OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 31677 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9676, kappa: 0.9205, kb_relative_information_score: 29672.4328, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9676, predictive_accuracy: 0.9676, prior_entropy: 0.863, recall: 0.9676, relative_absolute_error: 0.1475, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.3563, scimark_benchmark: 1355.744, usercpu_time_millis: 1448.881, usercpu_time_millis_testing: 3.466, usercpu_time_millis_training: 1445.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -1.0879, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1360.118, usercpu_time_millis: 68.499, usercpu_time_millis_testing: 5.177, usercpu_time_millis_training: 63.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -4.8002, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1347.1666, usercpu_time_millis: 61.928, usercpu_time_millis_testing: 3.938, usercpu_time_millis_training: 57.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9169, kappa: 0.791, kb_relative_information_score: 24358.7562, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9219, predictive_accuracy: 0.9198, prior_entropy: 0.863, recall: 0.9198, relative_absolute_error: 0.3046, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.5197, scimark_benchmark: 1351.2843, usercpu_time_millis: 1959.493, usercpu_time_millis_testing: 8.352, usercpu_time_millis_training: 1951.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9551, kappa: 0.8899, kb_relative_information_score: 28521.6527, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9551, predictive_accuracy: 0.9552, prior_entropy: 0.863, recall: 0.9552, relative_absolute_error: 0.1784, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.4063, scimark_benchmark: 1355.4098, usercpu_time_millis: 17317.364, usercpu_time_millis_testing: 32.571, usercpu_time_millis_training: 17284.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9417, kappa: 0.8561, kb_relative_information_score: 26209.5772, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9416, predictive_accuracy: 0.9421, prior_entropy: 0.863, recall: 0.9421, relative_absolute_error: 0.2491, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.4657, scimark_benchmark: 1353.8339, usercpu_time_millis: 1856.936, usercpu_time_millis_testing: 12.149, usercpu_time_millis_training: 1844.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9677, kappa: 0.9207, kb_relative_information_score: 29664.843, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9676, predictive_accuracy: 0.9677, prior_entropy: 0.863, recall: 0.9677, relative_absolute_error: 0.1485, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.159, root_relative_squared_error: 0.352, scimark_benchmark: 1355.2558, usercpu_time_millis: 4503.459, usercpu_time_millis_testing: 24.206, usercpu_time_millis_training: 4479.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8739, kappa: 0.6916, kb_relative_information_score: 17299.2734, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8742, predictive_accuracy: 0.8736, prior_entropy: 0.863, recall: 0.8736, relative_absolute_error: 0.5216, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2959, root_relative_squared_error: 0.655, scimark_benchmark: 1353.746, usercpu_time_millis: 138.29, usercpu_time_millis_testing: 4.33, usercpu_time_millis_training: 133.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9443, kappa: 0.8629, kb_relative_information_score: 26776.141, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9442, predictive_accuracy: 0.9446, prior_entropy: 0.863, recall: 0.9446, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.4575, scimark_benchmark: 1350.1871, usercpu_time_millis: 7123.617, usercpu_time_millis_testing: 15.084, usercpu_time_millis_training: 7108.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9648, kappa: 0.9135, kb_relative_information_score: 29342.3656, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9647, predictive_accuracy: 0.9648, prior_entropy: 0.863, recall: 0.9648, relative_absolute_error: 0.1569, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3669, scimark_benchmark: 1734.7321, usercpu_time_millis: 983.658, usercpu_time_millis_testing: 5.419, usercpu_time_millis_training: 978.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9692, kappa: 0.9244, kb_relative_information_score: 29943.1432, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9692, predictive_accuracy: 0.9692, prior_entropy: 0.863, recall: 0.9692, relative_absolute_error: 0.1395, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.3443, scimark_benchmark: 1761.3076, usercpu_time_millis: 1277.06, usercpu_time_millis_testing: 6.223, usercpu_time_millis_training: 1270.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9592, kappa: 0.8999, kb_relative_information_score: 28499.7508, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9592, predictive_accuracy: 0.9594, prior_entropy: 0.863, recall: 0.9594, relative_absolute_error: 0.1831, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3956, scimark_benchmark: 1764.0569, usercpu_time_millis: 596.663, usercpu_time_millis_testing: 2.943, usercpu_time_millis_training: 593.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9651, kappa: 0.9144, kb_relative_information_score: 29399.9262, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9651, predictive_accuracy: 0.9652, prior_entropy: 0.863, recall: 0.9652, relative_absolute_error: 0.1556, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.3657, scimark_benchmark: 1728.0638, usercpu_time_millis: 3266.657, usercpu_time_millis_testing: 10.143, usercpu_time_millis_training: 3256.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.8578, kappa: 0.6543, kb_relative_information_score: 15542.4435, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8592, predictive_accuracy: 0.8568, prior_entropy: 0.863, recall: 0.8568, relative_absolute_error: 0.574, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.7434, scimark_benchmark: 1728.9285, usercpu_time_millis: 14.803, usercpu_time_millis_testing: 0.454, usercpu_time_millis_training: 14.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9551, kappa: 0.8899, kb_relative_information_score: 27627.6897, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9551, predictive_accuracy: 0.9552, prior_entropy: 0.863, recall: 0.9552, relative_absolute_error: 0.21, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.4159, scimark_benchmark: 1726.9824, usercpu_time_millis: 583.195, usercpu_time_millis_testing: 9.032, usercpu_time_millis_training: 574.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9292, kappa: 0.8234, kb_relative_information_score: 25023.1504, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9309, predictive_accuracy: 0.9307, prior_entropy: 0.863, recall: 0.9307, relative_absolute_error: 0.2818, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.5032, scimark_benchmark: 1723.9607, usercpu_time_millis: 2666.522, usercpu_time_millis_testing: 15.03, usercpu_time_millis_training: 2651.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9574, kappa: 0.8955, kb_relative_information_score: 28208.0678, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9574, predictive_accuracy: 0.9575, prior_entropy: 0.863, recall: 0.9575, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.4064, scimark_benchmark: 1734.8709, usercpu_time_millis: 2961.841, usercpu_time_millis_testing: 16.531, usercpu_time_millis_training: 2945.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9448, kappa: 0.864, kb_relative_information_score: 26661.0649, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9447, predictive_accuracy: 0.9451, prior_entropy: 0.863, recall: 0.9451, relative_absolute_error: 0.2344, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.4578, scimark_benchmark: 1750.3346, usercpu_time_millis: 3278.526, usercpu_time_millis_testing: 10.675, usercpu_time_millis_training: 3267.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8652, kappa: 0.6704, kb_relative_information_score: 16886.8117, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8655, predictive_accuracy: 0.8649, prior_entropy: 0.863, recall: 0.8649, relative_absolute_error: 0.5285, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.6915, scimark_benchmark: 1847.934, usercpu_time_millis: 16.948, usercpu_time_millis_testing: 0.532, usercpu_time_millis_training: 16.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9186, kappa: 0.7954, kb_relative_information_score: 24377.0266, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9232, predictive_accuracy: 0.9213, prior_entropy: 0.863, recall: 0.9213, relative_absolute_error: 0.3043, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.5193, scimark_benchmark: 1840.8272, usercpu_time_millis: 99.084, usercpu_time_millis_testing: 1.587, usercpu_time_millis_training: 97.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -8.4515, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1844.4224, usercpu_time_millis: 26.896, usercpu_time_millis_testing: 4.169, usercpu_time_millis_training: 22.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -6.6154, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 2010.3559, usercpu_time_millis: 4.908, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 4.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.873, kappa: 0.6898, kb_relative_information_score: 17446.5726, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8735, predictive_accuracy: 0.8726, prior_entropy: 0.863, recall: 0.8726, relative_absolute_error: 0.5159, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2965, root_relative_squared_error: 0.6564, scimark_benchmark: 1735.1968, usercpu_time_millis: 161.77, usercpu_time_millis_testing: 4.461, usercpu_time_millis_training: 157.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9218, kappa: 0.8033, kb_relative_information_score: 18384.373, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9275, predictive_accuracy: 0.9246, prior_entropy: 0.863, recall: 0.9246, relative_absolute_error: 0.527, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.6002, scimark_benchmark: 2000.634, usercpu_time_millis: 174.116, usercpu_time_millis_testing: 12.715, usercpu_time_millis_training: 161.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9514, kappa: 0.8797, kb_relative_information_score: 24521.7795, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9519, predictive_accuracy: 0.952, prior_entropy: 0.863, recall: 0.952, relative_absolute_error: 0.3249, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4628, scimark_benchmark: 2009.1888, usercpu_time_millis: 16.092, usercpu_time_millis_testing: 1.085, usercpu_time_millis_training: 15.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9559, kappa: 0.8917, kb_relative_information_score: 27444.7735, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9559, predictive_accuracy: 0.9561, prior_entropy: 0.863, recall: 0.9561, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.415, scimark_benchmark: 1729.5239, usercpu_time_millis: 534.839, usercpu_time_millis_testing: 17.536, usercpu_time_millis_training: 517.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9103, kappa: 0.7774, kb_relative_information_score: 22967.3733, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9104, predictive_accuracy: 0.9115, prior_entropy: 0.863, recall: 0.9115, relative_absolute_error: 0.3481, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.5502, scimark_benchmark: 1734.2259, usercpu_time_millis: 1148.391, usercpu_time_millis_testing: 9.826, usercpu_time_millis_training: 1138.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.964, kappa: 0.9117, kb_relative_information_score: 29210.3192, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.964, predictive_accuracy: 0.9641, prior_entropy: 0.863, recall: 0.9641, relative_absolute_error: 0.1611, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.3714, scimark_benchmark: 1737.319, usercpu_time_millis: 1663.182, usercpu_time_millis_testing: 8.627, usercpu_time_millis_training: 1654.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9528, kappa: 0.8841, kb_relative_information_score: 27448.8932, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9527, predictive_accuracy: 0.9529, prior_entropy: 0.863, recall: 0.9529, relative_absolute_error: 0.2141, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.4274, scimark_benchmark: 1797.3955, usercpu_time_millis: 1202.529, usercpu_time_millis_testing: 12.989, usercpu_time_millis_training: 1189.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8677, kappa: 0.6787, kb_relative_information_score: 17570.5258, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8694, predictive_accuracy: 0.8666, prior_entropy: 0.863, recall: 0.8666, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.6816, scimark_benchmark: 1228.324, usercpu_time_millis: 361.579, usercpu_time_millis_testing: 5.259, usercpu_time_millis_training: 356.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9364, kappa: 0.8416, kb_relative_information_score: 20428.2734, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9378, predictive_accuracy: 0.9376, prior_entropy: 0.863, recall: 0.9376, relative_absolute_error: 0.4533, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2525, root_relative_squared_error: 0.5589, scimark_benchmark: 1254.2217, usercpu_time_millis: 312.324, usercpu_time_millis_testing: 18.24, usercpu_time_millis_training: 294.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9314, kappa: 0.8277, kb_relative_information_score: 19245.1222, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9357, predictive_accuracy: 0.9335, prior_entropy: 0.863, recall: 0.9335, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.579, scimark_benchmark: 1265.3452, usercpu_time_millis: 353.171, usercpu_time_millis_testing: 26.987, usercpu_time_millis_training: 326.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9521, kappa: 0.8821, kb_relative_information_score: 26866.8417, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.952, predictive_accuracy: 0.9523, prior_entropy: 0.863, recall: 0.9523, relative_absolute_error: 0.2355, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.4327, scimark_benchmark: 1190.3337, usercpu_time_millis: 1324.439, usercpu_time_millis_testing: 28.465, usercpu_time_millis_training: 1295.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9666, kappa: 0.918, kb_relative_information_score: 29436.2091, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9665, predictive_accuracy: 0.9666, prior_entropy: 0.863, recall: 0.9666, relative_absolute_error: 0.1561, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.161, root_relative_squared_error: 0.3565, scimark_benchmark: 1264.5042, usercpu_time_millis: 1367.346, usercpu_time_millis_testing: 14.4, usercpu_time_millis_training: 1352.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9254, kappa: 0.8137, kb_relative_information_score: 23742.2932, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9274, predictive_accuracy: 0.9271, prior_entropy: 0.863, recall: 0.9271, relative_absolute_error: 0.3357, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.5105, scimark_benchmark: 1274.9746, usercpu_time_millis: 171.717, usercpu_time_millis_testing: 4.438, usercpu_time_millis_training: 167.279,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9582, kappa: 0.8973, kb_relative_information_score: 28373.3216, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9581, predictive_accuracy: 0.9583, prior_entropy: 0.863, recall: 0.9583, relative_absolute_error: 0.1871, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.3982, scimark_benchmark: 1849.8294, usercpu_time_millis: 286.421, usercpu_time_millis_testing: 2.258, usercpu_time_millis_training: 284.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.966, kappa: 0.9166, kb_relative_information_score: 29386.4273, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.966, predictive_accuracy: 0.9661, prior_entropy: 0.863, recall: 0.9661, relative_absolute_error: 0.1574, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.3593, scimark_benchmark: 1845.2262, usercpu_time_millis: 327.505, usercpu_time_millis_testing: 3.478, usercpu_time_millis_training: 324.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9681, kappa: 0.9217, kb_relative_information_score: 29725.4367, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.968, predictive_accuracy: 0.9681, prior_entropy: 0.863, recall: 0.9681, relative_absolute_error: 0.1462, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.159, root_relative_squared_error: 0.352, scimark_benchmark: 1845.264, usercpu_time_millis: 922.378, usercpu_time_millis_testing: 3.703, usercpu_time_millis_training: 918.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9575, kappa: 0.8957, kb_relative_information_score: 28223.6127, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9575, predictive_accuracy: 0.9576, prior_entropy: 0.863, recall: 0.9576, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.4026, scimark_benchmark: 1842.598, usercpu_time_millis: 1250.88, usercpu_time_millis_testing: 13.323, usercpu_time_millis_training: 1237.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9649, kappa: 0.914, kb_relative_information_score: 29706.4096, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.965, prior_entropy: 0.863, recall: 0.965, relative_absolute_error: 0.1434, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.3673, scimark_benchmark: 1847.612, usercpu_time_millis: 1639.141, usercpu_time_millis_testing: 3.409, usercpu_time_millis_training: 1635.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9139, kappa: 0.7832, kb_relative_information_score: 24370.577, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9192, predictive_accuracy: 0.917, prior_entropy: 0.863, recall: 0.917, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.5367, scimark_benchmark: 1773.5694, usercpu_time_millis: 3610.264, usercpu_time_millis_testing: 10.803, usercpu_time_millis_training: 3599.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.858, kappa: 0.6523, kb_relative_information_score: 15561.3776, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8579, prior_entropy: 0.863, recall: 0.8579, relative_absolute_error: 0.5755, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.7381, scimark_benchmark: 1855.4813, usercpu_time_millis: 113.208, usercpu_time_millis_testing: 3.907, usercpu_time_millis_training: 109.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.8646, kappa: 0.6687, kb_relative_information_score: 16779.4961, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8648, predictive_accuracy: 0.8644, prior_entropy: 0.863, recall: 0.8644, relative_absolute_error: 0.5325, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3101, root_relative_squared_error: 0.6864, scimark_benchmark: 1848.7762, usercpu_time_millis: 209.885, usercpu_time_millis_testing: 5.469, usercpu_time_millis_training: 204.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9632, kappa: 0.9095, kb_relative_information_score: 28761.4144, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9631, predictive_accuracy: 0.9632, prior_entropy: 0.863, recall: 0.9632, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.3771, scimark_benchmark: 1848.916, usercpu_time_millis: 153.065, usercpu_time_millis_testing: 3.974, usercpu_time_millis_training: 149.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8986, kappa: 0.7491, kb_relative_information_score: 16452.9868, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8984, predictive_accuracy: 0.8998, prior_entropy: 0.863, recall: 0.8998, relative_absolute_error: 0.5535, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.6541, scimark_benchmark: 1851.4874, usercpu_time_millis: 26.204, usercpu_time_millis_testing: 0.976, usercpu_time_millis_training: 25.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9262, kappa: 0.816, kb_relative_information_score: 20124.3095, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9275, predictive_accuracy: 0.9276, prior_entropy: 0.863, recall: 0.9276, relative_absolute_error: 0.4556, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.5709, scimark_benchmark: 1849.8294, usercpu_time_millis: 98.49, usercpu_time_millis_testing: 6.434, usercpu_time_millis_training: 92.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.8661, kappa: 0.6716, kb_relative_information_score: 16019.1145, mean_absolute_error: 0.2289, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.866, predictive_accuracy: 0.8662, prior_entropy: 0.863, recall: 0.8662, relative_absolute_error: 0.5608, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6846, scimark_benchmark: 1850.4154, usercpu_time_millis: 139.751, usercpu_time_millis_testing: 4.733, usercpu_time_millis_training: 135.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9528, kappa: 0.8842, kb_relative_information_score: 27349.9461, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9528, predictive_accuracy: 0.9529, prior_entropy: 0.863, recall: 0.9529, relative_absolute_error: 0.2171, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4289, scimark_benchmark: 1844.7928, usercpu_time_millis: 318.532, usercpu_time_millis_testing: 3.414, usercpu_time_millis_training: 315.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9159, kappa: 0.7884, kb_relative_information_score: 24360.1989, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9213, predictive_accuracy: 0.9189, prior_entropy: 0.863, recall: 0.9189, relative_absolute_error: 0.3027, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.5233, scimark_benchmark: 1852.0126, usercpu_time_millis: 711.487, usercpu_time_millis_testing: 4.542, usercpu_time_millis_training: 706.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9189, kappa: 0.7962, kb_relative_information_score: 24665.5311, mean_absolute_error: 0.1189, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9231, predictive_accuracy: 0.9215, prior_entropy: 0.863, recall: 0.9215, relative_absolute_error: 0.2914, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.5155, scimark_benchmark: 1837.7149, usercpu_time_millis: 730.18, usercpu_time_millis_testing: 3.427, usercpu_time_millis_training: 726.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9455, kappa: 0.8659, kb_relative_information_score: 26916.8577, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9454, predictive_accuracy: 0.9457, prior_entropy: 0.863, recall: 0.9457, relative_absolute_error: 0.2268, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.204, root_relative_squared_error: 0.4516, scimark_benchmark: 1853.454, usercpu_time_millis: 730.95, usercpu_time_millis_testing: 1.861, usercpu_time_millis_training: 729.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9345, kappa: 0.8373, kb_relative_information_score: 25456.6401, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9352, predictive_accuracy: 0.9355, prior_entropy: 0.863, recall: 0.9355, relative_absolute_error: 0.271, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.4896, scimark_benchmark: 1840.7617, usercpu_time_millis: 888.82, usercpu_time_millis_testing: 12.619, usercpu_time_millis_training: 876.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9395, kappa: 0.8502, kb_relative_information_score: 26014.0968, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9398, predictive_accuracy: 0.9402, prior_entropy: 0.863, recall: 0.9402, relative_absolute_error: 0.2551, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.4731, scimark_benchmark: 1850.2875, usercpu_time_millis: 1031.301, usercpu_time_millis_testing: 12.23, usercpu_time_millis_training: 1019.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9599, kappa: 0.9017, kb_relative_information_score: 28734.4674, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9599, predictive_accuracy: 0.96, prior_entropy: 0.863, recall: 0.96, relative_absolute_error: 0.1751, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.176, root_relative_squared_error: 0.3897, scimark_benchmark: 1849.7595, usercpu_time_millis: 2158.373, usercpu_time_millis_testing: 9.446, usercpu_time_millis_training: 2148.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9604, kappa: 0.9029, kb_relative_information_score: 28823.6125, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9604, predictive_accuracy: 0.9605, prior_entropy: 0.863, recall: 0.9605, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.388, scimark_benchmark: 1847.3406, usercpu_time_millis: 2635.786, usercpu_time_millis_testing: 6.739, usercpu_time_millis_training: 2629.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9372, kappa: 0.8445, kb_relative_information_score: 25894.317, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9376, predictive_accuracy: 0.938, prior_entropy: 0.863, recall: 0.938, relative_absolute_error: 0.2572, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.4777, scimark_benchmark: 1846.3057, usercpu_time_millis: 924.609, usercpu_time_millis_testing: 5.749, usercpu_time_millis_training: 918.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9653, kappa: 0.915, kb_relative_information_score: 29472.4151, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9653, predictive_accuracy: 0.9654, prior_entropy: 0.863, recall: 0.9654, relative_absolute_error: 0.1525, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.3641, scimark_benchmark: 1852.0126, usercpu_time_millis: 1813.738, usercpu_time_millis_testing: 7.742, usercpu_time_millis_training: 1805.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9384, kappa: 0.8477, kb_relative_information_score: 26140.2955, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9385, predictive_accuracy: 0.939, prior_entropy: 0.863, recall: 0.939, relative_absolute_error: 0.2499, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.4695, scimark_benchmark: 1893.9118, usercpu_time_millis: 1763.207, usercpu_time_millis_testing: 9.641, usercpu_time_millis_training: 1753.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9529, kappa: 0.8844, kb_relative_information_score: 27540.8355, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9529, predictive_accuracy: 0.953, prior_entropy: 0.863, recall: 0.953, relative_absolute_error: 0.2114, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.4261, scimark_benchmark: 1832.3702, usercpu_time_millis: 2298.664, usercpu_time_millis_testing: 17.996, usercpu_time_millis_training: 2280.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9451, kappa: 0.8651, kb_relative_information_score: 27039.5931, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9451, predictive_accuracy: 0.9454, prior_entropy: 0.863, recall: 0.9454, relative_absolute_error: 0.2231, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.203, root_relative_squared_error: 0.4494, scimark_benchmark: 1843.3036, usercpu_time_millis: 2555.967, usercpu_time_millis_testing: 7.885, usercpu_time_millis_training: 2548.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9478, kappa: 0.8718, kb_relative_information_score: 27006.4204, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9477, predictive_accuracy: 0.9479, prior_entropy: 0.863, recall: 0.9479, relative_absolute_error: 0.2257, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.4446, scimark_benchmark: 1729.2681, usercpu_time_millis: 3147.949, usercpu_time_millis_testing: 12.879, usercpu_time_millis_training: 3135.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.96, kappa: 0.9018, kb_relative_information_score: 28574.2367, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9599, predictive_accuracy: 0.96, prior_entropy: 0.863, recall: 0.96, relative_absolute_error: 0.1802, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.3911, scimark_benchmark: 1825.3844, usercpu_time_millis: 3330.432, usercpu_time_millis_testing: 16.697, usercpu_time_millis_training: 3313.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -7.056, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1798.9476, usercpu_time_millis: 56.544, usercpu_time_millis_testing: 2.689, usercpu_time_millis_training: 53.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.8667, kappa: 0.673, kb_relative_information_score: 15634.6664, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8666, predictive_accuracy: 0.8669, prior_entropy: 0.863, recall: 0.8669, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6863, scimark_benchmark: 1833.7788, usercpu_time_millis: 141.143, usercpu_time_millis_testing: 4.796, usercpu_time_millis_training: 136.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.8868, kappa: 0.7127, kb_relative_information_score: 12982.7312, mean_absolute_error: 0.2709, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8976, predictive_accuracy: 0.8929, prior_entropy: 0.863, recall: 0.8929, relative_absolute_error: 0.6639, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.7183, scimark_benchmark: 1063.6094, usercpu_time_millis: 171.246, usercpu_time_millis_testing: 14.318, usercpu_time_millis_training: 156.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -1.9917, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1847.8629, usercpu_time_millis: 15.818, usercpu_time_millis_testing: 1.525, usercpu_time_millis_training: 14.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9619, kappa: 0.9064, kb_relative_information_score: 28681.3331, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9618, predictive_accuracy: 0.962, prior_entropy: 0.863, recall: 0.962, relative_absolute_error: 0.1787, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.3839, scimark_benchmark: 1844.2676, usercpu_time_millis: 555.598, usercpu_time_millis_testing: 10.431, usercpu_time_millis_training: 545.167,

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