OpenML
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: 0.8429, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -12348.5848, mean_absolute_error: 0.0993, 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: 0.9105, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.9263, scimark_benchmark: 1853.9121, usercpu_time_millis: 175.776, usercpu_time_millis_testing: 12.91, usercpu_time_millis_training: 162.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.9224, kappa: 0.1148, kb_relative_information_score: -11631.4952, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.935, predictive_accuracy: 0.9448, prior_entropy: 0.3191, recall: 0.9448, relative_absolute_error: 0.8558, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.8811, scimark_benchmark: 1824.3041, usercpu_time_millis: 160.399, usercpu_time_millis_testing: 5.057, usercpu_time_millis_training: 155.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.9163, kappa: 0.0323, kb_relative_information_score: -12764.7644, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9304, predictive_accuracy: 0.9428, prior_entropy: 0.3191, recall: 0.9428, relative_absolute_error: 0.8933, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.9227, scimark_benchmark: 1849.7595, usercpu_time_millis: 131.887, usercpu_time_millis_testing: 3.697, usercpu_time_millis_training: 128.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, f_measure: 0.9148, kappa: 0.0099, kb_relative_information_score: -12883.3179, mean_absolute_error: 0.0981, 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: 0.8994, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.9201, scimark_benchmark: 1820.3729, usercpu_time_millis: 125.438, usercpu_time_millis_testing: 3.384, usercpu_time_millis_training: 122.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.9303, kappa: 0.2637, kb_relative_information_score: -276.5329, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9264, predictive_accuracy: 0.942, prior_entropy: 0.3191, recall: 0.942, relative_absolute_error: 0.6488, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.931, scimark_benchmark: 1826.7882, usercpu_time_millis: 111.148, usercpu_time_millis_testing: 5.911, usercpu_time_millis_training: 105.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.9252, kappa: 0.2146, kb_relative_information_score: -6251.0279, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.919, predictive_accuracy: 0.937, prior_entropy: 0.3191, recall: 0.937, relative_absolute_error: 0.7165, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.9449, scimark_benchmark: 1853.9849, usercpu_time_millis: 100.305, usercpu_time_millis_testing: 10.019, usercpu_time_millis_training: 90.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.9276, kappa: 0.2449, kb_relative_information_score: -1029.3826, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9222, predictive_accuracy: 0.9384, prior_entropy: 0.3191, recall: 0.9384, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.228, root_relative_squared_error: 0.9762, scimark_benchmark: 1845.7835, usercpu_time_millis: 100.923, usercpu_time_millis_testing: 5.748, usercpu_time_millis_training: 95.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, f_measure: 0.914, kb_relative_information_score: -12473.374, mean_absolute_error: 0.1074, 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: 0.9843, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.9887, scimark_benchmark: 1851.3986, usercpu_time_millis: 82.125, usercpu_time_millis_testing: 4.334, usercpu_time_millis_training: 77.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.9292, kappa: 0.2578, kb_relative_information_score: -783.914, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9245, predictive_accuracy: 0.9403, prior_entropy: 0.3191, recall: 0.9403, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.228, root_relative_squared_error: 0.9764, scimark_benchmark: 1839.1443, usercpu_time_millis: 67.048, usercpu_time_millis_testing: 2.815, usercpu_time_millis_training: 64.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.9272, kappa: 0.2396, kb_relative_information_score: -1931.8883, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9217, predictive_accuracy: 0.9382, prior_entropy: 0.3191, recall: 0.9382, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.9416, scimark_benchmark: 1850.2875, usercpu_time_millis: 51.908, usercpu_time_millis_testing: 2.63, usercpu_time_millis_training: 49.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.914, kb_relative_information_score: -60.4952, 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: 1850.2875, usercpu_time_millis: 30.878, usercpu_time_millis_testing: 4.649, usercpu_time_millis_training: 26.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.93, kappa: 0.2632, kb_relative_information_score: 17.4226, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9258, predictive_accuracy: 0.9414, prior_entropy: 0.3191, recall: 0.9414, relative_absolute_error: 0.6409, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.9351, scimark_benchmark: 1854.4431, usercpu_time_millis: 28.325, usercpu_time_millis_testing: 1.261, usercpu_time_millis_training: 27.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.9151, kappa: 0.0411, kb_relative_information_score: -10094.4246, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9023, predictive_accuracy: 0.938, prior_entropy: 0.3191, recall: 0.938, relative_absolute_error: 0.8176, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.9254, scimark_benchmark: 1855.4813, usercpu_time_millis: 21.109, usercpu_time_millis_testing: 1.246, usercpu_time_millis_training: 19.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.9142, kappa: 0.002, kb_relative_information_score: -14586.8199, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9455, predictive_accuracy: 0.9422, prior_entropy: 0.3191, recall: 0.9422, relative_absolute_error: 0.9592, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.9646, scimark_benchmark: 1854.4951, usercpu_time_millis: 16.439, usercpu_time_millis_testing: 0.901, usercpu_time_millis_training: 15.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, f_measure: 0.9135, kappa: -0.0001, kb_relative_information_score: -10174.9209, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8908, predictive_accuracy: 0.9406, prior_entropy: 0.3191, recall: 0.9406, relative_absolute_error: 0.8433, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.9184, scimark_benchmark: 1853.9121, usercpu_time_millis: 10.996, usercpu_time_millis_testing: 0.529, usercpu_time_millis_training: 10.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.9274, kappa: 0.2443, kb_relative_information_score: -1325.521, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9219, predictive_accuracy: 0.938, prior_entropy: 0.3191, recall: 0.938, relative_absolute_error: 0.6472, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.9731, scimark_benchmark: 1831.2615, usercpu_time_millis: 11.633, usercpu_time_millis_testing: 0.482, usercpu_time_millis_training: 11.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.914, kb_relative_information_score: -849.1301, mean_absolute_error: 0.1093, 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: 1.0021, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1809.1421, usercpu_time_millis: 1.425, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 1.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8496, f_measure: 0.9161, kappa: 0.028, kb_relative_information_score: -12202.6237, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9363, predictive_accuracy: 0.9428, prior_entropy: 0.3191, recall: 0.9428, relative_absolute_error: 0.8822, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.9067, scimark_benchmark: 1850.8706, usercpu_time_millis: 292.634, usercpu_time_millis_testing: 10.415, usercpu_time_millis_training: 282.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.9302, kappa: 0.2703, kb_relative_information_score: -283.2736, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9257, predictive_accuracy: 0.9408, prior_entropy: 0.3191, recall: 0.9408, relative_absolute_error: 0.6267, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.9808, scimark_benchmark: 1762.3571, usercpu_time_millis: 233.376, usercpu_time_millis_testing: 11.347, usercpu_time_millis_training: 222.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.9303, kappa: 0.2718, kb_relative_information_score: -86.4702, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9258, predictive_accuracy: 0.9408, prior_entropy: 0.3191, recall: 0.9408, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.9756, scimark_benchmark: 1758.3366, usercpu_time_millis: 192.144, usercpu_time_millis_testing: 8.108, usercpu_time_millis_training: 184.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.93, kappa: 0.2663, kb_relative_information_score: 31.0546, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9256, predictive_accuracy: 0.941, prior_entropy: 0.3191, recall: 0.941, relative_absolute_error: 0.6317, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.9558, scimark_benchmark: 1720.3836, usercpu_time_millis: 140.294, usercpu_time_millis_testing: 10.992, usercpu_time_millis_training: 129.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.9158, kappa: 0.0552, kb_relative_information_score: -11141.4556, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9042, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.8044, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.9307, scimark_benchmark: 1765.5386, usercpu_time_millis: 115.82, usercpu_time_millis_testing: 9.008, usercpu_time_millis_training: 106.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.9249, kappa: 0.2217, kb_relative_information_score: -3591.5261, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9187, predictive_accuracy: 0.9356, prior_entropy: 0.3191, recall: 0.9356, relative_absolute_error: 0.6766, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.9911, scimark_benchmark: 1854.4951, usercpu_time_millis: 100.447, usercpu_time_millis_testing: 5.372, usercpu_time_millis_training: 95.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.926, kappa: 0.2319, kb_relative_information_score: -2597.4098, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.92, predictive_accuracy: 0.9365, prior_entropy: 0.3191, recall: 0.9365, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.9587, scimark_benchmark: 1747.4213, usercpu_time_millis: 92.482, usercpu_time_millis_testing: 6.53, usercpu_time_millis_training: 85.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7618, f_measure: 0.9141, kappa: 0.001, kb_relative_information_score: -13622.8471, mean_absolute_error: 0.1056, 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: 0.9679, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.9756, scimark_benchmark: 1779.6969, usercpu_time_millis: 94.153, usercpu_time_millis_testing: 6.488, usercpu_time_millis_training: 87.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, f_measure: 0.9136, kappa: -0.0009, kb_relative_information_score: -9913.5002, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8893, predictive_accuracy: 0.9412, prior_entropy: 0.3191, recall: 0.9412, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.9184, scimark_benchmark: 1748.3332, usercpu_time_millis: 90.042, usercpu_time_millis_testing: 6.749, usercpu_time_millis_training: 83.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6573, f_measure: 0.914, kb_relative_information_score: -9961.3356, mean_absolute_error: 0.108, 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: 0.9898, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.9926, scimark_benchmark: 1848.348, usercpu_time_millis: 73.257, usercpu_time_millis_testing: 7.107, usercpu_time_millis_training: 66.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.914, kb_relative_information_score: -12083.1669, mean_absolute_error: 0.1048, 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: 0.9608, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.9681, scimark_benchmark: 1777.8029, usercpu_time_millis: 69.052, usercpu_time_millis_testing: 5.997, usercpu_time_millis_training: 63.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.9145, kappa: 0.0059, kb_relative_information_score: -13352.3186, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9456, predictive_accuracy: 0.9423, prior_entropy: 0.3191, recall: 0.9423, relative_absolute_error: 0.9524, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.9624, scimark_benchmark: 1768.2907, usercpu_time_millis: 63.929, usercpu_time_millis_testing: 4.244, usercpu_time_millis_training: 59.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.9308, kappa: 0.2562, kb_relative_information_score: -656.0581, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9288, predictive_accuracy: 0.9442, prior_entropy: 0.3191, recall: 0.9442, relative_absolute_error: 0.6683, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.8923, scimark_benchmark: 1853.9121, usercpu_time_millis: 60.788, usercpu_time_millis_testing: 5.123, usercpu_time_millis_training: 55.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7505, f_measure: 0.9306, kappa: 0.2754, kb_relative_information_score: -368.007, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9261, predictive_accuracy: 0.941, prior_entropy: 0.3191, recall: 0.941, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.229, root_relative_squared_error: 0.9804, scimark_benchmark: 1854.4431, usercpu_time_millis: 56.703, usercpu_time_millis_testing: 1.895, usercpu_time_millis_training: 54.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.627, f_measure: 0.914, kb_relative_information_score: -3785.0799, mean_absolute_error: 0.1088, 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: 0.9969, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.233, root_relative_squared_error: 0.9976, scimark_benchmark: 1770.7463, usercpu_time_millis: 55.797, usercpu_time_millis_testing: 8.357, usercpu_time_millis_training: 47.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.914, kb_relative_information_score: -28.2877, 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: 1776.1838, usercpu_time_millis: 24.195, usercpu_time_millis_testing: 3.322, usercpu_time_millis_training: 20.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.914, kb_relative_information_score: 3.7332, 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: 1761.4322, usercpu_time_millis: 20.122, usercpu_time_millis_testing: 4.637, usercpu_time_millis_training: 15.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.914, kb_relative_information_score: -51.4207, 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: 0.9996, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1744.7028, usercpu_time_millis: 8.321, usercpu_time_millis_testing: 0.442, usercpu_time_millis_training: 7.879,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6839, f_measure: 0.9294, kappa: 0.278, kb_relative_information_score: 1222.5641, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9244, predictive_accuracy: 0.938, prior_entropy: 0.3191, recall: 0.938, relative_absolute_error: 0.6133, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.234, root_relative_squared_error: 1.0022, scimark_benchmark: 1819.4647, usercpu_time_millis: 155.865, usercpu_time_millis_testing: 5.086, usercpu_time_millis_training: 150.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.914, kb_relative_information_score: -14408.1858, 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: 0.9752, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.9823, scimark_benchmark: 1826.2181, usercpu_time_millis: 149.48, usercpu_time_millis_testing: 6.881, usercpu_time_millis_training: 142.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7451, f_measure: 0.9309, kappa: 0.283, kb_relative_information_score: 519.5583, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9264, predictive_accuracy: 0.9407, prior_entropy: 0.3191, recall: 0.9407, relative_absolute_error: 0.618, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.9852, scimark_benchmark: 1851.3688, usercpu_time_millis: 140.17, usercpu_time_millis_testing: 6.131, usercpu_time_millis_training: 134.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.9264, kappa: 0.2378, kb_relative_information_score: -1567.9201, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9206, predictive_accuracy: 0.9366, prior_entropy: 0.3191, recall: 0.9366, relative_absolute_error: 0.6527, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.228, root_relative_squared_error: 0.9762, scimark_benchmark: 1842.7105, usercpu_time_millis: 121.513, usercpu_time_millis_testing: 8.5, usercpu_time_millis_training: 113.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.9287, kappa: 0.2458, kb_relative_information_score: -1518.1369, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9242, predictive_accuracy: 0.9408, prior_entropy: 0.3191, recall: 0.9408, relative_absolute_error: 0.6705, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.9243, scimark_benchmark: 1728.8106, usercpu_time_millis: 114.183, usercpu_time_millis_testing: 8.334, usercpu_time_millis_training: 105.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7145, f_measure: 0.9303, kappa: 0.2772, kb_relative_information_score: 35.2177, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9256, predictive_accuracy: 0.9401, prior_entropy: 0.3191, recall: 0.9401, relative_absolute_error: 0.6243, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.983, scimark_benchmark: 1841.7343, usercpu_time_millis: 112.743, usercpu_time_millis_testing: 4.804, usercpu_time_millis_training: 107.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8582, f_measure: 0.9174, kappa: 0.045, kb_relative_information_score: -9876.8714, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9374, predictive_accuracy: 0.9433, prior_entropy: 0.3191, recall: 0.9433, relative_absolute_error: 0.8744, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.8989, scimark_benchmark: 1838.217, usercpu_time_millis: 98.342, usercpu_time_millis_testing: 9.025, usercpu_time_millis_training: 89.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.9391, kappa: 0.3479, kb_relative_information_score: -6083.2025, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.941, predictive_accuracy: 0.9504, prior_entropy: 0.3191, recall: 0.9504, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.8451, scimark_benchmark: 1808.619, usercpu_time_millis: 95.789, usercpu_time_millis_testing: 3.433, usercpu_time_millis_training: 92.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.9237, kappa: 0.1914, kb_relative_information_score: -8659.1476, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9171, predictive_accuracy: 0.9369, prior_entropy: 0.3191, recall: 0.9369, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.9467, scimark_benchmark: 1848.388, usercpu_time_millis: 99.109, usercpu_time_millis_testing: 7.539, usercpu_time_millis_training: 91.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.9164, kappa: 0.0635, kb_relative_information_score: -10816.8326, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9057, predictive_accuracy: 0.9379, prior_entropy: 0.3191, recall: 0.9379, relative_absolute_error: 0.804, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.9322, scimark_benchmark: 1810.9511, usercpu_time_millis: 93.761, usercpu_time_millis_testing: 6.588, usercpu_time_millis_training: 87.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.9251, kappa: 0.2225, kb_relative_information_score: -4740.2781, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9189, predictive_accuracy: 0.9358, prior_entropy: 0.3191, recall: 0.9358, relative_absolute_error: 0.695, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.9624, scimark_benchmark: 1817.8883, usercpu_time_millis: 72.828, usercpu_time_millis_testing: 6.201, usercpu_time_millis_training: 66.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.9306, kappa: 0.2752, kb_relative_information_score: 47.6134, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9262, predictive_accuracy: 0.941, prior_entropy: 0.3191, recall: 0.941, relative_absolute_error: 0.628, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.9704, scimark_benchmark: 1800.9256, usercpu_time_millis: 51.526, usercpu_time_millis_testing: 1.386, usercpu_time_millis_training: 50.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.914, kb_relative_information_score: -126.3656, 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: 1.0003, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1842.2565, usercpu_time_millis: 41.964, usercpu_time_millis_testing: 3.932, usercpu_time_millis_training: 38.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.914, kb_relative_information_score: -12946.7458, 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: 0.9827, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.9878, scimark_benchmark: 1794.6559, usercpu_time_millis: 26.476, usercpu_time_millis_testing: 0.76, usercpu_time_millis_training: 25.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.946, kappa: 0.4617, kb_relative_information_score: -3338.5861, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9439, predictive_accuracy: 0.9509, prior_entropy: 0.3191, recall: 0.9509, relative_absolute_error: 0.6716, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.8534, scimark_benchmark: 1838.2372, usercpu_time_millis: 16.074, usercpu_time_millis_testing: 0.602, usercpu_time_millis_training: 15.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.914, kb_relative_information_score: -28.3659, 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: 1897.7203, usercpu_time_millis: 15.712, usercpu_time_millis_testing: 1.429, usercpu_time_millis_training: 14.283,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, f_measure: 0.9299, kappa: 0.2657, kb_relative_information_score: -656.9133, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9254, predictive_accuracy: 0.9408, prior_entropy: 0.3191, recall: 0.9408, relative_absolute_error: 0.6397, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9655, scimark_benchmark: 1451.1711, usercpu_time_millis: 163.285, usercpu_time_millis_testing: 8.267, usercpu_time_millis_training: 155.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8116, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -14173.427, 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: 0.9393, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.9522, scimark_benchmark: 1828.4965, usercpu_time_millis: 143.279, usercpu_time_millis_testing: 8.041, usercpu_time_millis_training: 135.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, f_measure: 0.9302, kappa: 0.2432, kb_relative_information_score: -1854.1528, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9289, predictive_accuracy: 0.9444, prior_entropy: 0.3191, recall: 0.9444, relative_absolute_error: 0.6879, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8932, scimark_benchmark: 1736.0929, usercpu_time_millis: 114.33, usercpu_time_millis_testing: 10.75, usercpu_time_millis_training: 103.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7369, f_measure: 0.9141, kappa: 0.001, kb_relative_information_score: -14234.7192, mean_absolute_error: 0.1062, 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: 0.973, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.229, root_relative_squared_error: 0.9804, scimark_benchmark: 1850.4554, usercpu_time_millis: 95.212, usercpu_time_millis_testing: 5.931, usercpu_time_millis_training: 89.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.9165, kappa: 0.0666, kb_relative_information_score: -11555.2788, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9058, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.788, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.9517, scimark_benchmark: 1746.4632, usercpu_time_millis: 81.158, usercpu_time_millis_testing: 6.178, usercpu_time_millis_training: 74.98,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, f_measure: 0.9267, kappa: 0.2457, kb_relative_information_score: -1945.8743, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.921, predictive_accuracy: 0.9363, prior_entropy: 0.3191, recall: 0.9363, relative_absolute_error: 0.6576, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.9943, scimark_benchmark: 1825.6861, usercpu_time_millis: 23.997, usercpu_time_millis_testing: 0.697, usercpu_time_millis_training: 23.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.9298, kappa: 0.2633, kb_relative_information_score: -326.4424, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9253, predictive_accuracy: 0.9409, prior_entropy: 0.3191, recall: 0.9409, relative_absolute_error: 0.6379, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.9542, scimark_benchmark: 1840.7554, usercpu_time_millis: 22.787, usercpu_time_millis_testing: 1.381, usercpu_time_millis_training: 21.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.9382, kappa: 0.3363, kb_relative_information_score: -7012.6366, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9404, predictive_accuracy: 0.95, prior_entropy: 0.3191, recall: 0.95, relative_absolute_error: 0.7594, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.8481, scimark_benchmark: 1012.9211, usercpu_time_millis: 389.915, usercpu_time_millis_testing: 12.074, usercpu_time_millis_training: 377.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6412, f_measure: 0.914, kb_relative_information_score: -7117.7579, 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: 0.9938, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.9953, scimark_benchmark: 1739.7743, usercpu_time_millis: 15.292, usercpu_time_millis_testing: 1.207, usercpu_time_millis_training: 14.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.914, kb_relative_information_score: -8535.8351, mean_absolute_error: 0.1079, 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: 0.9892, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.9915, scimark_benchmark: 1732.8983, usercpu_time_millis: 4.666, usercpu_time_millis_testing: 0.368, usercpu_time_millis_training: 4.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.928, kappa: 0.2142, kb_relative_information_score: -3928.9903, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9263, predictive_accuracy: 0.9434, prior_entropy: 0.3191, recall: 0.9434, relative_absolute_error: 0.7192, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.8936, scimark_benchmark: 1068.4457, usercpu_time_millis: 316.893, usercpu_time_millis_testing: 29.927, usercpu_time_millis_training: 286.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.914, kb_relative_information_score: -12134.1118, mean_absolute_error: 0.1038, 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: 0.9518, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.9606, scimark_benchmark: 1461.6971, usercpu_time_millis: 204.357, usercpu_time_millis_testing: 18.089, usercpu_time_millis_training: 186.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7037, f_measure: 0.914, kb_relative_information_score: -13001.7738, mean_absolute_error: 0.1071, 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: 0.9812, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.9866, scimark_benchmark: 1068.4968, usercpu_time_millis: 189.95, usercpu_time_millis_testing: 11.06, usercpu_time_millis_training: 178.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.9366, kappa: 0.3139, kb_relative_information_score: -8692.2205, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9395, predictive_accuracy: 0.9494, prior_entropy: 0.3191, recall: 0.9494, relative_absolute_error: 0.7904, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.85, scimark_benchmark: 1849.9303, usercpu_time_millis: 157.98, usercpu_time_millis_testing: 6.078, usercpu_time_millis_training: 151.902,

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