OpenML
Supervised Classification on Internet-Advertisements

Supervised Classification on Internet-Advertisements

Task 6566 Supervised Classification Internet-Advertisements 25422 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9708, kappa: 0.8762, kb_relative_information_score: 2526.1997, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 0.5848, recall: 0.9713, relative_absolute_error: 0.2024, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.154, root_relative_squared_error: 0.4438, scimark_benchmark: 1840.7617, usercpu_time_millis: 1152.049, usercpu_time_millis_testing: 1.081, usercpu_time_millis_training: 1150.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9586, kappa: 0.8281, kb_relative_information_score: 2279.9498, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9586, predictive_accuracy: 0.9585, prior_entropy: 0.5848, recall: 0.9585, relative_absolute_error: 0.2851, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.5214, scimark_benchmark: 1846.2416, usercpu_time_millis: 1019.081, usercpu_time_millis_testing: 1.282, usercpu_time_millis_training: 1017.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.959, kappa: 0.8304, kb_relative_information_score: 2263.756, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9592, predictive_accuracy: 0.9588, prior_entropy: 0.5848, recall: 0.9588, relative_absolute_error: 0.2897, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.5021, scimark_benchmark: 1834.565, usercpu_time_millis: 732.356, usercpu_time_millis_testing: 1.323, usercpu_time_millis_training: 731.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9715, kappa: 0.8795, kb_relative_information_score: 2347.7408, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9715, predictive_accuracy: 0.9719, prior_entropy: 0.5848, recall: 0.9719, relative_absolute_error: 0.2657, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.4675, scimark_benchmark: 2124.4723, usercpu_time_millis: 276.632, usercpu_time_millis_testing: 1.089, usercpu_time_millis_training: 275.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9691, kappa: 0.8698, kb_relative_information_score: 2392.1529, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.969, predictive_accuracy: 0.9695, prior_entropy: 0.5848, recall: 0.9695, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.164, root_relative_squared_error: 0.4727, scimark_benchmark: 1835.0844, usercpu_time_millis: 210.866, usercpu_time_millis_testing: 0.673, usercpu_time_millis_training: 210.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9635, kappa: 0.8455, kb_relative_information_score: 2404.0156, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9635, predictive_accuracy: 0.9643, prior_entropy: 0.5848, recall: 0.9643, relative_absolute_error: 0.2443, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.4823, scimark_benchmark: 1838.622, usercpu_time_millis: 47.501, usercpu_time_millis_testing: 0.534, usercpu_time_millis_training: 46.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.97, kappa: 0.8716, kb_relative_information_score: 2387.4834, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9709, predictive_accuracy: 0.971, prior_entropy: 0.5848, recall: 0.971, relative_absolute_error: 0.2783, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.4645, scimark_benchmark: 1836.2249, usercpu_time_millis: 39.562, usercpu_time_millis_testing: 0.967, usercpu_time_millis_training: 38.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9708, kappa: 0.8762, kb_relative_information_score: 2578.2929, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 0.5848, recall: 0.9713, relative_absolute_error: 0.1867, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.4416, scimark_benchmark: 1158.6683, usercpu_time_millis: 9023.085, usercpu_time_millis_testing: 4.214, usercpu_time_millis_training: 9018.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.9726, kappa: 0.8853, kb_relative_information_score: 2697.28, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9725, predictive_accuracy: 0.9729, prior_entropy: 0.5848, recall: 0.9729, relative_absolute_error: 0.1425, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.4451, scimark_benchmark: 1843.2259, usercpu_time_millis: 6297.397, usercpu_time_millis_testing: 2.063, usercpu_time_millis_training: 6295.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9585, kappa: 0.8285, kb_relative_information_score: 2304.4109, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9588, predictive_accuracy: 0.9582, prior_entropy: 0.5848, recall: 0.9582, relative_absolute_error: 0.2679, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.5148, scimark_benchmark: 1740.1598, usercpu_time_millis: 4973.552, usercpu_time_millis_testing: 2.263, usercpu_time_millis_training: 4971.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9599, kappa: 0.834, kb_relative_information_score: 2285.0121, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9601, predictive_accuracy: 0.9597, prior_entropy: 0.5848, recall: 0.9597, relative_absolute_error: 0.2811, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.5233, scimark_benchmark: 1245.6333, usercpu_time_millis: 4198.145, usercpu_time_millis_testing: 2.52, usercpu_time_millis_training: 4195.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9643, kappa: 0.8519, kb_relative_information_score: 2344.884, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9644, predictive_accuracy: 0.9643, prior_entropy: 0.5848, recall: 0.9643, relative_absolute_error: 0.2526, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.4836, scimark_benchmark: 1177.4338, usercpu_time_millis: 4103.056, usercpu_time_millis_testing: 3.848, usercpu_time_millis_training: 4099.208,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9559, kappa: 0.8159, kb_relative_information_score: 2276.8165, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9557, predictive_accuracy: 0.9561, prior_entropy: 0.5848, recall: 0.9561, relative_absolute_error: 0.2878, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.5237, scimark_benchmark: 1848.388, usercpu_time_millis: 1623.85, usercpu_time_millis_testing: 1.733, usercpu_time_millis_training: 1622.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9765, kappa: 0.9014, kb_relative_information_score: 2702.1954, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9765, predictive_accuracy: 0.9768, prior_entropy: 0.5848, recall: 0.9768, relative_absolute_error: 0.1514, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1392, root_relative_squared_error: 0.4012, scimark_benchmark: 1850.4852, usercpu_time_millis: 516.05, usercpu_time_millis_testing: 1.217, usercpu_time_millis_training: 514.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9759, kappa: 0.899, kb_relative_information_score: 2690.3294, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9759, predictive_accuracy: 0.9762, prior_entropy: 0.5848, recall: 0.9762, relative_absolute_error: 0.1497, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.143, root_relative_squared_error: 0.4121, scimark_benchmark: 1846.3046, usercpu_time_millis: 208.489, usercpu_time_millis_testing: 0.582, usercpu_time_millis_training: 207.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9683, kappa: 0.8634, kb_relative_information_score: 2212.229, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9696, predictive_accuracy: 0.9695, prior_entropy: 0.5848, recall: 0.9695, relative_absolute_error: 0.3388, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.4886, scimark_benchmark: 1836.6789, usercpu_time_millis: 182.393, usercpu_time_millis_testing: 3.491, usercpu_time_millis_training: 178.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9644, kappa: 0.8455, kb_relative_information_score: 2271.7536, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9667, predictive_accuracy: 0.9661, prior_entropy: 0.5848, recall: 0.9661, relative_absolute_error: 0.3316, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.167, root_relative_squared_error: 0.4812, scimark_benchmark: 1844.2676, usercpu_time_millis: 122.89, usercpu_time_millis_testing: 4.029, usercpu_time_millis_training: 118.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9705, kappa: 0.8755, kb_relative_information_score: 2526.3746, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9705, predictive_accuracy: 0.971, prior_entropy: 0.5848, recall: 0.971, relative_absolute_error: 0.2016, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1568, root_relative_squared_error: 0.4518, scimark_benchmark: 1746.401, usercpu_time_millis: 138.299, usercpu_time_millis_testing: 0.569, usercpu_time_millis_training: 137.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9568, kappa: 0.8174, kb_relative_information_score: 2218.714, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9566, predictive_accuracy: 0.9576, prior_entropy: 0.5848, recall: 0.9576, relative_absolute_error: 0.3197, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.5169, scimark_benchmark: 1853.9121, usercpu_time_millis: 128.787, usercpu_time_millis_testing: 1.081, usercpu_time_millis_training: 127.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9613, kappa: 0.8311, kb_relative_information_score: 2156.4442, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9642, predictive_accuracy: 0.9634, prior_entropy: 0.5848, recall: 0.9634, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.5079, scimark_benchmark: 1845.7061, usercpu_time_millis: 64.519, usercpu_time_millis_testing: 2.268, usercpu_time_millis_training: 62.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 0.8643, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1736.6739, usercpu_time_millis: 9.292, usercpu_time_millis_testing: 1.459, usercpu_time_millis_training: 7.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9591, kappa: 0.8313, kb_relative_information_score: 2289.4861, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9595, predictive_accuracy: 0.9588, prior_entropy: 0.5848, recall: 0.9588, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.5175, scimark_benchmark: 1778.3075, usercpu_time_millis: 4515.317, usercpu_time_millis_testing: 2.292, usercpu_time_millis_training: 4513.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.9591, kappa: 0.831, kb_relative_information_score: 2298.6417, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9594, predictive_accuracy: 0.9588, prior_entropy: 0.5848, recall: 0.9588, relative_absolute_error: 0.2847, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.5152, scimark_benchmark: 1770.8094, usercpu_time_millis: 2069.071, usercpu_time_millis_testing: 1.487, usercpu_time_millis_training: 2067.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9729, kappa: 0.8865, kb_relative_information_score: 2684.2205, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9728, predictive_accuracy: 0.9732, prior_entropy: 0.5848, recall: 0.9732, relative_absolute_error: 0.149, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.4229, scimark_benchmark: 1768.029, usercpu_time_millis: 1961.37, usercpu_time_millis_testing: 1.314, usercpu_time_millis_training: 1960.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.973, kappa: 0.8857, kb_relative_information_score: 2572.4711, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9731, predictive_accuracy: 0.9735, prior_entropy: 0.5848, recall: 0.9735, relative_absolute_error: 0.1952, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.43, scimark_benchmark: 1796.6891, usercpu_time_millis: 1231.94, usercpu_time_millis_testing: 2.483, usercpu_time_millis_training: 1229.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9602, kappa: 0.8351, kb_relative_information_score: 2275.9493, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9603, predictive_accuracy: 0.96, prior_entropy: 0.5848, recall: 0.96, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.5093, scimark_benchmark: 1739.5021, usercpu_time_millis: 1164.402, usercpu_time_millis_testing: 1.982, usercpu_time_millis_training: 1162.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9726, kappa: 0.8841, kb_relative_information_score: 2565.9443, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9727, predictive_accuracy: 0.9732, prior_entropy: 0.5848, recall: 0.9732, relative_absolute_error: 0.2013, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.151, root_relative_squared_error: 0.4353, scimark_benchmark: 1734.693, usercpu_time_millis: 1157.41, usercpu_time_millis_testing: 2.097, usercpu_time_millis_training: 1155.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9538, kappa: 0.8075, kb_relative_information_score: 2228.6931, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9537, predictive_accuracy: 0.9539, prior_entropy: 0.5848, recall: 0.9539, relative_absolute_error: 0.3305, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.5511, scimark_benchmark: 1851.4874, usercpu_time_millis: 1012.892, usercpu_time_millis_testing: 1.529, usercpu_time_millis_training: 1011.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9598, kappa: 0.8331, kb_relative_information_score: 2259.5286, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9598, predictive_accuracy: 0.9597, prior_entropy: 0.5848, recall: 0.9597, relative_absolute_error: 0.2953, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.5051, scimark_benchmark: 1843.7454, usercpu_time_millis: 564.764, usercpu_time_millis_testing: 1.397, usercpu_time_millis_training: 563.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9767, kappa: 0.9017, kb_relative_information_score: 2619.4879, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9768, predictive_accuracy: 0.9771, prior_entropy: 0.5848, recall: 0.9771, relative_absolute_error: 0.1848, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.4074, scimark_benchmark: 1737.0881, usercpu_time_millis: 481.951, usercpu_time_millis_testing: 2.154, usercpu_time_millis_training: 479.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9727, kappa: 0.8845, kb_relative_information_score: 2289.6731, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9727, predictive_accuracy: 0.9732, prior_entropy: 0.5848, recall: 0.9732, relative_absolute_error: 0.2877, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.4737, scimark_benchmark: 1833.2039, usercpu_time_millis: 281.701, usercpu_time_millis_testing: 1.657, usercpu_time_millis_training: 280.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9618, kappa: 0.8409, kb_relative_information_score: 2239.2056, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9617, predictive_accuracy: 0.9619, prior_entropy: 0.5848, recall: 0.9619, relative_absolute_error: 0.3059, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.5005, scimark_benchmark: 1765.8409, usercpu_time_millis: 78.505, usercpu_time_millis_testing: 0.665, usercpu_time_millis_training: 77.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9726, kappa: 0.8837, kb_relative_information_score: 2335.7382, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9728, predictive_accuracy: 0.9732, prior_entropy: 0.5848, recall: 0.9732, relative_absolute_error: 0.2768, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.4651, scimark_benchmark: 1734.7581, usercpu_time_millis: 56.803, usercpu_time_millis_testing: 0.824, usercpu_time_millis_training: 55.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9747, kappa: 0.8936, kb_relative_information_score: 2672.3199, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9746, predictive_accuracy: 0.975, prior_entropy: 0.5848, recall: 0.975, relative_absolute_error: 0.1527, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.4196, scimark_benchmark: 1770.7939, usercpu_time_millis: 4057.124, usercpu_time_millis_testing: 1.621, usercpu_time_millis_training: 4055.503,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.9296, kappa: 0.6952, kb_relative_information_score: 1824.6739, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9295, predictive_accuracy: 0.9329, prior_entropy: 0.5848, recall: 0.9329, relative_absolute_error: 0.4729, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.641, scimark_benchmark: 1844.7474, usercpu_time_millis: 274.584, usercpu_time_millis_testing: 1.109, usercpu_time_millis_training: 273.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9598, kappa: 0.8299, kb_relative_information_score: 2280.1631, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9597, predictive_accuracy: 0.9607, prior_entropy: 0.5848, recall: 0.9607, relative_absolute_error: 0.2954, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.4984, scimark_benchmark: 1847.3406, usercpu_time_millis: 63.616, usercpu_time_millis_testing: 0.756, usercpu_time_millis_training: 62.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9589, kappa: 0.8308, kb_relative_information_score: 2278.3494, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9594, predictive_accuracy: 0.9585, prior_entropy: 0.5848, recall: 0.9585, relative_absolute_error: 0.2793, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5125, scimark_benchmark: 1841.6725, usercpu_time_millis: 46.738, usercpu_time_millis_testing: 0.533, usercpu_time_millis_training: 46.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9764, kappa: 0.9003, kb_relative_information_score: 2613.5045, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9765, predictive_accuracy: 0.9768, prior_entropy: 0.5848, recall: 0.9768, relative_absolute_error: 0.1895, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.4102, scimark_benchmark: 1721.3329, usercpu_time_millis: 32.794, usercpu_time_millis_testing: 0.636, usercpu_time_millis_training: 32.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9689, kappa: 0.8688, kb_relative_information_score: 2569.7305, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9689, predictive_accuracy: 0.9695, prior_entropy: 0.5848, recall: 0.9695, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.4579, scimark_benchmark: 1845.264, usercpu_time_millis: 1985.187, usercpu_time_millis_testing: 1.377, usercpu_time_millis_training: 1983.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 0.922, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1840.7617, usercpu_time_millis: 6.721, usercpu_time_millis_testing: 1.211, usercpu_time_millis_training: 5.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.7953, kb_relative_information_score: -9.8243, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1841.6688, usercpu_time_millis: 4.194, usercpu_time_millis_testing: 0.681, usercpu_time_millis_training: 3.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9723, kappa: 0.8827, kb_relative_information_score: 2542.7996, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9724, predictive_accuracy: 0.9729, prior_entropy: 0.5848, recall: 0.9729, relative_absolute_error: 0.2021, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.4403, scimark_benchmark: 1842.127, usercpu_time_millis: 1170.689, usercpu_time_millis_testing: 1.816, usercpu_time_millis_training: 1168.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9741, kappa: 0.891, kb_relative_information_score: 2670.9842, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.974, predictive_accuracy: 0.9744, prior_entropy: 0.5848, recall: 0.9744, relative_absolute_error: 0.1585, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.4141, scimark_benchmark: 1832.6873, usercpu_time_millis: 992.265, usercpu_time_millis_testing: 0.893, usercpu_time_millis_training: 991.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9706, kappa: 0.8762, kb_relative_information_score: 2385.5551, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9705, predictive_accuracy: 0.971, prior_entropy: 0.5848, recall: 0.971, relative_absolute_error: 0.249, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.4706, scimark_benchmark: 1837.7821, usercpu_time_millis: 799.76, usercpu_time_millis_testing: 1.555, usercpu_time_millis_training: 798.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.972, kappa: 0.8815, kb_relative_information_score: 2595.6267, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9721, predictive_accuracy: 0.9726, prior_entropy: 0.5848, recall: 0.9726, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.4309, scimark_benchmark: 1835.3481, usercpu_time_millis: 723.43, usercpu_time_millis_testing: 1.104, usercpu_time_millis_training: 722.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.971, kappa: 0.878, kb_relative_information_score: 2369.0638, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9709, predictive_accuracy: 0.9713, prior_entropy: 0.5848, recall: 0.9713, relative_absolute_error: 0.2495, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.4648, scimark_benchmark: 1828.1532, usercpu_time_millis: 524.724, usercpu_time_millis_testing: 1.21, usercpu_time_millis_training: 523.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9585, kappa: 0.8285, kb_relative_information_score: 2307.5588, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9588, predictive_accuracy: 0.9582, prior_entropy: 0.5848, recall: 0.9582, relative_absolute_error: 0.2677, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.178, root_relative_squared_error: 0.5129, scimark_benchmark: 1726.6452, usercpu_time_millis: 279.672, usercpu_time_millis_testing: 1.166, usercpu_time_millis_training: 278.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9721, kappa: 0.8813, kb_relative_information_score: 2273.2297, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9726, predictive_accuracy: 0.9729, prior_entropy: 0.5848, recall: 0.9729, relative_absolute_error: 0.3018, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.4848, scimark_benchmark: 1732.4995, usercpu_time_millis: 269.213, usercpu_time_millis_testing: 2.55, usercpu_time_millis_training: 266.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9338, kappa: 0.7016, kb_relative_information_score: 1872.0162, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9436, predictive_accuracy: 0.9405, prior_entropy: 0.5848, recall: 0.9405, relative_absolute_error: 0.5034, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.5932, scimark_benchmark: 1733.299, usercpu_time_millis: 60.876, usercpu_time_millis_testing: 3.475, usercpu_time_millis_training: 57.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.959, kappa: 0.8307, kb_relative_information_score: 2231.5325, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9593, predictive_accuracy: 0.9588, prior_entropy: 0.5848, recall: 0.9588, relative_absolute_error: 0.3009, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.5032, scimark_benchmark: 1842.1882, usercpu_time_millis: 59.817, usercpu_time_millis_testing: 1.187, usercpu_time_millis_training: 58.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7953, kb_relative_information_score: -2.7977, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1846.8212, usercpu_time_millis: 6.113, usercpu_time_millis_testing: 1.517, usercpu_time_millis_training: 4.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9708, kappa: 0.8762, kb_relative_information_score: 2578.7912, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 0.5848, recall: 0.9713, relative_absolute_error: 0.187, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.4419, scimark_benchmark: 1855.4813, usercpu_time_millis: 5290.979, usercpu_time_millis_testing: 2.177, usercpu_time_millis_training: 5288.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9554, kappa: 0.8131, kb_relative_information_score: 2278.144, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9551, predictive_accuracy: 0.9558, prior_entropy: 0.5848, recall: 0.9558, relative_absolute_error: 0.2881, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.5236, scimark_benchmark: 1793.5611, usercpu_time_millis: 1060.864, usercpu_time_millis_testing: 1.632, usercpu_time_millis_training: 1059.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9712, kappa: 0.8796, kb_relative_information_score: 2706.2821, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9711, predictive_accuracy: 0.9713, prior_entropy: 0.5848, recall: 0.9713, relative_absolute_error: 0.1408, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.4418, scimark_benchmark: 1857.0384, usercpu_time_millis: 2705.199, usercpu_time_millis_testing: 1.296, usercpu_time_millis_training: 2703.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9741, kappa: 0.891, kb_relative_information_score: 2646.9168, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.974, predictive_accuracy: 0.9744, prior_entropy: 0.5848, recall: 0.9744, relative_absolute_error: 0.1654, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.4183, scimark_benchmark: 2028.4743, usercpu_time_millis: 595.439, usercpu_time_millis_testing: 0.619, usercpu_time_millis_training: 594.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9711, kappa: 0.877, kb_relative_information_score: 2253.3043, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9717, predictive_accuracy: 0.9719, prior_entropy: 0.5848, recall: 0.9719, relative_absolute_error: 0.313, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.4767, scimark_benchmark: 1911.1491, usercpu_time_millis: 261.095, usercpu_time_millis_testing: 2.999, usercpu_time_millis_training: 258.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.9583, kappa: 0.8283, kb_relative_information_score: 2281.7966, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9588, predictive_accuracy: 0.9579, prior_entropy: 0.5848, recall: 0.9579, relative_absolute_error: 0.2752, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.5357, scimark_benchmark: 1831.6795, usercpu_time_millis: 226.448, usercpu_time_millis_testing: 0.545, usercpu_time_millis_training: 225.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9584, kappa: 0.8282, kb_relative_information_score: 2284.9126, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9587, predictive_accuracy: 0.9582, prior_entropy: 0.5848, recall: 0.9582, relative_absolute_error: 0.2719, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.5226, scimark_benchmark: 1909.4093, usercpu_time_millis: 71.493, usercpu_time_millis_testing: 0.496, usercpu_time_millis_training: 70.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.959, kappa: 0.8301, kb_relative_information_score: 2288.072, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9591, predictive_accuracy: 0.9588, prior_entropy: 0.5848, recall: 0.9588, relative_absolute_error: 0.2734, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.521, scimark_benchmark: 2030.4828, usercpu_time_millis: 27.118, usercpu_time_millis_testing: 0.457, usercpu_time_millis_training: 26.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9732, kappa: 0.8877, kb_relative_information_score: 2686.3808, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9731, predictive_accuracy: 0.9735, prior_entropy: 0.5848, recall: 0.9735, relative_absolute_error: 0.1465, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.427, scimark_benchmark: 1813.5921, usercpu_time_millis: 4426.977, usercpu_time_millis_testing: 2.019, usercpu_time_millis_training: 4424.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9583, kappa: 0.8283, kb_relative_information_score: 2284.4152, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9588, predictive_accuracy: 0.9579, prior_entropy: 0.5848, recall: 0.9579, relative_absolute_error: 0.2738, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.5375, scimark_benchmark: 1855.4813, usercpu_time_millis: 1829.275, usercpu_time_millis_testing: 1.078, usercpu_time_millis_training: 1828.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9599, kappa: 0.8343, kb_relative_information_score: 2288.3286, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9601, predictive_accuracy: 0.9597, prior_entropy: 0.5848, recall: 0.9597, relative_absolute_error: 0.2796, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.519, scimark_benchmark: 1857.5664, usercpu_time_millis: 1493.132, usercpu_time_millis_testing: 1.478, usercpu_time_millis_training: 1491.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9637, kappa: 0.8494, kb_relative_information_score: 2354.2467, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9637, predictive_accuracy: 0.9637, prior_entropy: 0.5848, recall: 0.9637, relative_absolute_error: 0.2487, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.4851, scimark_benchmark: 1825.4497, usercpu_time_millis: 3811.134, usercpu_time_millis_testing: 2.746, usercpu_time_millis_training: 3808.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9712, kappa: 0.8796, kb_relative_information_score: 2687.0256, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9711, predictive_accuracy: 0.9713, prior_entropy: 0.5848, recall: 0.9713, relative_absolute_error: 0.1431, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.4585, scimark_benchmark: 1830.3258, usercpu_time_millis: 3612.891, usercpu_time_millis_testing: 1.535, usercpu_time_millis_training: 3611.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.97, kappa: 0.8736, kb_relative_information_score: 2423.1885, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9699, predictive_accuracy: 0.9704, prior_entropy: 0.5848, recall: 0.9704, relative_absolute_error: 0.2289, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.4625, scimark_benchmark: 1833.6545, usercpu_time_millis: 2866.345, usercpu_time_millis_testing: 1.858, usercpu_time_millis_training: 2864.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9723, kappa: 0.8831, kb_relative_information_score: 2368.5929, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9724, predictive_accuracy: 0.9729, prior_entropy: 0.5848, recall: 0.9729, relative_absolute_error: 0.263, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.4535, scimark_benchmark: 1840.2451, usercpu_time_millis: 90.655, usercpu_time_millis_testing: 0.929, usercpu_time_millis_training: 89.726,

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