: 509.861, usercpu_time_millis_testing: 15.552, usercpu_time_millis_training: 494.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.964, kappa: 0.9118, kb_relative_information_score: 29158.2238, mean_absolute_error: 0.0665, 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: 0.163, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.3736, scimark_benchmark: 1283.5493, usercpu_time_millis: 4838.145, usercpu_time_millis_testing: 28.301, usercpu_time_millis_training: 4809.844,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9533, kappa: 0.8847, kb_relative_information_score: 28667.2387, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9535, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.4155, scimark_benchmark: 1278.6339, usercpu_time_millis: 15824.462, usercpu_time_millis_testing: 86.239, usercpu_time_millis_training: 15738.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9428, kappa: 0.8589, kb_relative_information_score: 24911.1474, mean_absolute_error: 0.1255, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9428, predictive_accuracy: 0.9432, prior_entropy: 0.863, recall: 0.9432, relative_absolute_error: 0.3075, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4679, scimark_benchmark: 1325.7646, usercpu_time_millis: 7455.586, usercpu_time_millis_testing: 18.553, usercpu_time_millis_training: 7437.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9704, kappa: 0.9274, kb_relative_information_score: 30768.567, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9704, predictive_accuracy: 0.9704, prior_entropy: 0.863, recall: 0.9704, relative_absolute_error: 0.1102, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1487, root_relative_squared_error: 0.3292, scimark_benchmark: 1273.169, usercpu_time_millis: 8315.942, usercpu_time_millis_testing: 34.167, usercpu_time_millis_training: 8281.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9619, kappa: 0.9065, kb_relative_information_score: 28614.5115, mean_absolute_error: 0.074, 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: 0.1814, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3831, scimark_benchmark: 1305.5915, usercpu_time_millis: 2020.815, usercpu_time_millis_testing: 58.494, usercpu_time_millis_training: 1962.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9114, kappa: 0.7798, kb_relative_information_score: 17983.7394, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9118, predictive_accuracy: 0.9128, prior_entropy: 0.863, recall: 0.9128, relative_absolute_error: 0.5273, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.6087, scimark_benchmark: 1330.3947, usercpu_time_millis: 7877.994, usercpu_time_millis_testing: 12.23, usercpu_time_millis_training: 7865.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9439, kappa: 0.8622, kb_relative_information_score: 27236.0048, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9438, predictive_accuracy: 0.944, prior_entropy: 0.863, recall: 0.944, relative_absolute_error: 0.2169, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.4478, scimark_benchmark: 1306.8985, usercpu_time_millis: 1451.607, usercpu_time_millis_testing: 1.109, usercpu_time_millis_training: 1450.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9107, kappa: 0.7773, kb_relative_information_score: 19128.5726, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9117, predictive_accuracy: 0.9125, prior_entropy: 0.863, recall: 0.9125, relative_absolute_error: 0.489, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2671, root_relative_squared_error: 0.5912, scimark_benchmark: 1325.6269, usercpu_time_millis: 8173.235, usercpu_time_millis_testing: 23.838, usercpu_time_millis_training: 8149.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9652, kappa: 0.9146, kb_relative_information_score: 29124.7422, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9652, predictive_accuracy: 0.9653, prior_entropy: 0.863, recall: 0.9653, relative_absolute_error: 0.1655, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.3677, scimark_benchmark: 1265.0075, usercpu_time_millis: 6137.416, usercpu_time_millis_testing: 99.965, usercpu_time_millis_training: 6037.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9705, kappa: 0.9277, kb_relative_information_score: 30714.6286, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9705, predictive_accuracy: 0.9705, prior_entropy: 0.863, recall: 0.9705, relative_absolute_error: 0.1131, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.148, root_relative_squared_error: 0.3276, scimark_benchmark: 1279.8304, usercpu_time_millis: 5649.621, usercpu_time_millis_testing: 15.684, usercpu_time_millis_training: 5633.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9424, kappa: 0.8584, kb_relative_information_score: 26916.7423, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9423, predictive_accuracy: 0.9426, prior_entropy: 0.863, recall: 0.9426, relative_absolute_error: 0.2275, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.4556, scimark_benchmark: 1291.5853, usercpu_time_millis: 10510.814, usercpu_time_millis_testing: 0.967, usercpu_time_millis_training: 10509.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9673, kappa: 0.9198, kb_relative_information_score: 29581.8621, mean_absolute_error: 0.0618, 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: 0.1514, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3529, scimark_benchmark: 1272.9115, usercpu_time_millis: 5456.746, usercpu_time_millis_testing: 60.626, usercpu_time_millis_training: 5396.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9618, kappa: 0.9062, kb_relative_information_score: 29469.1165, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9617, predictive_accuracy: 0.9618, prior_entropy: 0.863, recall: 0.9618, relative_absolute_error: 0.1503, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.3734, scimark_benchmark: 1322.1249, usercpu_time_millis: 9363.567, usercpu_time_millis_testing: 33.471, usercpu_time_millis_training: 9330.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9472, kappa: 0.8705, kb_relative_information_score: 27980.4535, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9472, predictive_accuracy: 0.9473, prior_entropy: 0.863, recall: 0.9473, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.4341, scimark_benchmark: 1313.438, usercpu_time_millis: 9767.053, usercpu_time_millis_testing: 0.784, usercpu_time_millis_training: 9766.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9651, kappa: 0.9144, kb_relative_information_score: 29081.499, mean_absolute_error: 0.0686, 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: 0.168, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.3647, scimark_benchmark: 1256.3391, usercpu_time_millis: 2861.042, usercpu_time_millis_testing: 74.935, usercpu_time_millis_training: 2786.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9007, kappa: 0.7508, kb_relative_information_score: 18730.3233, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9039, predictive_accuracy: 0.9038, prior_entropy: 0.863, recall: 0.9038, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2769, root_relative_squared_error: 0.6131, scimark_benchmark: 1261.0957, usercpu_time_millis: 1085.136, usercpu_time_millis_testing: 1.035, usercpu_time_millis_training: 1084.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9608, kappa: 0.9039, kb_relative_information_score: 29465.54, mean_absolute_error: 0.0612, 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: 0.1499, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.3756, scimark_benchmark: 1306.6799, usercpu_time_millis: 2627.563, usercpu_time_millis_testing: 7.188, usercpu_time_millis_training: 2620.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9486, kappa: 0.8736, kb_relative_information_score: 27777.8304, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9485, predictive_accuracy: 0.9487, prior_entropy: 0.863, recall: 0.9487, relative_absolute_error: 0.2016, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.193, root_relative_squared_error: 0.4272, scimark_benchmark: 1309.9449, usercpu_time_millis: 1178.102, usercpu_time_millis_testing: 3.655, usercpu_time_millis_training: 1174.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9593, kappa: 0.9001, kb_relative_information_score: 28449.3243, mean_absolute_error: 0.0756, 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: 0.1852, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.178, root_relative_squared_error: 0.3941, scimark_benchmark: 1264.5601, usercpu_time_millis: 5245.368, usercpu_time_millis_testing: 65.919, usercpu_time_millis_training: 5179.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9661, kappa: 0.9167, kb_relative_information_score: 29367.7564, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.966, predictive_accuracy: 0.9661, prior_entropy: 0.863, recall: 0.9661, relative_absolute_error: 0.1574, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.3634, scimark_benchmark: 1276.605, usercpu_time_millis: 12073.871, usercpu_time_millis_testing: 82.812, usercpu_time_millis_training: 11991.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9646, kappa: 0.9131, kb_relative_information_score: 29309.6898, mean_absolute_error: 0.0647, 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: 0.1585, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.3685, scimark_benchmark: 1281.2345, usercpu_time_millis: 9809.437, usercpu_time_millis_testing: 40.544, usercpu_time_millis_training: 9768.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9474, kappa: 0.8708, kb_relative_information_score: 28054.7115, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9473, predictive_accuracy: 0.9475, prior_entropy: 0.863, recall: 0.9475, relative_absolute_error: 0.1895, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.4319, scimark_benchmark: 1271.3695, usercpu_time_millis: 13506.416, usercpu_time_millis_testing: 1.074, usercpu_time_millis_training: 13505.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9689, kappa: 0.9239, kb_relative_information_score: 30578.716, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9689, predictive_accuracy: 0.969, prior_entropy: 0.863, recall: 0.969, relative_absolute_error: 0.1161, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.151, root_relative_squared_error: 0.3344, scimark_benchmark: 1325.7124, usercpu_time_millis: 10451.676, usercpu_time_millis_testing: 28.832, usercpu_time_millis_training: 10422.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9616, kappa: 0.9056, kb_relative_information_score: 28784.3354, mean_absolute_error: 0.0713, 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: 0.1747, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.3857, scimark_benchmark: 1298.5556, usercpu_time_millis: 2473.277, usercpu_time_millis_testing: 16.646, usercpu_time_millis_training: 2456.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9323, kappa: 0.8332, kb_relative_information_score: 23301.8861, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9322, predictive_accuracy: 0.9327, prior_entropy: 0.863, recall: 0.9327, relative_absolute_error: 0.3482, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.5191, scimark_benchmark: 1304.7351, usercpu_time_millis: 3445.144, usercpu_time_millis_testing: 0.803, usercpu_time_millis_training: 3444.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9638, kappa: 0.9112, kb_relative_information_score: 28915.7023, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.9639, prior_entropy: 0.863, recall: 0.9639, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.3739, scimark_benchmark: 1275.3256, usercpu_time_millis: 1825.678, usercpu_time_millis_testing: 44.048, usercpu_time_millis_training: 1781.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9288, kappa: 0.8248, kb_relative_information_score: 23519.0739, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9287, predictive_accuracy: 0.9292, prior_entropy: 0.863, recall: 0.9292, relative_absolute_error: 0.3382, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.525, scimark_benchmark: 1307.1253, usercpu_time_millis: 4445.11, usercpu_time_millis_testing: 0.92, usercpu_time_millis_training: 4444.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9642, kappa: 0.9122, kb_relative_information_score: 29129.4965, mean_absolute_error: 0.0671, 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: 0.1644, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.3728, scimark_benchmark: 1285.1483, usercpu_time_millis: 4189.764, usercpu_time_millis_testing: 26.354, usercpu_time_millis_training: 4163.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9644, kappa: 0.9127, kb_relative_information_score: 29122.3982, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9644, predictive_accuracy: 0.9645, prior_entropy: 0.863, recall: 0.9645, relative_absolute_error: 0.1649, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.3716, scimark_benchmark: 1276.3837, usercpu_time_millis: 7811.957, usercpu_time_millis_testing: 61.391, usercpu_time_millis_training: 7750.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9369, kappa: 0.8448, kb_relative_information_score: 25352.0571, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9367, predictive_accuracy: 0.9371, prior_entropy: 0.863, recall: 0.9371, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.4823, scimark_benchmark: 1309.2524, usercpu_time_millis: 11400.99, usercpu_time_millis_testing: 1.019, usercpu_time_millis_training: 11399.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.95, kappa: 0.8766, kb_relative_information_score: 28351.2991, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.95, predictive_accuracy: 0.9503, prior_entropy: 0.863, recall: 0.9503, relative_absolute_error: 0.1837, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.4292, scimark_benchmark: 1276.2873, usercpu_time_millis: 12714.029, usercpu_time_millis_testing: 119.59, usercpu_time_millis_training: 12594.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9608, kappa: 0.9038, kb_relative_information_score: 28712.672, mean_absolute_error: 0.0722, 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: 0.177, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.3873, scimark_benchmark: 1265.82, usercpu_time_millis: 4613.465, usercpu_time_millis_testing: 34.409, usercpu_time_millis_training: 4579.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9041, kappa: 0.761, kb_relative_information_score: 18068.1729, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9049, predictive_accuracy: 0.906, prior_entropy: 0.863, recall: 0.906, relative_absolute_error: 0.5274, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.6089, scimark_benchmark: 1306.5565, usercpu_time_millis: 5311.441, usercpu_time_millis_testing: 10.376, usercpu_time_millis_training: 5301.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9604, kappa: 0.9027, kb_relative_information_score: 28630.4806, mean_absolute_error: 0.0733, 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: 0.1795, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.3887, scimark_benchmark: 1272.426, usercpu_time_millis: 8650.119, usercpu_time_millis_testing: 103.19, usercpu_time_millis_training: 8546.929,

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