OpenML
Supervised Classification on optdigits

Supervised Classification on optdigits

Task 3843 Supervised Classification optdigits 559 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, build_cpu_time: 39.6617, build_memory: 3269900074.4, f_measure: 0.9898, kappa: 0.9434, kb_relative_information_score: 5170.9652, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9898, predictive_accuracy: 0.9899, prior_entropy: 0.4751, recall: 0.9899, relative_absolute_error: 0.0611, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.3037, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, build_cpu_time: 79.7742, build_memory: 175117031.2, f_measure: 0.9894, kappa: 0.9413, kb_relative_information_score: 5171.4304, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9894, predictive_accuracy: 0.9895, prior_entropy: 0.4751, recall: 0.9895, relative_absolute_error: 0.0612, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0919, root_relative_squared_error: 0.3039, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, build_cpu_time: 22.7389, build_memory: 199238642.4, f_measure: 0.9871, kappa: 0.9278, kb_relative_information_score: 4569.0546, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9873, predictive_accuracy: 0.9874, prior_entropy: 0.4751, recall: 0.9874, relative_absolute_error: 0.1777, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1063, root_relative_squared_error: 0.3517, scimark_benchmark: 946.5993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, build_cpu_time: 9.9353, build_memory: 1544324332, f_measure: 0.9865, kappa: 0.9246, kb_relative_information_score: 4559.3972, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9868, predictive_accuracy: 0.9868, prior_entropy: 0.4751, recall: 0.9868, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1063, root_relative_squared_error: 0.3516, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, build_cpu_time: 4.9681, build_memory: 2427907096.8, f_measure: 0.986, kappa: 0.9213, kb_relative_information_score: 4561.3453, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9863, predictive_accuracy: 0.9863, prior_entropy: 0.4751, recall: 0.9863, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1058, root_relative_squared_error: 0.3499, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, build_cpu_time: 2.5694, build_memory: 702467368.8, f_measure: 0.9849, kappa: 0.9156, kb_relative_information_score: 4547.5016, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9851, predictive_accuracy: 0.9852, prior_entropy: 0.4751, recall: 0.9852, relative_absolute_error: 0.1757, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.3563, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 0.2995, build_memory: 415965106.4, f_measure: 0.9898, kappa: 0.9433, kb_relative_information_score: 4509.6762, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9901, predictive_accuracy: 0.99, prior_entropy: 0.4751, recall: 0.99, relative_absolute_error: 0.1909, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1074, root_relative_squared_error: 0.3553, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, build_cpu_time: 1.1802, build_memory: 807173531.2, f_measure: 0.9889, kappa: 0.9377, kb_relative_information_score: 4545.7938, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9893, predictive_accuracy: 0.9891, prior_entropy: 0.4751, recall: 0.9891, relative_absolute_error: 0.2053, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.337, scimark_benchmark: 929.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, build_cpu_time: 2.1676, build_memory: 2558010500, f_measure: 0.99, kappa: 0.9441, kb_relative_information_score: 4591.1281, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9903, predictive_accuracy: 0.9902, prior_entropy: 0.4751, recall: 0.9902, relative_absolute_error: 0.2017, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0997, root_relative_squared_error: 0.3297, scimark_benchmark: 874.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, build_cpu_time: 4.9949, build_memory: 525196834.4, f_measure: 0.9889, kappa: 0.9378, kb_relative_information_score: 4601.2519, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9892, predictive_accuracy: 0.9891, prior_entropy: 0.4751, recall: 0.9891, relative_absolute_error: 0.204, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1, root_relative_squared_error: 0.3308, scimark_benchmark: 941.1794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, build_cpu_time: 4.0568, build_memory: 582318253.6, f_measure: 0.9889, kappa: 0.9378, kb_relative_information_score: 4601.2519, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9892, predictive_accuracy: 0.9891, prior_entropy: 0.4751, recall: 0.9891, relative_absolute_error: 0.204, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1, root_relative_squared_error: 0.3308, scimark_benchmark: 917.0415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, build_cpu_time: 256.802, build_memory: 1911429462.4, f_measure: 0.9879, kappa: 0.9323, kb_relative_information_score: 4503.602, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.4751, recall: 0.9883, relative_absolute_error: 0.2265, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1053, root_relative_squared_error: 0.3482, scimark_benchmark: 942.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, build_cpu_time: 156.1057, build_memory: 1547457708, f_measure: 0.9877, kappa: 0.9312, kb_relative_information_score: 4500.2341, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9882, predictive_accuracy: 0.9881, prior_entropy: 0.4751, recall: 0.9881, relative_absolute_error: 0.2269, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1053, root_relative_squared_error: 0.3482, scimark_benchmark: 921.6453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, build_cpu_time: 64.1066, build_memory: 858094536, f_measure: 0.9874, kappa: 0.9292, kb_relative_information_score: 4494.2633, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9879, predictive_accuracy: 0.9877, prior_entropy: 0.4751, recall: 0.9877, relative_absolute_error: 0.2275, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1054, root_relative_squared_error: 0.3486, scimark_benchmark: 933.2917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, build_cpu_time: 40.0826, build_memory: 1363474874.4, f_measure: 0.9877, kappa: 0.9312, kb_relative_information_score: 4492.4888, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9882, predictive_accuracy: 0.9881, prior_entropy: 0.4751, recall: 0.9881, relative_absolute_error: 0.2276, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1053, root_relative_squared_error: 0.3484, scimark_benchmark: 947.2295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, build_cpu_time: 18.3557, build_memory: 708631488, f_measure: 0.9883, kappa: 0.9345, kb_relative_information_score: 4486.8946, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9888, predictive_accuracy: 0.9886, prior_entropy: 0.4751, recall: 0.9886, relative_absolute_error: 0.2276, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1058, root_relative_squared_error: 0.3499, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, build_cpu_time: 0.4566, build_memory: 1558790499.2, f_measure: 0.85, kappa: -0.0004, kb_relative_information_score: 1425.6424, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.8068, predictive_accuracy: 0.898, prior_entropy: 0.4751, recall: 0.898, relative_absolute_error: 0.5614, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.3192, root_relative_squared_error: 1.0556, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5028, build_cpu_time: 0.9023, build_memory: 515581802.4, f_measure: 0.85, kappa: -0.0004, kb_relative_information_score: 1431.6656, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.8068, predictive_accuracy: 0.898, prior_entropy: 0.4751, recall: 0.898, relative_absolute_error: 0.5606, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.319, root_relative_squared_error: 1.055, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5031, build_cpu_time: 2.4522, build_memory: 1021912005.6, f_measure: 0.85, kappa: -0.0004, kb_relative_information_score: 1437.073, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.8068, predictive_accuracy: 0.898, prior_entropy: 0.4751, recall: 0.898, relative_absolute_error: 0.5599, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.319, root_relative_squared_error: 1.0552, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5031, build_cpu_time: 1.8544, build_memory: 316156565.6, f_measure: 0.85, kappa: -0.0004, kb_relative_information_score: 1437.073, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.8068, predictive_accuracy: 0.898, prior_entropy: 0.4751, recall: 0.898, relative_absolute_error: 0.5599, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.319, root_relative_squared_error: 1.0552, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5031, build_cpu_time: 1.7465, build_memory: 977149152, f_measure: 0.85, kappa: -0.0004, kb_relative_information_score: 1437.073, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.8068, predictive_accuracy: 0.898, prior_entropy: 0.4751, recall: 0.898, relative_absolute_error: 0.5599, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.319, root_relative_squared_error: 1.0552, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5031, build_cpu_time: 1.7345, build_memory: 343328743.2, f_measure: 0.85, kappa: -0.0004, kb_relative_information_score: 1437.073, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.8068, predictive_accuracy: 0.898, prior_entropy: 0.4751, recall: 0.898, relative_absolute_error: 0.5599, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.319, root_relative_squared_error: 1.0552, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, build_cpu_time: 26.5976, build_memory: 561930092.8, f_measure: 0.9919, kappa: 0.9548, kb_relative_information_score: 4858.0152, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.4751, recall: 0.992, relative_absolute_error: 0.1493, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0875, root_relative_squared_error: 0.2893, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5101, build_cpu_time: 4.6882, build_memory: 634704732, f_measure: 0.85, kappa: -0.0004, kb_relative_information_score: 1434.4542, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.8068, predictive_accuracy: 0.898, prior_entropy: 0.4751, recall: 0.898, relative_absolute_error: 0.5598, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.319, root_relative_squared_error: 1.055, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5101, build_cpu_time: 3.4157, build_memory: 365052438.4, f_measure: 0.85, kappa: -0.0004, kb_relative_information_score: 1434.4542, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.8068, predictive_accuracy: 0.898, prior_entropy: 0.4751, recall: 0.898, relative_absolute_error: 0.5598, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.319, root_relative_squared_error: 1.055, scimark_benchmark: 899.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 7.3408, build_memory: 973039700, f_measure: 0.9904, kappa: 0.9468, kb_relative_information_score: 4816.5771, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9905, predictive_accuracy: 0.9906, prior_entropy: 0.4751, recall: 0.9906, relative_absolute_error: 0.1423, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.3005, scimark_benchmark: 934.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, build_cpu_time: 10.6314, build_memory: 760165198.4, f_measure: 0.9518, kappa: 0.755, kb_relative_information_score: 3284.7035, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9589, predictive_accuracy: 0.9486, prior_entropy: 0.4751, recall: 0.9486, relative_absolute_error: 0.2908, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.6941, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, build_cpu_time: 0.399, build_memory: 203748995.2, f_measure: 0.9851, kappa: 0.9162, kb_relative_information_score: 5032.1292, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9857, predictive_accuracy: 0.9856, prior_entropy: 0.4751, recall: 0.9856, relative_absolute_error: 0.0771, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1172, root_relative_squared_error: 0.3875, scimark_benchmark: 899.6089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, build_cpu_time: 0.4921, build_memory: 189143691.2, f_measure: 0.95, kappa: 0.7482, kb_relative_information_score: 3329.8017, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9584, predictive_accuracy: 0.9464, prior_entropy: 0.4751, recall: 0.9464, relative_absolute_error: 0.2948, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.7305, scimark_benchmark: 942.5344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, build_cpu_time: 0.5208, build_memory: 154314395.2, f_measure: 0.95, kappa: 0.7482, kb_relative_information_score: 3329.8017, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9584, predictive_accuracy: 0.9464, prior_entropy: 0.4751, recall: 0.9464, relative_absolute_error: 0.2948, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.7305, scimark_benchmark: 929.8459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, build_cpu_time: 0.486, build_memory: 254818677.6, f_measure: 0.95, kappa: 0.7482, kb_relative_information_score: 3329.8017, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9584, predictive_accuracy: 0.9464, prior_entropy: 0.4751, recall: 0.9464, relative_absolute_error: 0.2948, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.7305, scimark_benchmark: 939.2194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, build_cpu_time: 13550.8374, build_memory: 291976146.4, f_measure: 0.9954, kappa: 0.9746, kb_relative_information_score: 5331.045, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 0.4751, recall: 0.9954, relative_absolute_error: 0.0408, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.2063, scimark_benchmark: 931.2177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, build_cpu_time: 19764.6254, build_memory: 1050373122.4, f_measure: 0.9955, kappa: 0.9755, kb_relative_information_score: 5331.7122, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9955, predictive_accuracy: 0.9956, prior_entropy: 0.4751, recall: 0.9956, relative_absolute_error: 0.041, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0621, root_relative_squared_error: 0.2055, scimark_benchmark: 945.5575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, build_cpu_time: 239.8802, build_memory: 66966568, f_measure: 0.9897, kappa: 0.9433, kb_relative_information_score: 5191.1669, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9896, predictive_accuracy: 0.9897, prior_entropy: 0.4751, recall: 0.9897, relative_absolute_error: 0.0555, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0983, root_relative_squared_error: 0.325, scimark_benchmark: 929.2431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, build_cpu_time: 0.141, build_memory: 1235710084.8, f_measure: 0.8501, kb_relative_information_score: 1876.3396, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.8068, predictive_accuracy: 0.8982, prior_entropy: 0.4751, recall: 0.8982, relative_absolute_error: 0.5833, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.7767, scimark_benchmark: 938.4795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, build_cpu_time: 115.6528, build_memory: 859613159.2, f_measure: 0.99, kappa: 0.9452, kb_relative_information_score: 5201.4274, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 0.4751, recall: 0.99, relative_absolute_error: 0.0551, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.3234, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, build_cpu_time: 0.0805, build_memory: 760732797.6, f_measure: 0.8501, kb_relative_information_score: 1870.8583, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.8068, predictive_accuracy: 0.8982, prior_entropy: 0.4751, recall: 0.8982, relative_absolute_error: 0.584, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.7768, scimark_benchmark: 942.728,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, build_cpu_time: 130.3449, build_memory: 1398342495.2, f_measure: 0.9936, kappa: 0.9646, kb_relative_information_score: 5186.4247, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9936, predictive_accuracy: 0.9936, prior_entropy: 0.4751, recall: 0.9936, relative_absolute_error: 0.0615, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.073, root_relative_squared_error: 0.2413, scimark_benchmark: 998.3701,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, build_cpu_time: 1121.169, build_memory: 202310839.2, f_measure: 0.9941, kappa: 0.9675, kb_relative_information_score: 5203.2236, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 0.4751, recall: 0.9941, relative_absolute_error: 0.0604, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0718, root_relative_squared_error: 0.2374, scimark_benchmark: 945.9825,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, build_cpu_time: 292.5752, build_memory: 1406982739.2, f_measure: 0.9948, kappa: 0.9713, kb_relative_information_score: 5408.7732, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9948, predictive_accuracy: 0.9948, prior_entropy: 0.4751, recall: 0.9948, relative_absolute_error: 0.0278, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.071, root_relative_squared_error: 0.2348, scimark_benchmark: 943.404,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, build_cpu_time: 126.1474, build_memory: 700497317.6, f_measure: 0.9942, kappa: 0.9682, kb_relative_information_score: 5383.3439, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 0.4751, recall: 0.9943, relative_absolute_error: 0.0314, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.2462, scimark_benchmark: 941.8931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, build_cpu_time: 69.321, build_memory: 66565668.8, f_measure: 0.9928, kappa: 0.9601, kb_relative_information_score: 5322.5125, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 0.4751, recall: 0.9929, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.2763, scimark_benchmark: 939.6491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, build_cpu_time: 68.9552, build_memory: 71465667.2, f_measure: 0.9928, kappa: 0.9601, kb_relative_information_score: 5322.5125, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 0.4751, recall: 0.9929, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.2763, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, build_cpu_time: 36.9516, build_memory: 80142201.6, f_measure: 0.9906, kappa: 0.9483, kb_relative_information_score: 5226.3646, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 0.4751, recall: 0.9907, relative_absolute_error: 0.0524, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0948, root_relative_squared_error: 0.3136, scimark_benchmark: 942.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, build_cpu_time: 33.7768, build_memory: 1039325198.4, f_measure: 0.9906, kappa: 0.9483, kb_relative_information_score: 5226.3646, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 0.4751, recall: 0.9907, relative_absolute_error: 0.0524, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0948, root_relative_squared_error: 0.3136, scimark_benchmark: 920.6195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, build_cpu_time: 128.131, build_memory: 1774186142.4, f_measure: 0.9895, kappa: 0.9417, kb_relative_information_score: 4824.7281, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9896, predictive_accuracy: 0.9897, prior_entropy: 0.4751, recall: 0.9897, relative_absolute_error: 0.1341, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.2992, scimark_benchmark: 945.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, build_cpu_time: 257.6043, build_memory: 652532776, f_measure: 0.9895, kappa: 0.9418, kb_relative_information_score: 4827.4867, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9896, predictive_accuracy: 0.9897, prior_entropy: 0.4751, recall: 0.9897, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.298, scimark_benchmark: 950.0396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, build_cpu_time: 19.7585, build_memory: 84555290.4, f_measure: 0.9881, kappa: 0.9336, kb_relative_information_score: 4709.9989, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9882, predictive_accuracy: 0.9883, prior_entropy: 0.4751, recall: 0.9883, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1009, root_relative_squared_error: 0.3336, scimark_benchmark: 939.1298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, build_cpu_time: 11.8333, build_memory: 75529711.2, f_measure: 0.9875, kappa: 0.9305, kb_relative_information_score: 4700.1686, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9876, predictive_accuracy: 0.9877, prior_entropy: 0.4751, recall: 0.9877, relative_absolute_error: 0.1466, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.3366, scimark_benchmark: 928.3887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, build_cpu_time: 12.1964, build_memory: 4681523618.4, f_measure: 0.9875, kappa: 0.9305, kb_relative_information_score: 4700.1686, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9876, predictive_accuracy: 0.9877, prior_entropy: 0.4751, recall: 0.9877, relative_absolute_error: 0.1466, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.3366, scimark_benchmark: 898.7772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, build_cpu_time: 5.1909, build_memory: 180019429.6, f_measure: 0.9862, kappa: 0.9233, kb_relative_information_score: 4681.4457, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9863, predictive_accuracy: 0.9865, prior_entropy: 0.4751, recall: 0.9865, relative_absolute_error: 0.1463, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1035, root_relative_squared_error: 0.3424, scimark_benchmark: 943.6603,

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