Task
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: 0.6753, f_measure: 0.914, kb_relative_information_score: -11305.1392, mean_absolute_error: 0.1077, 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: 0.9876, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.991, scimark_benchmark: 1844.7258, usercpu_time_millis: 103.176, usercpu_time_millis_testing: 7.83, usercpu_time_millis_training: 95.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6802, f_measure: 0.914, kb_relative_information_score: -11781.4985, mean_absolute_error: 0.1077, 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: 0.987, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.9905, scimark_benchmark: 1730.4309, usercpu_time_millis: 82.568, usercpu_time_millis_testing: 5.252, usercpu_time_millis_training: 77.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.622, f_measure: 0.914, kb_relative_information_score: -9157.8326, 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: 0.9928, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.9951, scimark_benchmark: 1757.2784, usercpu_time_millis: 74.231, usercpu_time_millis_testing: 6.067, usercpu_time_millis_training: 68.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, f_measure: 0.9275, kappa: 0.2571, kb_relative_information_score: -1790.6612, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9221, predictive_accuracy: 0.9366, prior_entropy: 0.3191, recall: 0.9366, relative_absolute_error: 0.6552, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.9958, scimark_benchmark: 1731.5003, usercpu_time_millis: 61.799, usercpu_time_millis_testing: 1.738, usercpu_time_millis_training: 60.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.914, kb_relative_information_score: -11342.9462, mean_absolute_error: 0.0933, 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: 0.8551, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.9178, scimark_benchmark: 1727.5086, usercpu_time_millis: 58.967, usercpu_time_millis_testing: 4.526, usercpu_time_millis_training: 54.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.914, kb_relative_information_score: -1.8219, 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: 1728.8162, usercpu_time_millis: 38.93, usercpu_time_millis_testing: 5.772, usercpu_time_millis_training: 33.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.914, kb_relative_information_score: -11.0375, 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: 1838.795, usercpu_time_millis: 34.696, usercpu_time_millis_testing: 4.531, usercpu_time_millis_training: 30.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.914, kb_relative_information_score: -198.1757, 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: 1732.2155, usercpu_time_millis: 14.616, usercpu_time_millis_testing: 0.684, usercpu_time_millis_training: 13.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.914, kb_relative_information_score: -10.8058, 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: 0.999, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1847.8629, usercpu_time_millis: 5.356, usercpu_time_millis_testing: 0.633, usercpu_time_millis_training: 4.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.9205, kappa: 0.0874, kb_relative_information_score: -10909.5687, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9374, predictive_accuracy: 0.9443, prior_entropy: 0.3191, recall: 0.9443, relative_absolute_error: 0.8497, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.8853, scimark_benchmark: 1812.6432, usercpu_time_millis: 403.683, usercpu_time_millis_testing: 10.31, usercpu_time_millis_training: 393.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.93, kappa: 0.263, kb_relative_information_score: -424.6814, mean_absolute_error: 0.071, 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: 0.6507, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.9304, scimark_benchmark: 1730.591, usercpu_time_millis: 253.512, usercpu_time_millis_testing: 15.706, usercpu_time_millis_training: 237.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.9261, kappa: 0.2323, kb_relative_information_score: -2728.6397, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9202, predictive_accuracy: 0.9368, prior_entropy: 0.3191, recall: 0.9368, relative_absolute_error: 0.6763, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.9501, scimark_benchmark: 1733.9326, usercpu_time_millis: 179.41, usercpu_time_millis_testing: 10.523, usercpu_time_millis_training: 168.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.9153, kappa: 0.0166, kb_relative_information_score: -14990.1474, mean_absolute_error: 0.1009, 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: 0.9249, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.9127, scimark_benchmark: 1818.5819, usercpu_time_millis: 206.585, usercpu_time_millis_testing: 16.847, usercpu_time_millis_training: 189.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, f_measure: 0.914, kb_relative_information_score: -14287.2818, mean_absolute_error: 0.1062, 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: 0.9738, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.981, scimark_benchmark: 1813.5904, usercpu_time_millis: 207.825, usercpu_time_millis_testing: 9.842, usercpu_time_millis_training: 197.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -13283.2127, mean_absolute_error: 0.1, 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: 0.9168, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.9284, scimark_benchmark: 1818.5819, usercpu_time_millis: 202.768, usercpu_time_millis_testing: 13.9, usercpu_time_millis_training: 188.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.9265, kappa: 0.2459, kb_relative_information_score: -2114.9432, mean_absolute_error: 0.0723, 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: 0.6629, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.227, root_relative_squared_error: 0.972, scimark_benchmark: 1733.7613, usercpu_time_millis: 196.114, usercpu_time_millis_testing: 9.699, usercpu_time_millis_training: 186.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.9304, kappa: 0.2759, kb_relative_information_score: 250.3976, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9259, predictive_accuracy: 0.9407, prior_entropy: 0.3191, recall: 0.9407, relative_absolute_error: 0.6248, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.9724, scimark_benchmark: 1846.2342, usercpu_time_millis: 105.635, usercpu_time_millis_testing: 6.243, usercpu_time_millis_training: 99.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.9452, kappa: 0.4422, kb_relative_information_score: -5481.4516, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9436, predictive_accuracy: 0.9516, prior_entropy: 0.3191, recall: 0.9516, relative_absolute_error: 0.7201, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.8506, scimark_benchmark: 1902.8834, usercpu_time_millis: 101.001, usercpu_time_millis_testing: 3.354, usercpu_time_millis_training: 97.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.9156, kappa: 0.0532, kb_relative_information_score: -11331.6724, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9037, predictive_accuracy: 0.9375, prior_entropy: 0.3191, recall: 0.9375, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.9355, scimark_benchmark: 1734.2259, usercpu_time_millis: 76.759, usercpu_time_millis_testing: 4.848, usercpu_time_millis_training: 71.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.9157, kappa: 0.0532, kb_relative_information_score: -11007.753, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9041, predictive_accuracy: 0.9378, prior_entropy: 0.3191, recall: 0.9378, relative_absolute_error: 0.8102, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.9234, scimark_benchmark: 1801.864, usercpu_time_millis: 76.644, usercpu_time_millis_testing: 4.381, usercpu_time_millis_training: 72.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, f_measure: 0.9298, kappa: 0.2662, kb_relative_information_score: -216.6104, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9252, predictive_accuracy: 0.9406, prior_entropy: 0.3191, recall: 0.9406, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.9786, scimark_benchmark: 1892.2444, usercpu_time_millis: 70.414, usercpu_time_millis_testing: 3.686, usercpu_time_millis_training: 66.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -13964.2033, mean_absolute_error: 0.1028, 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: 0.9422, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.956, scimark_benchmark: 1905.1026, usercpu_time_millis: 65.217, usercpu_time_millis_testing: 3.445, usercpu_time_millis_training: 61.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, f_measure: 0.9297, kappa: 0.219, kb_relative_information_score: -12331.1585, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9351, predictive_accuracy: 0.9467, prior_entropy: 0.3191, recall: 0.9467, relative_absolute_error: 0.8463, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.8658, scimark_benchmark: 1719.8614, usercpu_time_millis: 41.268, usercpu_time_millis_testing: 1.896, usercpu_time_millis_training: 39.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.914, kb_relative_information_score: -17.3856, 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: 1903.4449, usercpu_time_millis: 48.41, usercpu_time_millis_testing: 5.442, usercpu_time_millis_training: 42.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.9174, kappa: 0.0809, kb_relative_information_score: -10113.1187, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9077, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.9412, scimark_benchmark: 1812.6432, usercpu_time_millis: 36.714, usercpu_time_millis_testing: 1.222, usercpu_time_millis_training: 35.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.9167, kappa: 0.036, kb_relative_information_score: -9878.2754, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9435, predictive_accuracy: 0.9432, prior_entropy: 0.3191, recall: 0.9432, relative_absolute_error: 0.8758, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.9021, scimark_benchmark: 1883.4098, usercpu_time_millis: 39.021, usercpu_time_millis_testing: 2.403, usercpu_time_millis_training: 36.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6536, f_measure: 0.914, kb_relative_information_score: -9319.8687, 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: 0.9932, scimark_benchmark: 1871.1049, usercpu_time_millis: 7.835, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 7.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, f_measure: 0.9148, kappa: 0.0099, kb_relative_information_score: -13840.4542, mean_absolute_error: 0.1013, 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: 0.9286, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.9468, scimark_benchmark: 1853.9121, usercpu_time_millis: 525.766, usercpu_time_millis_testing: 15.372, usercpu_time_millis_training: 510.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7078, f_measure: 0.9305, kappa: 0.2785, kb_relative_information_score: 32.8059, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9259, predictive_accuracy: 0.9404, prior_entropy: 0.3191, recall: 0.9404, relative_absolute_error: 0.6232, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.9835, scimark_benchmark: 1753.0898, usercpu_time_millis: 176.594, usercpu_time_millis_testing: 7.088, usercpu_time_millis_training: 169.506,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.9252, kappa: 0.2216, kb_relative_information_score: -5218.0144, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.919, predictive_accuracy: 0.9361, prior_entropy: 0.3191, recall: 0.9361, relative_absolute_error: 0.7026, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.9538, scimark_benchmark: 1767.4034, usercpu_time_millis: 85.883, usercpu_time_millis_testing: 8.375, usercpu_time_millis_training: 77.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.914, kb_relative_information_score: -9348.8199, 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: 0.9865, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.231, root_relative_squared_error: 0.9892, scimark_benchmark: 2075.5681, usercpu_time_millis: 47.752, usercpu_time_millis_testing: 5.617, usercpu_time_millis_training: 42.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.9434, kappa: 0.4093, kb_relative_information_score: -6616.8423, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9433, predictive_accuracy: 0.9519, prior_entropy: 0.3191, recall: 0.9519, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.8438, scimark_benchmark: 1193.044, usercpu_time_millis: 1273.615, usercpu_time_millis_testing: 30.01, usercpu_time_millis_training: 1243.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.9422, kappa: 0.3933, kb_relative_information_score: -7327.2581, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9424, predictive_accuracy: 0.9514, prior_entropy: 0.3191, recall: 0.9514, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.8427, scimark_benchmark: 1196.2291, usercpu_time_millis: 945.439, usercpu_time_millis_testing: 36.854, usercpu_time_millis_training: 908.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.921, kappa: 0.0964, kb_relative_information_score: -8963.7612, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9327, predictive_accuracy: 0.9442, prior_entropy: 0.3191, recall: 0.9442, relative_absolute_error: 0.8541, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.8874, scimark_benchmark: 1198.7888, usercpu_time_millis: 286.583, usercpu_time_millis_testing: 23.018, usercpu_time_millis_training: 263.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6651, f_measure: 0.9287, kappa: 0.2729, kb_relative_information_score: 1616.8799, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9236, predictive_accuracy: 0.9372, prior_entropy: 0.3191, recall: 0.9372, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2365, root_relative_squared_error: 1.0126, scimark_benchmark: 1210.3827, usercpu_time_millis: 200.721, usercpu_time_millis_testing: 6.066, usercpu_time_millis_training: 194.655,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.914, kb_relative_information_score: -82.6037, 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: 1199.4435, usercpu_time_millis: 12.435, usercpu_time_millis_testing: 0.552, usercpu_time_millis_training: 11.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -13964.1983, mean_absolute_error: 0.1012, 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: 0.9279, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.9427, scimark_benchmark: 1194.3447, usercpu_time_millis: 670.592, usercpu_time_millis_testing: 19.513, usercpu_time_millis_training: 651.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.9184, kappa: 0.0625, kb_relative_information_score: -13291.4559, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.928, predictive_accuracy: 0.9431, prior_entropy: 0.3191, recall: 0.9431, relative_absolute_error: 0.8913, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.9267, scimark_benchmark: 1196.4078, usercpu_time_millis: 866.849, usercpu_time_millis_testing: 16.416, usercpu_time_millis_training: 850.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.9185, kappa: 0.0605, kb_relative_information_score: -12207.6326, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9368, predictive_accuracy: 0.9436, prior_entropy: 0.3191, recall: 0.9436, relative_absolute_error: 0.87, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.9014, scimark_benchmark: 1202.9565, usercpu_time_millis: 33.579, usercpu_time_millis_testing: 0.911, usercpu_time_millis_training: 32.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.914, kb_relative_information_score: -130.857, 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: 1199.2651, usercpu_time_millis: 10.167, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 9.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.914, kb_relative_information_score: -14694.5474, mean_absolute_error: 0.1056, 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: 0.9679, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.9701, scimark_benchmark: 1192.3764, usercpu_time_millis: 131.973, usercpu_time_millis_testing: 11.575, usercpu_time_millis_training: 120.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, f_measure: 0.9269, kappa: 0.2448, kb_relative_information_score: -1641.0294, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9213, predictive_accuracy: 0.9369, prior_entropy: 0.3191, recall: 0.9369, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.9696, scimark_benchmark: 1193.54, usercpu_time_millis: 63.668, usercpu_time_millis_testing: 2.3, usercpu_time_millis_training: 61.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.927, kappa: 0.2493, kb_relative_information_score: -1939.7904, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9214, predictive_accuracy: 0.9366, prior_entropy: 0.3191, recall: 0.9366, relative_absolute_error: 0.6569, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.9881, scimark_benchmark: 1191.9328, usercpu_time_millis: 224.252, usercpu_time_millis_testing: 6.424, usercpu_time_millis_training: 217.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, f_measure: 0.9142, kappa: 0.002, kb_relative_information_score: -14146.1135, mean_absolute_error: 0.1058, 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: 0.9699, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.976, scimark_benchmark: 1196.4962, usercpu_time_millis: 67.104, usercpu_time_millis_testing: 3.463, usercpu_time_millis_training: 63.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.9451, kappa: 0.4339, kb_relative_information_score: -5629.5392, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9443, predictive_accuracy: 0.9524, prior_entropy: 0.3191, recall: 0.9524, relative_absolute_error: 0.7274, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.8429, scimark_benchmark: 1196.6686, usercpu_time_millis: 1337.488, usercpu_time_millis_testing: 32.153, usercpu_time_millis_training: 1305.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.9154, kappa: 0.0506, kb_relative_information_score: -11657.6534, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9031, predictive_accuracy: 0.9374, prior_entropy: 0.3191, recall: 0.9374, relative_absolute_error: 0.7893, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.9531, scimark_benchmark: 1198.1344, usercpu_time_millis: 86.418, usercpu_time_millis_testing: 4.775, usercpu_time_millis_training: 81.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -13787.4355, 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: 0.2206, root_relative_squared_error: 0.9446, scimark_benchmark: 1195.7582, usercpu_time_millis: 141.932, usercpu_time_millis_testing: 6.23, usercpu_time_millis_training: 135.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.9303, kappa: 0.2751, kb_relative_information_score: -20.5343, mean_absolute_error: 0.0681, 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: 0.6243, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.9822, scimark_benchmark: 1200.6461, usercpu_time_millis: 268.541, usercpu_time_millis_testing: 8.31, usercpu_time_millis_training: 260.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.9211, kappa: 0.11, kb_relative_information_score: -7997.0776, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9204, predictive_accuracy: 0.9422, prior_entropy: 0.3191, recall: 0.9422, relative_absolute_error: 0.7753, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.8998, scimark_benchmark: 1191.4959, usercpu_time_millis: 103.5, usercpu_time_millis_testing: 10.864, usercpu_time_millis_training: 92.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.9214, kappa: 0.1023, kb_relative_information_score: -8790.9153, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9328, predictive_accuracy: 0.9443, prior_entropy: 0.3191, recall: 0.9443, relative_absolute_error: 0.8286, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.8761, scimark_benchmark: 1196.234, usercpu_time_millis: 717.417, usercpu_time_millis_testing: 27.976, usercpu_time_millis_training: 689.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.914, kb_relative_information_score: -9131.5831, 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: 0.9887, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.9908, scimark_benchmark: 1193.6056, usercpu_time_millis: 27.693, usercpu_time_millis_testing: 3.189, usercpu_time_millis_training: 24.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.9303, kappa: 0.2686, kb_relative_information_score: 235.4551, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.926, predictive_accuracy: 0.9413, prior_entropy: 0.3191, recall: 0.9413, relative_absolute_error: 0.6297, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.9584, scimark_benchmark: 1191.6821, usercpu_time_millis: 145.158, usercpu_time_millis_testing: 6.873, usercpu_time_millis_training: 138.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7798, f_measure: 0.9145, kappa: 0.0059, kb_relative_information_score: -15372.603, mean_absolute_error: 0.1037, 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: 0.9505, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9657, scimark_benchmark: 1195.7732, usercpu_time_millis: 508.389, usercpu_time_millis_testing: 13.835, usercpu_time_millis_training: 494.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.9161, kappa: 0.0595, kb_relative_information_score: -10575.0691, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9051, predictive_accuracy: 0.9378, prior_entropy: 0.3191, recall: 0.9378, relative_absolute_error: 0.804, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.9303, scimark_benchmark: 1193.9612, usercpu_time_millis: 81.561, usercpu_time_millis_testing: 4.789, usercpu_time_millis_training: 76.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.9187, kappa: 0.0639, kb_relative_information_score: -11253.0723, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9352, predictive_accuracy: 0.9436, prior_entropy: 0.3191, recall: 0.9436, relative_absolute_error: 0.861, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.8961, scimark_benchmark: 1194.8174, usercpu_time_millis: 1020.457, usercpu_time_millis_testing: 25.99, usercpu_time_millis_training: 994.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.914, kb_relative_information_score: -13.022, 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: 1194.3164, usercpu_time_millis: 47.201, usercpu_time_millis_testing: 5.649, usercpu_time_millis_training: 41.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.9145, kappa: 0.0059, kb_relative_information_score: -11802.2263, mean_absolute_error: 0.1019, 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: 0.9342, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.9469, scimark_benchmark: 1192.9831, usercpu_time_millis: 317.83, usercpu_time_millis_testing: 23.297, usercpu_time_millis_training: 294.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.9262, kappa: 0.2319, kb_relative_information_score: -3428.7992, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9203, predictive_accuracy: 0.937, prior_entropy: 0.3191, recall: 0.937, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.9439, scimark_benchmark: 1192.8618, usercpu_time_millis: 126.945, usercpu_time_millis_testing: 5.5, usercpu_time_millis_training: 121.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.9143, kappa: 0.0047, kb_relative_information_score: -14592.7395, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9199, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.931, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.9538, scimark_benchmark: 1191.9286, usercpu_time_millis: 443.812, usercpu_time_millis_testing: 9.42, usercpu_time_millis_training: 434.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.9179, kappa: 0.0881, kb_relative_information_score: -10008.1818, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9089, predictive_accuracy: 0.938, prior_entropy: 0.3191, recall: 0.938, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.9361, scimark_benchmark: 1192.8401, usercpu_time_millis: 136.65, usercpu_time_millis_testing: 7.619, usercpu_time_millis_training: 129.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7535, f_measure: 0.914, kb_relative_information_score: -11122.1107, 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: 0.9758, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.229, root_relative_squared_error: 0.9807, scimark_benchmark: 1191.7641, usercpu_time_millis: 77.369, usercpu_time_millis_testing: 6.134, usercpu_time_millis_training: 71.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, f_measure: 0.9302, kappa: 0.2765, kb_relative_information_score: 110.7595, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9256, predictive_accuracy: 0.9402, prior_entropy: 0.3191, recall: 0.9402, relative_absolute_error: 0.6226, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.23, root_relative_squared_error: 0.9849, scimark_benchmark: 1196.6335, usercpu_time_millis: 130.566, usercpu_time_millis_testing: 3.379, usercpu_time_millis_training: 127.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.9146, kappa: 0.0069, kb_relative_information_score: -11614.4599, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9457, predictive_accuracy: 0.9423, prior_entropy: 0.3191, recall: 0.9423, relative_absolute_error: 0.9137, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.9258, scimark_benchmark: 1205.5988, usercpu_time_millis: 261.33, usercpu_time_millis_testing: 23.761, usercpu_time_millis_training: 237.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, f_measure: 0.9147, kappa: 0.0379, kb_relative_information_score: -10821.4855, mean_absolute_error: 0.0884, 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: 0.8099, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.9311, scimark_benchmark: 1198.6981, usercpu_time_millis: 215.837, usercpu_time_millis_testing: 10.775, usercpu_time_millis_training: 205.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.9185, kappa: 0.0605, kb_relative_information_score: -11009.0621, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9368, predictive_accuracy: 0.9436, prior_entropy: 0.3191, recall: 0.9436, relative_absolute_error: 0.8607, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8911, scimark_benchmark: 1197.0568, usercpu_time_millis: 250.439, usercpu_time_millis_testing: 7.979, usercpu_time_millis_training: 242.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.9152, kappa: 0.0459, kb_relative_information_score: -11944.9274, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9027, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.7941, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.221, root_relative_squared_error: 0.9463, scimark_benchmark: 1197.8039, usercpu_time_millis: 33.663, usercpu_time_millis_testing: 1.066, usercpu_time_millis_training: 32.597,

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