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: 0.5002, f_measure: 0.914, kb_relative_information_score: -92.7107, 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: 1743.1289, usercpu_time_millis: 7.696, usercpu_time_millis_testing: 0.914, usercpu_time_millis_training: 6.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.914, kb_relative_information_score: -10756.148, mean_absolute_error: 0.097, 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: 0.8893, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.9286, scimark_benchmark: 1841.1763, usercpu_time_millis: 17.906, usercpu_time_millis_testing: 1.388, usercpu_time_millis_training: 16.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.9329, kappa: 0.2608, kb_relative_information_score: -12097.2522, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9383, predictive_accuracy: 0.9483, prior_entropy: 0.3191, recall: 0.9483, relative_absolute_error: 0.8243, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.202, root_relative_squared_error: 0.8651, scimark_benchmark: 1747.9482, usercpu_time_millis: 8.378, usercpu_time_millis_testing: 0.526, usercpu_time_millis_training: 7.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.9157, kappa: 0.0239, kb_relative_information_score: -12682.7628, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9308, predictive_accuracy: 0.9426, prior_entropy: 0.3191, recall: 0.9426, relative_absolute_error: 0.8875, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.9195, scimark_benchmark: 1855.2839, usercpu_time_millis: 371.26, usercpu_time_millis_testing: 12.884, usercpu_time_millis_training: 358.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.9248, kappa: 0.2092, kb_relative_information_score: -7209.6707, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9184, predictive_accuracy: 0.9368, prior_entropy: 0.3191, recall: 0.9368, relative_absolute_error: 0.7254, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.947, scimark_benchmark: 1845.3986, usercpu_time_millis: 183.931, usercpu_time_millis_testing: 10.206, usercpu_time_millis_training: 173.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -12878.15, mean_absolute_error: 0.0984, 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: 0.902, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.9199, scimark_benchmark: 1855.0232, usercpu_time_millis: 184.423, usercpu_time_millis_testing: 9.004, usercpu_time_millis_training: 175.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8396, f_measure: 0.9152, kappa: 0.0471, kb_relative_information_score: -11005.3596, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9027, predictive_accuracy: 0.9375, prior_entropy: 0.3191, recall: 0.9375, relative_absolute_error: 0.8069, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.9307, scimark_benchmark: 1850.8185, usercpu_time_millis: 113.632, usercpu_time_millis_testing: 8.014, usercpu_time_millis_training: 105.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.9304, kappa: 0.2726, kb_relative_information_score: 4.9968, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.926, predictive_accuracy: 0.941, prior_entropy: 0.3191, recall: 0.941, relative_absolute_error: 0.6288, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.9701, scimark_benchmark: 1858.2063, usercpu_time_millis: 82.301, usercpu_time_millis_testing: 4.198, usercpu_time_millis_training: 78.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.9152, kappa: 0.047, kb_relative_information_score: -11788.491, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9026, predictive_accuracy: 0.9375, prior_entropy: 0.3191, recall: 0.9375, relative_absolute_error: 0.7963, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.9411, scimark_benchmark: 1799.6801, usercpu_time_millis: 135.293, usercpu_time_millis_testing: 7.526, usercpu_time_millis_training: 127.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, f_measure: 0.915, kappa: 0.0137, kb_relative_information_score: -12716.12, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9386, predictive_accuracy: 0.9425, prior_entropy: 0.3191, recall: 0.9425, relative_absolute_error: 0.8935, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.9173, scimark_benchmark: 1853.9121, usercpu_time_millis: 50.766, usercpu_time_millis_testing: 1.323, usercpu_time_millis_training: 49.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -14090.0925, mean_absolute_error: 0.1022, 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: 0.937, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2213, root_relative_squared_error: 0.9474, scimark_benchmark: 1855.4813, usercpu_time_millis: 52.805, usercpu_time_millis_testing: 3.095, usercpu_time_millis_training: 49.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.9287, kappa: 0.2442, kb_relative_information_score: -1345.0623, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9244, predictive_accuracy: 0.9411, prior_entropy: 0.3191, recall: 0.9411, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.216, root_relative_squared_error: 0.9247, scimark_benchmark: 1849.3014, usercpu_time_millis: 52.023, usercpu_time_millis_testing: 4.313, usercpu_time_millis_training: 47.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.9253, kappa: 0.2169, kb_relative_information_score: -5129.9395, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9191, predictive_accuracy: 0.9369, prior_entropy: 0.3191, recall: 0.9369, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.219, root_relative_squared_error: 0.9379, scimark_benchmark: 1741.4453, usercpu_time_millis: 71.119, usercpu_time_millis_testing: 3.852, usercpu_time_millis_training: 67.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6898, f_measure: 0.9142, kappa: 0.002, kb_relative_information_score: -16695.9657, mean_absolute_error: 0.1069, 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: 0.9798, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.9875, scimark_benchmark: 1746.2449, usercpu_time_millis: 79.776, usercpu_time_millis_testing: 3.023, usercpu_time_millis_training: 76.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.914, kb_relative_information_score: -21.3743, 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: 1845.3986, usercpu_time_millis: 31.882, usercpu_time_millis_testing: 4.895, usercpu_time_millis_training: 26.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7618, f_measure: 0.9271, kappa: 0.2522, kb_relative_information_score: -1902.3824, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9215, predictive_accuracy: 0.9364, prior_entropy: 0.3191, recall: 0.9364, relative_absolute_error: 0.6571, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2333, root_relative_squared_error: 0.9991, scimark_benchmark: 1740.0009, usercpu_time_millis: 45.814, usercpu_time_millis_testing: 1.424, usercpu_time_millis_training: 44.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.9281, kappa: 0.2473, kb_relative_information_score: -1096.3084, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.923, predictive_accuracy: 0.9392, prior_entropy: 0.3191, recall: 0.9392, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.9471, scimark_benchmark: 1783.6389, usercpu_time_millis: 88.338, usercpu_time_millis_testing: 6.098, usercpu_time_millis_training: 82.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.9145, kappa: 0.0352, kb_relative_information_score: -12044.4672, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9006, predictive_accuracy: 0.9376, prior_entropy: 0.3191, recall: 0.9376, relative_absolute_error: 0.7931, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.9608, scimark_benchmark: 1847.8629, usercpu_time_millis: 70.699, usercpu_time_millis_testing: 2.617, usercpu_time_millis_training: 68.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.914, kb_relative_information_score: -3.6314, 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: 1857.1082, usercpu_time_millis: 21.886, usercpu_time_millis_testing: 3.699, usercpu_time_millis_training: 18.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.9156, kappa: 0.0538, kb_relative_information_score: -11091.0869, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9036, predictive_accuracy: 0.9374, prior_entropy: 0.3191, recall: 0.9374, relative_absolute_error: 0.8009, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.9343, scimark_benchmark: 1853.454, usercpu_time_millis: 14.764, usercpu_time_millis_testing: 0.598, usercpu_time_millis_training: 14.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.9154, kappa: 0.0186, kb_relative_information_score: -12213.8047, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9405, predictive_accuracy: 0.9426, prior_entropy: 0.3191, recall: 0.9426, relative_absolute_error: 0.882, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.907, scimark_benchmark: 1851.9468, usercpu_time_millis: 22.527, usercpu_time_millis_testing: 0.808, usercpu_time_millis_training: 21.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6111, f_measure: 0.914, kb_relative_information_score: -5651.7442, 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: 0.9962, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.9972, scimark_benchmark: 1848.4799, usercpu_time_millis: 39.158, usercpu_time_millis_testing: 5.641, usercpu_time_millis_training: 33.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.9151, kappa: 0.0448, kb_relative_information_score: -10863.0833, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9023, predictive_accuracy: 0.9376, prior_entropy: 0.3191, recall: 0.9376, relative_absolute_error: 0.7881, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.9373, scimark_benchmark: 1850.9136, usercpu_time_millis: 33.813, usercpu_time_millis_testing: 1.53, usercpu_time_millis_training: 32.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.9137, kappa: 0.0035, kb_relative_information_score: -10368.7897, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8942, predictive_accuracy: 0.9406, prior_entropy: 0.3191, recall: 0.9406, relative_absolute_error: 0.8227, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.9086, scimark_benchmark: 1850.4554, usercpu_time_millis: 21.354, usercpu_time_millis_testing: 1.423, usercpu_time_millis_training: 19.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.9246, kappa: 0.1987, kb_relative_information_score: -8018.9206, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9184, predictive_accuracy: 0.9378, prior_entropy: 0.3191, recall: 0.9378, relative_absolute_error: 0.7398, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.9409, scimark_benchmark: 1847.8629, usercpu_time_millis: 17.557, usercpu_time_millis_testing: 1.02, usercpu_time_millis_training: 16.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.914, kb_relative_information_score: -51.8629, 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: 1780.5794, usercpu_time_millis: 26.741, usercpu_time_millis_testing: 3.711, usercpu_time_millis_training: 23.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.914, kb_relative_information_score: -155.3447, 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: 1.0001, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1777.5629, usercpu_time_millis: 23.532, usercpu_time_millis_testing: 2.444, usercpu_time_millis_training: 21.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -14330.8615, mean_absolute_error: 0.1033, 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: 0.9468, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.9574, scimark_benchmark: 1136.3961, usercpu_time_millis: 411.77, usercpu_time_millis_testing: 24.321, usercpu_time_millis_training: 387.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, f_measure: 0.9253, kappa: 0.1598, kb_relative_information_score: -11161.0374, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9318, predictive_accuracy: 0.9451, prior_entropy: 0.3191, recall: 0.9451, relative_absolute_error: 0.8236, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.889, scimark_benchmark: 1849.3014, usercpu_time_millis: 212.254, usercpu_time_millis_testing: 4.469, usercpu_time_millis_training: 207.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.9263, kappa: 0.2376, kb_relative_information_score: -2376.4567, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9205, predictive_accuracy: 0.9366, prior_entropy: 0.3191, recall: 0.9366, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.9688, scimark_benchmark: 1128.6016, usercpu_time_millis: 167.558, usercpu_time_millis_testing: 11.87, usercpu_time_millis_training: 155.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.946, kappa: 0.4525, kb_relative_information_score: -4071.7845, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9444, predictive_accuracy: 0.9521, prior_entropy: 0.3191, recall: 0.9521, relative_absolute_error: 0.6924, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.8457, scimark_benchmark: 1834.1813, usercpu_time_millis: 140.367, usercpu_time_millis_testing: 4.104, usercpu_time_millis_training: 136.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.9239, kappa: 0.2069, kb_relative_information_score: -4903.5447, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9173, predictive_accuracy: 0.9352, prior_entropy: 0.3191, recall: 0.9352, relative_absolute_error: 0.6977, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2344, root_relative_squared_error: 1.0038, scimark_benchmark: 1847.7442, usercpu_time_millis: 112.676, usercpu_time_millis_testing: 5.367, usercpu_time_millis_training: 107.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.9232, kappa: 0.1687, kb_relative_information_score: -9189.6959, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9169, predictive_accuracy: 0.9387, prior_entropy: 0.3191, recall: 0.9387, relative_absolute_error: 0.756, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.9375, scimark_benchmark: 1827.4231, usercpu_time_millis: 113.801, usercpu_time_millis_testing: 9.091, usercpu_time_millis_training: 104.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, f_measure: 0.9159, kappa: 0.0252, kb_relative_information_score: -12296.3433, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9368, predictive_accuracy: 0.9428, prior_entropy: 0.3191, recall: 0.9428, relative_absolute_error: 0.8839, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.9061, scimark_benchmark: 1853.454, usercpu_time_millis: 94.732, usercpu_time_millis_testing: 3.986, usercpu_time_millis_training: 90.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8145, f_measure: 0.9297, kappa: 0.2635, kb_relative_information_score: -281.0481, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9252, predictive_accuracy: 0.9407, prior_entropy: 0.3191, recall: 0.9407, relative_absolute_error: 0.6341, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.9675, scimark_benchmark: 1833.7987, usercpu_time_millis: 90.802, usercpu_time_millis_testing: 6.649, usercpu_time_millis_training: 84.153,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.9191, kappa: 0.085, kb_relative_information_score: -7698.8301, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9156, predictive_accuracy: 0.9413, prior_entropy: 0.3191, recall: 0.9413, relative_absolute_error: 0.7758, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.8987, scimark_benchmark: 1828.2771, usercpu_time_millis: 68.74, usercpu_time_millis_testing: 4.489, usercpu_time_millis_training: 64.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.9306, kappa: 0.2527, kb_relative_information_score: -945.1173, mean_absolute_error: 0.0733, 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: 0.6723, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8929, scimark_benchmark: 1846.7639, usercpu_time_millis: 42.251, usercpu_time_millis_testing: 3.488, usercpu_time_millis_training: 38.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.914, kb_relative_information_score: 0.8961, 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: 1824.8123, usercpu_time_millis: 23.952, usercpu_time_millis_testing: 3.949, usercpu_time_millis_training: 20.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.9299, kappa: 0.222, kb_relative_information_score: -9823.8726, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9353, predictive_accuracy: 0.9468, prior_entropy: 0.3191, recall: 0.9468, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.8662, scimark_benchmark: 1853.9121, usercpu_time_millis: 23.886, usercpu_time_millis_testing: 0.702, usercpu_time_millis_training: 23.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, f_measure: 0.9259, kappa: 0.1782, kb_relative_information_score: -5832.4983, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9261, predictive_accuracy: 0.9437, prior_entropy: 0.3191, recall: 0.9437, relative_absolute_error: 0.7456, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.8973, scimark_benchmark: 1848.321, usercpu_time_millis: 11.38, usercpu_time_millis_testing: 0.507, usercpu_time_millis_training: 10.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6749, f_measure: 0.9301, kappa: 0.2739, kb_relative_information_score: 47.2589, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9254, predictive_accuracy: 0.9401, prior_entropy: 0.3191, recall: 0.9401, relative_absolute_error: 0.6218, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.9864, scimark_benchmark: 1837.8616, usercpu_time_millis: 14.006, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 13.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.914, kb_relative_information_score: -11.7798, 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: 1846.3057, usercpu_time_millis: 10.25, usercpu_time_millis_testing: 1.323, usercpu_time_millis_training: 8.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.915, kappa: 0.0294, kb_relative_information_score: -10660.3889, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9028, predictive_accuracy: 0.9397, prior_entropy: 0.3191, recall: 0.9397, relative_absolute_error: 0.8241, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.9191, scimark_benchmark: 1833.4702, usercpu_time_millis: 6.113, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 5.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.9301, kappa: 0.2651, kb_relative_information_score: -204.9364, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9258, predictive_accuracy: 0.9413, prior_entropy: 0.3191, recall: 0.9413, relative_absolute_error: 0.6391, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.9541, scimark_benchmark: 1727.5559, usercpu_time_millis: 154.384, usercpu_time_millis_testing: 9.621, usercpu_time_millis_training: 144.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7306, f_measure: 0.914, kb_relative_information_score: -14479.766, mean_absolute_error: 0.1063, 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: 0.9744, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.9818, scimark_benchmark: 1733.4264, usercpu_time_millis: 220.388, usercpu_time_millis_testing: 10.611, usercpu_time_millis_training: 209.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.9169, kappa: 0.0724, kb_relative_information_score: -10695.4092, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9069, predictive_accuracy: 0.9379, prior_entropy: 0.3191, recall: 0.9379, relative_absolute_error: 0.7833, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.9351, scimark_benchmark: 1722.7118, usercpu_time_millis: 70.733, usercpu_time_millis_testing: 3.944, usercpu_time_millis_training: 66.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -13077.2267, mean_absolute_error: 0.1022, 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: 0.9364, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2215, root_relative_squared_error: 0.9485, scimark_benchmark: 1713.9679, usercpu_time_millis: 287.117, usercpu_time_millis_testing: 19.717, usercpu_time_millis_training: 267.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.9188, kappa: 0.1068, kb_relative_information_score: -9224.2956, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9099, predictive_accuracy: 0.9371, prior_entropy: 0.3191, recall: 0.9371, relative_absolute_error: 0.7647, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.9537, scimark_benchmark: 1767.3501, usercpu_time_millis: 101.57, usercpu_time_millis_testing: 3.89, usercpu_time_millis_training: 97.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7542, f_measure: 0.9304, kappa: 0.2738, kb_relative_information_score: -173.527, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.926, predictive_accuracy: 0.941, prior_entropy: 0.3191, recall: 0.941, relative_absolute_error: 0.6268, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.229, root_relative_squared_error: 0.9806, scimark_benchmark: 1723.1219, usercpu_time_millis: 198.852, usercpu_time_millis_testing: 10.248, usercpu_time_millis_training: 188.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.9146, kappa: 0.0362, kb_relative_information_score: -11732.5984, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9008, predictive_accuracy: 0.9376, prior_entropy: 0.3191, recall: 0.9376, relative_absolute_error: 0.7904, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.9561, scimark_benchmark: 1742.406, usercpu_time_millis: 172.862, usercpu_time_millis_testing: 8.863, usercpu_time_millis_training: 163.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7093, f_measure: 0.9141, kappa: 0.001, kb_relative_information_score: -12774.5802, mean_absolute_error: 0.1067, 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: 0.9775, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.23, root_relative_squared_error: 0.985, scimark_benchmark: 1726.4869, usercpu_time_millis: 1.749, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 1.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, f_measure: 0.9188, kappa: 0.0659, kb_relative_information_score: -11806.0201, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9314, predictive_accuracy: 0.9435, prior_entropy: 0.3191, recall: 0.9435, relative_absolute_error: 0.8705, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.9063, scimark_benchmark: 1368.3489, usercpu_time_millis: 830.04, usercpu_time_millis_testing: 25.492, usercpu_time_millis_training: 804.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.9417, kappa: 0.3846, kb_relative_information_score: -6934.7902, mean_absolute_error: 0.0826, 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: 0.7568, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.8417, scimark_benchmark: 1373.8723, usercpu_time_millis: 196.256, usercpu_time_millis_testing: 11.574, usercpu_time_millis_training: 184.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7657, f_measure: 0.9267, kappa: 0.248, kb_relative_information_score: -2540.2486, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9211, predictive_accuracy: 0.936, prior_entropy: 0.3191, recall: 0.936, relative_absolute_error: 0.6659, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2337, root_relative_squared_error: 1.0007, scimark_benchmark: 1390.2242, usercpu_time_millis: 71.195, usercpu_time_millis_testing: 2.274, usercpu_time_millis_training: 68.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.914, kb_relative_information_score: -33.8623, 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: 1396.8301, usercpu_time_millis: 38.609, usercpu_time_millis_testing: 6.026, usercpu_time_millis_training: 32.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -13195.0947, mean_absolute_error: 0.0996, 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: 0.9129, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.9337, scimark_benchmark: 1378.8013, usercpu_time_millis: 398.246, usercpu_time_millis_testing: 19.066, usercpu_time_millis_training: 379.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -12740.439, mean_absolute_error: 0.0995, 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: 0.912, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.9302, scimark_benchmark: 1375.6999, usercpu_time_millis: 483.945, usercpu_time_millis_testing: 21.591, usercpu_time_millis_training: 462.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.9448, kappa: 0.4374, kb_relative_information_score: -5729.7406, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9432, predictive_accuracy: 0.9514, prior_entropy: 0.3191, recall: 0.9514, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.8507, scimark_benchmark: 1371.166, usercpu_time_millis: 919.476, usercpu_time_millis_testing: 29.945, usercpu_time_millis_training: 889.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.9307, kappa: 0.2782, kb_relative_information_score: 635.7441, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9262, predictive_accuracy: 0.9409, prior_entropy: 0.3191, recall: 0.9409, relative_absolute_error: 0.6224, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.9629, scimark_benchmark: 1373.3945, usercpu_time_millis: 318.153, usercpu_time_millis_testing: 16.095, usercpu_time_millis_training: 302.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7011, f_measure: 0.93, kappa: 0.269, kb_relative_information_score: -570.5096, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9254, predictive_accuracy: 0.9405, prior_entropy: 0.3191, recall: 0.9405, relative_absolute_error: 0.6308, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.9809, scimark_benchmark: 1372.7232, usercpu_time_millis: 123.989, usercpu_time_millis_testing: 7.217, usercpu_time_millis_training: 116.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.9289, kappa: 0.2538, kb_relative_information_score: -862.4451, mean_absolute_error: 0.0696, 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: 0.6383, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.9789, scimark_benchmark: 1371.2803, usercpu_time_millis: 229.995, usercpu_time_millis_testing: 13.042, usercpu_time_millis_training: 216.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7758, f_measure: 0.9252, kappa: 0.2222, kb_relative_information_score: -4046.1903, mean_absolute_error: 0.0744, 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: 0.6822, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.9973, scimark_benchmark: 1366.6018, usercpu_time_millis: 12.878, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 12.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.9445, kappa: 0.425, kb_relative_information_score: -5903.9715, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.944, predictive_accuracy: 0.9523, prior_entropy: 0.3191, recall: 0.9523, relative_absolute_error: 0.7306, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.8407, scimark_benchmark: 1379.8654, usercpu_time_millis: 424.863, usercpu_time_millis_testing: 11.809, usercpu_time_millis_training: 413.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -12507.8652, mean_absolute_error: 0.0996, 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: 0.9133, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.928, scimark_benchmark: 1374.6826, usercpu_time_millis: 173.022, usercpu_time_millis_testing: 13.767, usercpu_time_millis_training: 159.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6539, f_measure: 0.914, kb_relative_information_score: -8566.3915, mean_absolute_error: 0.1082, 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: 0.9915, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.232, root_relative_squared_error: 0.9935, scimark_benchmark: 1377.3914, usercpu_time_millis: 6.198, usercpu_time_millis_testing: 0.583, usercpu_time_millis_training: 5.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.9303, kappa: 0.2708, kb_relative_information_score: -518.1649, mean_absolute_error: 0.0689, 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: 0.6315, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.9798, scimark_benchmark: 1380.6177, usercpu_time_millis: 280.318, usercpu_time_millis_testing: 12.714, usercpu_time_millis_training: 267.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.9167, kappa: 0.0687, kb_relative_information_score: -11443.6211, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9064, predictive_accuracy: 0.9379, prior_entropy: 0.3191, recall: 0.9379, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.9417, scimark_benchmark: 1374.4276, usercpu_time_millis: 59.405, usercpu_time_millis_testing: 5.153, usercpu_time_millis_training: 54.252,

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