OpenML
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: 0.9264, f_measure: 0.8955, kappa: 0.4541, kb_relative_information_score: 7990.9824, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.893, predictive_accuracy: 0.9048, prior_entropy: 0.5207, recall: 0.9048, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2548, root_relative_squared_error: 0.7929, scimark_benchmark: 1726.7458, usercpu_time_millis: 330.797, usercpu_time_millis_testing: 8.226, usercpu_time_millis_training: 322.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.8962, kappa: 0.462, kb_relative_information_score: 8142.7188, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8933, predictive_accuracy: 0.9043, prior_entropy: 0.5207, recall: 0.9043, relative_absolute_error: 0.6483, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2562, root_relative_squared_error: 0.797, scimark_benchmark: 1726.2689, usercpu_time_millis: 289.269, usercpu_time_millis_testing: 5.328, usercpu_time_millis_training: 283.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8964, kappa: 0.4583, kb_relative_information_score: 8249.425, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8942, predictive_accuracy: 0.9058, prior_entropy: 0.5207, recall: 0.9058, relative_absolute_error: 0.6527, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.7883, scimark_benchmark: 1729.7603, usercpu_time_millis: 217.729, usercpu_time_millis_testing: 10.915, usercpu_time_millis_training: 206.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7529, f_measure: 0.8282, kb_relative_information_score: 1421.1799, mean_absolute_error: 0.1816, 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: 0.8788, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.9286, scimark_benchmark: 1725.3223, usercpu_time_millis: 167.992, usercpu_time_millis_testing: 10.831, usercpu_time_millis_training: 157.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8591, kappa: 0.2075, kb_relative_information_score: 4491.3197, mean_absolute_error: 0.1534, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8654, predictive_accuracy: 0.8899, prior_entropy: 0.5207, recall: 0.8899, relative_absolute_error: 0.7425, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.8564, scimark_benchmark: 1728.3135, usercpu_time_millis: 80.937, usercpu_time_millis_testing: 1.197, usercpu_time_millis_training: 79.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.8282, kb_relative_information_score: 394.1201, mean_absolute_error: 0.1944, 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: 0.9411, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.9464, scimark_benchmark: 1723.9038, usercpu_time_millis: 73.02, usercpu_time_millis_testing: 9.983, usercpu_time_millis_training: 63.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.8282, kb_relative_information_score: -11.4764, 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: 0.9999, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1, scimark_benchmark: 1723.8042, usercpu_time_millis: 55.94, usercpu_time_millis_testing: 8.93, usercpu_time_millis_training: 47.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.9008, kappa: 0.4903, kb_relative_information_score: 9590.5356, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8981, predictive_accuracy: 0.9075, prior_entropy: 0.5207, recall: 0.9075, relative_absolute_error: 0.6228, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.7818, scimark_benchmark: 1865.1209, usercpu_time_millis: 481.128, usercpu_time_millis_testing: 12.186, usercpu_time_millis_training: 468.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, f_measure: 0.8593, kappa: 0.2085, kb_relative_information_score: 4404.7195, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8656, predictive_accuracy: 0.89, prior_entropy: 0.5207, recall: 0.89, relative_absolute_error: 0.7609, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2744, root_relative_squared_error: 0.8537, scimark_benchmark: 1717.2815, usercpu_time_millis: 391.434, usercpu_time_millis_testing: 13.924, usercpu_time_millis_training: 377.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.9011, kappa: 0.4924, kb_relative_information_score: 9659.3334, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8984, predictive_accuracy: 0.9077, prior_entropy: 0.5207, recall: 0.9077, relative_absolute_error: 0.6222, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.779, scimark_benchmark: 1727.3596, usercpu_time_millis: 292.397, usercpu_time_millis_testing: 11.798, usercpu_time_millis_training: 280.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.862, kappa: 0.2259, kb_relative_information_score: 3189.6504, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.868, predictive_accuracy: 0.8911, prior_entropy: 0.5207, recall: 0.8911, relative_absolute_error: 0.7471, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.8466, scimark_benchmark: 1733.7613, usercpu_time_millis: 210.515, usercpu_time_millis_testing: 7.756, usercpu_time_millis_training: 202.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.8588, kappa: 0.2051, kb_relative_information_score: 4471.3215, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.865, predictive_accuracy: 0.8897, prior_entropy: 0.5207, recall: 0.8897, relative_absolute_error: 0.7482, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.8484, scimark_benchmark: 1850.1794, usercpu_time_millis: 125.058, usercpu_time_millis_testing: 4.663, usercpu_time_millis_training: 120.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.8282, kb_relative_information_score: 283.3123, mean_absolute_error: 0.1876, 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: 0.9081, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2959, root_relative_squared_error: 0.9207, scimark_benchmark: 1725.7822, usercpu_time_millis: 59.763, usercpu_time_millis_testing: 5.991, usercpu_time_millis_training: 53.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8282, kb_relative_information_score: -39.5581, 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: 1717.8303, usercpu_time_millis: 27.042, usercpu_time_millis_testing: 1.193, usercpu_time_millis_training: 25.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.8282, kb_relative_information_score: -2100.5415, mean_absolute_error: 0.1705, 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: 0.8251, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.8958, scimark_benchmark: 1882.8532, usercpu_time_millis: 14.147, usercpu_time_millis_testing: 0.627, usercpu_time_millis_training: 13.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.894, kappa: 0.4439, kb_relative_information_score: 7847.7436, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8917, predictive_accuracy: 0.9041, prior_entropy: 0.5207, recall: 0.9041, relative_absolute_error: 0.6562, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.255, root_relative_squared_error: 0.7932, scimark_benchmark: 1717.4916, usercpu_time_millis: 316.03, usercpu_time_millis_testing: 13.399, usercpu_time_millis_training: 302.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8824, kappa: 0.3676, kb_relative_information_score: 5455.2818, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8812, predictive_accuracy: 0.8981, prior_entropy: 0.5207, recall: 0.8981, relative_absolute_error: 0.7068, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2639, root_relative_squared_error: 0.8212, scimark_benchmark: 1731.9625, usercpu_time_millis: 290.748, usercpu_time_millis_testing: 12.656, usercpu_time_millis_training: 278.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.8595, kappa: 0.2096, kb_relative_information_score: 4599.9133, mean_absolute_error: 0.153, 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: 0.7407, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.8476, scimark_benchmark: 1848.388, usercpu_time_millis: 246.236, usercpu_time_millis_testing: 7.755, usercpu_time_millis_training: 238.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8585, kappa: 0.1942, kb_relative_information_score: 4089.7767, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8811, predictive_accuracy: 0.8936, prior_entropy: 0.5207, recall: 0.8936, relative_absolute_error: 0.755, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2699, root_relative_squared_error: 0.8396, scimark_benchmark: 1852.5406, usercpu_time_millis: 220.887, usercpu_time_millis_testing: 9.822, usercpu_time_millis_training: 211.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.8795, kappa: 0.3401, kb_relative_information_score: 3995.1272, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8826, predictive_accuracy: 0.8993, prior_entropy: 0.5207, recall: 0.8993, relative_absolute_error: 0.7242, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.267, root_relative_squared_error: 0.8307, scimark_benchmark: 1853.3841, usercpu_time_millis: 190.951, usercpu_time_millis_testing: 7.893, usercpu_time_millis_training: 183.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, f_measure: 0.8282, kb_relative_information_score: -1718.1842, mean_absolute_error: 0.1673, 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: 0.8096, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.285, root_relative_squared_error: 0.8867, scimark_benchmark: 1736.4102, usercpu_time_millis: 188.362, usercpu_time_millis_testing: 13.121, usercpu_time_millis_training: 175.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8489, kappa: 0.1323, kb_relative_information_score: 4097.8446, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8781, predictive_accuracy: 0.89, prior_entropy: 0.5207, recall: 0.89, relative_absolute_error: 0.7546, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.8419, scimark_benchmark: 1853.3841, usercpu_time_millis: 189.869, usercpu_time_millis_testing: 8.194, usercpu_time_millis_training: 181.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.902, kappa: 0.5016, kb_relative_information_score: 9577.1973, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8993, predictive_accuracy: 0.9074, prior_entropy: 0.5207, recall: 0.9074, relative_absolute_error: 0.6168, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.7819, scimark_benchmark: 1737.4645, usercpu_time_millis: 111.338, usercpu_time_millis_testing: 2.447, usercpu_time_millis_training: 108.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8282, kb_relative_information_score: -10.1943, 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: 0.9999, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1, scimark_benchmark: 1843.1989, usercpu_time_millis: 99.182, usercpu_time_millis_testing: 6.238, usercpu_time_millis_training: 92.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.8282, kb_relative_information_score: -2030.0498, mean_absolute_error: 0.169, 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: 0.818, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2852, root_relative_squared_error: 0.8874, scimark_benchmark: 1844.7928, usercpu_time_millis: 93.517, usercpu_time_millis_testing: 6.892, usercpu_time_millis_training: 86.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.8609, kappa: 0.2186, kb_relative_information_score: 4554.4248, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8672, predictive_accuracy: 0.8907, prior_entropy: 0.5207, recall: 0.8907, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.8473, scimark_benchmark: 1848.6377, usercpu_time_millis: 25.017, usercpu_time_millis_testing: 0.632, usercpu_time_millis_training: 24.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8603, kappa: 0.2152, kb_relative_information_score: 4651.4991, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8665, predictive_accuracy: 0.8904, prior_entropy: 0.5207, recall: 0.8904, relative_absolute_error: 0.733, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.851, scimark_benchmark: 1851.4874, usercpu_time_millis: 8.291, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 8.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8941, kappa: 0.4463, kb_relative_information_score: 7697.2309, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8915, predictive_accuracy: 0.9037, prior_entropy: 0.5207, recall: 0.9037, relative_absolute_error: 0.6541, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.256, root_relative_squared_error: 0.7964, scimark_benchmark: 1722.6507, usercpu_time_millis: 598.9, usercpu_time_millis_testing: 16.012, usercpu_time_millis_training: 582.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.8592, kappa: 0.2078, kb_relative_information_score: 4691.9123, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8655, predictive_accuracy: 0.8899, prior_entropy: 0.5207, recall: 0.8899, relative_absolute_error: 0.7416, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.273, root_relative_squared_error: 0.8494, scimark_benchmark: 1714.7312, usercpu_time_millis: 297.625, usercpu_time_millis_testing: 6.758, usercpu_time_millis_training: 290.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.8282, kb_relative_information_score: 940.2579, mean_absolute_error: 0.1774, 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: 0.8584, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.8863, scimark_benchmark: 1752.1033, usercpu_time_millis: 162.451, usercpu_time_millis_testing: 15.692, usercpu_time_millis_training: 146.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.8282, kb_relative_information_score: -669.3691, 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: 0.2848, root_relative_squared_error: 0.8862, scimark_benchmark: 1706.475, usercpu_time_millis: 1111.786, usercpu_time_millis_testing: 36.748, usercpu_time_millis_training: 1075.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8967, kappa: 0.4602, kb_relative_information_score: 8424.1275, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8945, predictive_accuracy: 0.906, prior_entropy: 0.5207, recall: 0.906, relative_absolute_error: 0.6448, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.253, root_relative_squared_error: 0.7871, scimark_benchmark: 1797.6701, usercpu_time_millis: 429.426, usercpu_time_millis_testing: 10.673, usercpu_time_millis_training: 418.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8856, kappa: 0.3969, kb_relative_information_score: 5613.2379, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8823, predictive_accuracy: 0.8973, prior_entropy: 0.5207, recall: 0.8973, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2667, root_relative_squared_error: 0.8298, scimark_benchmark: 1727.5559, usercpu_time_millis: 286.609, usercpu_time_millis_testing: 7.184, usercpu_time_millis_training: 279.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8851, kappa: 0.3785, kb_relative_information_score: 6004.7411, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8862, predictive_accuracy: 0.9015, prior_entropy: 0.5207, recall: 0.9015, relative_absolute_error: 0.6894, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2597, root_relative_squared_error: 0.8081, scimark_benchmark: 1781.0314, usercpu_time_millis: 203.896, usercpu_time_millis_testing: 12.22, usercpu_time_millis_training: 191.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8844, kappa: 0.3731, kb_relative_information_score: 6337.9439, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8857, predictive_accuracy: 0.9012, prior_entropy: 0.5207, recall: 0.9012, relative_absolute_error: 0.6879, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.259, root_relative_squared_error: 0.8059, scimark_benchmark: 1779.9242, usercpu_time_millis: 115.215, usercpu_time_millis_testing: 6.097, usercpu_time_millis_training: 109.118,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.8282, kb_relative_information_score: 517.0822, mean_absolute_error: 0.1628, 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: 0.788, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.8701, scimark_benchmark: 1792.239, usercpu_time_millis: 233.921, usercpu_time_millis_testing: 14.455, usercpu_time_millis_training: 219.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8582, kappa: 0.1909, kb_relative_information_score: 4222.9768, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8847, predictive_accuracy: 0.894, prior_entropy: 0.5207, recall: 0.894, relative_absolute_error: 0.7661, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2677, root_relative_squared_error: 0.833, scimark_benchmark: 2123.3774, usercpu_time_millis: 129.615, usercpu_time_millis_testing: 9.637, usercpu_time_millis_training: 119.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.8595, kappa: 0.2097, kb_relative_information_score: 4265.8848, mean_absolute_error: 0.1561, 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: 0.7555, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.8489, scimark_benchmark: 1789.5433, usercpu_time_millis: 104.915, usercpu_time_millis_testing: 5.145, usercpu_time_millis_training: 99.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8282, kb_relative_information_score: -10.1388, 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: 0.9999, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1, scimark_benchmark: 1734.9164, usercpu_time_millis: 73.121, usercpu_time_millis_testing: 4.601, usercpu_time_millis_training: 68.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8282, kb_relative_information_score: -25.1663, 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, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1, scimark_benchmark: 1942.6668, usercpu_time_millis: 59.007, usercpu_time_millis_testing: 5.603, usercpu_time_millis_training: 53.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.8282, kb_relative_information_score: -18.139, 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: 0.9999, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1, scimark_benchmark: 1805.5053, usercpu_time_millis: 34.812, usercpu_time_millis_testing: 5.755, usercpu_time_millis_training: 29.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8282, kb_relative_information_score: -13.8099, 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: 0.9998, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1, scimark_benchmark: 1750.8933, usercpu_time_millis: 19.675, usercpu_time_millis_testing: 2.12, usercpu_time_millis_training: 17.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8885, kappa: 0.4029, kb_relative_information_score: 6887.9254, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8879, predictive_accuracy: 0.9025, prior_entropy: 0.5207, recall: 0.9025, relative_absolute_error: 0.6716, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.7998, scimark_benchmark: 1963.5032, usercpu_time_millis: 666.012, usercpu_time_millis_testing: 21.652, usercpu_time_millis_training: 644.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8923, kappa: 0.4287, kb_relative_information_score: 7757.6521, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8909, predictive_accuracy: 0.9042, prior_entropy: 0.5207, recall: 0.9042, relative_absolute_error: 0.6586, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.7923, scimark_benchmark: 1715.2104, usercpu_time_millis: 559.937, usercpu_time_millis_testing: 16.383, usercpu_time_millis_training: 543.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.8941, kappa: 0.4436, kb_relative_information_score: 7459.2296, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.892, predictive_accuracy: 0.9044, prior_entropy: 0.5207, recall: 0.9044, relative_absolute_error: 0.6613, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2562, root_relative_squared_error: 0.7971, scimark_benchmark: 1798.5961, usercpu_time_millis: 454.352, usercpu_time_millis_testing: 20.464, usercpu_time_millis_training: 433.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.8807, kappa: 0.3506, kb_relative_information_score: 4216.8605, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.882, predictive_accuracy: 0.8989, prior_entropy: 0.5207, recall: 0.8989, relative_absolute_error: 0.7198, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.8301, scimark_benchmark: 1840.2451, usercpu_time_millis: 380.293, usercpu_time_millis_testing: 11.886, usercpu_time_millis_training: 368.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8323, kappa: 0.0257, kb_relative_information_score: 2633.448, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8806, predictive_accuracy: 0.8845, prior_entropy: 0.5207, recall: 0.8845, relative_absolute_error: 0.8537, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.8824, scimark_benchmark: 1767.9725, usercpu_time_millis: 127.438, usercpu_time_millis_testing: 17.233, usercpu_time_millis_training: 110.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.8649, kappa: 0.2358, kb_relative_information_score: 5659.2447, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8843, predictive_accuracy: 0.8963, prior_entropy: 0.5207, recall: 0.8963, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.8174, scimark_benchmark: 1838.1861, usercpu_time_millis: 93.02, usercpu_time_millis_testing: 6.698, usercpu_time_millis_training: 86.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, f_measure: 0.869, kappa: 0.2629, kb_relative_information_score: 6045.596, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8848, predictive_accuracy: 0.8977, prior_entropy: 0.5207, recall: 0.8977, relative_absolute_error: 0.7316, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2625, root_relative_squared_error: 0.8166, scimark_benchmark: 1742.0764, usercpu_time_millis: 49.724, usercpu_time_millis_testing: 3.305, usercpu_time_millis_training: 46.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.849, kappa: 0.1314, kb_relative_information_score: 4041.4533, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8844, predictive_accuracy: 0.8907, prior_entropy: 0.5207, recall: 0.8907, relative_absolute_error: 0.826, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2774, root_relative_squared_error: 0.863, scimark_benchmark: 1857.1691, usercpu_time_millis: 67.027, usercpu_time_millis_testing: 4.192, usercpu_time_millis_training: 62.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, f_measure: 0.8282, kb_relative_information_score: -562.6098, mean_absolute_error: 0.168, 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: 0.8133, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.8938, scimark_benchmark: 1738.8103, usercpu_time_millis: 188.374, usercpu_time_millis_testing: 6.044, usercpu_time_millis_training: 182.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.8282, kb_relative_information_score: 1230.1651, mean_absolute_error: 0.1641, 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: 0.7944, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.8606, scimark_benchmark: 1782.1791, usercpu_time_millis: 18.134, usercpu_time_millis_testing: 1.19, usercpu_time_millis_training: 16.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8282, kb_relative_information_score: 271.3792, mean_absolute_error: 0.1969, 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: 0.953, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.9567, scimark_benchmark: 1792.8628, usercpu_time_millis: 12.126, usercpu_time_millis_testing: 0.583, usercpu_time_millis_training: 11.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8282, kb_relative_information_score: -56.6009, 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, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1, scimark_benchmark: 1779.6021, usercpu_time_millis: 7.977, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 7.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.9013, kappa: 0.4928, kb_relative_information_score: 9207.8252, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8986, predictive_accuracy: 0.9079, prior_entropy: 0.5207, recall: 0.9079, relative_absolute_error: 0.63, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2514, root_relative_squared_error: 0.7822, scimark_benchmark: 1748.1631, usercpu_time_millis: 138.256, usercpu_time_millis_testing: 5.375, usercpu_time_millis_training: 132.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.8282, kb_relative_information_score: -1131.7925, mean_absolute_error: 0.1675, 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: 0.8105, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2862, root_relative_squared_error: 0.8906, scimark_benchmark: 1832.6873, usercpu_time_millis: 106.869, usercpu_time_millis_testing: 2.444, usercpu_time_millis_training: 104.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.8282, kb_relative_information_score: -111.4383, 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: 1765.9238, usercpu_time_millis: 7.497, usercpu_time_millis_testing: 0.448, usercpu_time_millis_training: 7.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.8972, kappa: 0.4671, kb_relative_information_score: 8347.8019, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8945, predictive_accuracy: 0.9054, prior_entropy: 0.5207, recall: 0.9054, relative_absolute_error: 0.645, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.792, scimark_benchmark: 1763.0593, usercpu_time_millis: 537.17, usercpu_time_millis_testing: 18.394, usercpu_time_millis_training: 518.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.8595, kappa: 0.2099, kb_relative_information_score: 4602.1005, mean_absolute_error: 0.1522, 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: 0.7366, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.8502, scimark_benchmark: 1755.3876, usercpu_time_millis: 503.237, usercpu_time_millis_testing: 14.651, usercpu_time_millis_training: 488.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, f_measure: 0.8282, kb_relative_information_score: 2025.8295, mean_absolute_error: 0.1604, 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: 0.7763, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2777, root_relative_squared_error: 0.8641, scimark_benchmark: 1760.8077, usercpu_time_millis: 355.611, usercpu_time_millis_testing: 10.129, usercpu_time_millis_training: 345.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8575, f_measure: 0.8282, kb_relative_information_score: -767.6549, mean_absolute_error: 0.1664, 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: 0.8056, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.8893, scimark_benchmark: 1728.7106, usercpu_time_millis: 350.368, usercpu_time_millis_testing: 8.066, usercpu_time_millis_training: 342.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8957, kappa: 0.4551, kb_relative_information_score: 8437.0414, mean_absolute_error: 0.1337, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8933, predictive_accuracy: 0.9051, prior_entropy: 0.5207, recall: 0.9051, relative_absolute_error: 0.6471, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.7886, scimark_benchmark: 1757.7721, usercpu_time_millis: 260.93, usercpu_time_millis_testing: 9.642, usercpu_time_millis_training: 251.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.8652, kappa: 0.2367, kb_relative_information_score: 5011.1889, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8858, predictive_accuracy: 0.8966, prior_entropy: 0.5207, recall: 0.8966, relative_absolute_error: 0.731, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2636, root_relative_squared_error: 0.8203, scimark_benchmark: 1762.9274, usercpu_time_millis: 226.219, usercpu_time_millis_testing: 10.934, usercpu_time_millis_training: 215.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.8521, kappa: 0.1537, kb_relative_information_score: 3356.1136, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8753, predictive_accuracy: 0.8907, prior_entropy: 0.5207, recall: 0.8907, relative_absolute_error: 0.7469, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.2682, root_relative_squared_error: 0.8344, scimark_benchmark: 1761.6009, usercpu_time_millis: 172.267, usercpu_time_millis_testing: 10.341, usercpu_time_millis_training: 161.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8282, kb_relative_information_score: -27.6964, 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: 0.9999, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3214, root_relative_squared_error: 1, scimark_benchmark: 1722.6064, usercpu_time_millis: 123.937, usercpu_time_millis_testing: 6.542, usercpu_time_millis_training: 117.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.8302, kappa: 0.0129, kb_relative_information_score: 2723.5766, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8779, predictive_accuracy: 0.8837, prior_entropy: 0.5207, recall: 0.8837, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.282, root_relative_squared_error: 0.8775, scimark_benchmark: 1835.7111, usercpu_time_millis: 119.401, usercpu_time_millis_testing: 6.678, usercpu_time_millis_training: 112.723,

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