OpenML
Supervised Classification on spambase

Supervised Classification on spambase

Task 145979 Supervised Classification spambase 58350 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9429, kappa: 0.8801, kb_relative_information_score: 3597.746, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.943, predictive_accuracy: 0.9431, prior_entropy: 0.9674, recall: 0.9431, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.214, root_relative_squared_error: 0.438, scimark_benchmark: 1729.797, usercpu_time_millis: 19.922, usercpu_time_millis_testing: 0.571, usercpu_time_millis_training: 19.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9424, kappa: 0.8791, kb_relative_information_score: 3628.3708, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9426, predictive_accuracy: 0.9426, prior_entropy: 0.9674, recall: 0.9426, relative_absolute_error: 0.2332, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.4371, scimark_benchmark: 1731.6389, usercpu_time_millis: 19.682, usercpu_time_millis_testing: 0.588, usercpu_time_millis_training: 19.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.9297, kappa: 0.8522, kb_relative_information_score: 3295.7339, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9301, predictive_accuracy: 0.93, prior_entropy: 0.9674, recall: 0.93, relative_absolute_error: 0.3151, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2439, root_relative_squared_error: 0.4991, scimark_benchmark: 1754.4094, usercpu_time_millis: 18.427, usercpu_time_millis_testing: 0.82, usercpu_time_millis_training: 17.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8086, kappa: 0.5954, kb_relative_information_score: 1770.5968, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8117, predictive_accuracy: 0.812, prior_entropy: 0.9674, recall: 0.812, relative_absolute_error: 0.6591, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.7458, scimark_benchmark: 1736.9559, usercpu_time_millis: 13.114, usercpu_time_millis_testing: 0.891, usercpu_time_millis_training: 12.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9361, kappa: 0.8657, kb_relative_information_score: 3557.4075, mean_absolute_error: 0.1192, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9364, predictive_accuracy: 0.9363, prior_entropy: 0.9674, recall: 0.9363, relative_absolute_error: 0.2497, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.4548, scimark_benchmark: 1774.1188, usercpu_time_millis: 13.123, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 12.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9316, kappa: 0.8562, kb_relative_information_score: 3281.2606, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9321, predictive_accuracy: 0.932, prior_entropy: 0.9674, recall: 0.932, relative_absolute_error: 0.3195, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.4988, scimark_benchmark: 1728.8693, usercpu_time_millis: 11.426, usercpu_time_millis_testing: 0.789, usercpu_time_millis_training: 10.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9466, kappa: 0.8877, kb_relative_information_score: 3483.141, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9468, predictive_accuracy: 0.9468, prior_entropy: 0.9674, recall: 0.9468, relative_absolute_error: 0.2744, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.4402, scimark_benchmark: 1731.5821, usercpu_time_millis: 9.079, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 8.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.9098, kappa: 0.8099, kb_relative_information_score: 2144.0983, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9115, predictive_accuracy: 0.9107, prior_entropy: 0.9674, recall: 0.9107, relative_absolute_error: 0.596, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.6575, scimark_benchmark: 1728.8693, usercpu_time_millis: 6.847, usercpu_time_millis_testing: 0.887, usercpu_time_millis_training: 5.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.8995, kappa: 0.7885, kb_relative_information_score: 2229.413, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9003, predictive_accuracy: 0.9002, prior_entropy: 0.9674, recall: 0.9002, relative_absolute_error: 0.5712, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.6539, scimark_benchmark: 1735.1051, usercpu_time_millis: 5.985, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 5.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.4573, kb_relative_information_score: -0.009, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1831.4174, usercpu_time_millis: 2.071, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 1.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9296, kappa: 0.8518, kb_relative_information_score: 3429.8036, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9304, predictive_accuracy: 0.93, prior_entropy: 0.9674, recall: 0.93, relative_absolute_error: 0.279, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.237, root_relative_squared_error: 0.485, scimark_benchmark: 1857.1082, usercpu_time_millis: 157.93, usercpu_time_millis_testing: 1.847, usercpu_time_millis_training: 156.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9442, kappa: 0.8829, kb_relative_information_score: 3696.7329, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9443, predictive_accuracy: 0.9444, prior_entropy: 0.9674, recall: 0.9444, relative_absolute_error: 0.2155, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.4308, scimark_benchmark: 1852.859, usercpu_time_millis: 114.739, usercpu_time_millis_testing: 1.612, usercpu_time_millis_training: 113.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.923, kappa: 0.8378, kb_relative_information_score: 3218.8165, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9239, predictive_accuracy: 0.9235, prior_entropy: 0.9674, recall: 0.9235, relative_absolute_error: 0.3313, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.5222, scimark_benchmark: 1844.2371, usercpu_time_millis: 75.733, usercpu_time_millis_testing: 1.745, usercpu_time_millis_training: 73.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9451, kappa: 0.8848, kb_relative_information_score: 3729.2631, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9452, predictive_accuracy: 0.9452, prior_entropy: 0.9674, recall: 0.9452, relative_absolute_error: 0.2069, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.4268, scimark_benchmark: 1844.2676, usercpu_time_millis: 71.901, usercpu_time_millis_testing: 0.84, usercpu_time_millis_training: 71.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.8965, kappa: 0.7835, kb_relative_information_score: 2776.7445, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8967, predictive_accuracy: 0.8963, prior_entropy: 0.9674, recall: 0.8963, relative_absolute_error: 0.4293, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.6082, scimark_benchmark: 1857.1082, usercpu_time_millis: 64.407, usercpu_time_millis_testing: 0.849, usercpu_time_millis_training: 63.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.932, kappa: 0.857, kb_relative_information_score: 3458.5535, mean_absolute_error: 0.1301, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9327, predictive_accuracy: 0.9324, prior_entropy: 0.9674, recall: 0.9324, relative_absolute_error: 0.2725, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.4785, scimark_benchmark: 1847.3406, usercpu_time_millis: 61.898, usercpu_time_millis_testing: 0.826, usercpu_time_millis_training: 61.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.9211, kappa: 0.8338, kb_relative_information_score: 3063.1785, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9224, predictive_accuracy: 0.9218, prior_entropy: 0.9674, recall: 0.9218, relative_absolute_error: 0.3656, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.5518, scimark_benchmark: 1851.3986, usercpu_time_millis: 41.142, usercpu_time_millis_testing: 0.692, usercpu_time_millis_training: 40.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.8729, kappa: 0.7363, kb_relative_information_score: 2513.5887, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8762, predictive_accuracy: 0.872, prior_entropy: 0.9674, recall: 0.872, relative_absolute_error: 0.4899, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6516, scimark_benchmark: 1848.7925, usercpu_time_millis: 30.954, usercpu_time_millis_testing: 0.588, usercpu_time_millis_training: 30.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9013, kappa: 0.7931, kb_relative_information_score: 2649.2673, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9012, predictive_accuracy: 0.9013, prior_entropy: 0.9674, recall: 0.9013, relative_absolute_error: 0.4663, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2959, root_relative_squared_error: 0.6055, scimark_benchmark: 1754.9623, usercpu_time_millis: 28.219, usercpu_time_millis_testing: 0.943, usercpu_time_millis_training: 27.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.938, kappa: 0.8697, kb_relative_information_score: 3512.9591, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9384, predictive_accuracy: 0.9383, prior_entropy: 0.9674, recall: 0.9383, relative_absolute_error: 0.2619, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.4578, scimark_benchmark: 1853.5297, usercpu_time_millis: 23.423, usercpu_time_millis_testing: 0.832, usercpu_time_millis_training: 22.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9366, kappa: 0.8668, kb_relative_information_score: 3484.6993, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9372, predictive_accuracy: 0.937, prior_entropy: 0.9674, recall: 0.937, relative_absolute_error: 0.2682, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.4634, scimark_benchmark: 1852.1788, usercpu_time_millis: 21.7, usercpu_time_millis_testing: 0.492, usercpu_time_millis_training: 21.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9481, kappa: 0.8912, kb_relative_information_score: 3715.8945, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9482, predictive_accuracy: 0.9483, prior_entropy: 0.9674, recall: 0.9483, relative_absolute_error: 0.2116, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.4235, scimark_benchmark: 1848.388, usercpu_time_millis: 16.56, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 16.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9345, kappa: 0.8622, kb_relative_information_score: 3471.8612, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.935, predictive_accuracy: 0.9348, prior_entropy: 0.9674, recall: 0.9348, relative_absolute_error: 0.2707, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.4715, scimark_benchmark: 1853.454, usercpu_time_millis: 5.243, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 4.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4573, kb_relative_information_score: -0.583, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1750.4918, usercpu_time_millis: 4.164, usercpu_time_millis_testing: 0.718, usercpu_time_millis_training: 3.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9414, kappa: 0.8769, kb_relative_information_score: 3622.8124, mean_absolute_error: 0.1117, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9415, predictive_accuracy: 0.9415, prior_entropy: 0.9674, recall: 0.9415, relative_absolute_error: 0.2339, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.4432, scimark_benchmark: 1860.7926, usercpu_time_millis: 8.126, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 7.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9472, kappa: 0.8892, kb_relative_information_score: 3613.4788, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9474, predictive_accuracy: 0.9474, prior_entropy: 0.9674, recall: 0.9474, relative_absolute_error: 0.2404, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.4232, scimark_benchmark: 1854.4431, usercpu_time_millis: 4.036, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 3.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.8929, kappa: 0.7768, kb_relative_information_score: 2588.2352, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8941, predictive_accuracy: 0.8924, prior_entropy: 0.9674, recall: 0.8924, relative_absolute_error: 0.4771, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.304, root_relative_squared_error: 0.6221, scimark_benchmark: 1846.1643, usercpu_time_millis: 9.696, usercpu_time_millis_testing: 0.315, usercpu_time_millis_training: 9.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9332, kappa: 0.8596, kb_relative_information_score: 3495.7074, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9335, predictive_accuracy: 0.9335, prior_entropy: 0.9674, recall: 0.9335, relative_absolute_error: 0.2647, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.4661, scimark_benchmark: 1850.2875, usercpu_time_millis: 4.998, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 4.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.4573, kb_relative_information_score: 0.1614, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1850.2875, usercpu_time_millis: 1.706, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 1.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9488, kappa: 0.8926, kb_relative_information_score: 3738.0982, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9489, predictive_accuracy: 0.9489, prior_entropy: 0.9674, recall: 0.9489, relative_absolute_error: 0.206, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.4183, scimark_benchmark: 1853.9121, usercpu_time_millis: 221.196, usercpu_time_millis_testing: 3.035, usercpu_time_millis_training: 218.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9403, kappa: 0.8746, kb_relative_information_score: 3678.4111, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9404, predictive_accuracy: 0.9404, prior_entropy: 0.9674, recall: 0.9404, relative_absolute_error: 0.217, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.4436, scimark_benchmark: 1832.5979, usercpu_time_millis: 127.824, usercpu_time_millis_testing: 1.072, usercpu_time_millis_training: 126.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.944, kappa: 0.8824, kb_relative_information_score: 3679.2119, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9441, predictive_accuracy: 0.9441, prior_entropy: 0.9674, recall: 0.9441, relative_absolute_error: 0.2199, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.4329, scimark_benchmark: 1833.8299, usercpu_time_millis: 74.763, usercpu_time_millis_testing: 0.916, usercpu_time_millis_training: 73.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9206, kappa: 0.8328, kb_relative_information_score: 3226.551, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9214, predictive_accuracy: 0.9211, prior_entropy: 0.9674, recall: 0.9211, relative_absolute_error: 0.3274, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5258, scimark_benchmark: 1851.8567, usercpu_time_millis: 69.879, usercpu_time_millis_testing: 0.9, usercpu_time_millis_training: 68.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9455, kappa: 0.8854, kb_relative_information_score: 3541.8512, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9458, predictive_accuracy: 0.9457, prior_entropy: 0.9674, recall: 0.9457, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.4345, scimark_benchmark: 1820.7429, usercpu_time_millis: 60.515, usercpu_time_millis_testing: 2.944, usercpu_time_millis_training: 57.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9475, kappa: 0.8897, kb_relative_information_score: 3674.6224, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9476, predictive_accuracy: 0.9476, prior_entropy: 0.9674, recall: 0.9476, relative_absolute_error: 0.2237, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.4183, scimark_benchmark: 1851.8567, usercpu_time_millis: 49.647, usercpu_time_millis_testing: 1.348, usercpu_time_millis_training: 48.299,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9404, kappa: 0.8749, kb_relative_information_score: 3649.5025, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9407, predictive_accuracy: 0.9407, prior_entropy: 0.9674, recall: 0.9407, relative_absolute_error: 0.2267, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4399, scimark_benchmark: 1855.0232, usercpu_time_millis: 159.254, usercpu_time_millis_testing: 2.631, usercpu_time_millis_training: 156.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9285, kappa: 0.8495, kb_relative_information_score: 3437.7695, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9293, predictive_accuracy: 0.9289, prior_entropy: 0.9674, recall: 0.9289, relative_absolute_error: 0.2763, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.4848, scimark_benchmark: 1853.454, usercpu_time_millis: 151.96, usercpu_time_millis_testing: 1.238, usercpu_time_millis_training: 150.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9218, kappa: 0.8353, kb_relative_information_score: 2993.4281, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.923, predictive_accuracy: 0.9224, prior_entropy: 0.9674, recall: 0.9224, relative_absolute_error: 0.3848, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2709, root_relative_squared_error: 0.5545, scimark_benchmark: 1854.9533, usercpu_time_millis: 109.031, usercpu_time_millis_testing: 1.678, usercpu_time_millis_training: 107.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9373, kappa: 0.8681, kb_relative_information_score: 3536.6917, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9379, predictive_accuracy: 0.9376, prior_entropy: 0.9674, recall: 0.9376, relative_absolute_error: 0.2542, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.4588, scimark_benchmark: 1852.4278, usercpu_time_millis: 97.665, usercpu_time_millis_testing: 1.726, usercpu_time_millis_training: 95.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9475, kappa: 0.8899, kb_relative_information_score: 3776.4724, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9476, predictive_accuracy: 0.9476, prior_entropy: 0.9674, recall: 0.9476, relative_absolute_error: 0.1947, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.4206, scimark_benchmark: 1847.8034, usercpu_time_millis: 82.34, usercpu_time_millis_testing: 0.855, usercpu_time_millis_training: 81.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9327, kappa: 0.8584, kb_relative_information_score: 3434.4343, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9333, predictive_accuracy: 0.9331, prior_entropy: 0.9674, recall: 0.9331, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.4794, scimark_benchmark: 1858.6775, usercpu_time_millis: 83.296, usercpu_time_millis_testing: 2.111, usercpu_time_millis_training: 81.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9212, kappa: 0.8341, kb_relative_information_score: 3172.9612, mean_absolute_error: 0.1633, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9222, predictive_accuracy: 0.9218, prior_entropy: 0.9674, recall: 0.9218, relative_absolute_error: 0.342, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.5262, scimark_benchmark: 1846.8201, usercpu_time_millis: 66.495, usercpu_time_millis_testing: 1.405, usercpu_time_millis_training: 65.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9409, kappa: 0.876, kb_relative_information_score: 3626.4068, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9411, predictive_accuracy: 0.9411, prior_entropy: 0.9674, recall: 0.9411, relative_absolute_error: 0.2327, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.4432, scimark_benchmark: 1842.9066, usercpu_time_millis: 49.481, usercpu_time_millis_testing: 0.712, usercpu_time_millis_training: 48.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9444, kappa: 0.8831, kb_relative_information_score: 3516.5988, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9447, predictive_accuracy: 0.9446, prior_entropy: 0.9674, recall: 0.9446, relative_absolute_error: 0.2653, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.4373, scimark_benchmark: 1844.1673, usercpu_time_millis: 31.808, usercpu_time_millis_testing: 2.209, usercpu_time_millis_training: 29.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.854, kappa: 0.6936, kb_relative_information_score: 2204.7444, mean_absolute_error: 0.2698, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8538, predictive_accuracy: 0.8544, prior_entropy: 0.9674, recall: 0.8544, relative_absolute_error: 0.5649, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.6823, scimark_benchmark: 1849.8294, usercpu_time_millis: 18.815, usercpu_time_millis_testing: 1.104, usercpu_time_millis_training: 17.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9353, kappa: 0.864, kb_relative_information_score: 3425.1514, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9359, predictive_accuracy: 0.9357, prior_entropy: 0.9674, recall: 0.9357, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.4737, scimark_benchmark: 1854.9533, usercpu_time_millis: 20.852, usercpu_time_millis_testing: 0.612, usercpu_time_millis_training: 20.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9365, kappa: 0.8665, kb_relative_information_score: 3551.0281, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9369, predictive_accuracy: 0.9368, prior_entropy: 0.9674, recall: 0.9368, relative_absolute_error: 0.2513, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.4551, scimark_benchmark: 1841.2811, usercpu_time_millis: 18.225, usercpu_time_millis_testing: 0.406, usercpu_time_millis_training: 17.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9501, kappa: 0.8953, kb_relative_information_score: 3673.4725, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9502, predictive_accuracy: 0.9502, prior_entropy: 0.9674, recall: 0.9502, relative_absolute_error: 0.2257, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.4109, scimark_benchmark: 1843.1261, usercpu_time_millis: 15.619, usercpu_time_millis_testing: 0.6, usercpu_time_millis_training: 15.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.8893, kappa: 0.7659, kb_relative_information_score: 1894.3714, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8961, predictive_accuracy: 0.8915, prior_entropy: 0.9674, recall: 0.8915, relative_absolute_error: 0.6505, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3423, root_relative_squared_error: 0.7004, scimark_benchmark: 1852.9988, usercpu_time_millis: 10.278, usercpu_time_millis_testing: 0.912, usercpu_time_millis_training: 9.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9431, kappa: 0.8803, kb_relative_information_score: 3461.7444, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9434, predictive_accuracy: 0.9433, prior_entropy: 0.9674, recall: 0.9433, relative_absolute_error: 0.2788, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.449, scimark_benchmark: 1847.2233, usercpu_time_millis: 6.695, usercpu_time_millis_testing: 0.51, usercpu_time_millis_training: 6.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9192, kappa: 0.8297, kb_relative_information_score: 3043.1137, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9204, predictive_accuracy: 0.9198, prior_entropy: 0.9674, recall: 0.9198, relative_absolute_error: 0.3713, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.5515, scimark_benchmark: 1848.3343, usercpu_time_millis: 6.281, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 6.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8524, kappa: 0.6875, kb_relative_information_score: 1582.9209, mean_absolute_error: 0.3416, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8729, predictive_accuracy: 0.8583, prior_entropy: 0.9674, recall: 0.8583, relative_absolute_error: 0.7153, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.7532, scimark_benchmark: 1842.3843, usercpu_time_millis: 7.728, usercpu_time_millis_testing: 0.832, usercpu_time_millis_training: 6.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9239, kappa: 0.8398, kb_relative_information_score: 3065.2986, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9247, predictive_accuracy: 0.9244, prior_entropy: 0.9674, recall: 0.9244, relative_absolute_error: 0.3703, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.5333, scimark_benchmark: 1847.2753, usercpu_time_millis: 3.844, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 3.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4573, kb_relative_information_score: -0.3549, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1851.8567, usercpu_time_millis: 1.659, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 1.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.9039, kappa: 0.7973, kb_relative_information_score: 2898.1639, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9056, predictive_accuracy: 0.9048, prior_entropy: 0.9674, recall: 0.9048, relative_absolute_error: 0.4023, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.5804, scimark_benchmark: 1849.3742, usercpu_time_millis: 0.472, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9475, kappa: 0.8899, kb_relative_information_score: 3780.6099, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9476, predictive_accuracy: 0.9476, prior_entropy: 0.9674, recall: 0.9476, relative_absolute_error: 0.1944, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.4158, scimark_benchmark: 1720.5466, usercpu_time_millis: 156.779, usercpu_time_millis_testing: 1.608, usercpu_time_millis_training: 155.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.934, kappa: 0.8611, kb_relative_information_score: 3450.6423, mean_absolute_error: 0.1316, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9347, predictive_accuracy: 0.9344, prior_entropy: 0.9674, recall: 0.9344, relative_absolute_error: 0.2756, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.4726, scimark_benchmark: 1800.9256, usercpu_time_millis: 150.085, usercpu_time_millis_testing: 2.339, usercpu_time_millis_training: 147.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8723, kappa: 0.7317, kb_relative_information_score: 2758.0846, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8723, predictive_accuracy: 0.8729, prior_entropy: 0.9674, recall: 0.8729, relative_absolute_error: 0.425, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3101, root_relative_squared_error: 0.6345, scimark_benchmark: 1697.8079, usercpu_time_millis: 136.145, usercpu_time_millis_testing: 1.587, usercpu_time_millis_training: 134.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.9218, kappa: 0.8353, kb_relative_information_score: 3043.4283, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.923, predictive_accuracy: 0.9224, prior_entropy: 0.9674, recall: 0.9224, relative_absolute_error: 0.3713, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.5527, scimark_benchmark: 1758.9278, usercpu_time_millis: 116.471, usercpu_time_millis_testing: 2.469, usercpu_time_millis_training: 114.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9468, kappa: 0.8885, kb_relative_information_score: 3728.6132, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9469, predictive_accuracy: 0.947, prior_entropy: 0.9674, recall: 0.947, relative_absolute_error: 0.2077, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4239, scimark_benchmark: 1702.0486, usercpu_time_millis: 87.668, usercpu_time_millis_testing: 0.851, usercpu_time_millis_training: 86.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9285, kappa: 0.8495, kb_relative_information_score: 3430.0331, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9293, predictive_accuracy: 0.9289, prior_entropy: 0.9674, recall: 0.9289, relative_absolute_error: 0.2786, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.4848, scimark_benchmark: 1752.6399, usercpu_time_millis: 78.344, usercpu_time_millis_testing: 1.076, usercpu_time_millis_training: 77.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.944, kappa: 0.8824, kb_relative_information_score: 3600.9737, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9441, predictive_accuracy: 0.9441, prior_entropy: 0.9674, recall: 0.9441, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.212, root_relative_squared_error: 0.4338, scimark_benchmark: 1730.7855, usercpu_time_millis: 68.007, usercpu_time_millis_testing: 2.354, usercpu_time_millis_training: 65.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9417, kappa: 0.8779, kb_relative_information_score: 3826.0865, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9417, predictive_accuracy: 0.9418, prior_entropy: 0.9674, recall: 0.9418, relative_absolute_error: 0.178, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.4316, scimark_benchmark: 1839.8042, usercpu_time_millis: 54.219, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 53.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9209, kappa: 0.8334, kb_relative_information_score: 3120.1024, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9221, predictive_accuracy: 0.9215, prior_entropy: 0.9674, recall: 0.9215, relative_absolute_error: 0.3538, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.5393, scimark_benchmark: 1807.254, usercpu_time_millis: 51.995, usercpu_time_millis_testing: 0.967, usercpu_time_millis_training: 51.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9485, kappa: 0.892, kb_relative_information_score: 3571.5973, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9487, predictive_accuracy: 0.9487, prior_entropy: 0.9674, recall: 0.9487, relative_absolute_error: 0.2522, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4251, scimark_benchmark: 1751.454, usercpu_time_millis: 22.387, usercpu_time_millis_testing: 0.802, usercpu_time_millis_training: 21.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9303, kappa: 0.8534, kb_relative_information_score: 3434.8036, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9309, predictive_accuracy: 0.9307, prior_entropy: 0.9674, recall: 0.9307, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.4814, scimark_benchmark: 1837.7486, usercpu_time_millis: 19.912, usercpu_time_millis_testing: 0.596, usercpu_time_millis_training: 19.316,

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