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OpenML
OpenML
Supervised Classification on mfeat-pixel

Supervised Classification on mfeat-pixel

Task 20 Supervised Classification mfeat-pixel 12158 runs submitted
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  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 under100k under1m
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12158 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.961, kappa: 0.9567, kb_relative_information_score: 1924.8592, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.963, predictive_accuracy: 0.961, prior_entropy: 3.3219, recall: 0.961, relative_absolute_error: 0.0578, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.2524, scimark_benchmark: 1335.643, usercpu_time_millis: 9320, usercpu_time_millis_testing: 9320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.979, kappa: 0.9767, kb_relative_information_score: 596.2955, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9791, predictive_accuracy: 0.979, prior_entropy: 3.3219, recall: 0.979, relative_absolute_error: 0.8902, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.9086, scimark_benchmark: 944.5495, usercpu_time_millis: 225200, usercpu_time_millis_testing: 205650, usercpu_time_millis_training: 19550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.977, kappa: 0.9744, kb_relative_information_score: 595.3417, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9773, predictive_accuracy: 0.977, prior_entropy: 3.3219, recall: 0.977, relative_absolute_error: 0.8904, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.9082, scimark_benchmark: 894.7222, usercpu_time_millis: 6900, usercpu_time_millis_testing: 910, usercpu_time_millis_training: 5990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.958, kappa: 0.9533, kb_relative_information_score: 1917.5778, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9583, predictive_accuracy: 0.958, prior_entropy: 3.3219, recall: 0.958, relative_absolute_error: 0.0516, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.2747, scimark_benchmark: 932.5646, usercpu_time_millis: 242400, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 241950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9645, kappa: 0.9606, kb_relative_information_score: 1925.7512, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9647, predictive_accuracy: 0.9645, prior_entropy: 3.3219, recall: 0.9645, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.2809, scimark_benchmark: 1250.8301, usercpu_time_millis: 700, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9595, kappa: 0.955, kb_relative_information_score: 1917.602, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9598, predictive_accuracy: 0.9595, prior_entropy: 3.3219, recall: 0.9595, relative_absolute_error: 0.0452, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0876, root_relative_squared_error: 0.2921, scimark_benchmark: 1363.434, usercpu_time_millis: 39660, usercpu_time_millis_testing: 37730, usercpu_time_millis_training: 1930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9376, kappa: 0.9306, kb_relative_information_score: 1870.4422, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9386, predictive_accuracy: 0.9375, prior_entropy: 3.3219, recall: 0.9375, relative_absolute_error: 0.0701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.3662, scimark_benchmark: 1337.7959, usercpu_time_millis: 340, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9345, kappa: 0.9272, kb_relative_information_score: 1864.848, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9353, predictive_accuracy: 0.9345, prior_entropy: 3.3219, recall: 0.9345, relative_absolute_error: 0.0731, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1122, root_relative_squared_error: 0.3739, scimark_benchmark: 1307.4861, usercpu_time_millis: 2233320, usercpu_time_millis_testing: 5670, usercpu_time_millis_training: 2227650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.66, kappa: 0.6228, kb_relative_information_score: 1311.234, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6626, predictive_accuracy: 0.6605, prior_entropy: 3.3219, recall: 0.6605, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.826, scimark_benchmark: 1307.4861, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.7391, kappa: 0.7072, kb_relative_information_score: 1427.0756, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7436, predictive_accuracy: 0.7365, prior_entropy: 3.3219, recall: 0.7365, relative_absolute_error: 0.3624, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.6652, scimark_benchmark: 1319.6463, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.8585, kappa: 0.8428, kb_relative_information_score: 1689.0932, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8597, predictive_accuracy: 0.8585, prior_entropy: 3.3219, recall: 0.8585, relative_absolute_error: 0.1848, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.5329, scimark_benchmark: 1361.1055, usercpu_time_millis: 39690, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 39680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.8481, kappa: 0.8306, kb_relative_information_score: 1681.044, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.863, predictive_accuracy: 0.8475, prior_entropy: 3.3219, recall: 0.8475, relative_absolute_error: 0.1694, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.5821, scimark_benchmark: 1353.6735, usercpu_time_millis: 16020, usercpu_time_millis_testing: 10160, usercpu_time_millis_training: 5860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5039, f_measure: 0.0321, kappa: 0.0078, kb_relative_information_score: 132.2771, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6101, predictive_accuracy: 0.107, prior_entropy: 3.3219, recall: 0.107, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4226, root_relative_squared_error: 1.4087, scimark_benchmark: 1384.4418, usercpu_time_millis: 9430, usercpu_time_millis_testing: 2060, usercpu_time_millis_training: 7370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.8357, kappa: 0.8167, kb_relative_information_score: 1644.1751, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8372, predictive_accuracy: 0.835, prior_entropy: 3.3219, recall: 0.835, relative_absolute_error: 0.206, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.171, root_relative_squared_error: 0.57, scimark_benchmark: 1341.2341, usercpu_time_millis: 1030, usercpu_time_millis_training: 1030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.4576, kappa: 0.375, kb_relative_information_score: 823.5228, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5603, predictive_accuracy: 0.4375, prior_entropy: 3.3219, recall: 0.4375, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3354, root_relative_squared_error: 1.118, scimark_benchmark: 1466.6185, usercpu_time_millis: 5930, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5733, f_measure: 0.1438, kappa: 0.1467, kb_relative_information_score: 393.7165, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.1266, predictive_accuracy: 0.232, prior_entropy: 3.3219, recall: 0.232, relative_absolute_error: 0.8533, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3919, root_relative_squared_error: 1.3064, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.8698, kappa: 0.8556, kb_relative_information_score: 1728.1031, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.87, predictive_accuracy: 0.87, prior_entropy: 3.3219, recall: 0.87, relative_absolute_error: 0.1444, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.5375, scimark_benchmark: 1028.5889, usercpu_time_millis: 19040, usercpu_time_millis_training: 19040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.7831, kappa: 0.7578, kb_relative_information_score: 1550.8316, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7855, predictive_accuracy: 0.782, prior_entropy: 3.3219, recall: 0.782, relative_absolute_error: 0.269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.19, root_relative_squared_error: 0.6333, scimark_benchmark: 977.6382, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9473, kappa: 0.9417, kb_relative_information_score: 1890.5446, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9479, predictive_accuracy: 0.9475, prior_entropy: 3.3219, recall: 0.9475, relative_absolute_error: 0.0593, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1014, root_relative_squared_error: 0.338, scimark_benchmark: 945.6434, usercpu_time_millis: 13550, usercpu_time_millis_testing: 4620, usercpu_time_millis_training: 8930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9422, kappa: 0.9361, kb_relative_information_score: 1880.7409, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9434, predictive_accuracy: 0.9425, prior_entropy: 3.3219, recall: 0.9425, relative_absolute_error: 0.0638, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.106, root_relative_squared_error: 0.3533, scimark_benchmark: 922.9039, usercpu_time_millis: 25660, usercpu_time_millis_testing: 9020, usercpu_time_millis_training: 16640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9367, kappa: 0.93, kb_relative_information_score: 1870.3843, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9379, predictive_accuracy: 0.937, prior_entropy: 3.3219, recall: 0.937, relative_absolute_error: 0.0693, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1108, root_relative_squared_error: 0.3692, scimark_benchmark: 911.0478, usercpu_time_millis: 52020, usercpu_time_millis_testing: 18390, usercpu_time_millis_training: 33630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9327, kappa: 0.9256, kb_relative_information_score: 1860.4354, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9338, predictive_accuracy: 0.933, prior_entropy: 3.3219, recall: 0.933, relative_absolute_error: 0.0744, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.3846, scimark_benchmark: 943.2817, usercpu_time_millis: 120590, usercpu_time_millis_testing: 55860, usercpu_time_millis_training: 64730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7121, f_measure: 0.0766, kappa: 0.1033, kb_relative_information_score: 440.4985, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0614, predictive_accuracy: 0.193, prior_entropy: 3.3219, recall: 0.193, relative_absolute_error: 0.9275, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.9639, scimark_benchmark: 922.9039, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7121, f_measure: 0.0766, kappa: 0.1033, kb_relative_information_score: 440.4985, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0614, predictive_accuracy: 0.193, prior_entropy: 3.3219, recall: 0.193, relative_absolute_error: 0.9275, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.9639, scimark_benchmark: 938.4278, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7121, f_measure: 0.0766, kappa: 0.1033, kb_relative_information_score: 440.4985, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0614, predictive_accuracy: 0.193, prior_entropy: 3.3219, recall: 0.193, relative_absolute_error: 0.9275, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.9639, scimark_benchmark: 876.8277, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7121, f_measure: 0.0766, kappa: 0.1033, kb_relative_information_score: 440.4985, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0614, predictive_accuracy: 0.193, prior_entropy: 3.3219, recall: 0.193, relative_absolute_error: 0.9275, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.9639, scimark_benchmark: 939.7623, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7121, f_measure: 0.0766, kappa: 0.1033, kb_relative_information_score: 440.4985, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0614, predictive_accuracy: 0.193, prior_entropy: 3.3219, recall: 0.193, relative_absolute_error: 0.9275, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.9639, scimark_benchmark: 933.8635, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9635, kappa: 0.9594, kb_relative_information_score: 1926.8602, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9638, predictive_accuracy: 0.9635, prior_entropy: 3.3219, recall: 0.9635, relative_absolute_error: 0.0427, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.2661, scimark_benchmark: 924.6116, usercpu_time_millis: 22540, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 22530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.96, kappa: 0.9556, kb_relative_information_score: 1918.4867, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9603, predictive_accuracy: 0.96, prior_entropy: 3.3219, recall: 0.96, relative_absolute_error: 0.051, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0814, root_relative_squared_error: 0.2712, scimark_benchmark: 924.6116, usercpu_time_millis: 11160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 11150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9505, kappa: 0.945, kb_relative_information_score: 1896.3581, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9509, predictive_accuracy: 0.9505, prior_entropy: 3.3219, recall: 0.9505, relative_absolute_error: 0.0712, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.2887, scimark_benchmark: 910.8389, usercpu_time_millis: 8030, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 8020,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9171, kappa: 0.9078, kb_relative_information_score: 1792.4513, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9176, predictive_accuracy: 0.917, prior_entropy: 3.3219, recall: 0.917, relative_absolute_error: 0.1615, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1101, root_relative_squared_error: 0.367, scimark_benchmark: 938.9865, usercpu_time_millis: 1980, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1970,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, build_cpu_time: 15.6141, build_memory: 453798940.8, f_measure: 0.9317, kappa: 0.9244, kb_relative_information_score: 1859.6931, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.933, predictive_accuracy: 0.932, prior_entropy: 3.3219, recall: 0.932, relative_absolute_error: 0.0758, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.3816, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, build_cpu_time: 29.479, build_memory: 327070255.2, f_measure: 0.9306, kappa: 0.9233, kb_relative_information_score: 1855.8845, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.932, predictive_accuracy: 0.931, prior_entropy: 3.3219, recall: 0.931, relative_absolute_error: 0.077, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.117, root_relative_squared_error: 0.39, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, build_cpu_time: 60.2088, build_memory: 901247254.4, f_measure: 0.9271, kappa: 0.9194, kb_relative_information_score: 1848.2189, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9283, predictive_accuracy: 0.9275, prior_entropy: 3.3219, recall: 0.9275, relative_absolute_error: 0.0809, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1203, root_relative_squared_error: 0.4011, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, build_cpu_time: 968.7428, build_memory: 454266225.6, f_measure: 0.9008, kappa: 0.8894, kb_relative_information_score: 1747.2068, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9019, predictive_accuracy: 0.9005, prior_entropy: 3.3219, recall: 0.9005, relative_absolute_error: 0.1893, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1219, root_relative_squared_error: 0.4062, scimark_benchmark: 892.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, build_cpu_time: 1651.7029, build_memory: 745168824.8, f_measure: 0.9185, kappa: 0.9094, kb_relative_information_score: 1820.7265, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9191, predictive_accuracy: 0.9185, prior_entropy: 3.3219, recall: 0.9185, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.3772, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, build_cpu_time: 60962.0626, build_memory: 1141929260, f_measure: 0.966, kappa: 0.9622, kb_relative_information_score: 1929.6236, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9662, predictive_accuracy: 0.966, prior_entropy: 3.3219, recall: 0.966, relative_absolute_error: 0.0375, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.082, root_relative_squared_error: 0.2732, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, build_cpu_time: 2457.4142, build_memory: 901244743.2, f_measure: 0.925, kappa: 0.9167, kb_relative_information_score: 1837.4146, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9255, predictive_accuracy: 0.925, prior_entropy: 3.3219, recall: 0.925, relative_absolute_error: 0.1072, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.3636, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, build_cpu_time: 2941.7249, build_memory: 92155080, f_measure: 0.9285, kappa: 0.9206, kb_relative_information_score: 1842.0353, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9289, predictive_accuracy: 0.9285, prior_entropy: 3.3219, recall: 0.9285, relative_absolute_error: 0.1039, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.108, root_relative_squared_error: 0.36, scimark_benchmark: 941.6106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, build_cpu_time: 3757.7955, build_memory: 61099610.4, f_measure: 0.9284, kappa: 0.9206, kb_relative_information_score: 1841.5826, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9289, predictive_accuracy: 0.9285, prior_entropy: 3.3219, recall: 0.9285, relative_absolute_error: 0.1039, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.3606, scimark_benchmark: 933.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, build_cpu_time: 16959.7629, build_memory: 743762962.4, f_measure: 0.964, kappa: 0.96, kb_relative_information_score: 1924.7441, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9641, predictive_accuracy: 0.964, prior_entropy: 3.3219, recall: 0.964, relative_absolute_error: 0.0402, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.282, scimark_benchmark: 942.0791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, build_cpu_time: 8205.6095, build_memory: 761288665.6, f_measure: 0.9625, kappa: 0.9583, kb_relative_information_score: 1922.5644, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9626, predictive_accuracy: 0.9625, prior_entropy: 3.3219, recall: 0.9625, relative_absolute_error: 0.0418, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.2843, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, build_cpu_time: 4346.0022, build_memory: 740863915.2, f_measure: 0.9625, kappa: 0.9583, kb_relative_information_score: 1924.1896, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9627, predictive_accuracy: 0.9625, prior_entropy: 3.3219, recall: 0.9625, relative_absolute_error: 0.0415, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0844, root_relative_squared_error: 0.2814, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, build_cpu_time: 549.5321, build_memory: 250370356, f_measure: 0.9256, kappa: 0.9172, kb_relative_information_score: 1760.359, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.926, predictive_accuracy: 0.9255, prior_entropy: 3.3219, recall: 0.9255, relative_absolute_error: 0.1931, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.3651, scimark_benchmark: 922.3661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, build_cpu_time: 1062.628, build_memory: 541395753.6, f_measure: 0.942, kappa: 0.9356, kb_relative_information_score: 1821.7948, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9423, predictive_accuracy: 0.942, prior_entropy: 3.3219, recall: 0.942, relative_absolute_error: 0.1396, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0983, root_relative_squared_error: 0.3275, scimark_benchmark: 914.1182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, build_cpu_time: 1203.1758, build_memory: 1111994162.4, f_measure: 0.944, kappa: 0.9378, kb_relative_information_score: 1831.8847, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9443, predictive_accuracy: 0.944, prior_entropy: 3.3219, recall: 0.944, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.322, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, build_cpu_time: 1183.1931, build_memory: 606680780.8, f_measure: 0.944, kappa: 0.9378, kb_relative_information_score: 1831.8847, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9443, predictive_accuracy: 0.944, prior_entropy: 3.3219, recall: 0.944, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.322, scimark_benchmark: 942.0692,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, build_cpu_time: 335.2951, build_memory: 1013770186.4, f_measure: 0.9701, kappa: 0.9667, kb_relative_information_score: 1938.2804, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9703, predictive_accuracy: 0.97, prior_entropy: 3.3219, recall: 0.97, relative_absolute_error: 0.033, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.2541, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, build_cpu_time: 176.3013, build_memory: 1713395979.2, f_measure: 0.9671, kappa: 0.9633, kb_relative_information_score: 1931.0448, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9673, predictive_accuracy: 0.967, prior_entropy: 3.3219, recall: 0.967, relative_absolute_error: 0.0373, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.2681, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, build_cpu_time: 86.3997, build_memory: 469014501.6, f_measure: 0.967, kappa: 0.9633, kb_relative_information_score: 1932.3877, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9672, predictive_accuracy: 0.967, prior_entropy: 3.3219, recall: 0.967, relative_absolute_error: 0.037, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0789, root_relative_squared_error: 0.2631, scimark_benchmark: 919.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, build_cpu_time: 39.2479, build_memory: 982641244, f_measure: 0.9631, kappa: 0.9589, kb_relative_information_score: 1927.1823, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9633, predictive_accuracy: 0.963, prior_entropy: 3.3219, recall: 0.963, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.2722, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, build_cpu_time: 21.0332, build_memory: 1459193408.8, f_measure: 0.9551, kappa: 0.95, kb_relative_information_score: 1906.3229, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9553, predictive_accuracy: 0.955, prior_entropy: 3.3219, recall: 0.955, relative_absolute_error: 0.0532, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.3012, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, build_cpu_time: 1.4207, build_memory: 492346736.8, f_measure: 0.9162, kappa: 0.9067, kb_relative_information_score: 1830.8783, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9168, predictive_accuracy: 0.916, prior_entropy: 3.3219, recall: 0.916, relative_absolute_error: 0.0964, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1214, root_relative_squared_error: 0.4045, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, build_cpu_time: 2.7554, build_memory: 100383634.4, f_measure: 0.938, kappa: 0.9311, kb_relative_information_score: 1870.3439, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9383, predictive_accuracy: 0.938, prior_entropy: 3.3219, recall: 0.938, relative_absolute_error: 0.072, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.3622, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, build_cpu_time: 5.3148, build_memory: 692489172, f_measure: 0.9481, kappa: 0.9422, kb_relative_information_score: 1893.6122, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9484, predictive_accuracy: 0.948, prior_entropy: 3.3219, recall: 0.948, relative_absolute_error: 0.058, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.099, root_relative_squared_error: 0.33, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, build_cpu_time: 11.7971, build_memory: 376723676, f_measure: 0.9546, kappa: 0.9494, kb_relative_information_score: 1905.431, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9549, predictive_accuracy: 0.9545, prior_entropy: 3.3219, recall: 0.9545, relative_absolute_error: 0.051, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.3143, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, build_cpu_time: 21.6576, build_memory: 663752592.8, f_measure: 0.958, kappa: 0.9533, kb_relative_information_score: 1912.9418, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9584, predictive_accuracy: 0.958, prior_entropy: 3.3219, recall: 0.958, relative_absolute_error: 0.0465, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.091, root_relative_squared_error: 0.3032, scimark_benchmark: 939.7233,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs