OpenML
Supervised Classification on Amazon_employee_access

Supervised Classification on Amazon_employee_access

Task 34539 Supervised Classification Amazon_employee_access 22125 runs submitted
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  • OpenML100 study_123 study_14 study_218
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5967, f_measure: 0.914, kb_relative_information_score: -6871.1336, mean_absolute_error: 0.1087, 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: 0.9961, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.9971, scimark_benchmark: 1367.7911, usercpu_time_millis: 5.149, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 4.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.9323, kappa: 0.2543, kb_relative_information_score: -9267.5313, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9369, predictive_accuracy: 0.9478, prior_entropy: 0.3191, recall: 0.9478, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.8553, scimark_benchmark: 1372.3832, usercpu_time_millis: 349.956, usercpu_time_millis_testing: 25.494, usercpu_time_millis_training: 324.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.914, kb_relative_information_score: -8905.7109, mean_absolute_error: 0.1003, 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: 0.9197, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.9426, scimark_benchmark: 1378.6733, usercpu_time_millis: 56.263, usercpu_time_millis_testing: 5.826, usercpu_time_millis_training: 50.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -13795.0329, mean_absolute_error: 0.1017, 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: 0.9318, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.9437, scimark_benchmark: 1367.409, usercpu_time_millis: 329.771, usercpu_time_millis_testing: 20.471, usercpu_time_millis_training: 309.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7789, f_measure: 0.9141, kappa: 0.001, kb_relative_information_score: -13295.574, mean_absolute_error: 0.1052, 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: 0.9642, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.9715, scimark_benchmark: 1377.9893, usercpu_time_millis: 184.148, usercpu_time_millis_testing: 17.159, usercpu_time_millis_training: 166.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.9309, kappa: 0.2828, kb_relative_information_score: 554.5925, mean_absolute_error: 0.0677, 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: 0.6209, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.9746, scimark_benchmark: 1376.692, usercpu_time_millis: 313.967, usercpu_time_millis_testing: 12.772, usercpu_time_millis_training: 301.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.9142, kappa: 0.0122, kb_relative_information_score: -10164.7127, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8994, predictive_accuracy: 0.9405, prior_entropy: 0.3191, recall: 0.9405, relative_absolute_error: 0.8178, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.212, root_relative_squared_error: 0.9079, scimark_benchmark: 1371.0857, usercpu_time_millis: 48.569, usercpu_time_millis_testing: 3.974, usercpu_time_millis_training: 44.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.928, kappa: 0.2496, kb_relative_information_score: -975.1275, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9227, predictive_accuracy: 0.9387, prior_entropy: 0.3191, recall: 0.9387, relative_absolute_error: 0.6426, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.9731, scimark_benchmark: 1375.0608, usercpu_time_millis: 30.137, usercpu_time_millis_testing: 1.11, usercpu_time_millis_training: 29.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, f_measure: 0.914, kb_relative_information_score: -14127.2982, 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: 0.9779, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.9842, scimark_benchmark: 1373.4492, usercpu_time_millis: 137.083, usercpu_time_millis_testing: 7.041, usercpu_time_millis_training: 130.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.9189, kappa: 0.0647, kb_relative_information_score: -13996.264, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9405, predictive_accuracy: 0.9439, prior_entropy: 0.3191, recall: 0.9439, relative_absolute_error: 0.9042, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.8952, scimark_benchmark: 1385.0628, usercpu_time_millis: 176.512, usercpu_time_millis_testing: 19.529, usercpu_time_millis_training: 156.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.9192, kappa: 0.1038, kb_relative_information_score: -8416.5468, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9115, predictive_accuracy: 0.9387, prior_entropy: 0.3191, recall: 0.9387, relative_absolute_error: 0.7669, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.9124, scimark_benchmark: 1377.4266, usercpu_time_millis: 156.396, usercpu_time_millis_testing: 13.72, usercpu_time_millis_training: 142.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7207, f_measure: 0.9303, kappa: 0.2743, kb_relative_information_score: -233.3828, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9257, predictive_accuracy: 0.9405, prior_entropy: 0.3191, recall: 0.9405, relative_absolute_error: 0.6265, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.9821, scimark_benchmark: 1374.8442, usercpu_time_millis: 339.598, usercpu_time_millis_testing: 15.635, usercpu_time_millis_training: 323.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -12132.8825, mean_absolute_error: 0.0989, 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: 0.9063, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.927, scimark_benchmark: 1380.7439, usercpu_time_millis: 32.557, usercpu_time_millis_testing: 1.784, usercpu_time_millis_training: 30.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.9292, kappa: 0.2495, kb_relative_information_score: -756.1009, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9251, predictive_accuracy: 0.9415, prior_entropy: 0.3191, recall: 0.9415, relative_absolute_error: 0.6581, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.9276, scimark_benchmark: 1371.2729, usercpu_time_millis: 152.012, usercpu_time_millis_testing: 11.671, usercpu_time_millis_training: 140.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.9178, kappa: 0.0886, kb_relative_information_score: -9924.6323, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9085, predictive_accuracy: 0.9376, prior_entropy: 0.3191, recall: 0.9376, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.9454, scimark_benchmark: 1373.039, usercpu_time_millis: 120.12, usercpu_time_millis_testing: 9.106, usercpu_time_millis_training: 111.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.914, kb_relative_information_score: -11315.0311, mean_absolute_error: 0.095, 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: 0.8711, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.9211, scimark_benchmark: 1380.6037, usercpu_time_millis: 49.46, usercpu_time_millis_testing: 5.296, usercpu_time_millis_training: 44.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.914, kb_relative_information_score: -276.8095, 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: 1.0002, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1372.2686, usercpu_time_millis: 9.366, usercpu_time_millis_testing: 0.643, usercpu_time_millis_training: 8.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, f_measure: 0.9307, kappa: 0.2821, kb_relative_information_score: 606.8624, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9262, predictive_accuracy: 0.9405, prior_entropy: 0.3191, recall: 0.9405, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.9824, scimark_benchmark: 1375.4793, usercpu_time_millis: 116.68, usercpu_time_millis_testing: 5.494, usercpu_time_millis_training: 111.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.9437, kappa: 0.4132, kb_relative_information_score: -6157.1935, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9435, predictive_accuracy: 0.952, prior_entropy: 0.3191, recall: 0.952, relative_absolute_error: 0.7351, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.8403, scimark_benchmark: 1379.7696, usercpu_time_millis: 457.545, usercpu_time_millis_testing: 16.167, usercpu_time_millis_training: 441.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.9149, kappa: 0.0109, kb_relative_information_score: -10180.1025, mean_absolute_error: 0.0967, 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: 0.8863, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.9108, scimark_benchmark: 1374.0331, usercpu_time_millis: 177.986, usercpu_time_millis_testing: 16.04, usercpu_time_millis_training: 161.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.927, kappa: 0.2334, kb_relative_information_score: -2579.4463, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9215, predictive_accuracy: 0.9386, prior_entropy: 0.3191, recall: 0.9386, relative_absolute_error: 0.6796, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.9352, scimark_benchmark: 1372.8213, usercpu_time_millis: 140.388, usercpu_time_millis_testing: 10.38, usercpu_time_millis_training: 130.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7088, f_measure: 0.9292, kappa: 0.2635, kb_relative_information_score: -1097.0201, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9242, predictive_accuracy: 0.9395, prior_entropy: 0.3191, recall: 0.9395, relative_absolute_error: 0.6391, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.9845, scimark_benchmark: 1379.7599, usercpu_time_millis: 19.996, usercpu_time_millis_testing: 0.456, usercpu_time_millis_training: 19.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.9289, kappa: 0.2524, kb_relative_information_score: -774.6574, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9241, predictive_accuracy: 0.9402, prior_entropy: 0.3191, recall: 0.9402, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.229, root_relative_squared_error: 0.9805, scimark_benchmark: 1382.3315, usercpu_time_millis: 69.323, usercpu_time_millis_testing: 2.983, usercpu_time_millis_training: 66.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.914, kb_relative_information_score: -3.8835, 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: 1370.9589, usercpu_time_millis: 37.643, usercpu_time_millis_testing: 6.988, usercpu_time_millis_training: 30.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.9141, kappa: 0.001, kb_relative_information_score: -12416.595, mean_absolute_error: 0.1024, 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: 0.9385, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.221, root_relative_squared_error: 0.9464, scimark_benchmark: 1374.0688, usercpu_time_millis: 161.265, usercpu_time_millis_testing: 16.409, usercpu_time_millis_training: 144.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.914, kb_relative_information_score: -9.0522, 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: 1377.847, usercpu_time_millis: 29.503, usercpu_time_millis_testing: 5.856, usercpu_time_millis_training: 23.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.9246, kappa: 0.1463, kb_relative_information_score: -10440.2132, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9341, predictive_accuracy: 0.9453, prior_entropy: 0.3191, recall: 0.9453, relative_absolute_error: 0.8473, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.8729, scimark_benchmark: 1385.8538, usercpu_time_millis: 68.602, usercpu_time_millis_testing: 6.791, usercpu_time_millis_training: 61.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.914, kb_relative_information_score: -9627.4, mean_absolute_error: 0.094, 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: 0.8618, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.9218, scimark_benchmark: 1375.3673, usercpu_time_millis: 29.215, usercpu_time_millis_testing: 2.005, usercpu_time_millis_training: 27.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7084, f_measure: 0.9297, kappa: 0.2647, kb_relative_information_score: -423.9274, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.925, predictive_accuracy: 0.9404, prior_entropy: 0.3191, recall: 0.9404, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.229, root_relative_squared_error: 0.9805, scimark_benchmark: 1379.1317, usercpu_time_millis: 33.795, usercpu_time_millis_testing: 1.131, usercpu_time_millis_training: 32.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.9261, kappa: 0.23, kb_relative_information_score: -3229.5956, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9202, predictive_accuracy: 0.9371, prior_entropy: 0.3191, recall: 0.9371, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.9446, scimark_benchmark: 1370.8859, usercpu_time_millis: 220.715, usercpu_time_millis_testing: 12.301, usercpu_time_millis_training: 208.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.9266, kappa: 0.2395, kb_relative_information_score: -1516.0599, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9209, predictive_accuracy: 0.937, prior_entropy: 0.3191, recall: 0.937, relative_absolute_error: 0.6534, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.9701, scimark_benchmark: 1374.5498, usercpu_time_millis: 130.848, usercpu_time_millis_testing: 8.277, usercpu_time_millis_training: 122.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.9307, kappa: 0.2784, kb_relative_information_score: -171.239, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9264, predictive_accuracy: 0.941, prior_entropy: 0.3191, recall: 0.941, relative_absolute_error: 0.6262, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.9809, scimark_benchmark: 1380.622, usercpu_time_millis: 430.648, usercpu_time_millis_testing: 16.666, usercpu_time_millis_training: 413.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.9146, kappa: 0.0376, kb_relative_information_score: -11946.0603, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.901, predictive_accuracy: 0.9375, prior_entropy: 0.3191, recall: 0.9375, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.221, root_relative_squared_error: 0.9464, scimark_benchmark: 1374.25, usercpu_time_millis: 26.143, usercpu_time_millis_testing: 0.897, usercpu_time_millis_training: 25.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.9159, kappa: 0.0252, kb_relative_information_score: -13515.6485, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9384, predictive_accuracy: 0.9428, prior_entropy: 0.3191, recall: 0.9428, relative_absolute_error: 0.9105, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.9059, scimark_benchmark: 1382.1493, usercpu_time_millis: 161.503, usercpu_time_millis_testing: 20.388, usercpu_time_millis_training: 141.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6407, f_measure: 0.914, kb_relative_information_score: -5374.8146, mean_absolute_error: 0.1086, 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: 0.9954, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.9963, scimark_benchmark: 1378.0288, usercpu_time_millis: 56.072, usercpu_time_millis_testing: 6.679, usercpu_time_millis_training: 49.393,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6858, f_measure: 0.9303, kappa: 0.2761, kb_relative_information_score: 169.3836, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9256, predictive_accuracy: 0.9403, prior_entropy: 0.3191, recall: 0.9403, relative_absolute_error: 0.6215, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.9853, scimark_benchmark: 1374.3443, usercpu_time_millis: 307.963, usercpu_time_millis_testing: 14.227, usercpu_time_millis_training: 293.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7782, f_measure: 0.9285, kappa: 0.2498, kb_relative_information_score: -1101.6452, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9235, predictive_accuracy: 0.9397, prior_entropy: 0.3191, recall: 0.9397, relative_absolute_error: 0.6412, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.9799, scimark_benchmark: 1370.8523, usercpu_time_millis: 121.452, usercpu_time_millis_testing: 7.024, usercpu_time_millis_training: 114.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.9242, kappa: 0.1865, kb_relative_information_score: -8621.2895, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9182, predictive_accuracy: 0.9387, prior_entropy: 0.3191, recall: 0.9387, relative_absolute_error: 0.75, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.933, scimark_benchmark: 1385.2692, usercpu_time_millis: 171.554, usercpu_time_millis_testing: 9.514, usercpu_time_millis_training: 162.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.9288, kappa: 0.2458, kb_relative_information_score: -1019.1707, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9243, predictive_accuracy: 0.941, prior_entropy: 0.3191, recall: 0.941, relative_absolute_error: 0.6607, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.217, root_relative_squared_error: 0.9291, scimark_benchmark: 1373.6828, usercpu_time_millis: 11.006, usercpu_time_millis_testing: 0.454, usercpu_time_millis_training: 10.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.9421, kappa: 0.3915, kb_relative_information_score: -5669.645, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9423, predictive_accuracy: 0.9513, prior_entropy: 0.3191, recall: 0.9513, relative_absolute_error: 0.7385, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.8389, scimark_benchmark: 1371.5958, usercpu_time_millis: 390.479, usercpu_time_millis_testing: 18.277, usercpu_time_millis_training: 372.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.929, kappa: 0.2512, kb_relative_information_score: -814.3261, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9245, predictive_accuracy: 0.9408, prior_entropy: 0.3191, recall: 0.9408, relative_absolute_error: 0.6496, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.9457, scimark_benchmark: 1377.2932, usercpu_time_millis: 53.341, usercpu_time_millis_testing: 4.115, usercpu_time_millis_training: 49.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.9166, kappa: 0.0663, kb_relative_information_score: -11054.9762, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.906, predictive_accuracy: 0.9378, prior_entropy: 0.3191, recall: 0.9378, relative_absolute_error: 0.8009, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.218, root_relative_squared_error: 0.9333, scimark_benchmark: 1376.3516, usercpu_time_millis: 11.985, usercpu_time_millis_testing: 0.537, usercpu_time_millis_training: 11.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.9305, kappa: 0.2747, kb_relative_information_score: -309.1044, mean_absolute_error: 0.0687, 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: 0.6295, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.9787, scimark_benchmark: 1372.7483, usercpu_time_millis: 216.182, usercpu_time_millis_testing: 7.591, usercpu_time_millis_training: 208.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.9307, kappa: 0.2775, kb_relative_information_score: 323.2199, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9263, predictive_accuracy: 0.941, prior_entropy: 0.3191, recall: 0.941, relative_absolute_error: 0.6239, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.9725, scimark_benchmark: 1367.9183, usercpu_time_millis: 139.165, usercpu_time_millis_testing: 7.803, usercpu_time_millis_training: 131.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7423, f_measure: 0.9141, kappa: 0.001, kb_relative_information_score: -14120.3061, mean_absolute_error: 0.1061, 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: 0.9722, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.9796, scimark_benchmark: 1376.8563, usercpu_time_millis: 206.204, usercpu_time_millis_testing: 10.998, usercpu_time_millis_training: 195.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.9257, kappa: 0.2338, kb_relative_information_score: -2721.223, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9198, predictive_accuracy: 0.9357, prior_entropy: 0.3191, recall: 0.9357, relative_absolute_error: 0.6677, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.9819, scimark_benchmark: 1373.6724, usercpu_time_millis: 216.148, usercpu_time_millis_testing: 11.709, usercpu_time_millis_training: 204.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, f_measure: 0.9303, kappa: 0.2702, kb_relative_information_score: 158.0341, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.926, predictive_accuracy: 0.9411, prior_entropy: 0.3191, recall: 0.9411, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.9572, scimark_benchmark: 1372.0362, usercpu_time_millis: 171.572, usercpu_time_millis_testing: 11.984, usercpu_time_millis_training: 159.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.9172, kappa: 0.0431, kb_relative_information_score: -14143.4624, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9379, predictive_accuracy: 0.9432, prior_entropy: 0.3191, recall: 0.9432, relative_absolute_error: 0.902, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.9026, scimark_benchmark: 1374.4914, usercpu_time_millis: 112.871, usercpu_time_millis_testing: 5.63, usercpu_time_millis_training: 107.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, f_measure: 0.9139, kappa: 0.0057, kb_relative_information_score: -10512.7834, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8964, predictive_accuracy: 0.9408, prior_entropy: 0.3191, recall: 0.9408, relative_absolute_error: 0.8262, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.91, scimark_benchmark: 1374.3105, usercpu_time_millis: 43.18, usercpu_time_millis_testing: 2.794, usercpu_time_millis_training: 40.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8434, f_measure: 0.914, kb_relative_information_score: -9052.8143, mean_absolute_error: 0.0919, 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: 0.842, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.9187, scimark_benchmark: 1365.6382, usercpu_time_millis: 32.916, usercpu_time_millis_testing: 2.207, usercpu_time_millis_training: 30.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.914, kb_relative_information_score: -71.365, 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: 1371.7818, usercpu_time_millis: 9.355, usercpu_time_millis_testing: 0.629, usercpu_time_millis_training: 8.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.9473, kappa: 0.4933, kb_relative_information_score: 32.7058, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9455, predictive_accuracy: 0.95, prior_entropy: 0.3191, recall: 0.95, relative_absolute_error: 0.5911, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.8589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8484, f_measure: 0.9416, kappa: 0.398, kb_relative_information_score: -4871.9887, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.94, predictive_accuracy: 0.9495, prior_entropy: 0.3191, recall: 0.9495, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.9143, kappa: 0.004, kb_relative_information_score: -14920.7779, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9456, predictive_accuracy: 0.9422, prior_entropy: 0.3191, recall: 0.9422, relative_absolute_error: 0.9628, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.974, scimark_benchmark: 1851.3986, usercpu_time_millis: 238.866, usercpu_time_millis_testing: 10.786, usercpu_time_millis_training: 228.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.9146, kappa: 0.0362, kb_relative_information_score: -11786.6489, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9009, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.801, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.219, root_relative_squared_error: 0.9379, scimark_benchmark: 1726.2147, usercpu_time_millis: 168.876, usercpu_time_millis_testing: 8.267, usercpu_time_millis_training: 160.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, f_measure: 0.9306, kappa: 0.2732, kb_relative_information_score: -445.358, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9262, predictive_accuracy: 0.9413, prior_entropy: 0.3191, recall: 0.9413, relative_absolute_error: 0.6317, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.9778, scimark_benchmark: 1850.2875, usercpu_time_millis: 154.663, usercpu_time_millis_testing: 7.729, usercpu_time_millis_training: 146.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.9147, kappa: 0.0378, kb_relative_information_score: -11227.1935, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9012, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.7938, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.9383, scimark_benchmark: 1755.0885, usercpu_time_millis: 156.938, usercpu_time_millis_testing: 10.568, usercpu_time_millis_training: 146.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.9239, kappa: 0.1358, kb_relative_information_score: -14212.6891, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9349, predictive_accuracy: 0.9452, prior_entropy: 0.3191, recall: 0.9452, relative_absolute_error: 0.8873, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.8793, scimark_benchmark: 1837.1902, usercpu_time_millis: 148.883, usercpu_time_millis_testing: 8.857, usercpu_time_millis_training: 140.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.9259, kappa: 0.2302, kb_relative_information_score: -3563.8639, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9199, predictive_accuracy: 0.9365, prior_entropy: 0.3191, recall: 0.9365, relative_absolute_error: 0.6825, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.9539, scimark_benchmark: 1854.4951, usercpu_time_millis: 125.689, usercpu_time_millis_testing: 7.366, usercpu_time_millis_training: 118.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.9303, kappa: 0.271, kb_relative_information_score: 128.3474, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9259, predictive_accuracy: 0.941, prior_entropy: 0.3191, recall: 0.941, relative_absolute_error: 0.6265, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.9704, scimark_benchmark: 1848.916, usercpu_time_millis: 123.342, usercpu_time_millis_testing: 6.642, usercpu_time_millis_training: 116.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.9165, kappa: 0.0674, kb_relative_information_score: -11601.0965, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9059, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.7891, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.9473, scimark_benchmark: 1763.1797, usercpu_time_millis: 123.498, usercpu_time_millis_testing: 12.734, usercpu_time_millis_training: 110.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.9293, kappa: 0.2581, kb_relative_information_score: -537.8612, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9247, predictive_accuracy: 0.9405, prior_entropy: 0.3191, recall: 0.9405, relative_absolute_error: 0.6384, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.9645, scimark_benchmark: 1851.3986, usercpu_time_millis: 113.143, usercpu_time_millis_testing: 8.482, usercpu_time_millis_training: 104.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7307, f_measure: 0.9306, kappa: 0.2795, kb_relative_information_score: 134.7866, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9261, predictive_accuracy: 0.9406, prior_entropy: 0.3191, recall: 0.9406, relative_absolute_error: 0.6236, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.9823, scimark_benchmark: 1856.5802, usercpu_time_millis: 99.876, usercpu_time_millis_testing: 4.168, usercpu_time_millis_training: 95.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, f_measure: 0.9302, kappa: 0.2716, kb_relative_information_score: -139.1607, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9257, predictive_accuracy: 0.9407, prior_entropy: 0.3191, recall: 0.9407, relative_absolute_error: 0.6269, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.9791, scimark_benchmark: 1854.4431, usercpu_time_millis: 100.366, usercpu_time_millis_testing: 5.568, usercpu_time_millis_training: 94.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7535, f_measure: 0.9273, kappa: 0.2536, kb_relative_information_score: -1986.6993, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9218, predictive_accuracy: 0.9366, prior_entropy: 0.3191, recall: 0.9366, relative_absolute_error: 0.6586, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2343, root_relative_squared_error: 1.0032, scimark_benchmark: 1848.321, usercpu_time_millis: 96.188, usercpu_time_millis_testing: 4.207, usercpu_time_millis_training: 91.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8053, f_measure: 0.9263, kappa: 0.2391, kb_relative_information_score: -2218.1849, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9204, predictive_accuracy: 0.9362, prior_entropy: 0.3191, recall: 0.9362, relative_absolute_error: 0.6609, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.9832, scimark_benchmark: 1849.3742, usercpu_time_millis: 67.102, usercpu_time_millis_testing: 3.692, usercpu_time_millis_training: 63.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.9151, kappa: 0.037, kb_relative_information_score: -11247.1787, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9025, predictive_accuracy: 0.9387, prior_entropy: 0.3191, recall: 0.9387, relative_absolute_error: 0.8191, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.9167, scimark_benchmark: 1846.2342, usercpu_time_millis: 67.754, usercpu_time_millis_testing: 4.9, usercpu_time_millis_training: 62.854,

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