OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 31592 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9302, kappa: 0.8262, kb_relative_information_score: 23741.0764, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9316, predictive_accuracy: 0.9316, prior_entropy: 0.863, recall: 0.9316, relative_absolute_error: 0.3376, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.5062, scimark_benchmark: 1863.066, usercpu_time_millis: 450.781, usercpu_time_millis_testing: 13.661, usercpu_time_millis_training: 437.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.946, kappa: 0.867, kb_relative_information_score: 26509.0065, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.946, predictive_accuracy: 0.9463, prior_entropy: 0.863, recall: 0.9463, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.449, scimark_benchmark: 1716.0319, usercpu_time_millis: 537.093, usercpu_time_millis_testing: 12.741, usercpu_time_millis_training: 524.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9158, kappa: 0.7881, kb_relative_information_score: 24509.8304, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9208, predictive_accuracy: 0.9187, prior_entropy: 0.863, recall: 0.9187, relative_absolute_error: 0.2964, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2351, root_relative_squared_error: 0.5205, scimark_benchmark: 1711.6103, usercpu_time_millis: 631.474, usercpu_time_millis_testing: 2.895, usercpu_time_millis_training: 628.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9521, kappa: 0.8825, kb_relative_information_score: 27513.8733, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9521, predictive_accuracy: 0.9522, prior_entropy: 0.863, recall: 0.9522, relative_absolute_error: 0.2119, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.4287, scimark_benchmark: 1714.6094, usercpu_time_millis: 447.534, usercpu_time_millis_testing: 3.016, usercpu_time_millis_training: 444.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9162, kappa: 0.7895, kb_relative_information_score: 23086.0842, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9205, predictive_accuracy: 0.9189, prior_entropy: 0.863, recall: 0.9189, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.5292, scimark_benchmark: 1737.1621, usercpu_time_millis: 467.386, usercpu_time_millis_testing: 6.635, usercpu_time_millis_training: 460.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9186, kappa: 0.7955, kb_relative_information_score: 22476.2264, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9228, predictive_accuracy: 0.9212, prior_entropy: 0.863, recall: 0.9212, relative_absolute_error: 0.3779, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2416, root_relative_squared_error: 0.535, scimark_benchmark: 1706.9339, usercpu_time_millis: 551.237, usercpu_time_millis_testing: 10.49, usercpu_time_millis_training: 540.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8684, kappa: 0.6801, kb_relative_information_score: 17233.6153, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8698, predictive_accuracy: 0.8674, prior_entropy: 0.863, recall: 0.8674, relative_absolute_error: 0.5091, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6867, scimark_benchmark: 1715.9762, usercpu_time_millis: 502.814, usercpu_time_millis_testing: 5.03, usercpu_time_millis_training: 497.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9319, kappa: 0.8308, kb_relative_information_score: 25180.6709, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9327, predictive_accuracy: 0.933, prior_entropy: 0.863, recall: 0.933, relative_absolute_error: 0.2743, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.5015, scimark_benchmark: 1767.8008, usercpu_time_millis: 586.695, usercpu_time_millis_testing: 2.31, usercpu_time_millis_training: 584.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9123, kappa: 0.7822, kb_relative_information_score: 22450.5764, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9125, predictive_accuracy: 0.9136, prior_entropy: 0.863, recall: 0.9136, relative_absolute_error: 0.3715, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2479, root_relative_squared_error: 0.5488, scimark_benchmark: 1759.5215, usercpu_time_millis: 1020.974, usercpu_time_millis_testing: 10.111, usercpu_time_millis_training: 1010.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.8603, kappa: 0.6621, kb_relative_information_score: 17248.1089, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.863, predictive_accuracy: 0.8586, prior_entropy: 0.863, recall: 0.8586, relative_absolute_error: 0.5052, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6933, scimark_benchmark: 1842.6464, usercpu_time_millis: 928.749, usercpu_time_millis_testing: 7.196, usercpu_time_millis_training: 921.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9282, kappa: 0.821, kb_relative_information_score: 25011.9677, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9297, predictive_accuracy: 0.9297, prior_entropy: 0.863, recall: 0.9297, relative_absolute_error: 0.2782, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.5081, scimark_benchmark: 1728.9274, usercpu_time_millis: 1751.054, usercpu_time_millis_testing: 5.967, usercpu_time_millis_training: 1745.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 16.0042, mean_absolute_error: 0.4079, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1720.8342, usercpu_time_millis: 5.773, usercpu_time_millis_testing: 0.433, usercpu_time_millis_training: 5.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9396, kappa: 0.8499, kb_relative_information_score: 22389.9302, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9405, predictive_accuracy: 0.9405, prior_entropy: 0.863, recall: 0.9405, relative_absolute_error: 0.3883, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2351, root_relative_squared_error: 0.5204, scimark_benchmark: 1832.8152, usercpu_time_millis: 17.533, usercpu_time_millis_testing: 0.759, usercpu_time_millis_training: 16.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -7.9721, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1716.0319, usercpu_time_millis: 35.687, usercpu_time_millis_testing: 5.56, usercpu_time_millis_training: 30.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.822, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1831.0557, usercpu_time_millis: 17.477, usercpu_time_millis_testing: 1.111, usercpu_time_millis_training: 16.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -19.8577, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1753.9036, usercpu_time_millis: 12.218, usercpu_time_millis_testing: 0.568, usercpu_time_millis_training: 11.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.8345, kappa: 0.5753, kb_relative_information_score: 11676.0226, mean_absolute_error: 0.2912, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8621, predictive_accuracy: 0.85, prior_entropy: 0.863, recall: 0.85, relative_absolute_error: 0.7137, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.7491, scimark_benchmark: 1699.119, usercpu_time_millis: 36.977, usercpu_time_millis_testing: 1.912, usercpu_time_millis_training: 35.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.937, kappa: 0.8437, kb_relative_information_score: 25071.089, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9375, predictive_accuracy: 0.9379, prior_entropy: 0.863, recall: 0.9379, relative_absolute_error: 0.2924, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.4816, scimark_benchmark: 1843.2259, usercpu_time_millis: 23.719, usercpu_time_millis_testing: 1.018, usercpu_time_millis_training: 22.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -2.9063, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1706.4307, usercpu_time_millis: 31.64, usercpu_time_millis_testing: 5.282, usercpu_time_millis_training: 26.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -5.9944, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1761.3589, usercpu_time_millis: 10.688, usercpu_time_millis_testing: 1.172, usercpu_time_millis_training: 9.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -6.2035, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1700.7748, usercpu_time_millis: 30.786, usercpu_time_millis_testing: 1.608, usercpu_time_millis_training: 29.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -1.1494, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1717.4383, usercpu_time_millis: 24.355, usercpu_time_millis_testing: 2.25, usercpu_time_millis_training: 22.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9507, kappa: 0.879, kb_relative_information_score: 27236.3681, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9506, predictive_accuracy: 0.9508, prior_entropy: 0.863, recall: 0.9508, relative_absolute_error: 0.2199, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.4346, scimark_benchmark: 1974.2697, usercpu_time_millis: 45.444, usercpu_time_millis_testing: 0.749, usercpu_time_millis_training: 44.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: 5.5083, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1839.7911, usercpu_time_millis: 7.841, usercpu_time_millis_testing: 0.869, usercpu_time_millis_training: 6.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -5.2261, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1722.1978, usercpu_time_millis: 13.229, usercpu_time_millis_testing: 0.67, usercpu_time_millis_training: 12.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.8673, kappa: 0.6743, kb_relative_information_score: 15482.0379, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8671, predictive_accuracy: 0.8676, prior_entropy: 0.863, recall: 0.8676, relative_absolute_error: 0.5801, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.686, scimark_benchmark: 1726.9813, usercpu_time_millis: 56.969, usercpu_time_millis_testing: 1.842, usercpu_time_millis_training: 55.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.8715, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1700.4747, usercpu_time_millis: 41.321, usercpu_time_millis_testing: 6.699, usercpu_time_millis_training: 34.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9571, kappa: 0.8944, kb_relative_information_score: 28170.7123, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.957, predictive_accuracy: 0.9572, prior_entropy: 0.863, recall: 0.9572, relative_absolute_error: 0.1934, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.4036, scimark_benchmark: 1729.6284, usercpu_time_millis: 46.845, usercpu_time_millis_testing: 1.423, usercpu_time_millis_training: 45.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.8589, kappa: 0.6565, kb_relative_information_score: 15599.5123, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.86, predictive_accuracy: 0.8581, prior_entropy: 0.863, recall: 0.8581, relative_absolute_error: 0.5733, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.7382, scimark_benchmark: 1724.947, usercpu_time_millis: 43.847, usercpu_time_millis_testing: 0.987, usercpu_time_millis_training: 42.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.871, kappa: 0.6851, kb_relative_information_score: 17815.788, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8716, predictive_accuracy: 0.8704, prior_entropy: 0.863, recall: 0.8704, relative_absolute_error: 0.4989, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.6603, scimark_benchmark: 1763.9147, usercpu_time_millis: 96.327, usercpu_time_millis_testing: 1.6, usercpu_time_millis_training: 94.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.4099, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1710.7856, usercpu_time_millis: 99.425, usercpu_time_millis_testing: 8.262, usercpu_time_millis_training: 91.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -9.293, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1727.8941, usercpu_time_millis: 13.038, usercpu_time_millis_testing: 1.463, usercpu_time_millis_training: 11.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.868, kappa: 0.6782, kb_relative_information_score: 17453.0208, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8688, predictive_accuracy: 0.8673, prior_entropy: 0.863, recall: 0.8673, relative_absolute_error: 0.5062, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.6792, scimark_benchmark: 1724.5339, usercpu_time_millis: 93.962, usercpu_time_millis_testing: 1.685, usercpu_time_millis_training: 92.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 2.0759, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1761.0023, usercpu_time_millis: 17.108, usercpu_time_millis_testing: 1.186, usercpu_time_millis_training: 15.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.2947, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1750.7866, usercpu_time_millis: 50.56, usercpu_time_millis_testing: 6.558, usercpu_time_millis_training: 44.002,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9422, kappa: 0.8574, kb_relative_information_score: 26297.4846, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9421, predictive_accuracy: 0.9425, prior_entropy: 0.863, recall: 0.9425, relative_absolute_error: 0.2469, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.462, scimark_benchmark: 1717.7792, usercpu_time_millis: 252.597, usercpu_time_millis_testing: 3.134, usercpu_time_millis_training: 249.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9566, kappa: 0.8935, kb_relative_information_score: 28927.1252, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9566, predictive_accuracy: 0.9567, prior_entropy: 0.863, recall: 0.9567, relative_absolute_error: 0.1646, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3989, scimark_benchmark: 1714.2829, usercpu_time_millis: 214.02, usercpu_time_millis_testing: 0.915, usercpu_time_millis_training: 213.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9222, kappa: 0.8051, kb_relative_information_score: 23765.2891, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9254, predictive_accuracy: 0.9244, prior_entropy: 0.863, recall: 0.9244, relative_absolute_error: 0.3339, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.5132, scimark_benchmark: 1772.962, usercpu_time_millis: 280.607, usercpu_time_millis_testing: 7.871, usercpu_time_millis_training: 272.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9499, kappa: 0.8768, kb_relative_information_score: 26758.3079, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9499, predictive_accuracy: 0.9502, prior_entropy: 0.863, recall: 0.9502, relative_absolute_error: 0.2377, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.4388, scimark_benchmark: 1716.0308, usercpu_time_millis: 389.507, usercpu_time_millis_testing: 9.629, usercpu_time_millis_training: 379.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9325, kappa: 0.8329, kb_relative_information_score: 25693.4192, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9327, predictive_accuracy: 0.9333, prior_entropy: 0.863, recall: 0.9333, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.222, root_relative_squared_error: 0.4914, scimark_benchmark: 1880.6098, usercpu_time_millis: 276.29, usercpu_time_millis_testing: 0.865, usercpu_time_millis_training: 275.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9358, kappa: 0.841, kb_relative_information_score: 25341.2892, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9362, predictive_accuracy: 0.9366, prior_entropy: 0.863, recall: 0.9366, relative_absolute_error: 0.2793, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.484, scimark_benchmark: 1792.395, usercpu_time_millis: 396.688, usercpu_time_millis_testing: 9.679, usercpu_time_millis_training: 387.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.8667, kappa: 0.6751, kb_relative_information_score: 17198.097, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8676, predictive_accuracy: 0.866, prior_entropy: 0.863, recall: 0.866, relative_absolute_error: 0.5125, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.686, scimark_benchmark: 1710.8453, usercpu_time_millis: 363.297, usercpu_time_millis_testing: 2.947, usercpu_time_millis_training: 360.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.8646, kappa: 0.6723, kb_relative_information_score: 17393.1172, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8671, predictive_accuracy: 0.8631, prior_entropy: 0.863, recall: 0.8631, relative_absolute_error: 0.5028, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3104, root_relative_squared_error: 0.6871, scimark_benchmark: 1843.3605, usercpu_time_millis: 1160.434, usercpu_time_millis_testing: 6.425, usercpu_time_millis_training: 1154.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.8596, kappa: 0.6605, kb_relative_information_score: 17218.071, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8624, predictive_accuracy: 0.8579, prior_entropy: 0.863, recall: 0.8579, relative_absolute_error: 0.5063, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6934, scimark_benchmark: 1733.7613, usercpu_time_millis: 1211.059, usercpu_time_millis_testing: 9.532, usercpu_time_millis_training: 1201.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9183, kappa: 0.795, kb_relative_information_score: 24665.1476, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9224, predictive_accuracy: 0.9209, prior_entropy: 0.863, recall: 0.9209, relative_absolute_error: 0.2899, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.5178, scimark_benchmark: 1737.4923, usercpu_time_millis: 1213.474, usercpu_time_millis_testing: 6.655, usercpu_time_millis_training: 1206.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9153, kappa: 0.7868, kb_relative_information_score: 24362.7684, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9208, predictive_accuracy: 0.9184, prior_entropy: 0.863, recall: 0.9184, relative_absolute_error: 0.3016, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.5254, scimark_benchmark: 1879.9417, usercpu_time_millis: 1563.203, usercpu_time_millis_testing: 8.592, usercpu_time_millis_training: 1554.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9337, kappa: 0.8355, kb_relative_information_score: 25312.9919, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9343, predictive_accuracy: 0.9347, prior_entropy: 0.863, recall: 0.9347, relative_absolute_error: 0.2757, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.4931, scimark_benchmark: 1811.3655, usercpu_time_millis: 1210.242, usercpu_time_millis_testing: 6.904, usercpu_time_millis_training: 1203.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9677, kappa: 0.9207, kb_relative_information_score: 29635.2352, mean_absolute_error: 0.0608, 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: 0.149, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.3558, scimark_benchmark: 1844.4224, usercpu_time_millis: 2187.364, usercpu_time_millis_testing: 7.964, usercpu_time_millis_training: 2179.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9525, kappa: 0.8835, kb_relative_information_score: 27914.8398, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9524, predictive_accuracy: 0.9525, prior_entropy: 0.863, recall: 0.9525, relative_absolute_error: 0.1981, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.4192, scimark_benchmark: 1846.3769, usercpu_time_millis: 3704.619, usercpu_time_millis_testing: 13.644, usercpu_time_millis_training: 3690.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9552, kappa: 0.8901, kb_relative_information_score: 28057.0748, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9552, predictive_accuracy: 0.9552, prior_entropy: 0.863, recall: 0.9552, relative_absolute_error: 0.1944, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.4126, scimark_benchmark: 1738.7691, usercpu_time_millis: 3363.416, usercpu_time_millis_testing: 15.578, usercpu_time_millis_training: 3347.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9525, kappa: 0.8835, kb_relative_information_score: 27578.3133, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9524, predictive_accuracy: 0.9525, prior_entropy: 0.863, recall: 0.9525, relative_absolute_error: 0.2091, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.4266, scimark_benchmark: 1731.0556, usercpu_time_millis: 3672.467, usercpu_time_millis_testing: 17.212, usercpu_time_millis_training: 3655.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, f_measure: 0.8584, kappa: 0.6525, kb_relative_information_score: 15485.5681, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8582, predictive_accuracy: 0.8585, prior_entropy: 0.863, recall: 0.8585, relative_absolute_error: 0.5776, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.7378, scimark_benchmark: 1327.4739, usercpu_time_millis: 98.19, usercpu_time_millis_testing: 1.529, usercpu_time_millis_training: 96.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9154, kappa: 0.7872, kb_relative_information_score: 24453.26, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9207, predictive_accuracy: 0.9184, prior_entropy: 0.863, recall: 0.9184, relative_absolute_error: 0.2974, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.5242, scimark_benchmark: 1347.8712, usercpu_time_millis: 366.533, usercpu_time_millis_testing: 1.071, usercpu_time_millis_training: 365.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.6471, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1360.3301, usercpu_time_millis: 95.345, usercpu_time_millis_testing: 7.529, usercpu_time_millis_training: 87.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9649, kappa: 0.9138, kb_relative_information_score: 29425.2511, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9648, predictive_accuracy: 0.965, prior_entropy: 0.863, recall: 0.965, relative_absolute_error: 0.1549, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.3648, scimark_benchmark: 1359.457, usercpu_time_millis: 10150.301, usercpu_time_millis_testing: 26.797, usercpu_time_millis_training: 10123.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9616, kappa: 0.9058, kb_relative_information_score: 28756.21, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9616, predictive_accuracy: 0.9617, prior_entropy: 0.863, recall: 0.9617, relative_absolute_error: 0.1762, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.3828, scimark_benchmark: 1354.7129, usercpu_time_millis: 1804.799, usercpu_time_millis_testing: 19.34, usercpu_time_millis_training: 1785.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8614, kappa: 0.6636, kb_relative_information_score: 16933.0631, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8632, predictive_accuracy: 0.8602, prior_entropy: 0.863, recall: 0.8602, relative_absolute_error: 0.521, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.6967, scimark_benchmark: 1359.4609, usercpu_time_millis: 514.281, usercpu_time_millis_testing: 4.732, usercpu_time_millis_training: 509.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9621, kappa: 0.9066, kb_relative_information_score: 27883.6798, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9621, predictive_accuracy: 0.9623, prior_entropy: 0.863, recall: 0.9623, relative_absolute_error: 0.211, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.3871, scimark_benchmark: 1348.7777, usercpu_time_millis: 891.634, usercpu_time_millis_testing: 34.728, usercpu_time_millis_training: 856.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9536, kappa: 0.8861, kb_relative_information_score: 27708.9808, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9535, predictive_accuracy: 0.9536, prior_entropy: 0.863, recall: 0.9536, relative_absolute_error: 0.2058, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4218, scimark_benchmark: 1360.2337, usercpu_time_millis: 3770.451, usercpu_time_millis_testing: 16.18, usercpu_time_millis_training: 3754.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9655, kappa: 0.9152, kb_relative_information_score: 29502.1274, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 0.863, recall: 0.9655, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.3639, scimark_benchmark: 1353.3812, usercpu_time_millis: 2507.199, usercpu_time_millis_testing: 6.593, usercpu_time_millis_training: 2500.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9576, kappa: 0.8957, kb_relative_information_score: 28237.0015, mean_absolute_error: 0.0776, 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: 0.1901, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.4021, scimark_benchmark: 1352.411, usercpu_time_millis: 23.977, usercpu_time_millis_testing: 0.549, usercpu_time_millis_training: 23.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9683, kappa: 0.9223, kb_relative_information_score: 29958.244, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9683, predictive_accuracy: 0.9684, prior_entropy: 0.863, recall: 0.9684, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.3484, scimark_benchmark: 1353.3051, usercpu_time_millis: 3323.066, usercpu_time_millis_testing: 8.86, usercpu_time_millis_training: 3314.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9608, kappa: 0.9039, kb_relative_information_score: 28885.778, mean_absolute_error: 0.0691, 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: 0.1694, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.3879, scimark_benchmark: 1238.4226, usercpu_time_millis: 644.682, usercpu_time_millis_testing: 1.551, usercpu_time_millis_training: 643.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.8694, kappa: 0.6815, kb_relative_information_score: 17381.0653, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8702, predictive_accuracy: 0.8688, prior_entropy: 0.863, recall: 0.8688, relative_absolute_error: 0.5102, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3044, root_relative_squared_error: 0.6738, scimark_benchmark: 1259.4062, usercpu_time_millis: 446.16, usercpu_time_millis_testing: 4.209, usercpu_time_millis_training: 441.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9444, kappa: 0.863, kb_relative_information_score: 26611.0766, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9443, predictive_accuracy: 0.9446, prior_entropy: 0.863, recall: 0.9446, relative_absolute_error: 0.2376, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.4535, scimark_benchmark: 1167.1215, usercpu_time_millis: 3977.859, usercpu_time_millis_testing: 22.721, usercpu_time_millis_training: 3955.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9698, kappa: 0.9258, kb_relative_information_score: 30219.8277, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9697, predictive_accuracy: 0.9698, prior_entropy: 0.863, recall: 0.9698, relative_absolute_error: 0.1303, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.3358, scimark_benchmark: 1273.8379, usercpu_time_millis: 2189.224, usercpu_time_millis_testing: 15.608, usercpu_time_millis_training: 2173.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9625, kappa: 0.9078, kb_relative_information_score: 28742.0092, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9624, predictive_accuracy: 0.9626, prior_entropy: 0.863, recall: 0.9626, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3829, scimark_benchmark: 1285.5058, usercpu_time_millis: 331.244, usercpu_time_millis_testing: 3.873, usercpu_time_millis_training: 327.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9207, kappa: 0.8011, kb_relative_information_score: 24355.3125, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9246, predictive_accuracy: 0.9232, prior_entropy: 0.863, recall: 0.9232, relative_absolute_error: 0.3102, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.5094, scimark_benchmark: 1257.2733, usercpu_time_millis: 1647.939, usercpu_time_millis_testing: 18.907, usercpu_time_millis_training: 1629.032,

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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