Task
Supervised Classification on bank-marketing

Supervised Classification on bank-marketing

Task 145833 Supervised Classification bank-marketing 22645 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8841, kappa: 0.3699, kb_relative_information_score: 6647.4033, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8861, predictive_accuracy: 0.9015, prior_entropy: 0.5207, recall: 0.9015, relative_absolute_error: 0.684, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2575, root_relative_squared_error: 0.8011, scimark_benchmark: 1701.4901, usercpu_time_millis: 507.955, usercpu_time_millis_testing: 19.953, usercpu_time_millis_training: 488.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.8979, kappa: 0.4713, kb_relative_information_score: 8638.1065, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8952, predictive_accuracy: 0.9059, prior_entropy: 0.5207, recall: 0.9059, relative_absolute_error: 0.6396, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2536, root_relative_squared_error: 0.7892, scimark_benchmark: 1739.2467, usercpu_time_millis: 512.463, usercpu_time_millis_testing: 15.849, usercpu_time_millis_training: 496.614,
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: 0.9221, f_measure: 0.8934, kappa: 0.4447, kb_relative_information_score: 7354.8712, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8905, predictive_accuracy: 0.9026, prior_entropy: 0.5207, recall: 0.9026, relative_absolute_error: 0.6573, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2578, root_relative_squared_error: 0.8022, scimark_benchmark: 1853.9121, usercpu_time_millis: 440.964, usercpu_time_millis_testing: 10.84, usercpu_time_millis_training: 430.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.8801, kappa: 0.3583, kb_relative_information_score: 4735.7157, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8773, predictive_accuracy: 0.895, prior_entropy: 0.5207, recall: 0.895, relative_absolute_error: 0.7104, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2666, root_relative_squared_error: 0.8294, scimark_benchmark: 1741.8151, usercpu_time_millis: 437.696, usercpu_time_millis_testing: 15.232, usercpu_time_millis_training: 422.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.874, kappa: 0.3146, kb_relative_information_score: 5011.1237, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8726, predictive_accuracy: 0.8931, prior_entropy: 0.5207, recall: 0.8931, relative_absolute_error: 0.7191, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2698, root_relative_squared_error: 0.8394, scimark_benchmark: 1849.8294, usercpu_time_millis: 441.247, usercpu_time_millis_testing: 10.703, usercpu_time_millis_training: 430.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.8282, kb_relative_information_score: 2298.8788, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.774, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.8645, scimark_benchmark: 1829.9413, usercpu_time_millis: 462.236, usercpu_time_millis_testing: 13.454, usercpu_time_millis_training: 448.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8655, kappa: 0.2482, kb_relative_information_score: 4903.329, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8716, predictive_accuracy: 0.8928, prior_entropy: 0.5207, recall: 0.8928, relative_absolute_error: 0.7272, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.8381, scimark_benchmark: 1732.4995, usercpu_time_millis: 449.28, usercpu_time_millis_testing: 15.605, usercpu_time_millis_training: 433.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.8834, kappa: 0.3666, kb_relative_information_score: 5193.7655, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8853, predictive_accuracy: 0.901, prior_entropy: 0.5207, recall: 0.901, relative_absolute_error: 0.7032, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.8188, scimark_benchmark: 1770.4224, usercpu_time_millis: 450.526, usercpu_time_millis_testing: 16.938, usercpu_time_millis_training: 433.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.8596, kappa: 0.2108, kb_relative_information_score: 4527.6876, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8659, predictive_accuracy: 0.8901, prior_entropy: 0.5207, recall: 0.8901, relative_absolute_error: 0.7292, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.8459, scimark_benchmark: 1723.6991, usercpu_time_millis: 434.788, usercpu_time_millis_testing: 16.436, usercpu_time_millis_training: 418.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.8595, kappa: 0.2101, kb_relative_information_score: 4602.8926, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8658, predictive_accuracy: 0.8901, prior_entropy: 0.5207, recall: 0.8901, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.8475, scimark_benchmark: 1739.2467, usercpu_time_millis: 450.63, usercpu_time_millis_testing: 10.434, usercpu_time_millis_training: 440.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.9014, kappa: 0.4986, kb_relative_information_score: 10045.2803, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8987, predictive_accuracy: 0.9068, prior_entropy: 0.5207, recall: 0.9068, relative_absolute_error: 0.6106, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.7814, scimark_benchmark: 1649.9494, usercpu_time_millis: 440.456, usercpu_time_millis_testing: 6.054, usercpu_time_millis_training: 434.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.8336, kappa: 0.0352, kb_relative_information_score: 3168.0001, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8621, predictive_accuracy: 0.8844, prior_entropy: 0.5207, recall: 0.8844, relative_absolute_error: 0.7535, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.8496, scimark_benchmark: 1732.5611, usercpu_time_millis: 445.156, usercpu_time_millis_testing: 17.296, usercpu_time_millis_training: 427.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.882, kappa: 0.3651, kb_relative_information_score: 5379.731, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8807, predictive_accuracy: 0.8977, prior_entropy: 0.5207, recall: 0.8977, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.8286, scimark_benchmark: 1850.9434, usercpu_time_millis: 410.388, usercpu_time_millis_testing: 15.206, usercpu_time_millis_training: 395.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.8968, kappa: 0.4603, kb_relative_information_score: 8306.037, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8945, predictive_accuracy: 0.9061, prior_entropy: 0.5207, recall: 0.9061, relative_absolute_error: 0.6474, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2532, root_relative_squared_error: 0.7877, scimark_benchmark: 1733.299, usercpu_time_millis: 399.435, usercpu_time_millis_testing: 20.277, usercpu_time_millis_training: 379.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.8827, kappa: 0.3705, kb_relative_information_score: 5441.0122, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8813, predictive_accuracy: 0.898, prior_entropy: 0.5207, recall: 0.898, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.824, scimark_benchmark: 1718.3123, usercpu_time_millis: 367.879, usercpu_time_millis_testing: 12.173, usercpu_time_millis_training: 355.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.9004, kappa: 0.4876, kb_relative_information_score: 9544.1739, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8977, predictive_accuracy: 0.9072, prior_entropy: 0.5207, recall: 0.9072, relative_absolute_error: 0.6234, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.7819, scimark_benchmark: 2035.9118, usercpu_time_millis: 390.929, usercpu_time_millis_testing: 11.191, usercpu_time_millis_training: 379.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.8896, kappa: 0.4121, kb_relative_information_score: 6654.7532, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8884, predictive_accuracy: 0.9026, prior_entropy: 0.5207, recall: 0.9026, relative_absolute_error: 0.6734, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.803, scimark_benchmark: 1780.6618, usercpu_time_millis: 339.913, usercpu_time_millis_testing: 18.561, usercpu_time_millis_training: 321.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.8853, kappa: 0.3889, kb_relative_information_score: 6462.3704, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8832, predictive_accuracy: 0.8989, prior_entropy: 0.5207, recall: 0.8989, relative_absolute_error: 0.6816, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.8086, scimark_benchmark: 1734.7321, usercpu_time_millis: 357.699, usercpu_time_millis_testing: 17.747, usercpu_time_millis_training: 339.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8972, kappa: 0.4696, kb_relative_information_score: 8319.219, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8943, predictive_accuracy: 0.9047, prior_entropy: 0.5207, recall: 0.9047, relative_absolute_error: 0.6458, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2553, root_relative_squared_error: 0.7945, scimark_benchmark: 1718.7981, usercpu_time_millis: 363.343, usercpu_time_millis_testing: 4.976, usercpu_time_millis_training: 358.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8993, kappa: 0.4816, kb_relative_information_score: 9008.7636, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8965, predictive_accuracy: 0.9063, prior_entropy: 0.5207, recall: 0.9063, relative_absolute_error: 0.632, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.7869, scimark_benchmark: 1739.6596, usercpu_time_millis: 343.446, usercpu_time_millis_testing: 8.602, usercpu_time_millis_training: 334.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8769, kappa: 0.3198, kb_relative_information_score: 5703.295, mean_absolute_error: 0.1459, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8834, predictive_accuracy: 0.8993, prior_entropy: 0.5207, recall: 0.8993, relative_absolute_error: 0.7061, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.261, root_relative_squared_error: 0.812, scimark_benchmark: 1852.4707, usercpu_time_millis: 344.173, usercpu_time_millis_testing: 21.462, usercpu_time_millis_training: 322.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.8282, kb_relative_information_score: -934.8757, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.802, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.285, root_relative_squared_error: 0.8866, scimark_benchmark: 1743.0114, usercpu_time_millis: 323.095, usercpu_time_millis_testing: 8.229, usercpu_time_millis_training: 314.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8842, kappa: 0.3704, kb_relative_information_score: 5958.1318, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8866, predictive_accuracy: 0.9018, prior_entropy: 0.5207, recall: 0.9018, relative_absolute_error: 0.6923, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2595, root_relative_squared_error: 0.8074, scimark_benchmark: 1771.5336, usercpu_time_millis: 298.789, usercpu_time_millis_testing: 16.943, usercpu_time_millis_training: 281.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, f_measure: 0.8282, kb_relative_information_score: -1468.1572, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.8191, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.8932, scimark_benchmark: 1740.1131, usercpu_time_millis: 332.284, usercpu_time_millis_testing: 13.292, usercpu_time_millis_training: 318.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.8819, kappa: 0.3544, kb_relative_information_score: 5088.6816, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8853, predictive_accuracy: 0.9008, prior_entropy: 0.5207, recall: 0.9008, relative_absolute_error: 0.7074, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.263, root_relative_squared_error: 0.8183, scimark_benchmark: 1854.9533, usercpu_time_millis: 323, usercpu_time_millis_testing: 14.588, usercpu_time_millis_training: 308.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8972, kappa: 0.4681, kb_relative_information_score: 8402.9233, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8944, predictive_accuracy: 0.9051, prior_entropy: 0.5207, recall: 0.9051, relative_absolute_error: 0.6428, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2548, root_relative_squared_error: 0.7928, scimark_benchmark: 1851.4874, usercpu_time_millis: 328.99, usercpu_time_millis_testing: 7.853, usercpu_time_millis_training: 321.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.8965, kappa: 0.4602, kb_relative_information_score: 8027.7, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.894, predictive_accuracy: 0.9055, prior_entropy: 0.5207, recall: 0.9055, relative_absolute_error: 0.651, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.7915, scimark_benchmark: 1739.1921, usercpu_time_millis: 290.899, usercpu_time_millis_testing: 16.387, usercpu_time_millis_training: 274.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.8602, kappa: 0.2047, kb_relative_information_score: 4823.7847, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8841, predictive_accuracy: 0.8947, prior_entropy: 0.5207, recall: 0.8947, relative_absolute_error: 0.7526, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.265, root_relative_squared_error: 0.8246, scimark_benchmark: 1770.9692, usercpu_time_millis: 292.029, usercpu_time_millis_testing: 22.841, usercpu_time_millis_training: 269.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8748, kappa: 0.3138, kb_relative_information_score: 3725.442, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8762, predictive_accuracy: 0.8955, prior_entropy: 0.5207, recall: 0.8955, relative_absolute_error: 0.7277, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2685, root_relative_squared_error: 0.8353, scimark_benchmark: 1848.8474, usercpu_time_millis: 312.917, usercpu_time_millis_testing: 11.508, usercpu_time_millis_training: 301.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.885, kappa: 0.3803, kb_relative_information_score: 6376.7615, mean_absolute_error: 0.1415, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8851, predictive_accuracy: 0.9008, prior_entropy: 0.5207, recall: 0.9008, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.8066, scimark_benchmark: 1820.5148, usercpu_time_millis: 288.912, usercpu_time_millis_testing: 18.098, usercpu_time_millis_training: 270.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.8843, kappa: 0.3725, kb_relative_information_score: 5803.3701, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8858, predictive_accuracy: 0.9013, prior_entropy: 0.5207, recall: 0.9013, relative_absolute_error: 0.6927, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2603, root_relative_squared_error: 0.8098, scimark_benchmark: 1727.0949, usercpu_time_millis: 316.776, usercpu_time_millis_testing: 18.725, usercpu_time_millis_training: 298.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.896, kappa: 0.4595, kb_relative_information_score: 7929.808, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8933, predictive_accuracy: 0.9046, prior_entropy: 0.5207, recall: 0.9046, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.796, scimark_benchmark: 1742.0706, usercpu_time_millis: 318.933, usercpu_time_millis_testing: 5.403, usercpu_time_millis_training: 313.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8922, kappa: 0.4316, kb_relative_information_score: 7340.6487, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8901, predictive_accuracy: 0.9033, prior_entropy: 0.5207, recall: 0.9033, relative_absolute_error: 0.6615, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2562, root_relative_squared_error: 0.7973, scimark_benchmark: 1740.5333, usercpu_time_millis: 266.89, usercpu_time_millis_testing: 10.143, usercpu_time_millis_training: 256.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8961, kappa: 0.4602, kb_relative_information_score: 8133.3468, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8934, predictive_accuracy: 0.9047, prior_entropy: 0.5207, recall: 0.9047, relative_absolute_error: 0.6488, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.7931, scimark_benchmark: 1772.7418, usercpu_time_millis: 301.082, usercpu_time_millis_testing: 13.095, usercpu_time_millis_training: 287.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8901, kappa: 0.4165, kb_relative_information_score: 6587.2954, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8886, predictive_accuracy: 0.9026, prior_entropy: 0.5207, recall: 0.9026, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.804, scimark_benchmark: 1823.8539, usercpu_time_millis: 288.012, usercpu_time_millis_testing: 17.319, usercpu_time_millis_training: 270.693,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.8969, kappa: 0.4671, kb_relative_information_score: 8307.8902, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8941, predictive_accuracy: 0.9048, prior_entropy: 0.5207, recall: 0.9048, relative_absolute_error: 0.6443, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2554, root_relative_squared_error: 0.7946, scimark_benchmark: 1958.1963, usercpu_time_millis: 190.625, usercpu_time_millis_testing: 4.987, usercpu_time_millis_training: 185.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8998, kappa: 0.4867, kb_relative_information_score: 9367.5478, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.897, predictive_accuracy: 0.9063, prior_entropy: 0.5207, recall: 0.9063, relative_absolute_error: 0.624, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.7849, scimark_benchmark: 1720.9479, usercpu_time_millis: 165.606, usercpu_time_millis_testing: 4.001, usercpu_time_millis_training: 161.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8463, f_measure: 0.8282, kb_relative_information_score: -786.389, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.8112, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.8967, scimark_benchmark: 1725.723, usercpu_time_millis: 154.999, usercpu_time_millis_testing: 2.101, usercpu_time_millis_training: 152.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.8836, kappa: 0.3769, kb_relative_information_score: 5671.5356, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8819, predictive_accuracy: 0.8983, prior_entropy: 0.5207, recall: 0.8983, relative_absolute_error: 0.6997, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.8196, scimark_benchmark: 1723.1624, usercpu_time_millis: 179.974, usercpu_time_millis_testing: 4.596, usercpu_time_millis_training: 175.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8282, kb_relative_information_score: 2110.0496, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.7752, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.8503, scimark_benchmark: 1853.9121, usercpu_time_millis: 172.657, usercpu_time_millis_testing: 13.994, usercpu_time_millis_training: 158.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.8595, kappa: 0.21, kb_relative_information_score: 4700.1372, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8657, predictive_accuracy: 0.89, prior_entropy: 0.5207, recall: 0.89, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.271, root_relative_squared_error: 0.843, scimark_benchmark: 2009.8223, usercpu_time_millis: 192.614, usercpu_time_millis_testing: 8.854, usercpu_time_millis_training: 183.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.8846, kappa: 0.3747, kb_relative_information_score: 6267.554, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.886, predictive_accuracy: 0.9014, prior_entropy: 0.5207, recall: 0.9014, relative_absolute_error: 0.6901, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.8064, scimark_benchmark: 1738.3274, usercpu_time_millis: 170.505, usercpu_time_millis_testing: 14.156, usercpu_time_millis_training: 156.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8963, kappa: 0.4628, kb_relative_information_score: 8124.8491, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8934, predictive_accuracy: 0.9043, prior_entropy: 0.5207, recall: 0.9043, relative_absolute_error: 0.6463, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2558, root_relative_squared_error: 0.796, scimark_benchmark: 1853.454, usercpu_time_millis: 147.324, usercpu_time_millis_testing: 2.336, usercpu_time_millis_training: 144.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8761, kappa: 0.3235, kb_relative_information_score: 3751.9929, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8767, predictive_accuracy: 0.8957, prior_entropy: 0.5207, recall: 0.8957, relative_absolute_error: 0.7274, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.8348, scimark_benchmark: 1852.9259, usercpu_time_millis: 147.738, usercpu_time_millis_testing: 4.126, usercpu_time_millis_training: 143.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.8282, kb_relative_information_score: 2525.7343, mean_absolute_error: 0.1588, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.7686, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.8575, scimark_benchmark: 1741.0052, usercpu_time_millis: 139.278, usercpu_time_millis_testing: 6.596, usercpu_time_millis_training: 132.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.8282, kb_relative_information_score: 24.1789, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.8307, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.8754, scimark_benchmark: 1719.0789, usercpu_time_millis: 176.284, usercpu_time_millis_testing: 16.536, usercpu_time_millis_training: 159.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.8978, kappa: 0.47, kb_relative_information_score: 8037.3858, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8952, predictive_accuracy: 0.906, prior_entropy: 0.5207, recall: 0.906, relative_absolute_error: 0.6524, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2535, root_relative_squared_error: 0.7887, scimark_benchmark: 1891.0704, usercpu_time_millis: 138.921, usercpu_time_millis_testing: 10.57, usercpu_time_millis_training: 128.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.8282, kb_relative_information_score: -803.9311, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.8149, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.8956, scimark_benchmark: 1664.2177, usercpu_time_millis: 168.367, usercpu_time_millis_testing: 4.417, usercpu_time_millis_training: 163.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.8884, kappa: 0.4083, kb_relative_information_score: 6277.8929, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8863, predictive_accuracy: 0.9008, prior_entropy: 0.5207, recall: 0.9008, relative_absolute_error: 0.678, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.8119, scimark_benchmark: 1853.9121, usercpu_time_millis: 164.771, usercpu_time_millis_testing: 4.676, usercpu_time_millis_training: 160.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.8283, kappa: 0.0009, kb_relative_information_score: 3978.536, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.85, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.8481, scimark_benchmark: 1771.8003, usercpu_time_millis: 166.034, usercpu_time_millis_testing: 5.131, usercpu_time_millis_training: 160.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.8998, kappa: 0.4884, kb_relative_information_score: 8745.8043, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8969, predictive_accuracy: 0.9058, prior_entropy: 0.5207, recall: 0.9058, relative_absolute_error: 0.6337, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2531, root_relative_squared_error: 0.7875, scimark_benchmark: 1849.3742, usercpu_time_millis: 132.374, usercpu_time_millis_testing: 3.161, usercpu_time_millis_training: 129.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.8282, kb_relative_information_score: -310.693, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.8076, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.8703, scimark_benchmark: 1848.321, usercpu_time_millis: 158.844, usercpu_time_millis_testing: 11.79, usercpu_time_millis_training: 147.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8289, kappa: 0.0048, kb_relative_information_score: 1984.7678, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8723, predictive_accuracy: 0.8833, prior_entropy: 0.5207, recall: 0.8833, relative_absolute_error: 0.8618, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.8877, scimark_benchmark: 1706.4201, usercpu_time_millis: 159.126, usercpu_time_millis_testing: 18.076, usercpu_time_millis_training: 141.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8282, kb_relative_information_score: -2717.0119, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.9037, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.9223, scimark_benchmark: 1853.9121, usercpu_time_millis: 135.096, usercpu_time_millis_testing: 12.18, usercpu_time_millis_training: 122.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8287, kappa: 0.0036, kb_relative_information_score: 2415.2574, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8871, predictive_accuracy: 0.8832, prior_entropy: 0.5207, recall: 0.8832, relative_absolute_error: 0.8522, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.283, root_relative_squared_error: 0.8805, scimark_benchmark: 1722.2536, usercpu_time_millis: 163.928, usercpu_time_millis_testing: 11.474, usercpu_time_millis_training: 152.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.8282, kb_relative_information_score: 3752.6646, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.7926, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.858, scimark_benchmark: 1806.6349, usercpu_time_millis: 132.216, usercpu_time_millis_testing: 7.85, usercpu_time_millis_training: 124.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8282, kb_relative_information_score: 642.8181, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.8755, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.8977, scimark_benchmark: 1740.1884, usercpu_time_millis: 127.356, usercpu_time_millis_testing: 8.415, usercpu_time_millis_training: 118.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.8391, kappa: 0.0719, kb_relative_information_score: 4118.2755, mean_absolute_error: 0.1588, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8562, predictive_accuracy: 0.8851, prior_entropy: 0.5207, recall: 0.8851, relative_absolute_error: 0.7684, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.8522, scimark_benchmark: 1720.8342, usercpu_time_millis: 118.735, usercpu_time_millis_testing: 5.665, usercpu_time_millis_training: 113.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.8992, kappa: 0.481, kb_relative_information_score: 9276.01, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8964, predictive_accuracy: 0.9063, prior_entropy: 0.5207, recall: 0.9063, relative_absolute_error: 0.6301, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.7839, scimark_benchmark: 2015.4501, usercpu_time_millis: 154.372, usercpu_time_millis_testing: 5.707, usercpu_time_millis_training: 148.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.8846, kappa: 0.385, kb_relative_information_score: 5871.1207, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8823, predictive_accuracy: 0.8983, prior_entropy: 0.5207, recall: 0.8983, relative_absolute_error: 0.693, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.8179, scimark_benchmark: 1906.2427, usercpu_time_millis: 150.983, usercpu_time_millis_testing: 5.331, usercpu_time_millis_training: 145.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.8806, kappa: 0.3431, kb_relative_information_score: 7327.2727, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8866, predictive_accuracy: 0.9013, prior_entropy: 0.5207, recall: 0.9013, relative_absolute_error: 0.6969, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.256, root_relative_squared_error: 0.7966, scimark_benchmark: 1739.3522, usercpu_time_millis: 108.152, usercpu_time_millis_testing: 5.756, usercpu_time_millis_training: 102.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.9005, kappa: 0.49, kb_relative_information_score: 8989.2687, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8977, predictive_accuracy: 0.9069, prior_entropy: 0.5207, recall: 0.9069, relative_absolute_error: 0.6335, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.7852, scimark_benchmark: 1812.2788, usercpu_time_millis: 114.096, usercpu_time_millis_testing: 4.123, usercpu_time_millis_training: 109.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.831, kappa: 0.0184, kb_relative_information_score: 3685.9529, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8638, predictive_accuracy: 0.8838, prior_entropy: 0.5207, recall: 0.8838, relative_absolute_error: 0.8253, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.8799, scimark_benchmark: 1738.7921, usercpu_time_millis: 99.043, usercpu_time_millis_testing: 7.237, usercpu_time_millis_training: 91.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.8282, kb_relative_information_score: -905.564, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 0.8021, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.8863, scimark_benchmark: 1904.1644, usercpu_time_millis: 144.818, usercpu_time_millis_testing: 7.076, usercpu_time_millis_training: 137.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8993, kappa: 0.4838, kb_relative_information_score: 8585.6432, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8964, predictive_accuracy: 0.9058, prior_entropy: 0.5207, recall: 0.9058, relative_absolute_error: 0.6363, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2535, root_relative_squared_error: 0.7886, scimark_benchmark: 1738.6526, usercpu_time_millis: 97.494, usercpu_time_millis_testing: 2.731, usercpu_time_millis_training: 94.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.8282, kb_relative_information_score: -34.563, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.7797, predictive_accuracy: 0.883, prior_entropy: 0.5207, recall: 0.883, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1, scimark_benchmark: 1727.1098, usercpu_time_millis: 87, usercpu_time_millis_testing: 6.67, usercpu_time_millis_training: 80.33,

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