Task
Supervised Classification on Amazon_employee_access

Supervised Classification on Amazon_employee_access

Task 9911 Supervised Classification Amazon_employee_access 10955 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.9148, kappa: 0.0098, kb_relative_information_score: -13712.5069, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9405, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.924, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.9431, scimark_benchmark: 1727.6743, usercpu_time_millis: 469.631, usercpu_time_millis_testing: 12.924, usercpu_time_millis_training: 456.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.9305, kappa: 0.275, kb_relative_information_score: -115.7911, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.926, predictive_accuracy: 0.9408, prior_entropy: 0.3191, recall: 0.9408, relative_absolute_error: 0.6305, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.9698, scimark_benchmark: 1730.1903, usercpu_time_millis: 191.655, usercpu_time_millis_testing: 10.225, usercpu_time_millis_training: 181.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6695, f_measure: 0.914, kb_relative_information_score: -11113.1107, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9881, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.9916, scimark_benchmark: 1728.075, usercpu_time_millis: 172.777, usercpu_time_millis_testing: 11.218, usercpu_time_millis_training: 161.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.9265, kappa: 0.2452, kb_relative_information_score: -2174.7955, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9208, predictive_accuracy: 0.936, prior_entropy: 0.3191, recall: 0.936, relative_absolute_error: 0.6605, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.9814, scimark_benchmark: 1733.3606, usercpu_time_millis: 133.071, usercpu_time_millis_testing: 6.787, usercpu_time_millis_training: 126.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.9152, kappa: 0.0469, kb_relative_information_score: -11300.7271, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9026, predictive_accuracy: 0.9375, prior_entropy: 0.3191, recall: 0.9375, relative_absolute_error: 0.8022, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.9355, scimark_benchmark: 1737.4398, usercpu_time_millis: 75.373, usercpu_time_millis_testing: 4.087, usercpu_time_millis_training: 71.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.915, kappa: 0.0433, kb_relative_information_score: -11195.2447, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9021, predictive_accuracy: 0.9376, prior_entropy: 0.3191, recall: 0.9376, relative_absolute_error: 0.8022, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.9317, scimark_benchmark: 1726.1829, usercpu_time_millis: 69.261, usercpu_time_millis_testing: 3.767, usercpu_time_millis_training: 65.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.929, kappa: 0.2315, kb_relative_information_score: -2858.5017, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9268, predictive_accuracy: 0.9434, prior_entropy: 0.3191, recall: 0.9434, relative_absolute_error: 0.7026, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.8924, scimark_benchmark: 1734.731, usercpu_time_millis: 43.518, usercpu_time_millis_testing: 2.385, usercpu_time_millis_training: 41.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8024, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -14788.8852, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9457, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.938, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.9551, scimark_benchmark: 1722.2536, usercpu_time_millis: 16.029, usercpu_time_millis_testing: 0.492, usercpu_time_millis_training: 15.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.9351, kappa: 0.2945, kb_relative_information_score: -11434.9208, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9383, predictive_accuracy: 0.9488, prior_entropy: 0.3191, recall: 0.9488, relative_absolute_error: 0.8105, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.8579, scimark_benchmark: 1729.8792, usercpu_time_millis: 18.437, usercpu_time_millis_testing: 0.665, usercpu_time_millis_training: 17.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.9283, kappa: 0.2553, kb_relative_information_score: -1103.1977, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9231, predictive_accuracy: 0.9387, prior_entropy: 0.3191, recall: 0.9387, relative_absolute_error: 0.6554, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.9481, scimark_benchmark: 1725.3223, usercpu_time_millis: 247.98, usercpu_time_millis_testing: 14.844, usercpu_time_millis_training: 233.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8238, f_measure: 0.9145, kappa: 0.0368, kb_relative_information_score: -11218.3976, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9005, predictive_accuracy: 0.9372, prior_entropy: 0.3191, recall: 0.9372, relative_absolute_error: 0.7866, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.9571, scimark_benchmark: 1711.1583, usercpu_time_millis: 219.474, usercpu_time_millis_testing: 9.987, usercpu_time_millis_training: 209.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8069, f_measure: 0.9222, kappa: 0.2044, kb_relative_information_score: -6075.4776, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9156, predictive_accuracy: 0.9319, prior_entropy: 0.3191, recall: 0.9319, relative_absolute_error: 0.7214, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2342, root_relative_squared_error: 1.0027, scimark_benchmark: 1717.0772, usercpu_time_millis: 212.229, usercpu_time_millis_testing: 9.024, usercpu_time_millis_training: 203.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.9307, kappa: 0.2784, kb_relative_information_score: 156.15, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9263, predictive_accuracy: 0.9409, prior_entropy: 0.3191, recall: 0.9409, relative_absolute_error: 0.6241, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.9776, scimark_benchmark: 1737.4142, usercpu_time_millis: 179.319, usercpu_time_millis_testing: 9.094, usercpu_time_millis_training: 170.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.914, kb_relative_information_score: -12944.5344, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.978, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.9827, scimark_benchmark: 1731.0556, usercpu_time_millis: 134.592, usercpu_time_millis_testing: 11.133, usercpu_time_millis_training: 123.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6355, f_measure: 0.914, kb_relative_information_score: -7988.6291, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.995, scimark_benchmark: 1735.1328, usercpu_time_millis: 69.085, usercpu_time_millis_testing: 7.556, usercpu_time_millis_training: 61.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.9303, kappa: 0.2662, kb_relative_information_score: 339.0326, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9261, predictive_accuracy: 0.9416, prior_entropy: 0.3191, recall: 0.9416, relative_absolute_error: 0.6337, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.9366, scimark_benchmark: 1719.5862, usercpu_time_millis: 64.716, usercpu_time_millis_testing: 4.413, usercpu_time_millis_training: 60.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.9146, kappa: 0.0361, kb_relative_information_score: -12017.109, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9008, predictive_accuracy: 0.9376, prior_entropy: 0.3191, recall: 0.9376, relative_absolute_error: 0.7932, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.9537, scimark_benchmark: 1883.6004, usercpu_time_millis: 42.931, usercpu_time_millis_testing: 1.416, usercpu_time_millis_training: 41.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8116, f_measure: 0.9228, kappa: 0.2047, kb_relative_information_score: -6907.7325, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9161, predictive_accuracy: 0.933, prior_entropy: 0.3191, recall: 0.933, relative_absolute_error: 0.7215, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.9885, scimark_benchmark: 1723.5061, usercpu_time_millis: 137.364, usercpu_time_millis_testing: 7.728, usercpu_time_millis_training: 129.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.9153, kappa: 0.0166, kb_relative_information_score: -11156.2784, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9398, predictive_accuracy: 0.9426, prior_entropy: 0.3191, recall: 0.9426, relative_absolute_error: 0.874, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.9026, scimark_benchmark: 1737.4205, usercpu_time_millis: 115.127, usercpu_time_millis_testing: 6.477, usercpu_time_millis_training: 108.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8434, f_measure: 0.9278, kappa: 0.2249, kb_relative_information_score: -5264.6837, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9239, predictive_accuracy: 0.9416, prior_entropy: 0.3191, recall: 0.9416, relative_absolute_error: 0.7221, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.9114, scimark_benchmark: 1731.9625, usercpu_time_millis: 96.344, usercpu_time_millis_testing: 10.148, usercpu_time_millis_training: 86.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.9298, kappa: 0.2623, kb_relative_information_score: -206.7294, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9254, predictive_accuracy: 0.941, prior_entropy: 0.3191, recall: 0.941, relative_absolute_error: 0.6358, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.9537, scimark_benchmark: 1738.3274, usercpu_time_millis: 115.185, usercpu_time_millis_testing: 11.225, usercpu_time_millis_training: 103.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.914, kb_relative_information_score: -10528.1297, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9862, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.231, root_relative_squared_error: 0.9893, scimark_benchmark: 1738.3274, usercpu_time_millis: 102.033, usercpu_time_millis_testing: 9.426, usercpu_time_millis_training: 92.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -13682.3184, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9457, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.9339, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.9453, scimark_benchmark: 1731.5003, usercpu_time_millis: 90.598, usercpu_time_millis_testing: 6.191, usercpu_time_millis_training: 84.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6281, f_measure: 0.914, kb_relative_information_score: -8492.1318, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.9951, scimark_benchmark: 1721.8007, usercpu_time_millis: 38.883, usercpu_time_millis_testing: 3.101, usercpu_time_millis_training: 35.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7874, f_measure: 0.9262, kappa: 0.2377, kb_relative_information_score: -2881.4429, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9203, predictive_accuracy: 0.9363, prior_entropy: 0.3191, recall: 0.9363, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.228, root_relative_squared_error: 0.9765, scimark_benchmark: 1735.1328, usercpu_time_millis: 5.95, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 5.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.9297, kappa: 0.2531, kb_relative_information_score: -718.1915, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9258, predictive_accuracy: 0.9419, prior_entropy: 0.3191, recall: 0.9419, relative_absolute_error: 0.6563, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.9265, scimark_benchmark: 1727.9064, usercpu_time_millis: 31.447, usercpu_time_millis_testing: 2.593, usercpu_time_millis_training: 28.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.914, kb_relative_information_score: -30.9332, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1725.8551, usercpu_time_millis: 6.251, usercpu_time_millis_testing: 0.742, usercpu_time_millis_training: 5.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.9258, kappa: 0.235, kb_relative_information_score: -2669.8014, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9199, predictive_accuracy: 0.9358, prior_entropy: 0.3191, recall: 0.9358, relative_absolute_error: 0.6669, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.9822, scimark_benchmark: 1726.5817, usercpu_time_millis: 195.414, usercpu_time_millis_testing: 11.006, usercpu_time_millis_training: 184.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.9151, kappa: 0.0446, kb_relative_information_score: -11661.4233, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9022, predictive_accuracy: 0.9375, prior_entropy: 0.3191, recall: 0.9375, relative_absolute_error: 0.7971, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.941, scimark_benchmark: 1723.9214, usercpu_time_millis: 175.076, usercpu_time_millis_testing: 10.429, usercpu_time_millis_training: 164.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.9148, kappa: 0.0423, kb_relative_information_score: -11643.2474, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9015, predictive_accuracy: 0.9372, prior_entropy: 0.3191, recall: 0.9372, relative_absolute_error: 0.7894, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.9538, scimark_benchmark: 1733.7613, usercpu_time_millis: 130.89, usercpu_time_millis_testing: 8.677, usercpu_time_millis_training: 122.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, f_measure: 0.9267, kappa: 0.246, kb_relative_information_score: -2109.4582, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9211, predictive_accuracy: 0.9364, prior_entropy: 0.3191, recall: 0.9364, relative_absolute_error: 0.6591, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.9883, scimark_benchmark: 1731.0556, usercpu_time_millis: 129.71, usercpu_time_millis_testing: 6.692, usercpu_time_millis_training: 123.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7468, f_measure: 0.914, kb_relative_information_score: -13870.1897, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9751, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.9792, scimark_benchmark: 1729.6688, usercpu_time_millis: 85.029, usercpu_time_millis_testing: 7.775, usercpu_time_millis_training: 77.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.9145, kappa: 0.0358, kb_relative_information_score: -11652.2523, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9006, predictive_accuracy: 0.9375, prior_entropy: 0.3191, recall: 0.9375, relative_absolute_error: 0.7915, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.96, scimark_benchmark: 1968.7333, usercpu_time_millis: 83.18, usercpu_time_millis_testing: 3.348, usercpu_time_millis_training: 79.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6449, f_measure: 0.914, kb_relative_information_score: -10156.8856, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9908, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.232, root_relative_squared_error: 0.9935, scimark_benchmark: 1717.7792, usercpu_time_millis: 52.726, usercpu_time_millis_testing: 3.723, usercpu_time_millis_training: 49.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.9147, kappa: 0.0088, kb_relative_information_score: -16056.8379, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9399, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.9291, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.9246, scimark_benchmark: 1727.1069, usercpu_time_millis: 22.946, usercpu_time_millis_testing: 1.017, usercpu_time_millis_training: 21.929,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.9305, kappa: 0.2728, kb_relative_information_score: -292.9696, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9261, predictive_accuracy: 0.9412, prior_entropy: 0.3191, recall: 0.9412, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.9785, scimark_benchmark: 1742.1718, usercpu_time_millis: 49.364, usercpu_time_millis_testing: 1.905, usercpu_time_millis_training: 47.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.914, kb_relative_information_score: -10290.7382, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9821, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.9857, scimark_benchmark: 1736.9559, usercpu_time_millis: 81.087, usercpu_time_millis_testing: 7.876, usercpu_time_millis_training: 73.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, f_measure: 0.9305, kappa: 0.2826, kb_relative_information_score: 1037.9209, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9258, predictive_accuracy: 0.9399, prior_entropy: 0.3191, recall: 0.9399, relative_absolute_error: 0.615, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.9815, scimark_benchmark: 1764.8552, usercpu_time_millis: 40.212, usercpu_time_millis_testing: 1.581, usercpu_time_millis_training: 38.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.9141, kappa: 0.001, kb_relative_information_score: -12103.8966, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9455, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9487, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.9582, scimark_benchmark: 1730.1903, usercpu_time_millis: 58.154, usercpu_time_millis_testing: 4.864, usercpu_time_millis_training: 53.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.914, kb_relative_information_score: -21.6476, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1734.6706, usercpu_time_millis: 41.536, usercpu_time_millis_testing: 5.547, usercpu_time_millis_training: 35.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, f_measure: 0.9297, kappa: 0.2526, kb_relative_information_score: -844.5069, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9259, predictive_accuracy: 0.942, prior_entropy: 0.3191, recall: 0.942, relative_absolute_error: 0.6591, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.926, scimark_benchmark: 1730.6549, usercpu_time_millis: 40.752, usercpu_time_millis_testing: 3.913, usercpu_time_millis_training: 36.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.9301, kappa: 0.2238, kb_relative_information_score: -6736.3912, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9357, predictive_accuracy: 0.947, prior_entropy: 0.3191, recall: 0.947, relative_absolute_error: 0.7999, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.8685, scimark_benchmark: 1733.3606, usercpu_time_millis: 32.767, usercpu_time_millis_testing: 2.011, usercpu_time_millis_training: 30.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.914, kb_relative_information_score: -92.6605, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1722.8473, usercpu_time_millis: 21.398, usercpu_time_millis_testing: 1.488, usercpu_time_millis_training: 19.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.914, kb_relative_information_score: -45.0133, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1730.2773, usercpu_time_millis: 20.053, usercpu_time_millis_testing: 2.285, usercpu_time_millis_training: 17.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.914, kb_relative_information_score: -88.2512, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1734.3333, usercpu_time_millis: 11.156, usercpu_time_millis_testing: 1.434, usercpu_time_millis_training: 9.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7878, f_measure: 0.9266, kappa: 0.2506, kb_relative_information_score: -2314.3793, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.921, predictive_accuracy: 0.9355, prior_entropy: 0.3191, recall: 0.9355, relative_absolute_error: 0.6635, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.9963, scimark_benchmark: 1719.5606, usercpu_time_millis: 19.997, usercpu_time_millis_testing: 0.529, usercpu_time_millis_training: 19.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: -8.5214, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1883.6318, usercpu_time_millis: 4.58, usercpu_time_millis_testing: 0.534, usercpu_time_millis_training: 4.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.914, kb_relative_information_score: -12148.5961, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.9875, scimark_benchmark: 1716.1466, usercpu_time_millis: 3.564, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 3.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, f_measure: 0.9302, kappa: 0.2735, kb_relative_information_score: -46.0236, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9255, predictive_accuracy: 0.9403, prior_entropy: 0.3191, recall: 0.9403, relative_absolute_error: 0.6231, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.9821, scimark_benchmark: 1727.5101, usercpu_time_millis: 325.803, usercpu_time_millis_testing: 12.05, usercpu_time_millis_training: 313.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.9304, kappa: 0.2758, kb_relative_information_score: -11.6273, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9259, predictive_accuracy: 0.9406, prior_entropy: 0.3191, recall: 0.9406, relative_absolute_error: 0.6225, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.9814, scimark_benchmark: 1754.7658, usercpu_time_millis: 293.677, usercpu_time_millis_testing: 8.031, usercpu_time_millis_training: 285.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.9296, kappa: 0.2364, kb_relative_information_score: -2639.5133, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.928, predictive_accuracy: 0.944, prior_entropy: 0.3191, recall: 0.944, relative_absolute_error: 0.7, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.8925, scimark_benchmark: 1764.8852, usercpu_time_millis: 196.819, usercpu_time_millis_testing: 16.297, usercpu_time_millis_training: 180.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, f_measure: 0.916, kappa: 0.0271, kb_relative_information_score: -14860.2719, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9374, predictive_accuracy: 0.9428, prior_entropy: 0.3191, recall: 0.9428, relative_absolute_error: 0.915, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.9084, scimark_benchmark: 1800.7237, usercpu_time_millis: 196.907, usercpu_time_millis_testing: 11.809, usercpu_time_millis_training: 185.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, f_measure: 0.914, kb_relative_information_score: -11866.1063, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9703, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.9758, scimark_benchmark: 1755.9734, usercpu_time_millis: 147.904, usercpu_time_millis_testing: 16.826, usercpu_time_millis_training: 131.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, f_measure: 0.914, kb_relative_information_score: -13569.787, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.978, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.9819, scimark_benchmark: 1832.754, usercpu_time_millis: 33.944, usercpu_time_millis_testing: 2.7, usercpu_time_millis_training: 31.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.9157, kappa: 0.0543, kb_relative_information_score: -11214.7477, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.904, predictive_accuracy: 0.9376, prior_entropy: 0.3191, recall: 0.9376, relative_absolute_error: 0.7936, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.9399, scimark_benchmark: 1728.9608, usercpu_time_millis: 6.758, usercpu_time_millis_testing: 0.162, usercpu_time_millis_training: 6.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.9149, kappa: 0.0109, kb_relative_information_score: -13454.3216, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9458, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.9141, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.9354, scimark_benchmark: 1730.3259, usercpu_time_millis: 190.444, usercpu_time_millis_testing: 6.159, usercpu_time_millis_training: 184.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.9284, kappa: 0.2377, kb_relative_information_score: -2779.5764, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9241, predictive_accuracy: 0.9412, prior_entropy: 0.3191, recall: 0.9412, relative_absolute_error: 0.6896, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.9174, scimark_benchmark: 1715.1352, usercpu_time_millis: 139.61, usercpu_time_millis_testing: 12.294, usercpu_time_millis_training: 127.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.914, kb_relative_information_score: -13473.5701, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9762, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.981, scimark_benchmark: 1710.8785, usercpu_time_millis: 140.365, usercpu_time_millis_testing: 13.422, usercpu_time_millis_training: 126.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7484, f_measure: 0.914, kb_relative_information_score: -14373.4042, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9763, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.9787, scimark_benchmark: 1700.6436, usercpu_time_millis: 136.087, usercpu_time_millis_testing: 6.621, usercpu_time_millis_training: 129.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.9149, kappa: 0.0423, kb_relative_information_score: -11521.301, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9018, predictive_accuracy: 0.9375, prior_entropy: 0.3191, recall: 0.9375, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.9401, scimark_benchmark: 1787.2907, usercpu_time_millis: 122.698, usercpu_time_millis_testing: 5.575, usercpu_time_millis_training: 117.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.9146, kappa: 0.0079, kb_relative_information_score: -15819.9437, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9457, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.9398, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.9331, scimark_benchmark: 1798.5961, usercpu_time_millis: 98.477, usercpu_time_millis_testing: 5.821, usercpu_time_millis_training: 92.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.9146, kappa: 0.037, kb_relative_information_score: -11403.413, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.901, predictive_accuracy: 0.9376, prior_entropy: 0.3191, recall: 0.9376, relative_absolute_error: 0.7877, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.9539, scimark_benchmark: 1828.6642, usercpu_time_millis: 85.838, usercpu_time_millis_testing: 3.307, usercpu_time_millis_training: 82.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.9146, kappa: 0.0343, kb_relative_information_score: -9412.7889, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9007, predictive_accuracy: 0.9379, prior_entropy: 0.3191, recall: 0.9379, relative_absolute_error: 0.81, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.9255, scimark_benchmark: 1732.5721, usercpu_time_millis: 69.787, usercpu_time_millis_testing: 4.607, usercpu_time_millis_training: 65.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7372, f_measure: 0.9301, kappa: 0.2737, kb_relative_information_score: 195.0726, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9255, predictive_accuracy: 0.9403, prior_entropy: 0.3191, recall: 0.9403, relative_absolute_error: 0.6233, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.9781, scimark_benchmark: 1723.2593, usercpu_time_millis: 56.554, usercpu_time_millis_testing: 1.477, usercpu_time_millis_training: 55.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.9147, kappa: 0.0365, kb_relative_information_score: -12120.8693, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9011, predictive_accuracy: 0.9378, prior_entropy: 0.3191, recall: 0.9378, relative_absolute_error: 0.7944, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.9496, scimark_benchmark: 1952.4742, usercpu_time_millis: 56.344, usercpu_time_millis_testing: 2.483, usercpu_time_millis_training: 53.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.9287, kappa: 0.2199, kb_relative_information_score: -3671.0143, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9283, predictive_accuracy: 0.9443, prior_entropy: 0.3191, recall: 0.9443, relative_absolute_error: 0.7153, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.8947, scimark_benchmark: 1838.8902, usercpu_time_millis: 59.374, usercpu_time_millis_testing: 3.804, usercpu_time_millis_training: 55.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.914, kb_relative_information_score: -13.6569, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1787.7457, usercpu_time_millis: 43.972, usercpu_time_millis_testing: 7.552, usercpu_time_millis_training: 36.42,

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