OpenML
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 57199 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1841.2811, usercpu_time_millis: 5.424, usercpu_time_millis_testing: 0.964, usercpu_time_millis_training: 4.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1856.0093, usercpu_time_millis: 2.653, usercpu_time_millis_testing: 0.438, usercpu_time_millis_training: 2.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1852.9988, usercpu_time_millis: 4.255, usercpu_time_millis_testing: 0.778, usercpu_time_millis_training: 3.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1857.1082, usercpu_time_millis: 2.728, usercpu_time_millis_testing: 0.467, usercpu_time_millis_training: 2.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.7147, kappa: 0.4323, kb_relative_information_score: 352.5216, mean_absolute_error: 0.4462, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7207, predictive_accuracy: 0.7162, prior_entropy: 1, recall: 0.7162, relative_absolute_error: 0.8924, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4558, root_relative_squared_error: 0.9117, scimark_benchmark: 1852.9259, usercpu_time_millis: 30.494, usercpu_time_millis_testing: 0.869, usercpu_time_millis_training: 29.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.6177, kappa: 0.2354, kb_relative_information_score: 231.9888, mean_absolute_error: 0.4647, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6177, predictive_accuracy: 0.6177, prior_entropy: 1, recall: 0.6177, relative_absolute_error: 0.9294, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4752, root_relative_squared_error: 0.9505, scimark_benchmark: 1852.9988, usercpu_time_millis: 17.786, usercpu_time_millis_testing: 0.614, usercpu_time_millis_training: 17.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.8331, kappa: 0.6662, kb_relative_information_score: 1067.7139, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8332, predictive_accuracy: 0.8331, prior_entropy: 1, recall: 0.8331, relative_absolute_error: 0.6351, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.368, root_relative_squared_error: 0.7359, scimark_benchmark: 1856.6531, usercpu_time_millis: 49.57, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 49.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7354, f_measure: 0.6535, kappa: 0.3085, kb_relative_information_score: 228.4156, mean_absolute_error: 0.4661, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6556, predictive_accuracy: 0.6542, prior_entropy: 1, recall: 0.6542, relative_absolute_error: 0.9321, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.9437, scimark_benchmark: 1854.4951, usercpu_time_millis: 32.083, usercpu_time_millis_testing: 1.124, usercpu_time_millis_training: 30.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8311, kappa: 0.6623, kb_relative_information_score: 972.6788, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8312, predictive_accuracy: 0.8312, prior_entropy: 1, recall: 0.8312, relative_absolute_error: 0.672, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7567, scimark_benchmark: 1850.9136, usercpu_time_millis: 43.243, usercpu_time_millis_testing: 0.321, usercpu_time_millis_training: 42.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.6154, kappa: 0.2308, kb_relative_information_score: 242.3511, mean_absolute_error: 0.4629, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6154, predictive_accuracy: 0.6154, prior_entropy: 1, recall: 0.6154, relative_absolute_error: 0.9259, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.475, root_relative_squared_error: 0.95, scimark_benchmark: 1848.5692, usercpu_time_millis: 20.191, usercpu_time_millis_testing: 0.577, usercpu_time_millis_training: 19.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.7594, kappa: 0.52, kb_relative_information_score: 628.1286, mean_absolute_error: 0.3982, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7627, predictive_accuracy: 0.76, prior_entropy: 1, recall: 0.76, relative_absolute_error: 0.7964, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.8462, scimark_benchmark: 1857.1082, usercpu_time_millis: 39.12, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 38.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7488, f_measure: 0.6687, kappa: 0.3446, kb_relative_information_score: 461.419, mean_absolute_error: 0.4241, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6801, predictive_accuracy: 0.6723, prior_entropy: 1, recall: 0.6723, relative_absolute_error: 0.8482, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9058, scimark_benchmark: 1845.3986, usercpu_time_millis: 38.255, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 37.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6666, f_measure: 0.6152, kappa: 0.2308, kb_relative_information_score: 193.9108, mean_absolute_error: 0.4709, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6156, predictive_accuracy: 0.6154, prior_entropy: 1, recall: 0.6154, relative_absolute_error: 0.9419, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.483, root_relative_squared_error: 0.966, scimark_benchmark: 1857.6942, usercpu_time_millis: 47.223, usercpu_time_millis_testing: 0.798, usercpu_time_millis_training: 46.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6686, f_measure: 0.6184, kappa: 0.2377, kb_relative_information_score: 169.8833, mean_absolute_error: 0.4749, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6194, predictive_accuracy: 0.6188, prior_entropy: 1, recall: 0.6188, relative_absolute_error: 0.9497, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.9664, scimark_benchmark: 1839.7313, usercpu_time_millis: 29.751, usercpu_time_millis_testing: 0.71, usercpu_time_millis_training: 29.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7267, f_measure: 0.6438, kappa: 0.2915, kb_relative_information_score: 272.4287, mean_absolute_error: 0.4586, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.649, predictive_accuracy: 0.6458, prior_entropy: 1, recall: 0.6458, relative_absolute_error: 0.9172, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4679, root_relative_squared_error: 0.9358, scimark_benchmark: 1849.8662, usercpu_time_millis: 60.462, usercpu_time_millis_testing: 1.296, usercpu_time_millis_training: 59.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.7792, kappa: 0.5585, kb_relative_information_score: 813.9519, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7793, predictive_accuracy: 0.7792, prior_entropy: 1, recall: 0.7792, relative_absolute_error: 0.7244, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8078, scimark_benchmark: 1849.9303, usercpu_time_millis: 72.745, usercpu_time_millis_testing: 0.341, usercpu_time_millis_training: 72.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, f_measure: 0.6787, kappa: 0.36, kb_relative_information_score: 345.8793, mean_absolute_error: 0.4461, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6829, predictive_accuracy: 0.68, prior_entropy: 1, recall: 0.68, relative_absolute_error: 0.8922, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4618, root_relative_squared_error: 0.9237, scimark_benchmark: 1857.0384, usercpu_time_millis: 9.3, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 8.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6531, f_measure: 0.6155, kappa: 0.2315, kb_relative_information_score: 166.9532, mean_absolute_error: 0.4754, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6161, predictive_accuracy: 0.6158, prior_entropy: 1, recall: 0.6158, relative_absolute_error: 0.9507, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4842, root_relative_squared_error: 0.9684, scimark_benchmark: 1839.8608, usercpu_time_millis: 43.995, usercpu_time_millis_testing: 0.88, usercpu_time_millis_training: 43.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, f_measure: 0.6929, kappa: 0.3892, kb_relative_information_score: 375.2142, mean_absolute_error: 0.4414, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.699, predictive_accuracy: 0.6946, prior_entropy: 1, recall: 0.6946, relative_absolute_error: 0.8828, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4566, root_relative_squared_error: 0.9133, scimark_benchmark: 1856.1949, usercpu_time_millis: 77.951, usercpu_time_millis_testing: 1.166, usercpu_time_millis_training: 76.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, f_measure: 0.6165, kappa: 0.2338, kb_relative_information_score: 183.6512, mean_absolute_error: 0.4727, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6174, predictive_accuracy: 0.6169, prior_entropy: 1, recall: 0.6169, relative_absolute_error: 0.9454, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4851, root_relative_squared_error: 0.9701, scimark_benchmark: 1141.227, usercpu_time_millis: 68.713, usercpu_time_millis_testing: 1.121, usercpu_time_millis_training: 67.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6538, f_measure: 0.6144, kappa: 0.2292, kb_relative_information_score: 182.9022, mean_absolute_error: 0.4727, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6148, predictive_accuracy: 0.6146, prior_entropy: 1, recall: 0.6146, relative_absolute_error: 0.9454, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4835, root_relative_squared_error: 0.9671, scimark_benchmark: 1845.9978, usercpu_time_millis: 39.919, usercpu_time_millis_testing: 0.815, usercpu_time_millis_training: 39.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6466, f_measure: 0.6161, kappa: 0.2331, kb_relative_information_score: 187.8105, mean_absolute_error: 0.472, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6171, predictive_accuracy: 0.6165, prior_entropy: 1, recall: 0.6165, relative_absolute_error: 0.9441, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4856, root_relative_squared_error: 0.9711, scimark_benchmark: 1806.7215, usercpu_time_millis: 85.693, usercpu_time_millis_testing: 0.909, usercpu_time_millis_training: 84.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.7745, kappa: 0.5492, kb_relative_information_score: 776.8904, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.775, predictive_accuracy: 0.7746, prior_entropy: 1, recall: 0.7746, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8139, scimark_benchmark: 1836.6789, usercpu_time_millis: 46.068, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 45.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8627, kappa: 0.7254, kb_relative_information_score: 1168.7977, mean_absolute_error: 0.3004, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8627, predictive_accuracy: 0.8627, prior_entropy: 1, recall: 0.8627, relative_absolute_error: 0.6008, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.6948, scimark_benchmark: 1856.6531, usercpu_time_millis: 92.444, usercpu_time_millis_testing: 0.54, usercpu_time_millis_training: 91.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.6158, kappa: 0.2315, kb_relative_information_score: 211.8794, mean_absolute_error: 0.468, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6158, predictive_accuracy: 0.6158, prior_entropy: 1, recall: 0.6158, relative_absolute_error: 0.936, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4777, root_relative_squared_error: 0.9555, scimark_benchmark: 1862.82, usercpu_time_millis: 24.584, usercpu_time_millis_testing: 0.577, usercpu_time_millis_training: 24.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.7888, kappa: 0.5777, kb_relative_information_score: 847.7014, mean_absolute_error: 0.3564, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7889, predictive_accuracy: 0.7888, prior_entropy: 1, recall: 0.7888, relative_absolute_error: 0.7127, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.399, root_relative_squared_error: 0.7979, scimark_benchmark: 1857.2361, usercpu_time_millis: 86.17, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 85.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8017, kappa: 0.6038, kb_relative_information_score: 765.9768, mean_absolute_error: 0.3744, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8033, predictive_accuracy: 0.8019, prior_entropy: 1, recall: 0.8019, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8077, scimark_benchmark: 1853.9121, usercpu_time_millis: 71.334, usercpu_time_millis_testing: 0.434, usercpu_time_millis_training: 70.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7406, kappa: 0.4823, kb_relative_information_score: 680.2378, mean_absolute_error: 0.3867, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7431, predictive_accuracy: 0.7412, prior_entropy: 1, recall: 0.7412, relative_absolute_error: 0.7733, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.841, scimark_benchmark: 1857.0384, usercpu_time_millis: 74.662, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 74.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7373, f_measure: 0.6698, kappa: 0.3469, kb_relative_information_score: 424.0389, mean_absolute_error: 0.4317, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6815, predictive_accuracy: 0.6735, prior_entropy: 1, recall: 0.6735, relative_absolute_error: 0.8634, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9159, scimark_benchmark: 1852.5406, usercpu_time_millis: 82.218, usercpu_time_millis_testing: 0.574, usercpu_time_millis_training: 81.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7447, f_measure: 0.6905, kappa: 0.3838, kb_relative_information_score: 388.6459, mean_absolute_error: 0.4386, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6955, predictive_accuracy: 0.6919, prior_entropy: 1, recall: 0.6919, relative_absolute_error: 0.8772, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.457, root_relative_squared_error: 0.914, scimark_benchmark: 1853.3841, usercpu_time_millis: 81.706, usercpu_time_millis_testing: 0.85, usercpu_time_millis_training: 80.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, f_measure: 0.6649, kappa: 0.3338, kb_relative_information_score: 497.1942, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6711, predictive_accuracy: 0.6669, prior_entropy: 1, recall: 0.6669, relative_absolute_error: 0.8307, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4516, root_relative_squared_error: 0.9032, scimark_benchmark: 1853.3841, usercpu_time_millis: 88.507, usercpu_time_millis_testing: 0.449, usercpu_time_millis_training: 88.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.732, f_measure: 0.682, kappa: 0.3669, kb_relative_information_score: 363.5695, mean_absolute_error: 0.443, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6869, predictive_accuracy: 0.6835, prior_entropy: 1, recall: 0.6835, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.461, root_relative_squared_error: 0.922, scimark_benchmark: 1828.2308, usercpu_time_millis: 62.382, usercpu_time_millis_testing: 0.757, usercpu_time_millis_training: 61.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.7138, kappa: 0.43, kb_relative_information_score: 314.6138, mean_absolute_error: 0.4528, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7185, predictive_accuracy: 0.715, prior_entropy: 1, recall: 0.715, relative_absolute_error: 0.9055, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9194, scimark_benchmark: 1828.686, usercpu_time_millis: 65.218, usercpu_time_millis_testing: 1.815, usercpu_time_millis_training: 63.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, f_measure: 0.6948, kappa: 0.3931, kb_relative_information_score: 444.7975, mean_absolute_error: 0.4283, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7012, predictive_accuracy: 0.6965, prior_entropy: 1, recall: 0.6965, relative_absolute_error: 0.8566, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4515, root_relative_squared_error: 0.903, scimark_benchmark: 1846.9558, usercpu_time_millis: 101.464, usercpu_time_millis_testing: 0.688, usercpu_time_millis_training: 100.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.7717, kappa: 0.5446, kb_relative_information_score: 717.7062, mean_absolute_error: 0.3816, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7751, predictive_accuracy: 0.7723, prior_entropy: 1, recall: 0.7723, relative_absolute_error: 0.7631, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.8275, scimark_benchmark: 1850.2875, usercpu_time_millis: 95.886, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 95.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.7409, kappa: 0.4846, kb_relative_information_score: 511.5072, mean_absolute_error: 0.4192, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7478, predictive_accuracy: 0.7423, prior_entropy: 1, recall: 0.7423, relative_absolute_error: 0.8384, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.8723, scimark_benchmark: 1839.2203, usercpu_time_millis: 77.736, usercpu_time_millis_testing: 1.074, usercpu_time_millis_training: 76.662,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6628, f_measure: 0.6168, kappa: 0.2338, kb_relative_information_score: 190.8812, mean_absolute_error: 0.4715, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6171, predictive_accuracy: 0.6169, prior_entropy: 1, recall: 0.6169, relative_absolute_error: 0.9429, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4835, root_relative_squared_error: 0.9671, scimark_benchmark: 1854.9533, usercpu_time_millis: 79.871, usercpu_time_millis_testing: 1.025, usercpu_time_millis_training: 78.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7884, f_measure: 0.7184, kappa: 0.4408, kb_relative_information_score: 553.4285, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7267, predictive_accuracy: 0.7204, prior_entropy: 1, recall: 0.7204, relative_absolute_error: 0.8153, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8772, scimark_benchmark: 1843.7637, usercpu_time_millis: 72.976, usercpu_time_millis_testing: 0.486, usercpu_time_millis_training: 72.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7732, f_measure: 0.706, kappa: 0.4146, kb_relative_information_score: 334.2824, mean_absolute_error: 0.4491, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.711, predictive_accuracy: 0.7073, prior_entropy: 1, recall: 0.7073, relative_absolute_error: 0.8982, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9174, scimark_benchmark: 1849.8294, usercpu_time_millis: 49.328, usercpu_time_millis_testing: 1.424, usercpu_time_millis_training: 47.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.8246, kappa: 0.6492, kb_relative_information_score: 932.1678, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.825, predictive_accuracy: 0.8246, prior_entropy: 1, recall: 0.8246, relative_absolute_error: 0.6877, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.765, scimark_benchmark: 1852.4008, usercpu_time_millis: 97.516, usercpu_time_millis_testing: 0.383, usercpu_time_millis_training: 97.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7011, f_measure: 0.6322, kappa: 0.2692, kb_relative_information_score: 299.7702, mean_absolute_error: 0.4534, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6382, predictive_accuracy: 0.6346, prior_entropy: 1, recall: 0.6346, relative_absolute_error: 0.9067, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9393, scimark_benchmark: 1854.4282, usercpu_time_millis: 56.069, usercpu_time_millis_testing: 0.524, usercpu_time_millis_training: 55.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6533, f_measure: 0.6133, kappa: 0.2269, kb_relative_information_score: 182.646, mean_absolute_error: 0.4727, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6136, predictive_accuracy: 0.6135, prior_entropy: 1, recall: 0.6135, relative_absolute_error: 0.9454, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4833, root_relative_squared_error: 0.9666, scimark_benchmark: 1138.7581, usercpu_time_millis: 110.559, usercpu_time_millis_testing: 1.667, usercpu_time_millis_training: 108.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7416, f_measure: 0.6763, kappa: 0.3569, kb_relative_information_score: 339.6909, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6834, predictive_accuracy: 0.6785, prior_entropy: 1, recall: 0.6785, relative_absolute_error: 0.8945, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4608, root_relative_squared_error: 0.9215, scimark_benchmark: 1855.4813, usercpu_time_millis: 61.696, usercpu_time_millis_testing: 1.179, usercpu_time_millis_training: 60.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7578, kappa: 0.5177, kb_relative_information_score: 543.123, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7635, predictive_accuracy: 0.7588, prior_entropy: 1, recall: 0.7588, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8601, scimark_benchmark: 1835.621, usercpu_time_millis: 83.042, usercpu_time_millis_testing: 1.208, usercpu_time_millis_training: 81.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1845.7222, usercpu_time_millis: 2.133, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 1.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1256.6778, usercpu_time_millis: 7.198, usercpu_time_millis_testing: 1.37, usercpu_time_millis_training: 5.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7325, f_measure: 0.6688, kappa: 0.3385, kb_relative_information_score: 353.7792, mean_absolute_error: 0.4443, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.67, predictive_accuracy: 0.6692, prior_entropy: 1, recall: 0.6692, relative_absolute_error: 0.8886, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9223, scimark_benchmark: 1169.819, usercpu_time_millis: 16.057, usercpu_time_millis_testing: 0.659, usercpu_time_millis_training: 15.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6695, f_measure: 0.6129, kappa: 0.2262, kb_relative_information_score: 190.0622, mean_absolute_error: 0.4715, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6133, predictive_accuracy: 0.6131, prior_entropy: 1, recall: 0.6131, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4818, root_relative_squared_error: 0.9636, scimark_benchmark: 1856.6531, usercpu_time_millis: 2.954, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 2.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.6615, kappa: 0.3246, kb_relative_information_score: 218.46, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6638, predictive_accuracy: 0.6623, prior_entropy: 1, recall: 0.6623, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9455, scimark_benchmark: 1822.0837, usercpu_time_millis: 28.194, usercpu_time_millis_testing: 1.297, usercpu_time_millis_training: 26.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1861.2508, usercpu_time_millis: 3.764, usercpu_time_millis_testing: 0.593, usercpu_time_millis_training: 3.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1857.1082, usercpu_time_millis: 3.765, usercpu_time_millis_testing: 0.713, usercpu_time_millis_training: 3.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1857.5664, usercpu_time_millis: 2.406, usercpu_time_millis_testing: 0.413, usercpu_time_millis_training: 1.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.7559, kappa: 0.5131, kb_relative_information_score: 610.7167, mean_absolute_error: 0.4016, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7593, predictive_accuracy: 0.7565, prior_entropy: 1, recall: 0.7565, relative_absolute_error: 0.8032, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.8481, scimark_benchmark: 1852.9259, usercpu_time_millis: 38.663, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 38.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.723, kappa: 0.4492, kb_relative_information_score: 432.1249, mean_absolute_error: 0.4323, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.73, predictive_accuracy: 0.7246, prior_entropy: 1, recall: 0.7246, relative_absolute_error: 0.8646, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.895, scimark_benchmark: 1846.5018, usercpu_time_millis: 13.23, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 12.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7371, f_measure: 0.6743, kappa: 0.3515, kb_relative_information_score: 351.7214, mean_absolute_error: 0.445, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6789, predictive_accuracy: 0.6758, prior_entropy: 1, recall: 0.6758, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4608, root_relative_squared_error: 0.9217, scimark_benchmark: 1853.9121, usercpu_time_millis: 30.952, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 30.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1854.7717, usercpu_time_millis: 3.813, usercpu_time_millis_testing: 0.619, usercpu_time_millis_training: 3.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1845.5326, usercpu_time_millis: 2.779, usercpu_time_millis_testing: 0.469, usercpu_time_millis_training: 2.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7554, f_measure: 0.6855, kappa: 0.3738, kb_relative_information_score: 493.9307, mean_absolute_error: 0.4174, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6903, predictive_accuracy: 0.6869, prior_entropy: 1, recall: 0.6869, relative_absolute_error: 0.8349, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.8984, scimark_benchmark: 1850.3885, usercpu_time_millis: 42.653, usercpu_time_millis_testing: 0.465, usercpu_time_millis_training: 42.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.6784, kappa: 0.3592, kb_relative_information_score: 359.5238, mean_absolute_error: 0.4437, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6823, predictive_accuracy: 0.6796, prior_entropy: 1, recall: 0.6796, relative_absolute_error: 0.8873, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.462, root_relative_squared_error: 0.9239, scimark_benchmark: 1852.9259, usercpu_time_millis: 13.634, usercpu_time_millis_testing: 0.419, usercpu_time_millis_training: 13.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7748, f_measure: 0.7015, kappa: 0.4069, kb_relative_information_score: 374.0357, mean_absolute_error: 0.4421, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.709, predictive_accuracy: 0.7035, prior_entropy: 1, recall: 0.7035, relative_absolute_error: 0.8843, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9089, scimark_benchmark: 1836.52, usercpu_time_millis: 39.982, usercpu_time_millis_testing: 0.812, usercpu_time_millis_training: 39.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.618, kappa: 0.2362, kb_relative_information_score: 265.9703, mean_absolute_error: 0.459, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6181, predictive_accuracy: 0.6181, prior_entropy: 1, recall: 0.6181, relative_absolute_error: 0.918, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9465, scimark_benchmark: 1861.2508, usercpu_time_millis: 14.27, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 13.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.6155, kappa: 0.2315, kb_relative_information_score: 184.593, mean_absolute_error: 0.4725, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6161, predictive_accuracy: 0.6158, prior_entropy: 1, recall: 0.6158, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4834, root_relative_squared_error: 0.9668, scimark_benchmark: 1821.5318, usercpu_time_millis: 44.849, usercpu_time_millis_testing: 0.847, usercpu_time_millis_training: 44.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.8211, kappa: 0.6423, kb_relative_information_score: 903.9146, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8217, predictive_accuracy: 0.8212, prior_entropy: 1, recall: 0.8212, relative_absolute_error: 0.6991, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.7692, scimark_benchmark: 1856.6531, usercpu_time_millis: 23.802, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 23.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, f_measure: 0.6167, kappa: 0.2338, kb_relative_information_score: 194.8771, mean_absolute_error: 0.4708, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6172, predictive_accuracy: 0.6169, prior_entropy: 1, recall: 0.6169, relative_absolute_error: 0.9416, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4816, root_relative_squared_error: 0.9632, scimark_benchmark: 1859.1356, usercpu_time_millis: 13.9, usercpu_time_millis_testing: 0.51, usercpu_time_millis_training: 13.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6638, f_measure: 0.6034, kappa: 0.2077, kb_relative_information_score: 80.3094, mean_absolute_error: 0.4887, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6044, predictive_accuracy: 0.6038, prior_entropy: 1, recall: 0.6038, relative_absolute_error: 0.9774, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9803, scimark_benchmark: 1859.6666, usercpu_time_millis: 12.392, usercpu_time_millis_testing: 0.915, usercpu_time_millis_training: 11.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6567, f_measure: 0.611, kappa: 0.2223, kb_relative_information_score: 147.5641, mean_absolute_error: 0.4784, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6113, predictive_accuracy: 0.6112, prior_entropy: 1, recall: 0.6112, relative_absolute_error: 0.9567, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4847, root_relative_squared_error: 0.9694, scimark_benchmark: 1853.454, usercpu_time_millis: 24.782, usercpu_time_millis_testing: 0.997, usercpu_time_millis_training: 23.785,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs